Versions in this module Expand all Collapse all v0 v0.0.2 Jun 2, 2022 v0.0.1 Jun 2, 2022 Changes in this version + func Abort(scope *Scope, optional ...AbortAttr) (o *tf.Operation) + func Abs(scope *Scope, x tf.Output) (y tf.Output) + func AccumulateNV2(scope *Scope, inputs []tf.Output, shape tf.Shape) (sum tf.Output) + func Acos(scope *Scope, x tf.Output) (y tf.Output) + func Acosh(scope *Scope, x tf.Output) (y tf.Output) + func Add(scope *Scope, x tf.Output, y tf.Output) (z tf.Output) + func AddManySparseToTensorsMap(scope *Scope, sparse_indices tf.Output, sparse_values tf.Output, ...) (sparse_handles tf.Output) + func AddN(scope *Scope, inputs []tf.Output) (sum tf.Output) + func AddSparseToTensorsMap(scope *Scope, sparse_indices tf.Output, sparse_values tf.Output, ...) (sparse_handle tf.Output) + func AddV2(scope *Scope, x tf.Output, y tf.Output) (z tf.Output) + func AdjustContrast(scope *Scope, images tf.Output, contrast_factor tf.Output, min_value tf.Output, ...) (output tf.Output) + func AdjustContrastv2(scope *Scope, images tf.Output, contrast_factor tf.Output) (output tf.Output) + func AdjustHue(scope *Scope, images tf.Output, delta tf.Output) (output tf.Output) + func AdjustSaturation(scope *Scope, images tf.Output, scale tf.Output) (output tf.Output) + func All(scope *Scope, input tf.Output, axis tf.Output, optional ...AllAttr) (output tf.Output) + func AllCandidateSampler(scope *Scope, true_classes tf.Output, num_true int64, num_sampled int64, ...) (sampled_candidates tf.Output, true_expected_count tf.Output, ...) + func AllToAll(scope *Scope, input tf.Output, group_assignment tf.Output, ...) (output tf.Output) + func Angle(scope *Scope, input tf.Output, optional ...AngleAttr) (output tf.Output) + func AnonymousHashTable(scope *Scope, key_dtype tf.DataType, value_dtype tf.DataType) (table_handle tf.Output) + func AnonymousIterator(scope *Scope, output_types []tf.DataType, output_shapes []tf.Shape) (handle tf.Output) + func AnonymousIteratorV2(scope *Scope, output_types []tf.DataType, output_shapes []tf.Shape) (handle tf.Output, deleter tf.Output) + func AnonymousIteratorV3(scope *Scope, output_types []tf.DataType, output_shapes []tf.Shape) (handle tf.Output) + func AnonymousMultiDeviceIterator(scope *Scope, devices []string, output_types []tf.DataType, ...) (handle tf.Output, deleter tf.Output) + func AnonymousMutableDenseHashTable(scope *Scope, empty_key tf.Output, deleted_key tf.Output, ...) (table_handle tf.Output) + func AnonymousMutableHashTable(scope *Scope, key_dtype tf.DataType, value_dtype tf.DataType) (table_handle tf.Output) + func AnonymousMutableHashTableOfTensors(scope *Scope, key_dtype tf.DataType, value_dtype tf.DataType, ...) (table_handle tf.Output) + func Any(scope *Scope, input tf.Output, axis tf.Output, optional ...AnyAttr) (output tf.Output) + func ApproximateEqual(scope *Scope, x tf.Output, y tf.Output, optional ...ApproximateEqualAttr) (z tf.Output) + func ArgMax(scope *Scope, input tf.Output, dimension tf.Output, optional ...ArgMaxAttr) (output tf.Output) + func ArgMin(scope *Scope, input tf.Output, dimension tf.Output, optional ...ArgMinAttr) (output tf.Output) + func AsString(scope *Scope, input tf.Output, optional ...AsStringAttr) (output tf.Output) + func Asin(scope *Scope, x tf.Output) (y tf.Output) + func Asinh(scope *Scope, x tf.Output) (y tf.Output) + func Assert(scope *Scope, condition tf.Output, data []tf.Output, optional ...AssertAttr) (o *tf.Operation) + func AssertNextDataset(scope *Scope, input_dataset tf.Output, transformations tf.Output, ...) (handle tf.Output) + func AssignAddVariableOp(scope *Scope, resource tf.Output, value tf.Output) (o *tf.Operation) + func AssignSubVariableOp(scope *Scope, resource tf.Output, value tf.Output) (o *tf.Operation) + func AssignVariableOp(scope *Scope, resource tf.Output, value tf.Output, ...) (o *tf.Operation) + func AssignVariableXlaConcatND(scope *Scope, resource tf.Output, inputs []tf.Output, num_concats []int64, ...) (o *tf.Operation) + func Atan(scope *Scope, x tf.Output) (y tf.Output) + func Atan2(scope *Scope, y tf.Output, x tf.Output) (z tf.Output) + func Atanh(scope *Scope, x tf.Output) (y tf.Output) + func AudioSpectrogram(scope *Scope, input tf.Output, window_size int64, stride int64, ...) (spectrogram tf.Output) + func AudioSummary(scope *Scope, tag tf.Output, tensor tf.Output, sample_rate float32, ...) (summary tf.Output) + func AudioSummaryV2(scope *Scope, tag tf.Output, tensor tf.Output, sample_rate tf.Output, ...) (summary tf.Output) + func AutoShardDataset(scope *Scope, input_dataset tf.Output, num_workers tf.Output, index tf.Output, ...) (handle tf.Output) + func AvgPool(scope *Scope, value tf.Output, ksize []int64, strides []int64, padding string, ...) (output tf.Output) + func AvgPool3D(scope *Scope, input tf.Output, ksize []int64, strides []int64, padding string, ...) (output tf.Output) + func AvgPool3DGrad(scope *Scope, orig_input_shape tf.Output, grad tf.Output, ksize []int64, ...) (output tf.Output) + func AvgPoolGrad(scope *Scope, orig_input_shape tf.Output, grad tf.Output, ksize []int64, ...) (output tf.Output) + func Batch(scope *Scope, in_tensors []tf.Output, num_batch_threads int64, ...) (batched_tensors []tf.Output, batch_index tf.Output, id tf.Output) + func BatchDataset(scope *Scope, input_dataset tf.Output, batch_size tf.Output, ...) (handle tf.Output) + func BatchDatasetV2(scope *Scope, input_dataset tf.Output, batch_size tf.Output, ...) (handle tf.Output) + func BatchMatMul(scope *Scope, x tf.Output, y tf.Output, optional ...BatchMatMulAttr) (output tf.Output) + func BatchMatMulV2(scope *Scope, x tf.Output, y tf.Output, optional ...BatchMatMulV2Attr) (output tf.Output) + func BatchMatMulV3(scope *Scope, x tf.Output, y tf.Output, Tout tf.DataType, ...) (output tf.Output) + func BatchNormWithGlobalNormalization(scope *Scope, t tf.Output, m tf.Output, v tf.Output, beta tf.Output, ...) (result tf.Output) + func BatchNormWithGlobalNormalizationGrad(scope *Scope, t tf.Output, m tf.Output, v tf.Output, gamma tf.Output, ...) (dx tf.Output, dm tf.Output, dv tf.Output, db tf.Output, dg tf.Output) + func BatchToSpace(scope *Scope, input tf.Output, crops tf.Output, block_size int64) (output tf.Output) + func BatchToSpaceND(scope *Scope, input tf.Output, block_shape tf.Output, crops tf.Output) (output tf.Output) + func Betainc(scope *Scope, a tf.Output, b tf.Output, x tf.Output) (z tf.Output) + func BiasAdd(scope *Scope, value tf.Output, bias tf.Output, optional ...BiasAddAttr) (output tf.Output) + func BiasAddGrad(scope *Scope, out_backprop tf.Output, optional ...BiasAddGradAttr) (output tf.Output) + func BiasAddV1(scope *Scope, value tf.Output, bias tf.Output) (output tf.Output) + func Bincount(scope *Scope, arr tf.Output, size tf.Output, weights tf.Output) (bins tf.Output) + func Bitcast(scope *Scope, input tf.Output, type_ tf.DataType) (output tf.Output) + func BitwiseAnd(scope *Scope, x tf.Output, y tf.Output) (z tf.Output) + func BitwiseOr(scope *Scope, x tf.Output, y tf.Output) (z tf.Output) + func BitwiseXor(scope *Scope, x tf.Output, y tf.Output) (z tf.Output) + func BlockLSTM(scope *Scope, seq_len_max tf.Output, x tf.Output, cs_prev tf.Output, ...) (i tf.Output, cs tf.Output, f tf.Output, o tf.Output, ci tf.Output, ...) + func BlockLSTMGrad(scope *Scope, seq_len_max tf.Output, x tf.Output, cs_prev tf.Output, ...) (x_grad tf.Output, cs_prev_grad tf.Output, h_prev_grad tf.Output, ...) + func BlockLSTMGradV2(scope *Scope, seq_len_max tf.Output, x tf.Output, cs_prev tf.Output, ...) (x_grad tf.Output, cs_prev_grad tf.Output, h_prev_grad tf.Output, ...) + func BlockLSTMV2(scope *Scope, seq_len_max tf.Output, x tf.Output, cs_prev tf.Output, ...) (i tf.Output, cs tf.Output, f tf.Output, o tf.Output, ci tf.Output, ...) + func BoostedTreesAggregateStats(scope *Scope, node_ids tf.Output, gradients tf.Output, hessians tf.Output, ...) (stats_summary tf.Output) + func BoostedTreesBucketize(scope *Scope, float_values []tf.Output, bucket_boundaries []tf.Output) (buckets []tf.Output) + func BoostedTreesCalculateBestFeatureSplit(scope *Scope, node_id_range tf.Output, stats_summary tf.Output, l1 tf.Output, ...) (node_ids tf.Output, gains tf.Output, feature_dimensions tf.Output, ...) + func BoostedTreesCalculateBestFeatureSplitV2(scope *Scope, node_id_range tf.Output, stats_summaries_list []tf.Output, ...) (node_ids tf.Output, gains tf.Output, feature_ids tf.Output, ...) + func BoostedTreesCalculateBestGainsPerFeature(scope *Scope, node_id_range tf.Output, stats_summary_list []tf.Output, ...) (node_ids_list []tf.Output, gains_list []tf.Output, thresholds_list []tf.Output, ...) + func BoostedTreesCenterBias(scope *Scope, tree_ensemble_handle tf.Output, mean_gradients tf.Output, ...) (continue_centering tf.Output) + func BoostedTreesCreateEnsemble(scope *Scope, tree_ensemble_handle tf.Output, stamp_token tf.Output, ...) (o *tf.Operation) + func BoostedTreesCreateQuantileStreamResource(scope *Scope, quantile_stream_resource_handle tf.Output, epsilon tf.Output, ...) (o *tf.Operation) + func BoostedTreesDeserializeEnsemble(scope *Scope, tree_ensemble_handle tf.Output, stamp_token tf.Output, ...) (o *tf.Operation) + func BoostedTreesEnsembleResourceHandleOp(scope *Scope, optional ...BoostedTreesEnsembleResourceHandleOpAttr) (resource tf.Output) + func BoostedTreesExampleDebugOutputs(scope *Scope, tree_ensemble_handle tf.Output, bucketized_features []tf.Output, ...) (examples_debug_outputs_serialized tf.Output) + func BoostedTreesFlushQuantileSummaries(scope *Scope, quantile_stream_resource_handle tf.Output, num_features int64) (summaries []tf.Output) + func BoostedTreesGetEnsembleStates(scope *Scope, tree_ensemble_handle tf.Output) (stamp_token tf.Output, num_trees tf.Output, num_finalized_trees tf.Output, ...) + func BoostedTreesMakeQuantileSummaries(scope *Scope, float_values []tf.Output, example_weights tf.Output, ...) (summaries []tf.Output) + func BoostedTreesMakeStatsSummary(scope *Scope, node_ids tf.Output, gradients tf.Output, hessians tf.Output, ...) (stats_summary tf.Output) + func BoostedTreesPredict(scope *Scope, tree_ensemble_handle tf.Output, bucketized_features []tf.Output, ...) (logits tf.Output) + func BoostedTreesQuantileStreamResourceAddSummaries(scope *Scope, quantile_stream_resource_handle tf.Output, summaries []tf.Output) (o *tf.Operation) + func BoostedTreesQuantileStreamResourceDeserialize(scope *Scope, quantile_stream_resource_handle tf.Output, ...) (o *tf.Operation) + func BoostedTreesQuantileStreamResourceFlush(scope *Scope, quantile_stream_resource_handle tf.Output, num_buckets tf.Output, ...) (o *tf.Operation) + func BoostedTreesQuantileStreamResourceGetBucketBoundaries(scope *Scope, quantile_stream_resource_handle tf.Output, num_features int64) (bucket_boundaries []tf.Output) + func BoostedTreesQuantileStreamResourceHandleOp(scope *Scope, optional ...BoostedTreesQuantileStreamResourceHandleOpAttr) (resource tf.Output) + func BoostedTreesSerializeEnsemble(scope *Scope, tree_ensemble_handle tf.Output) (stamp_token tf.Output, tree_ensemble_serialized tf.Output) + func BoostedTreesSparseAggregateStats(scope *Scope, node_ids tf.Output, gradients tf.Output, hessians tf.Output, ...) (stats_summary_indices tf.Output, stats_summary_values tf.Output, ...) + func BoostedTreesSparseCalculateBestFeatureSplit(scope *Scope, node_id_range tf.Output, stats_summary_indices tf.Output, ...) (node_ids tf.Output, gains tf.Output, feature_dimensions tf.Output, ...) + func BoostedTreesTrainingPredict(scope *Scope, tree_ensemble_handle tf.Output, cached_tree_ids tf.Output, ...) (partial_logits tf.Output, tree_ids tf.Output, node_ids tf.Output) + func BoostedTreesUpdateEnsemble(scope *Scope, tree_ensemble_handle tf.Output, feature_ids tf.Output, ...) (o *tf.Operation) + func BoostedTreesUpdateEnsembleV2(scope *Scope, tree_ensemble_handle tf.Output, feature_ids []tf.Output, ...) (o *tf.Operation) + func BroadcastArgs(scope *Scope, s0 tf.Output, s1 tf.Output) (r0 tf.Output) + func BroadcastGradientArgs(scope *Scope, s0 tf.Output, s1 tf.Output) (r0 tf.Output, r1 tf.Output) + func BroadcastTo(scope *Scope, input tf.Output, shape tf.Output) (output tf.Output) + func Bucketize(scope *Scope, input tf.Output, boundaries []float32) (output tf.Output) + func BytesProducedStatsDataset(scope *Scope, input_dataset tf.Output, tag tf.Output, ...) (handle tf.Output) + func CSRSparseMatrixComponents(scope *Scope, csr_sparse_matrix tf.Output, index tf.Output, type_ tf.DataType) (row_ptrs tf.Output, col_inds tf.Output, values tf.Output) + func CSRSparseMatrixToDense(scope *Scope, sparse_input tf.Output, type_ tf.DataType) (dense_output tf.Output) + func CSRSparseMatrixToSparseTensor(scope *Scope, sparse_matrix tf.Output, type_ tf.DataType) (indices tf.Output, values tf.Output, dense_shape tf.Output) + func CTCBeamSearchDecoder(scope *Scope, inputs tf.Output, sequence_length tf.Output, beam_width int64, ...) (decoded_indices []tf.Output, decoded_values []tf.Output, ...) + func CTCGreedyDecoder(scope *Scope, inputs tf.Output, sequence_length tf.Output, ...) (decoded_indices tf.Output, decoded_values tf.Output, decoded_shape tf.Output, ...) + func CTCLoss(scope *Scope, inputs tf.Output, labels_indices tf.Output, ...) (loss tf.Output, gradient tf.Output) + func CTCLossV2(scope *Scope, inputs tf.Output, labels_indices tf.Output, ...) (loss tf.Output, gradient tf.Output) + func CacheDataset(scope *Scope, input_dataset tf.Output, filename tf.Output, ...) (handle tf.Output) + func Cast(scope *Scope, x tf.Output, DstT tf.DataType, optional ...CastAttr) (y tf.Output) + func Ceil(scope *Scope, x tf.Output) (y tf.Output) + func CheckNumerics(scope *Scope, tensor tf.Output, message string) (output tf.Output) + func CheckNumericsV2(scope *Scope, tensor tf.Output, message string) (output tf.Output) + func Cholesky(scope *Scope, input tf.Output) (output tf.Output) + func CholeskyGrad(scope *Scope, l tf.Output, grad tf.Output) (output tf.Output) + func ClipByValue(scope *Scope, t tf.Output, clip_value_min tf.Output, clip_value_max tf.Output) (output tf.Output) + func CollectiveAllToAllV3(scope *Scope, input tf.Output, communicator tf.Output, ...) (data tf.Output) + func CollectiveBcastRecv(scope *Scope, T tf.DataType, group_size int64, group_key int64, ...) (data tf.Output) + func CollectiveBcastRecvV2(scope *Scope, group_size tf.Output, group_key tf.Output, ...) (data tf.Output) + func CollectiveBcastSend(scope *Scope, input tf.Output, group_size int64, group_key int64, ...) (data tf.Output) + func CollectiveBcastSendV2(scope *Scope, input tf.Output, group_size tf.Output, group_key tf.Output, ...) (data tf.Output) + func CollectiveGather(scope *Scope, input tf.Output, group_size int64, group_key int64, ...) (data tf.Output) + func CollectiveGatherV2(scope *Scope, input tf.Output, group_size tf.Output, group_key tf.Output, ...) (data tf.Output) + func CollectiveInitializeCommunicator(scope *Scope, group_key tf.Output, rank tf.Output, group_size tf.Output, ...) (communicator tf.Output) + func CollectivePermute(scope *Scope, input tf.Output, source_target_pairs tf.Output) (output tf.Output) + func CollectiveReduce(scope *Scope, input tf.Output, group_size int64, group_key int64, ...) (data tf.Output) + func CollectiveReduceV2(scope *Scope, input tf.Output, group_size tf.Output, group_key tf.Output, ...) (data tf.Output) + func CollectiveReduceV3(scope *Scope, input tf.Output, communicator tf.Output, ...) (data tf.Output) + func CombinedNonMaxSuppression(scope *Scope, boxes tf.Output, scores tf.Output, ...) (nmsed_boxes tf.Output, nmsed_scores tf.Output, nmsed_classes tf.Output, ...) + func Complex(scope *Scope, real tf.Output, imag tf.Output, optional ...ComplexAttr) (out tf.Output) + func ComplexAbs(scope *Scope, x tf.Output, optional ...ComplexAbsAttr) (y tf.Output) + func CompositeTensorVariantFromComponents(scope *Scope, components []tf.Output, metadata string) (encoded tf.Output) + func CompositeTensorVariantToComponents(scope *Scope, encoded tf.Output, metadata string, Tcomponents []tf.DataType) (components []tf.Output) + func CompressElement(scope *Scope, components []tf.Output) (compressed tf.Output) + func ComputeAccidentalHits(scope *Scope, true_classes tf.Output, sampled_candidates tf.Output, ...) (indices tf.Output, ids tf.Output, weights tf.Output) + func ComputeBatchSize(scope *Scope, input_dataset tf.Output) (batch_size tf.Output) + func Concat(scope *Scope, concat_dim tf.Output, values []tf.Output) (output tf.Output) + func ConcatOffset(scope *Scope, concat_dim tf.Output, shape []tf.Output) (offset []tf.Output) + func ConcatV2(scope *Scope, values []tf.Output, axis tf.Output) (output tf.Output) + func ConcatenateDataset(scope *Scope, input_dataset tf.Output, another_dataset tf.Output, ...) (handle tf.Output) + func ConfigureDistributedTPU(scope *Scope, optional ...ConfigureDistributedTPUAttr) (topology tf.Output) + func ConfigureTPUEmbedding(scope *Scope, config string) (o *tf.Operation) + func Conj(scope *Scope, input tf.Output) (output tf.Output) + func ConjugateTranspose(scope *Scope, x tf.Output, perm tf.Output) (y tf.Output) + func Const(scope *Scope, value interface{}) (output tf.Output) + func ConsumeMutexLock(scope *Scope, mutex_lock tf.Output) (o *tf.Operation) + func ControlTrigger(scope *Scope) (o *tf.Operation) + func Conv2D(scope *Scope, input tf.Output, filter tf.Output, strides []int64, ...) (output tf.Output) + func Conv2DBackpropFilter(scope *Scope, input tf.Output, filter_sizes tf.Output, out_backprop tf.Output, ...) (output tf.Output) + func Conv2DBackpropInput(scope *Scope, input_sizes tf.Output, filter tf.Output, out_backprop tf.Output, ...) (output tf.Output) + func Conv3D(scope *Scope, input tf.Output, filter tf.Output, strides []int64, ...) (output tf.Output) + func Conv3DBackpropFilter(scope *Scope, input tf.Output, filter tf.Output, out_backprop tf.Output, ...) (output tf.Output) + func Conv3DBackpropFilterV2(scope *Scope, input tf.Output, filter_sizes tf.Output, out_backprop tf.Output, ...) (output tf.Output) + func Conv3DBackpropInput(scope *Scope, input tf.Output, filter tf.Output, out_backprop tf.Output, ...) (output tf.Output) + func Conv3DBackpropInputV2(scope *Scope, input_sizes tf.Output, filter tf.Output, out_backprop tf.Output, ...) (output tf.Output) + func Copy(scope *Scope, input tf.Output, optional ...CopyAttr) (output tf.Output) + func CopyHost(scope *Scope, input tf.Output, optional ...CopyHostAttr) (output tf.Output) + func Cos(scope *Scope, x tf.Output) (y tf.Output) + func Cosh(scope *Scope, x tf.Output) (y tf.Output) + func CropAndResize(scope *Scope, image tf.Output, boxes tf.Output, box_ind tf.Output, ...) (crops tf.Output) + func CropAndResizeGradBoxes(scope *Scope, grads tf.Output, image tf.Output, boxes tf.Output, ...) (output tf.Output) + func CropAndResizeGradImage(scope *Scope, grads tf.Output, boxes tf.Output, box_ind tf.Output, ...) (output tf.Output) + func Cross(scope *Scope, a tf.Output, b tf.Output) (product tf.Output) + func CrossReplicaSum(scope *Scope, input tf.Output, group_assignment tf.Output) (output tf.Output) + func CudnnRNN(scope *Scope, input tf.Output, input_h tf.Output, input_c tf.Output, ...) (output tf.Output, output_h tf.Output, output_c tf.Output, ...) + func CudnnRNNBackprop(scope *Scope, input tf.Output, input_h tf.Output, input_c tf.Output, ...) (input_backprop tf.Output, input_h_backprop tf.Output, ...) + func CudnnRNNBackpropV2(scope *Scope, input tf.Output, input_h tf.Output, input_c tf.Output, ...) (input_backprop tf.Output, input_h_backprop tf.Output, ...) + func CudnnRNNBackpropV3(scope *Scope, input tf.Output, input_h tf.Output, input_c tf.Output, ...) (input_backprop tf.Output, input_h_backprop tf.Output, ...) + func CudnnRNNCanonicalToParams(scope *Scope, num_layers tf.Output, num_units tf.Output, input_size tf.Output, ...) (params tf.Output) + func CudnnRNNCanonicalToParamsV2(scope *Scope, num_layers tf.Output, num_units tf.Output, input_size tf.Output, ...) (params tf.Output) + func CudnnRNNParamsSize(scope *Scope, num_layers tf.Output, num_units tf.Output, input_size tf.Output, ...) (params_size tf.Output) + func CudnnRNNParamsToCanonical(scope *Scope, num_layers tf.Output, num_units tf.Output, input_size tf.Output, ...) (weights []tf.Output, biases []tf.Output) + func CudnnRNNParamsToCanonicalV2(scope *Scope, num_layers tf.Output, num_units tf.Output, input_size tf.Output, ...) (weights []tf.Output, biases []tf.Output) + func CudnnRNNV2(scope *Scope, input tf.Output, input_h tf.Output, input_c tf.Output, ...) (output tf.Output, output_h tf.Output, output_c tf.Output, ...) + func CudnnRNNV3(scope *Scope, input tf.Output, input_h tf.Output, input_c tf.Output, ...) (output tf.Output, output_h tf.Output, output_c tf.Output, ...) + func Cumprod(scope *Scope, x tf.Output, axis tf.Output, optional ...CumprodAttr) (out tf.Output) + func Cumsum(scope *Scope, x tf.Output, axis tf.Output, optional ...CumsumAttr) (out tf.Output) + func CumulativeLogsumexp(scope *Scope, x tf.Output, axis tf.Output, optional ...CumulativeLogsumexpAttr) (out tf.Output) + func DataFormatDimMap(scope *Scope, x tf.Output, optional ...DataFormatDimMapAttr) (y tf.Output) + func DataFormatVecPermute(scope *Scope, x tf.Output, optional ...DataFormatVecPermuteAttr) (y tf.Output) + func DataServiceDataset(scope *Scope, dataset_id tf.Output, processing_mode tf.Output, ...) (handle tf.Output) + func DataServiceDatasetV2(scope *Scope, dataset_id tf.Output, processing_mode tf.Output, ...) (handle tf.Output) + func DatasetCardinality(scope *Scope, input_dataset tf.Output) (cardinality tf.Output) + func DatasetFromGraph(scope *Scope, graph_def tf.Output) (handle tf.Output) + func DatasetToGraph(scope *Scope, input_dataset tf.Output, optional ...DatasetToGraphAttr) (graph tf.Output) + func DatasetToGraphV2(scope *Scope, input_dataset tf.Output, optional ...DatasetToGraphV2Attr) (graph tf.Output) + func DatasetToSingleElement(scope *Scope, dataset tf.Output, output_types []tf.DataType, ...) (components []tf.Output) + func DatasetToTFRecord(scope *Scope, input_dataset tf.Output, filename tf.Output, ...) (o *tf.Operation) + func DebugGradientIdentity(scope *Scope, input tf.Output) (output tf.Output) + func DebugIdentity(scope *Scope, input tf.Output, optional ...DebugIdentityAttr) (output tf.Output) + func DebugIdentityV2(scope *Scope, input tf.Output, optional ...DebugIdentityV2Attr) (output tf.Output) + func DebugNanCount(scope *Scope, input tf.Output, optional ...DebugNanCountAttr) (output tf.Output) + func DebugNumericSummary(scope *Scope, input tf.Output, optional ...DebugNumericSummaryAttr) (output tf.Output) + func DebugNumericSummaryV2(scope *Scope, input tf.Output, optional ...DebugNumericSummaryV2Attr) (output tf.Output) + func DecodeAndCropJpeg(scope *Scope, contents tf.Output, crop_window tf.Output, ...) (image tf.Output) + func DecodeBase64(scope *Scope, input tf.Output) (output tf.Output) + func DecodeBmp(scope *Scope, contents tf.Output, optional ...DecodeBmpAttr) (image tf.Output) + func DecodeCSV(scope *Scope, records tf.Output, record_defaults []tf.Output, ...) (output []tf.Output) + func DecodeCompressed(scope *Scope, bytes tf.Output, optional ...DecodeCompressedAttr) (output tf.Output) + func DecodeGif(scope *Scope, contents tf.Output) (image tf.Output) + func DecodeImage(scope *Scope, contents tf.Output, optional ...DecodeImageAttr) (image tf.Output) + func DecodeJSONExample(scope *Scope, json_examples tf.Output) (binary_examples tf.Output) + func DecodeJpeg(scope *Scope, contents tf.Output, optional ...DecodeJpegAttr) (image tf.Output) + func DecodePaddedRaw(scope *Scope, input_bytes tf.Output, fixed_length tf.Output, ...) (output tf.Output) + func DecodePng(scope *Scope, contents tf.Output, optional ...DecodePngAttr) (image tf.Output) + func DecodeProtoV2(scope *Scope, bytes tf.Output, message_type string, field_names []string, ...) (sizes tf.Output, values []tf.Output) + func DecodeRaw(scope *Scope, bytes tf.Output, out_type tf.DataType, optional ...DecodeRawAttr) (output tf.Output) + func DecodeWav(scope *Scope, contents tf.Output, optional ...DecodeWavAttr) (audio tf.Output, sample_rate tf.Output) + func DeepCopy(scope *Scope, x tf.Output) (y tf.Output) + func DeleteIterator(scope *Scope, handle tf.Output, deleter tf.Output) (o *tf.Operation) + func DeleteMultiDeviceIterator(scope *Scope, multi_device_iterator tf.Output, iterators []tf.Output, ...) (o *tf.Operation) + func DeleteSessionTensor(scope *Scope, handle tf.Output) (o *tf.Operation) + func DenseBincount(scope *Scope, input tf.Output, size tf.Output, weights tf.Output, ...) (output tf.Output) + func DenseCountSparseOutput(scope *Scope, values tf.Output, weights tf.Output, binary_output bool, ...) (output_indices tf.Output, output_values tf.Output, ...) + func DenseToCSRSparseMatrix(scope *Scope, dense_input tf.Output, indices tf.Output) (sparse_output tf.Output) + func DenseToDenseSetOperation(scope *Scope, set1 tf.Output, set2 tf.Output, set_operation string, ...) (result_indices tf.Output, result_values tf.Output, result_shape tf.Output) + func DenseToSparseBatchDataset(scope *Scope, input_dataset tf.Output, batch_size tf.Output, ...) (handle tf.Output) + func DenseToSparseSetOperation(scope *Scope, set1 tf.Output, set2_indices tf.Output, set2_values tf.Output, ...) (result_indices tf.Output, result_values tf.Output, result_shape tf.Output) + func DepthToSpace(scope *Scope, input tf.Output, block_size int64, optional ...DepthToSpaceAttr) (output tf.Output) + func DepthwiseConv2dNative(scope *Scope, input tf.Output, filter tf.Output, strides []int64, ...) (output tf.Output) + func DepthwiseConv2dNativeBackpropFilter(scope *Scope, input tf.Output, filter_sizes tf.Output, out_backprop tf.Output, ...) (output tf.Output) + func DepthwiseConv2dNativeBackpropInput(scope *Scope, input_sizes tf.Output, filter tf.Output, out_backprop tf.Output, ...) (output tf.Output) + func Dequantize(scope *Scope, input tf.Output, min_range tf.Output, max_range tf.Output, ...) (output tf.Output) + func DeserializeIterator(scope *Scope, resource_handle tf.Output, serialized tf.Output) (o *tf.Operation) + func DeserializeManySparse(scope *Scope, serialized_sparse tf.Output, dtype tf.DataType) (sparse_indices tf.Output, sparse_values tf.Output, sparse_shape tf.Output) + func DeserializeSparse(scope *Scope, serialized_sparse tf.Output, dtype tf.DataType) (sparse_indices tf.Output, sparse_values tf.Output, sparse_shape tf.Output) + func DestroyResourceOp(scope *Scope, resource tf.Output, optional ...DestroyResourceOpAttr) (o *tf.Operation) + func DeviceIndex(scope *Scope, device_names []string) (index tf.Output) + func Diag(scope *Scope, diagonal tf.Output) (output tf.Output) + func DiagPart(scope *Scope, input tf.Output) (diagonal tf.Output) + func Digamma(scope *Scope, x tf.Output) (y tf.Output) + func Dilation2D(scope *Scope, input tf.Output, filter tf.Output, strides []int64, ...) (output tf.Output) + func Dilation2DBackpropFilter(scope *Scope, input tf.Output, filter tf.Output, out_backprop tf.Output, ...) (filter_backprop tf.Output) + func Dilation2DBackpropInput(scope *Scope, input tf.Output, filter tf.Output, out_backprop tf.Output, ...) (in_backprop tf.Output) + func DirectedInterleaveDataset(scope *Scope, selector_input_dataset tf.Output, ...) (handle tf.Output) + func Div(scope *Scope, x tf.Output, y tf.Output) (z tf.Output) + func DivNoNan(scope *Scope, x tf.Output, y tf.Output) (z tf.Output) + func DrawBoundingBoxes(scope *Scope, images tf.Output, boxes tf.Output) (output tf.Output) + func DrawBoundingBoxesV2(scope *Scope, images tf.Output, boxes tf.Output, colors tf.Output) (output tf.Output) + func DynamicEnqueueTPUEmbeddingArbitraryTensorBatch(scope *Scope, sample_indices_or_row_lengths []tf.Output, ...) (o *tf.Operation) + func DynamicPartition(scope *Scope, data tf.Output, partitions tf.Output, num_partitions int64) (outputs []tf.Output) + func DynamicStitch(scope *Scope, indices []tf.Output, data []tf.Output) (merged tf.Output) + func EagerPyFunc(scope *Scope, input []tf.Output, token string, Tout []tf.DataType, ...) (output []tf.Output) + func EditDistance(scope *Scope, hypothesis_indices tf.Output, hypothesis_values tf.Output, ...) (output tf.Output) + func Eig(scope *Scope, input tf.Output, Tout tf.DataType, optional ...EigAttr) (e tf.Output, v tf.Output) + func Einsum(scope *Scope, inputs []tf.Output, equation string) (output tf.Output) + func Elu(scope *Scope, features tf.Output) (activations tf.Output) + func EluGrad(scope *Scope, gradients tf.Output, outputs tf.Output) (backprops tf.Output) + func Empty(scope *Scope, shape tf.Output, dtype tf.DataType, optional ...EmptyAttr) (output tf.Output) + func EmptyTensorList(scope *Scope, element_shape tf.Output, max_num_elements tf.Output, ...) (handle tf.Output) + func EmptyTensorMap(scope *Scope) (handle tf.Output) + func EncodeBase64(scope *Scope, input tf.Output, optional ...EncodeBase64Attr) (output tf.Output) + func EncodeJpeg(scope *Scope, image tf.Output, optional ...EncodeJpegAttr) (contents tf.Output) + func EncodeJpegVariableQuality(scope *Scope, images tf.Output, quality tf.Output) (contents tf.Output) + func EncodePng(scope *Scope, image tf.Output, optional ...EncodePngAttr) (contents tf.Output) + func EncodeProto(scope *Scope, sizes tf.Output, values []tf.Output, field_names []string, ...) (bytes tf.Output) + func EncodeWav(scope *Scope, audio tf.Output, sample_rate tf.Output) (contents tf.Output) + func EnqueueTPUEmbeddingArbitraryTensorBatch(scope *Scope, sample_indices_or_row_lengths []tf.Output, ...) (o *tf.Operation) + func EnqueueTPUEmbeddingIntegerBatch(scope *Scope, batch []tf.Output, mode_override tf.Output, ...) (o *tf.Operation) + func EnqueueTPUEmbeddingRaggedTensorBatch(scope *Scope, sample_splits []tf.Output, embedding_indices []tf.Output, ...) (o *tf.Operation) + func EnqueueTPUEmbeddingSparseBatch(scope *Scope, sample_indices []tf.Output, embedding_indices []tf.Output, ...) (o *tf.Operation) + func EnqueueTPUEmbeddingSparseTensorBatch(scope *Scope, sample_indices []tf.Output, embedding_indices []tf.Output, ...) (o *tf.Operation) + func EnsureShape(scope *Scope, input tf.Output, shape tf.Shape) (output tf.Output) + func Enter(scope *Scope, data tf.Output, frame_name string, optional ...EnterAttr) (output tf.Output) + func Equal(scope *Scope, x tf.Output, y tf.Output, optional ...EqualAttr) (z tf.Output) + func Erf(scope *Scope, x tf.Output) (y tf.Output) + func Erfc(scope *Scope, x tf.Output) (y tf.Output) + func EuclideanNorm(scope *Scope, input tf.Output, axis tf.Output, optional ...EuclideanNormAttr) (output tf.Output) + func Exit(scope *Scope, data tf.Output) (output tf.Output) + func Exp(scope *Scope, x tf.Output) (y tf.Output) + func ExpandDims(scope *Scope, input tf.Output, axis tf.Output) (output tf.Output) + func ExperimentalAutoShardDataset(scope *Scope, input_dataset tf.Output, num_workers tf.Output, index tf.Output, ...) (handle tf.Output) + func ExperimentalBytesProducedStatsDataset(scope *Scope, input_dataset tf.Output, tag tf.Output, ...) (handle tf.Output) + func ExperimentalDatasetCardinality(scope *Scope, input_dataset tf.Output) (cardinality tf.Output) + func ExperimentalDatasetToTFRecord(scope *Scope, input_dataset tf.Output, filename tf.Output, ...) (o *tf.Operation) + func ExperimentalDenseToSparseBatchDataset(scope *Scope, input_dataset tf.Output, batch_size tf.Output, ...) (handle tf.Output) + func ExperimentalDirectedInterleaveDataset(scope *Scope, selector_input_dataset tf.Output, ...) (handle tf.Output) + func ExperimentalIgnoreErrorsDataset(scope *Scope, input_dataset tf.Output, output_types []tf.DataType, ...) (handle tf.Output) + func ExperimentalIteratorGetDevice(scope *Scope, resource tf.Output) (device tf.Output) + func ExperimentalLatencyStatsDataset(scope *Scope, input_dataset tf.Output, tag tf.Output, ...) (handle tf.Output) + func ExperimentalMaxIntraOpParallelismDataset(scope *Scope, input_dataset tf.Output, max_intra_op_parallelism tf.Output, ...) (handle tf.Output) + func ExperimentalParseExampleDataset(scope *Scope, input_dataset tf.Output, num_parallel_calls tf.Output, ...) (handle tf.Output) + func ExperimentalPrivateThreadPoolDataset(scope *Scope, input_dataset tf.Output, num_threads tf.Output, ...) (handle tf.Output) + func ExperimentalRandomDataset(scope *Scope, seed tf.Output, seed2 tf.Output, output_types []tf.DataType, ...) (handle tf.Output) + func ExperimentalRebatchDataset(scope *Scope, input_dataset tf.Output, num_replicas tf.Output, ...) (handle tf.Output) + func ExperimentalSlidingWindowDataset(scope *Scope, input_dataset tf.Output, window_size tf.Output, ...) (handle tf.Output) + func ExperimentalSqlDataset(scope *Scope, driver_name tf.Output, data_source_name tf.Output, ...) (handle tf.Output) + func ExperimentalStatsAggregatorHandle(scope *Scope, optional ...ExperimentalStatsAggregatorHandleAttr) (handle tf.Output) + func ExperimentalStatsAggregatorSummary(scope *Scope, iterator tf.Output) (summary tf.Output) + func ExperimentalThreadPoolDataset(scope *Scope, input_dataset tf.Output, thread_pool tf.Output, ...) (handle tf.Output) + func ExperimentalThreadPoolHandle(scope *Scope, num_threads int64, display_name string, ...) (handle tf.Output) + func ExperimentalUnbatchDataset(scope *Scope, input_dataset tf.Output, output_types []tf.DataType, ...) (handle tf.Output) + func ExperimentalUniqueDataset(scope *Scope, input_dataset tf.Output, output_types []tf.DataType, ...) (handle tf.Output) + func Expm1(scope *Scope, x tf.Output) (y tf.Output) + func ExtractGlimpse(scope *Scope, input tf.Output, size tf.Output, offsets tf.Output, ...) (glimpse tf.Output) + func ExtractGlimpseV2(scope *Scope, input tf.Output, size tf.Output, offsets tf.Output, ...) (glimpse tf.Output) + func ExtractImagePatches(scope *Scope, images tf.Output, ksizes []int64, strides []int64, rates []int64, ...) (patches tf.Output) + func ExtractJpegShape(scope *Scope, contents tf.Output, optional ...ExtractJpegShapeAttr) (image_shape tf.Output) + func ExtractVolumePatches(scope *Scope, input tf.Output, ksizes []int64, strides []int64, padding string) (patches tf.Output) + func FFT(scope *Scope, input tf.Output) (output tf.Output) + func FFT2D(scope *Scope, input tf.Output) (output tf.Output) + func FFT3D(scope *Scope, input tf.Output) (output tf.Output) + func FIFOQueueV2(scope *Scope, component_types []tf.DataType, optional ...FIFOQueueV2Attr) (handle tf.Output) + func Fact(scope *Scope) (fact tf.Output) + func FakeParam(scope *Scope, dtype tf.DataType, shape tf.Shape) (output tf.Output) + func FakeQuantWithMinMaxArgs(scope *Scope, inputs tf.Output, optional ...FakeQuantWithMinMaxArgsAttr) (outputs tf.Output) + func FakeQuantWithMinMaxArgsGradient(scope *Scope, gradients tf.Output, inputs tf.Output, ...) (backprops tf.Output) + func FakeQuantWithMinMaxVars(scope *Scope, inputs tf.Output, min tf.Output, max tf.Output, ...) (outputs tf.Output) + func FakeQuantWithMinMaxVarsGradient(scope *Scope, gradients tf.Output, inputs tf.Output, min tf.Output, ...) (backprops_wrt_input tf.Output, backprop_wrt_min tf.Output, ...) + func FakeQuantWithMinMaxVarsPerChannel(scope *Scope, inputs tf.Output, min tf.Output, max tf.Output, ...) (outputs tf.Output) + func FakeQuantWithMinMaxVarsPerChannelGradient(scope *Scope, gradients tf.Output, inputs tf.Output, min tf.Output, ...) (backprops_wrt_input tf.Output, backprop_wrt_min tf.Output, ...) + func FileSystemSetConfiguration(scope *Scope, scheme tf.Output, key tf.Output, value tf.Output) (o *tf.Operation) + func Fill(scope *Scope, dims tf.Output, value tf.Output) (output tf.Output) + func FilterByLastComponentDataset(scope *Scope, input_dataset tf.Output, output_types []tf.DataType, ...) (output tf.Output) + func FinalizeDataset(scope *Scope, input_dataset tf.Output, output_types []tf.DataType, ...) (handle tf.Output) + func Fingerprint(scope *Scope, data tf.Output, method tf.Output) (fingerprint tf.Output) + func FixedLengthRecordDataset(scope *Scope, filenames tf.Output, header_bytes tf.Output, ...) (handle tf.Output) + func FixedLengthRecordReaderV2(scope *Scope, record_bytes int64, optional ...FixedLengthRecordReaderV2Attr) (reader_handle tf.Output) + func FixedUnigramCandidateSampler(scope *Scope, true_classes tf.Output, num_true int64, num_sampled int64, ...) (sampled_candidates tf.Output, true_expected_count tf.Output, ...) + func Floor(scope *Scope, x tf.Output) (y tf.Output) + func FloorDiv(scope *Scope, x tf.Output, y tf.Output) (z tf.Output) + func FloorMod(scope *Scope, x tf.Output, y tf.Output) (z tf.Output) + func FractionalAvgPool(scope *Scope, value tf.Output, pooling_ratio []float32, ...) (output tf.Output, row_pooling_sequence tf.Output, ...) + func FractionalAvgPoolGrad(scope *Scope, orig_input_tensor_shape tf.Output, out_backprop tf.Output, ...) (output tf.Output) + func FractionalMaxPool(scope *Scope, value tf.Output, pooling_ratio []float32, ...) (output tf.Output, row_pooling_sequence tf.Output, ...) + func FractionalMaxPoolGrad(scope *Scope, orig_input tf.Output, orig_output tf.Output, ...) (output tf.Output) + func FusedBatchNorm(scope *Scope, x tf.Output, scale tf.Output, offset tf.Output, mean tf.Output, ...) (y tf.Output, batch_mean tf.Output, batch_variance tf.Output, ...) + func FusedBatchNormGrad(scope *Scope, y_backprop tf.Output, x tf.Output, scale tf.Output, ...) (x_backprop tf.Output, scale_backprop tf.Output, offset_backprop tf.Output, ...) + func FusedBatchNormGradV2(scope *Scope, y_backprop tf.Output, x tf.Output, scale tf.Output, ...) (x_backprop tf.Output, scale_backprop tf.Output, offset_backprop tf.Output, ...) + func FusedBatchNormGradV3(scope *Scope, y_backprop tf.Output, x tf.Output, scale tf.Output, ...) (x_backprop tf.Output, scale_backprop tf.Output, offset_backprop tf.Output, ...) + func FusedBatchNormV2(scope *Scope, x tf.Output, scale tf.Output, offset tf.Output, mean tf.Output, ...) (y tf.Output, batch_mean tf.Output, batch_variance tf.Output, ...) + func FusedBatchNormV3(scope *Scope, x tf.Output, scale tf.Output, offset tf.Output, mean tf.Output, ...) (y tf.Output, batch_mean tf.Output, batch_variance tf.Output, ...) + func FusedPadConv2D(scope *Scope, input tf.Output, paddings tf.Output, filter tf.Output, ...) (output tf.Output) + func FusedResizeAndPadConv2D(scope *Scope, input tf.Output, size tf.Output, paddings tf.Output, ...) (output tf.Output) + func GRUBlockCell(scope *Scope, x tf.Output, h_prev tf.Output, w_ru tf.Output, w_c tf.Output, ...) (r tf.Output, u tf.Output, c tf.Output, h tf.Output) + func GRUBlockCellGrad(scope *Scope, x tf.Output, h_prev tf.Output, w_ru tf.Output, w_c tf.Output, ...) (d_x tf.Output, d_h_prev tf.Output, d_c_bar tf.Output, d_r_bar_u_bar tf.Output) + func Gather(scope *Scope, params tf.Output, indices tf.Output, optional ...GatherAttr) (output tf.Output) + func GatherNd(scope *Scope, params tf.Output, indices tf.Output) (output tf.Output) + func GatherV2(scope *Scope, params tf.Output, indices tf.Output, axis tf.Output, ...) (output tf.Output) + func GenerateBoundingBoxProposals(scope *Scope, scores tf.Output, bbox_deltas tf.Output, image_info tf.Output, ...) (rois tf.Output, roi_probabilities tf.Output) + func GenerateVocabRemapping(scope *Scope, new_vocab_file tf.Output, old_vocab_file tf.Output, ...) (remapping tf.Output, num_present tf.Output) + func GetElementAtIndex(scope *Scope, dataset tf.Output, index tf.Output, output_types []tf.DataType, ...) (components []tf.Output) + func GetOptions(scope *Scope, input_dataset tf.Output) (serialized_options tf.Output) + func GetSessionHandle(scope *Scope, value tf.Output) (handle tf.Output) + func GetSessionHandleV2(scope *Scope, value tf.Output) (handle tf.Output) + func GetSessionTensor(scope *Scope, handle tf.Output, dtype tf.DataType) (value tf.Output) + func Gradients(scope *Scope, y []tf.Output, x []tf.Output, dx ...tf.Output) (output []tf.Output) + func Greater(scope *Scope, x tf.Output, y tf.Output) (z tf.Output) + func GreaterEqual(scope *Scope, x tf.Output, y tf.Output) (z tf.Output) + func GuaranteeConst(scope *Scope, input tf.Output) (output tf.Output) + func HSVToRGB(scope *Scope, images tf.Output) (output tf.Output) + func HashTableV2(scope *Scope, key_dtype tf.DataType, value_dtype tf.DataType, ...) (table_handle tf.Output) + func HistogramFixedWidth(scope *Scope, values tf.Output, value_range tf.Output, nbins tf.Output, ...) (out tf.Output) + func HistogramSummary(scope *Scope, tag tf.Output, values tf.Output) (summary tf.Output) + func HostConst(scope *Scope, value tf.Tensor, dtype tf.DataType) (output tf.Output) + func IFFT(scope *Scope, input tf.Output) (output tf.Output) + func IFFT2D(scope *Scope, input tf.Output) (output tf.Output) + func IFFT3D(scope *Scope, input tf.Output) (output tf.Output) + func IRFFT(scope *Scope, input tf.Output, fft_length tf.Output, optional ...IRFFTAttr) (output tf.Output) + func IRFFT2D(scope *Scope, input tf.Output, fft_length tf.Output, optional ...IRFFT2DAttr) (output tf.Output) + func IRFFT3D(scope *Scope, input tf.Output, fft_length tf.Output, optional ...IRFFT3DAttr) (output tf.Output) + func Identity(scope *Scope, input tf.Output) (output tf.Output) + func IdentityN(scope *Scope, input []tf.Output) (output []tf.Output) + func IdentityReaderV2(scope *Scope, optional ...IdentityReaderV2Attr) (reader_handle tf.Output) + func Igamma(scope *Scope, a tf.Output, x tf.Output) (z tf.Output) + func IgammaGradA(scope *Scope, a tf.Output, x tf.Output) (z tf.Output) + func Igammac(scope *Scope, a tf.Output, x tf.Output) (z tf.Output) + func IgnoreErrorsDataset(scope *Scope, input_dataset tf.Output, output_types []tf.DataType, ...) (handle tf.Output) + func Imag(scope *Scope, input tf.Output, optional ...ImagAttr) (output tf.Output) + func ImageProjectiveTransformV2(scope *Scope, images tf.Output, transforms tf.Output, output_shape tf.Output, ...) (transformed_images tf.Output) + func ImageProjectiveTransformV3(scope *Scope, images tf.Output, transforms tf.Output, output_shape tf.Output, ...) (transformed_images tf.Output) + func ImageSummary(scope *Scope, tag tf.Output, tensor tf.Output, optional ...ImageSummaryAttr) (summary tf.Output) + func ImmutableConst(scope *Scope, dtype tf.DataType, shape tf.Shape, memory_region_name string) (tensor tf.Output) + func InTopK(scope *Scope, predictions tf.Output, targets tf.Output, k int64) (precision tf.Output) + func InTopKV2(scope *Scope, predictions tf.Output, targets tf.Output, k tf.Output) (precision tf.Output) + func InfeedDequeue(scope *Scope, dtype tf.DataType, shape tf.Shape) (output tf.Output) + func InfeedDequeueTuple(scope *Scope, dtypes []tf.DataType, shapes []tf.Shape) (outputs []tf.Output) + func InfeedEnqueue(scope *Scope, input tf.Output, optional ...InfeedEnqueueAttr) (o *tf.Operation) + func InfeedEnqueuePrelinearizedBuffer(scope *Scope, input tf.Output, ...) (o *tf.Operation) + func InfeedEnqueueTuple(scope *Scope, inputs []tf.Output, shapes []tf.Shape, ...) (o *tf.Operation) + func InitializeTableFromTextFileV2(scope *Scope, table_handle tf.Output, filename tf.Output, key_index int64, ...) (o *tf.Operation) + func InitializeTableV2(scope *Scope, table_handle tf.Output, keys tf.Output, values tf.Output) (o *tf.Operation) + func InplaceAdd(scope *Scope, x tf.Output, i tf.Output, v tf.Output) (y tf.Output) + func InplaceSub(scope *Scope, x tf.Output, i tf.Output, v tf.Output) (y tf.Output) + func InplaceUpdate(scope *Scope, x tf.Output, i tf.Output, v tf.Output) (y tf.Output) + func Inv(scope *Scope, x tf.Output) (y tf.Output) + func InvGrad(scope *Scope, y tf.Output, dy tf.Output) (z tf.Output) + func Invert(scope *Scope, x tf.Output) (y tf.Output) + func InvertPermutation(scope *Scope, x tf.Output) (y tf.Output) + func IsBoostedTreesEnsembleInitialized(scope *Scope, tree_ensemble_handle tf.Output) (is_initialized tf.Output) + func IsBoostedTreesQuantileStreamResourceInitialized(scope *Scope, quantile_stream_resource_handle tf.Output) (is_initialized tf.Output) + func IsFinite(scope *Scope, x tf.Output) (y tf.Output) + func IsInf(scope *Scope, x tf.Output) (y tf.Output) + func IsNan(scope *Scope, x tf.Output) (y tf.Output) + func IsTPUEmbeddingInitialized(scope *Scope, optional ...IsTPUEmbeddingInitializedAttr) (is_tpu_embedding_initialized tf.Output) + func IsotonicRegression(scope *Scope, input tf.Output, optional ...IsotonicRegressionAttr) (output tf.Output, segments tf.Output) + func Iterator(scope *Scope, shared_name string, container string, output_types []tf.DataType, ...) (handle tf.Output) + func IteratorFromStringHandle(scope *Scope, string_handle tf.Output, ...) (resource_handle tf.Output) + func IteratorGetDevice(scope *Scope, resource tf.Output) (device tf.Output) + func IteratorGetNext(scope *Scope, iterator tf.Output, output_types []tf.DataType, ...) (components []tf.Output) + func IteratorGetNextAsOptional(scope *Scope, iterator tf.Output, output_types []tf.DataType, ...) (optional tf.Output) + func IteratorGetNextSync(scope *Scope, iterator tf.Output, output_types []tf.DataType, ...) (components []tf.Output) + func IteratorToStringHandle(scope *Scope, resource_handle tf.Output) (string_handle tf.Output) + func KMC2ChainInitialization(scope *Scope, distances tf.Output, seed tf.Output) (index tf.Output) + func KmeansPlusPlusInitialization(scope *Scope, points tf.Output, num_to_sample tf.Output, seed tf.Output, ...) (samples tf.Output) + func KthOrderStatistic(scope *Scope, input tf.Output, k int64) (output tf.Output) + func L2Loss(scope *Scope, t tf.Output) (output tf.Output) + func LMDBDataset(scope *Scope, filenames tf.Output, output_types []tf.DataType, ...) (handle tf.Output) + func LRN(scope *Scope, input tf.Output, optional ...LRNAttr) (output tf.Output) + func LRNGrad(scope *Scope, input_grads tf.Output, input_image tf.Output, ...) (output tf.Output) + func LSTMBlockCell(scope *Scope, x tf.Output, cs_prev tf.Output, h_prev tf.Output, w tf.Output, ...) (i tf.Output, cs tf.Output, f tf.Output, o tf.Output, ci tf.Output, ...) + func LSTMBlockCellGrad(scope *Scope, x tf.Output, cs_prev tf.Output, h_prev tf.Output, w tf.Output, ...) (cs_prev_grad tf.Output, dicfo tf.Output, wci_grad tf.Output, ...) + func LatencyStatsDataset(scope *Scope, input_dataset tf.Output, tag tf.Output, ...) (handle tf.Output) + func LeakyRelu(scope *Scope, features tf.Output, optional ...LeakyReluAttr) (activations tf.Output) + func LeakyReluGrad(scope *Scope, gradients tf.Output, features tf.Output, ...) (backprops tf.Output) + func LearnedUnigramCandidateSampler(scope *Scope, true_classes tf.Output, num_true int64, num_sampled int64, ...) (sampled_candidates tf.Output, true_expected_count tf.Output, ...) + func LeftShift(scope *Scope, x tf.Output, y tf.Output) (z tf.Output) + func Less(scope *Scope, x tf.Output, y tf.Output) (z tf.Output) + func LessEqual(scope *Scope, x tf.Output, y tf.Output) (z tf.Output) + func Lgamma(scope *Scope, x tf.Output) (y tf.Output) + func LinSpace(scope *Scope, start tf.Output, stop tf.Output, num tf.Output) (output tf.Output) + func ListDiff(scope *Scope, x tf.Output, y tf.Output, optional ...ListDiffAttr) (out tf.Output, idx tf.Output) + func LoadAndRemapMatrix(scope *Scope, ckpt_path tf.Output, old_tensor_name tf.Output, ...) (output_matrix tf.Output) + func LoadTPUEmbeddingADAMParameters(scope *Scope, parameters tf.Output, momenta tf.Output, velocities tf.Output, ...) (o *tf.Operation) + func LoadTPUEmbeddingAdadeltaParameters(scope *Scope, parameters tf.Output, accumulators tf.Output, updates tf.Output, ...) (o *tf.Operation) + func LoadTPUEmbeddingAdagradMomentumParameters(scope *Scope, parameters tf.Output, accumulators tf.Output, momenta tf.Output, ...) (o *tf.Operation) + func LoadTPUEmbeddingAdagradParameters(scope *Scope, parameters tf.Output, accumulators tf.Output, num_shards int64, ...) (o *tf.Operation) + func LoadTPUEmbeddingCenteredRMSPropParameters(scope *Scope, parameters tf.Output, ms tf.Output, mom tf.Output, mg tf.Output, ...) (o *tf.Operation) + func LoadTPUEmbeddingFTRLParameters(scope *Scope, parameters tf.Output, accumulators tf.Output, linears tf.Output, ...) (o *tf.Operation) + func LoadTPUEmbeddingFrequencyEstimatorParameters(scope *Scope, parameters tf.Output, last_hit_step tf.Output, num_shards int64, ...) (o *tf.Operation) + func LoadTPUEmbeddingMDLAdagradLightParameters(scope *Scope, parameters tf.Output, accumulators tf.Output, weights tf.Output, ...) (o *tf.Operation) + func LoadTPUEmbeddingMomentumParameters(scope *Scope, parameters tf.Output, momenta tf.Output, num_shards int64, ...) (o *tf.Operation) + func LoadTPUEmbeddingProximalAdagradParameters(scope *Scope, parameters tf.Output, accumulators tf.Output, num_shards int64, ...) (o *tf.Operation) + func LoadTPUEmbeddingRMSPropParameters(scope *Scope, parameters tf.Output, ms tf.Output, mom tf.Output, ...) (o *tf.Operation) + func LoadTPUEmbeddingStochasticGradientDescentParameters(scope *Scope, parameters tf.Output, num_shards int64, shard_id int64, ...) (o *tf.Operation) + func Log(scope *Scope, x tf.Output) (y tf.Output) + func Log1p(scope *Scope, x tf.Output) (y tf.Output) + func LogMatrixDeterminant(scope *Scope, input tf.Output) (sign tf.Output, log_abs_determinant tf.Output) + func LogSoftmax(scope *Scope, logits tf.Output) (logsoftmax tf.Output) + func LogUniformCandidateSampler(scope *Scope, true_classes tf.Output, num_true int64, num_sampled int64, ...) (sampled_candidates tf.Output, true_expected_count tf.Output, ...) + func LogicalAnd(scope *Scope, x tf.Output, y tf.Output) (z tf.Output) + func LogicalNot(scope *Scope, x tf.Output) (y tf.Output) + func LogicalOr(scope *Scope, x tf.Output, y tf.Output) (z tf.Output) + func LookupTableExportV2(scope *Scope, table_handle tf.Output, Tkeys tf.DataType, Tvalues tf.DataType) (keys tf.Output, values tf.Output) + func LookupTableFindV2(scope *Scope, table_handle tf.Output, keys tf.Output, default_value tf.Output) (values tf.Output) + func LookupTableImportV2(scope *Scope, table_handle tf.Output, keys tf.Output, values tf.Output) (o *tf.Operation) + func LookupTableInsertV2(scope *Scope, table_handle tf.Output, keys tf.Output, values tf.Output) (o *tf.Operation) + func LookupTableRemoveV2(scope *Scope, table_handle tf.Output, keys tf.Output) (o *tf.Operation) + func LookupTableSizeV2(scope *Scope, table_handle tf.Output) (size tf.Output) + func LoopCond(scope *Scope, input tf.Output) (output tf.Output) + func LowerBound(scope *Scope, sorted_inputs tf.Output, values tf.Output, ...) (output tf.Output) + func Lu(scope *Scope, input tf.Output, optional ...LuAttr) (lu tf.Output, p tf.Output) + func MakeIterator(scope *Scope, dataset tf.Output, iterator tf.Output) (o *tf.Operation) + func MakeUnique(scope *Scope, input tf.Output) (output tf.Output) + func MapClear(scope *Scope, dtypes []tf.DataType, optional ...MapClearAttr) (o *tf.Operation) + func MapIncompleteSize(scope *Scope, dtypes []tf.DataType, optional ...MapIncompleteSizeAttr) (size tf.Output) + func MapPeek(scope *Scope, key tf.Output, indices tf.Output, dtypes []tf.DataType, ...) (values []tf.Output) + func MapSize(scope *Scope, dtypes []tf.DataType, optional ...MapSizeAttr) (size tf.Output) + func MapStage(scope *Scope, key tf.Output, indices tf.Output, values []tf.Output, ...) (o *tf.Operation) + func MapUnstage(scope *Scope, key tf.Output, indices tf.Output, dtypes []tf.DataType, ...) (values []tf.Output) + func MapUnstageNoKey(scope *Scope, indices tf.Output, dtypes []tf.DataType, ...) (key tf.Output, values []tf.Output) + func MatMul(scope *Scope, a tf.Output, b tf.Output, optional ...MatMulAttr) (product tf.Output) + func MatchingFiles(scope *Scope, pattern tf.Output) (filenames tf.Output) + func MatrixBandPart(scope *Scope, input tf.Output, num_lower tf.Output, num_upper tf.Output) (band tf.Output) + func MatrixDeterminant(scope *Scope, input tf.Output) (output tf.Output) + func MatrixDiag(scope *Scope, diagonal tf.Output) (output tf.Output) + func MatrixDiagPart(scope *Scope, input tf.Output) (diagonal tf.Output) + func MatrixDiagPartV2(scope *Scope, input tf.Output, k tf.Output, padding_value tf.Output) (diagonal tf.Output) + func MatrixDiagPartV3(scope *Scope, input tf.Output, k tf.Output, padding_value tf.Output, ...) (diagonal tf.Output) + func MatrixDiagV2(scope *Scope, diagonal tf.Output, k tf.Output, num_rows tf.Output, ...) (output tf.Output) + func MatrixDiagV3(scope *Scope, diagonal tf.Output, k tf.Output, num_rows tf.Output, ...) (output tf.Output) + func MatrixExponential(scope *Scope, input tf.Output) (output tf.Output) + func MatrixInverse(scope *Scope, input tf.Output, optional ...MatrixInverseAttr) (output tf.Output) + func MatrixLogarithm(scope *Scope, input tf.Output) (output tf.Output) + func MatrixSetDiag(scope *Scope, input tf.Output, diagonal tf.Output) (output tf.Output) + func MatrixSetDiagV2(scope *Scope, input tf.Output, diagonal tf.Output, k tf.Output) (output tf.Output) + func MatrixSetDiagV3(scope *Scope, input tf.Output, diagonal tf.Output, k tf.Output, ...) (output tf.Output) + func MatrixSolve(scope *Scope, matrix tf.Output, rhs tf.Output, optional ...MatrixSolveAttr) (output tf.Output) + func MatrixSolveLs(scope *Scope, matrix tf.Output, rhs tf.Output, l2_regularizer tf.Output, ...) (output tf.Output) + func MatrixSquareRoot(scope *Scope, input tf.Output) (output tf.Output) + func MatrixTriangularSolve(scope *Scope, matrix tf.Output, rhs tf.Output, ...) (output tf.Output) + func Max(scope *Scope, input tf.Output, axis tf.Output, optional ...MaxAttr) (output tf.Output) + func MaxIntraOpParallelismDataset(scope *Scope, input_dataset tf.Output, max_intra_op_parallelism tf.Output, ...) (handle tf.Output) + func MaxPool(scope *Scope, input tf.Output, ksize []int64, strides []int64, padding string, ...) (output tf.Output) + func MaxPool3D(scope *Scope, input tf.Output, ksize []int64, strides []int64, padding string, ...) (output tf.Output) + func MaxPool3DGrad(scope *Scope, orig_input tf.Output, orig_output tf.Output, grad tf.Output, ...) (output tf.Output) + func MaxPool3DGradGrad(scope *Scope, orig_input tf.Output, orig_output tf.Output, grad tf.Output, ...) (output tf.Output) + func MaxPoolGrad(scope *Scope, orig_input tf.Output, orig_output tf.Output, grad tf.Output, ...) (output tf.Output) + func MaxPoolGradGrad(scope *Scope, orig_input tf.Output, orig_output tf.Output, grad tf.Output, ...) (output tf.Output) + func MaxPoolGradGradV2(scope *Scope, orig_input tf.Output, orig_output tf.Output, grad tf.Output, ...) (output tf.Output) + func MaxPoolGradGradWithArgmax(scope *Scope, input tf.Output, grad tf.Output, argmax tf.Output, ksize []int64, ...) (output tf.Output) + func MaxPoolGradV2(scope *Scope, orig_input tf.Output, orig_output tf.Output, grad tf.Output, ...) (output tf.Output) + func MaxPoolGradWithArgmax(scope *Scope, input tf.Output, grad tf.Output, argmax tf.Output, ksize []int64, ...) (output tf.Output) + func MaxPoolV2(scope *Scope, input tf.Output, ksize tf.Output, strides tf.Output, ...) (output tf.Output) + func MaxPoolWithArgmax(scope *Scope, input tf.Output, ksize []int64, strides []int64, padding string, ...) (output tf.Output, argmax tf.Output) + func Maximum(scope *Scope, x tf.Output, y tf.Output) (z tf.Output) + func Mean(scope *Scope, input tf.Output, axis tf.Output, optional ...MeanAttr) (output tf.Output) + func Merge(scope *Scope, inputs []tf.Output) (output tf.Output, value_index tf.Output) + func MergeSummary(scope *Scope, inputs []tf.Output) (summary tf.Output) + func MergeV2Checkpoints(scope *Scope, checkpoint_prefixes tf.Output, destination_prefix tf.Output, ...) (o *tf.Operation) + func Mfcc(scope *Scope, spectrogram tf.Output, sample_rate tf.Output, ...) (output tf.Output) + func Min(scope *Scope, input tf.Output, axis tf.Output, optional ...MinAttr) (output tf.Output) + func Minimum(scope *Scope, x tf.Output, y tf.Output) (z tf.Output) + func MirrorPad(scope *Scope, input tf.Output, paddings tf.Output, mode string) (output tf.Output) + func MirrorPadGrad(scope *Scope, input tf.Output, paddings tf.Output, mode string) (output tf.Output) + func MlirPassthroughOp(scope *Scope, inputs []tf.Output, mlir_module string, Toutputs []tf.DataType) (outputs []tf.Output) + func Mod(scope *Scope, x tf.Output, y tf.Output) (z tf.Output) + func ModelDataset(scope *Scope, input_dataset tf.Output, output_types []tf.DataType, ...) (handle tf.Output) + func Mul(scope *Scope, x tf.Output, y tf.Output) (z tf.Output) + func MulNoNan(scope *Scope, x tf.Output, y tf.Output) (z tf.Output) + func MultiDeviceIterator(scope *Scope, devices []string, shared_name string, container string, ...) (handle tf.Output) + func MultiDeviceIteratorFromStringHandle(scope *Scope, string_handle tf.Output, ...) (multi_device_iterator tf.Output) + func MultiDeviceIteratorGetNextFromShard(scope *Scope, multi_device_iterator tf.Output, shard_num tf.Output, ...) (components []tf.Output) + func MultiDeviceIteratorInit(scope *Scope, dataset tf.Output, multi_device_iterator tf.Output, ...) (incarnation_id tf.Output) + func MultiDeviceIteratorToStringHandle(scope *Scope, multi_device_iterator tf.Output) (string_handle tf.Output) + func Multinomial(scope *Scope, logits tf.Output, num_samples tf.Output, ...) (output tf.Output) + func MutableDenseHashTableV2(scope *Scope, empty_key tf.Output, deleted_key tf.Output, ...) (table_handle tf.Output) + func MutableHashTableOfTensorsV2(scope *Scope, key_dtype tf.DataType, value_dtype tf.DataType, ...) (table_handle tf.Output) + func MutableHashTableV2(scope *Scope, key_dtype tf.DataType, value_dtype tf.DataType, ...) (table_handle tf.Output) + func MutexLock(scope *Scope, mutex tf.Output) (mutex_lock tf.Output) + func MutexV2(scope *Scope, optional ...MutexV2Attr) (resource tf.Output) + func NcclAllReduce(scope *Scope, input tf.Output, reduction string, num_devices int64, ...) (data tf.Output) + func NcclBroadcast(scope *Scope, input tf.Output, shape tf.Shape) (output tf.Output) + func NcclReduce(scope *Scope, input []tf.Output, reduction string) (data tf.Output) + func NearestNeighbors(scope *Scope, points tf.Output, centers tf.Output, k tf.Output) (nearest_center_indices tf.Output, nearest_center_distances tf.Output) + func Neg(scope *Scope, x tf.Output) (y tf.Output) + func NextAfter(scope *Scope, x1 tf.Output, x2 tf.Output) (output tf.Output) + func NextIteration(scope *Scope, data tf.Output) (output tf.Output) + func NoOp(scope *Scope) (o *tf.Operation) + func NonDeterministicInts(scope *Scope, shape tf.Output, optional ...NonDeterministicIntsAttr) (output tf.Output) + func NonMaxSuppression(scope *Scope, boxes tf.Output, scores tf.Output, max_output_size tf.Output, ...) (selected_indices tf.Output) + func NonMaxSuppressionV2(scope *Scope, boxes tf.Output, scores tf.Output, max_output_size tf.Output, ...) (selected_indices tf.Output) + func NonMaxSuppressionV3(scope *Scope, boxes tf.Output, scores tf.Output, max_output_size tf.Output, ...) (selected_indices tf.Output) + func NonMaxSuppressionV4(scope *Scope, boxes tf.Output, scores tf.Output, max_output_size tf.Output, ...) (selected_indices tf.Output, valid_outputs tf.Output) + func NonMaxSuppressionV5(scope *Scope, boxes tf.Output, scores tf.Output, max_output_size tf.Output, ...) (selected_indices tf.Output, selected_scores tf.Output, valid_outputs tf.Output) + func NonMaxSuppressionWithOverlaps(scope *Scope, overlaps tf.Output, scores tf.Output, max_output_size tf.Output, ...) (selected_indices tf.Output) + func NotEqual(scope *Scope, x tf.Output, y tf.Output, optional ...NotEqualAttr) (z tf.Output) + func NthElement(scope *Scope, input tf.Output, n tf.Output, optional ...NthElementAttr) (values tf.Output) + func OneHot(scope *Scope, indices tf.Output, depth tf.Output, on_value tf.Output, ...) (output tf.Output) + func OnesLike(scope *Scope, x tf.Output) (y tf.Output) + func OptimizeDataset(scope *Scope, input_dataset tf.Output, optimizations tf.Output, ...) (handle tf.Output) + func OptimizeDatasetV2(scope *Scope, input_dataset tf.Output, optimizations_enabled tf.Output, ...) (handle tf.Output) + func OptionalFromValue(scope *Scope, components []tf.Output) (optional tf.Output) + func OptionalGetValue(scope *Scope, optional tf.Output, output_types []tf.DataType, ...) (components []tf.Output) + func OptionalHasValue(scope *Scope, optional tf.Output) (has_value tf.Output) + func OptionalNone(scope *Scope) (optional tf.Output) + func OptionsDataset(scope *Scope, input_dataset tf.Output, serialized_options string, ...) (handle tf.Output) + func OrderedMapClear(scope *Scope, dtypes []tf.DataType, optional ...OrderedMapClearAttr) (o *tf.Operation) + func OrderedMapIncompleteSize(scope *Scope, dtypes []tf.DataType, optional ...OrderedMapIncompleteSizeAttr) (size tf.Output) + func OrderedMapPeek(scope *Scope, key tf.Output, indices tf.Output, dtypes []tf.DataType, ...) (values []tf.Output) + func OrderedMapSize(scope *Scope, dtypes []tf.DataType, optional ...OrderedMapSizeAttr) (size tf.Output) + func OrderedMapStage(scope *Scope, key tf.Output, indices tf.Output, values []tf.Output, ...) (o *tf.Operation) + func OrderedMapUnstage(scope *Scope, key tf.Output, indices tf.Output, dtypes []tf.DataType, ...) (values []tf.Output) + func OrderedMapUnstageNoKey(scope *Scope, indices tf.Output, dtypes []tf.DataType, ...) (key tf.Output, values []tf.Output) + func OutfeedDequeue(scope *Scope, dtype tf.DataType, shape tf.Shape, ...) (output tf.Output) + func OutfeedDequeueTuple(scope *Scope, dtypes []tf.DataType, shapes []tf.Shape, ...) (outputs []tf.Output) + func OutfeedDequeueTupleV2(scope *Scope, device_ordinal tf.Output, dtypes []tf.DataType, ...) (outputs []tf.Output) + func OutfeedDequeueV2(scope *Scope, device_ordinal tf.Output, dtype tf.DataType, shape tf.Shape) (output tf.Output) + func OutfeedEnqueue(scope *Scope, input tf.Output) (o *tf.Operation) + func OutfeedEnqueueTuple(scope *Scope, inputs []tf.Output) (o *tf.Operation) + func Pack(scope *Scope, values []tf.Output, optional ...PackAttr) (output tf.Output) + func Pad(scope *Scope, input tf.Output, paddings tf.Output) (output tf.Output) + func PadV2(scope *Scope, input tf.Output, paddings tf.Output, constant_values tf.Output) (output tf.Output) + func PaddedBatchDataset(scope *Scope, input_dataset tf.Output, batch_size tf.Output, ...) (handle tf.Output) + func PaddedBatchDatasetV2(scope *Scope, input_dataset tf.Output, batch_size tf.Output, ...) (handle tf.Output) + func PaddingFIFOQueueV2(scope *Scope, component_types []tf.DataType, ...) (handle tf.Output) + func ParallelConcat(scope *Scope, values []tf.Output, shape tf.Shape) (output tf.Output) + func ParallelDynamicStitch(scope *Scope, indices []tf.Output, data []tf.Output) (merged tf.Output) + func ParameterizedTruncatedNormal(scope *Scope, shape tf.Output, means tf.Output, stdevs tf.Output, ...) (output tf.Output) + func ParseExample(scope *Scope, serialized tf.Output, names tf.Output, sparse_keys []tf.Output, ...) (sparse_indices []tf.Output, sparse_values []tf.Output, ...) + func ParseExampleDataset(scope *Scope, input_dataset tf.Output, num_parallel_calls tf.Output, ...) (handle tf.Output) + func ParseExampleDatasetV2(scope *Scope, input_dataset tf.Output, num_parallel_calls tf.Output, ...) (handle tf.Output) + func ParseExampleV2(scope *Scope, serialized tf.Output, names tf.Output, sparse_keys tf.Output, ...) (sparse_indices []tf.Output, sparse_values []tf.Output, ...) + func ParseSequenceExample(scope *Scope, serialized tf.Output, debug_name tf.Output, ...) (context_sparse_indices []tf.Output, context_sparse_values []tf.Output, ...) + func ParseSequenceExampleV2(scope *Scope, serialized tf.Output, debug_name tf.Output, ...) (context_sparse_indices []tf.Output, context_sparse_values []tf.Output, ...) + func ParseSingleExample(scope *Scope, serialized tf.Output, dense_defaults []tf.Output, ...) (sparse_indices []tf.Output, sparse_values []tf.Output, ...) + func ParseSingleSequenceExample(scope *Scope, serialized tf.Output, ...) (context_sparse_indices []tf.Output, context_sparse_values []tf.Output, ...) + func ParseTensor(scope *Scope, serialized tf.Output, out_type tf.DataType) (output tf.Output) + func Placeholder(scope *Scope, dtype tf.DataType, optional ...PlaceholderAttr) (output tf.Output) + func PlaceholderV2(scope *Scope, dtype tf.DataType, shape tf.Shape) (output tf.Output) + func PlaceholderWithDefault(scope *Scope, input tf.Output, shape tf.Shape) (output tf.Output) + func Polygamma(scope *Scope, a tf.Output, x tf.Output) (z tf.Output) + func PopulationCount(scope *Scope, x tf.Output) (y tf.Output) + func Pow(scope *Scope, x tf.Output, y tf.Output) (z tf.Output) + func PrefetchDataset(scope *Scope, input_dataset tf.Output, buffer_size tf.Output, ...) (handle tf.Output) + func Prelinearize(scope *Scope, input tf.Output, optional ...PrelinearizeAttr) (output tf.Output) + func PrelinearizeTuple(scope *Scope, inputs []tf.Output, shapes []tf.Shape, ...) (output tf.Output) + func PreventGradient(scope *Scope, input tf.Output, optional ...PreventGradientAttr) (output tf.Output) + func Print(scope *Scope, input tf.Output, data []tf.Output, optional ...PrintAttr) (output tf.Output) + func PrintV2(scope *Scope, input tf.Output, optional ...PrintV2Attr) (o *tf.Operation) + func PriorityQueueV2(scope *Scope, shapes []tf.Shape, optional ...PriorityQueueV2Attr) (handle tf.Output) + func PrivateThreadPoolDataset(scope *Scope, input_dataset tf.Output, num_threads tf.Output, ...) (handle tf.Output) + func Prod(scope *Scope, input tf.Output, axis tf.Output, optional ...ProdAttr) (output tf.Output) + func Qr(scope *Scope, input tf.Output, optional ...QrAttr) (q tf.Output, r tf.Output) + func QuantizeAndDequantize(scope *Scope, input tf.Output, optional ...QuantizeAndDequantizeAttr) (output tf.Output) + func QuantizeAndDequantizeV2(scope *Scope, input tf.Output, input_min tf.Output, input_max tf.Output, ...) (output tf.Output) + func QuantizeAndDequantizeV3(scope *Scope, input tf.Output, input_min tf.Output, input_max tf.Output, ...) (output tf.Output) + func QuantizeAndDequantizeV4(scope *Scope, input tf.Output, input_min tf.Output, input_max tf.Output, ...) (output tf.Output) + func QuantizeAndDequantizeV4Grad(scope *Scope, gradients tf.Output, input tf.Output, input_min tf.Output, ...) (input_backprop tf.Output, input_min_backprop tf.Output, ...) + func QuantizeDownAndShrinkRange(scope *Scope, input tf.Output, input_min tf.Output, input_max tf.Output, ...) (output tf.Output, output_min tf.Output, output_max tf.Output) + func QuantizeV2(scope *Scope, input tf.Output, min_range tf.Output, max_range tf.Output, ...) (output tf.Output, output_min tf.Output, output_max tf.Output) + func QuantizedAdd(scope *Scope, x tf.Output, y tf.Output, min_x tf.Output, max_x tf.Output, ...) (z tf.Output, min_z tf.Output, max_z tf.Output) + func QuantizedAvgPool(scope *Scope, input tf.Output, min_input tf.Output, max_input tf.Output, ...) (output tf.Output, min_output tf.Output, max_output tf.Output) + func QuantizedBatchNormWithGlobalNormalization(scope *Scope, t tf.Output, t_min tf.Output, t_max tf.Output, m tf.Output, ...) (result tf.Output, result_min tf.Output, result_max tf.Output) + func QuantizedBiasAdd(scope *Scope, input tf.Output, bias tf.Output, min_input tf.Output, ...) (output tf.Output, min_out tf.Output, max_out tf.Output) + func QuantizedConcat(scope *Scope, concat_dim tf.Output, values []tf.Output, input_mins []tf.Output, ...) (output tf.Output, output_min tf.Output, output_max tf.Output) + func QuantizedConv2D(scope *Scope, input tf.Output, filter tf.Output, min_input tf.Output, ...) (output tf.Output, min_output tf.Output, max_output tf.Output) + func QuantizedConv2DPerChannel(scope *Scope, input tf.Output, filter tf.Output, min_input tf.Output, ...) (output tf.Output, min_output tf.Output, max_output tf.Output) + func QuantizedDepthwiseConv2D(scope *Scope, input tf.Output, filter tf.Output, min_input tf.Output, ...) (output tf.Output, min_output tf.Output, max_output tf.Output) + func QuantizedDepthwiseConv2DWithBias(scope *Scope, input tf.Output, filter tf.Output, bias tf.Output, ...) (output tf.Output, min_output tf.Output, max_output tf.Output) + func QuantizedDepthwiseConv2DWithBiasAndRelu(scope *Scope, input tf.Output, filter tf.Output, bias tf.Output, ...) (output tf.Output, min_output tf.Output, max_output tf.Output) + func QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize(scope *Scope, input tf.Output, filter tf.Output, bias tf.Output, ...) (output tf.Output, min_output tf.Output, max_output tf.Output) + func QuantizedInstanceNorm(scope *Scope, x tf.Output, x_min tf.Output, x_max tf.Output, ...) (y tf.Output, y_min tf.Output, y_max tf.Output) + func QuantizedMatMul(scope *Scope, a tf.Output, b tf.Output, min_a tf.Output, max_a tf.Output, ...) (out tf.Output, min_out tf.Output, max_out tf.Output) + func QuantizedMatMulWithBias(scope *Scope, a tf.Output, b tf.Output, bias tf.Output, min_a tf.Output, ...) (out tf.Output, min_out tf.Output, max_out tf.Output) + func QuantizedMatMulWithBiasAndRelu(scope *Scope, a tf.Output, b tf.Output, bias tf.Output, min_a tf.Output, ...) (out tf.Output, min_out tf.Output, max_out tf.Output) + func QuantizedMatMulWithBiasAndReluAndRequantize(scope *Scope, a tf.Output, b tf.Output, bias tf.Output, min_a tf.Output, ...) (out tf.Output, min_out tf.Output, max_out tf.Output) + func QuantizedMaxPool(scope *Scope, input tf.Output, min_input tf.Output, max_input tf.Output, ...) (output tf.Output, min_output tf.Output, max_output tf.Output) + func QuantizedMul(scope *Scope, x tf.Output, y tf.Output, min_x tf.Output, max_x tf.Output, ...) (z tf.Output, min_z tf.Output, max_z tf.Output) + func QuantizedRelu(scope *Scope, features tf.Output, min_features tf.Output, ...) (activations tf.Output, min_activations tf.Output, max_activations tf.Output) + func QuantizedRelu6(scope *Scope, features tf.Output, min_features tf.Output, ...) (activations tf.Output, min_activations tf.Output, max_activations tf.Output) + func QuantizedReluX(scope *Scope, features tf.Output, max_value tf.Output, min_features tf.Output, ...) (activations tf.Output, min_activations tf.Output, max_activations tf.Output) + func QuantizedReshape(scope *Scope, tensor tf.Output, shape tf.Output, input_min tf.Output, ...) (output tf.Output, output_min tf.Output, output_max tf.Output) + func QuantizedResizeBilinear(scope *Scope, images tf.Output, size tf.Output, min tf.Output, max tf.Output, ...) (resized_images tf.Output, out_min tf.Output, out_max tf.Output) + func QueueCloseV2(scope *Scope, handle tf.Output, optional ...QueueCloseV2Attr) (o *tf.Operation) + func QueueDequeueManyV2(scope *Scope, handle tf.Output, n tf.Output, component_types []tf.DataType, ...) (components []tf.Output) + func QueueDequeueUpToV2(scope *Scope, handle tf.Output, n tf.Output, component_types []tf.DataType, ...) (components []tf.Output) + func QueueDequeueV2(scope *Scope, handle tf.Output, component_types []tf.DataType, ...) (components []tf.Output) + func QueueEnqueueManyV2(scope *Scope, handle tf.Output, components []tf.Output, ...) (o *tf.Operation) + func QueueEnqueueV2(scope *Scope, handle tf.Output, components []tf.Output, ...) (o *tf.Operation) + func QueueIsClosedV2(scope *Scope, handle tf.Output) (is_closed tf.Output) + func QueueSizeV2(scope *Scope, handle tf.Output) (size tf.Output) + func RFFT(scope *Scope, input tf.Output, fft_length tf.Output, optional ...RFFTAttr) (output tf.Output) + func RFFT2D(scope *Scope, input tf.Output, fft_length tf.Output, optional ...RFFT2DAttr) (output tf.Output) + func RFFT3D(scope *Scope, input tf.Output, fft_length tf.Output, optional ...RFFT3DAttr) (output tf.Output) + func RGBToHSV(scope *Scope, images tf.Output) (output tf.Output) + func RaggedBincount(scope *Scope, splits tf.Output, values tf.Output, size tf.Output, ...) (output tf.Output) + func RaggedCountSparseOutput(scope *Scope, splits tf.Output, values tf.Output, weights tf.Output, ...) (output_indices tf.Output, output_values tf.Output, ...) + func RaggedCross(scope *Scope, ragged_values []tf.Output, ragged_row_splits []tf.Output, ...) (output_values tf.Output, output_row_splits tf.Output) + func RaggedGather(scope *Scope, params_nested_splits []tf.Output, params_dense_values tf.Output, ...) (output_nested_splits []tf.Output, output_dense_values tf.Output) + func RaggedRange(scope *Scope, starts tf.Output, limits tf.Output, deltas tf.Output, ...) (rt_nested_splits tf.Output, rt_dense_values tf.Output) + func RaggedTensorFromVariant(scope *Scope, encoded_ragged tf.Output, input_ragged_rank int64, ...) (output_nested_splits []tf.Output, output_dense_values tf.Output) + func RaggedTensorToSparse(scope *Scope, rt_nested_splits []tf.Output, rt_dense_values tf.Output) (sparse_indices tf.Output, sparse_values tf.Output, ...) + func RaggedTensorToTensor(scope *Scope, shape tf.Output, values tf.Output, default_value tf.Output, ...) (result tf.Output) + func RaggedTensorToVariant(scope *Scope, rt_nested_splits []tf.Output, rt_dense_values tf.Output, ...) (encoded_ragged tf.Output) + func RaggedTensorToVariantGradient(scope *Scope, encoded_ragged_grad tf.Output, row_splits tf.Output, ...) (dense_values_grad tf.Output) + func RandomCrop(scope *Scope, image tf.Output, size tf.Output, optional ...RandomCropAttr) (output tf.Output) + func RandomDataset(scope *Scope, seed tf.Output, seed2 tf.Output, output_types []tf.DataType, ...) (handle tf.Output) + func RandomGamma(scope *Scope, shape tf.Output, alpha tf.Output, optional ...RandomGammaAttr) (output tf.Output) + func RandomGammaGrad(scope *Scope, alpha tf.Output, sample tf.Output) (output tf.Output) + func RandomPoisson(scope *Scope, shape tf.Output, rate tf.Output, optional ...RandomPoissonAttr) (output tf.Output) + func RandomPoissonV2(scope *Scope, shape tf.Output, rate tf.Output, optional ...RandomPoissonV2Attr) (output tf.Output) + func RandomShuffle(scope *Scope, value tf.Output, optional ...RandomShuffleAttr) (output tf.Output) + func RandomShuffleQueueV2(scope *Scope, component_types []tf.DataType, ...) (handle tf.Output) + func RandomStandardNormal(scope *Scope, shape tf.Output, dtype tf.DataType, ...) (output tf.Output) + func RandomUniform(scope *Scope, shape tf.Output, dtype tf.DataType, ...) (output tf.Output) + func RandomUniformInt(scope *Scope, shape tf.Output, minval tf.Output, maxval tf.Output, ...) (output tf.Output) + func Range(scope *Scope, start tf.Output, limit tf.Output, delta tf.Output) (output tf.Output) + func RangeDataset(scope *Scope, start tf.Output, stop tf.Output, step tf.Output, ...) (handle tf.Output) + func Rank(scope *Scope, input tf.Output) (output tf.Output) + func ReadFile(scope *Scope, filename tf.Output) (contents tf.Output) + func ReadVariableOp(scope *Scope, resource tf.Output, dtype tf.DataType) (value tf.Output) + func ReadVariableXlaSplitND(scope *Scope, resource tf.Output, T tf.DataType, N int64, num_splits []int64, ...) (outputs []tf.Output) + func ReaderNumRecordsProducedV2(scope *Scope, reader_handle tf.Output) (records_produced tf.Output) + func ReaderNumWorkUnitsCompletedV2(scope *Scope, reader_handle tf.Output) (units_completed tf.Output) + func ReaderReadUpToV2(scope *Scope, reader_handle tf.Output, queue_handle tf.Output, ...) (keys tf.Output, values tf.Output) + func ReaderReadV2(scope *Scope, reader_handle tf.Output, queue_handle tf.Output) (key tf.Output, value tf.Output) + func ReaderResetV2(scope *Scope, reader_handle tf.Output) (o *tf.Operation) + func ReaderRestoreStateV2(scope *Scope, reader_handle tf.Output, state tf.Output) (o *tf.Operation) + func ReaderSerializeStateV2(scope *Scope, reader_handle tf.Output) (state tf.Output) + func Real(scope *Scope, input tf.Output, optional ...RealAttr) (output tf.Output) + func RealDiv(scope *Scope, x tf.Output, y tf.Output) (z tf.Output) + func RebatchDataset(scope *Scope, input_dataset tf.Output, num_replicas tf.Output, ...) (handle tf.Output) + func RebatchDatasetV2(scope *Scope, input_dataset tf.Output, batch_sizes tf.Output, ...) (handle tf.Output) + func Reciprocal(scope *Scope, x tf.Output) (y tf.Output) + func ReciprocalGrad(scope *Scope, y tf.Output, dy tf.Output) (z tf.Output) + func RecordInput(scope *Scope, file_pattern string, optional ...RecordInputAttr) (records tf.Output) + func Recv(scope *Scope, tensor_type tf.DataType, tensor_name string, send_device string, ...) (tensor tf.Output) + func RecvTPUEmbeddingActivations(scope *Scope, num_outputs int64, config string) (outputs []tf.Output) + func ReduceJoin(scope *Scope, inputs tf.Output, reduction_indices tf.Output, ...) (output tf.Output) + func RegexFullMatch(scope *Scope, input tf.Output, pattern tf.Output) (output tf.Output) + func RegexReplace(scope *Scope, input tf.Output, pattern tf.Output, rewrite tf.Output, ...) (output tf.Output) + func RegisterDataset(scope *Scope, dataset tf.Output, address tf.Output, protocol tf.Output, ...) (dataset_id tf.Output) + func Relu(scope *Scope, features tf.Output) (activations tf.Output) + func Relu6(scope *Scope, features tf.Output) (activations tf.Output) + func Relu6Grad(scope *Scope, gradients tf.Output, features tf.Output) (backprops tf.Output) + func ReluGrad(scope *Scope, gradients tf.Output, features tf.Output) (backprops tf.Output) + func RepeatDataset(scope *Scope, input_dataset tf.Output, count tf.Output, ...) (handle tf.Output) + func RequantizationRange(scope *Scope, input tf.Output, input_min tf.Output, input_max tf.Output) (output_min tf.Output, output_max tf.Output) + func RequantizationRangePerChannel(scope *Scope, input tf.Output, input_min tf.Output, input_max tf.Output, ...) (output_min tf.Output, output_max tf.Output) + func Requantize(scope *Scope, input tf.Output, input_min tf.Output, input_max tf.Output, ...) (output tf.Output, output_min tf.Output, output_max tf.Output) + func RequantizePerChannel(scope *Scope, input tf.Output, input_min tf.Output, input_max tf.Output, ...) (output tf.Output, output_min tf.Output, output_max tf.Output) + func Reshape(scope *Scope, tensor tf.Output, shape tf.Output) (output tf.Output) + func ResizeArea(scope *Scope, images tf.Output, size tf.Output, optional ...ResizeAreaAttr) (resized_images tf.Output) + func ResizeBicubic(scope *Scope, images tf.Output, size tf.Output, optional ...ResizeBicubicAttr) (resized_images tf.Output) + func ResizeBicubicGrad(scope *Scope, grads tf.Output, original_image tf.Output, ...) (output tf.Output) + func ResizeBilinear(scope *Scope, images tf.Output, size tf.Output, optional ...ResizeBilinearAttr) (resized_images tf.Output) + func ResizeBilinearGrad(scope *Scope, grads tf.Output, original_image tf.Output, ...) (output tf.Output) + func ResizeNearestNeighbor(scope *Scope, images tf.Output, size tf.Output, ...) (resized_images tf.Output) + func ResizeNearestNeighborGrad(scope *Scope, grads tf.Output, size tf.Output, ...) (output tf.Output) + func ResourceAccumulatorApplyGradient(scope *Scope, handle tf.Output, local_step tf.Output, gradient tf.Output) (o *tf.Operation) + func ResourceAccumulatorNumAccumulated(scope *Scope, handle tf.Output) (num_accumulated tf.Output) + func ResourceAccumulatorSetGlobalStep(scope *Scope, handle tf.Output, new_global_step tf.Output) (o *tf.Operation) + func ResourceAccumulatorTakeGradient(scope *Scope, handle tf.Output, num_required tf.Output, dtype tf.DataType) (average tf.Output) + func ResourceApplyAdaMax(scope *Scope, var_ tf.Output, m tf.Output, v tf.Output, beta1_power tf.Output, ...) (o *tf.Operation) + func ResourceApplyAdadelta(scope *Scope, var_ tf.Output, accum tf.Output, accum_update tf.Output, ...) (o *tf.Operation) + func ResourceApplyAdagrad(scope *Scope, var_ tf.Output, accum tf.Output, lr tf.Output, grad tf.Output, ...) (o *tf.Operation) + func ResourceApplyAdagradDA(scope *Scope, var_ tf.Output, gradient_accumulator tf.Output, ...) (o *tf.Operation) + func ResourceApplyAdagradV2(scope *Scope, var_ tf.Output, accum tf.Output, lr tf.Output, epsilon tf.Output, ...) (o *tf.Operation) + func ResourceApplyAdam(scope *Scope, var_ tf.Output, m tf.Output, v tf.Output, beta1_power tf.Output, ...) (o *tf.Operation) + func ResourceApplyAdamWithAmsgrad(scope *Scope, var_ tf.Output, m tf.Output, v tf.Output, vhat tf.Output, ...) (o *tf.Operation) + func ResourceApplyAddSign(scope *Scope, var_ tf.Output, m tf.Output, lr tf.Output, alpha tf.Output, ...) (o *tf.Operation) + func ResourceApplyCenteredRMSProp(scope *Scope, var_ tf.Output, mg tf.Output, ms tf.Output, mom tf.Output, ...) (o *tf.Operation) + func ResourceApplyFtrl(scope *Scope, var_ tf.Output, accum tf.Output, linear tf.Output, ...) (o *tf.Operation) + func ResourceApplyFtrlV2(scope *Scope, var_ tf.Output, accum tf.Output, linear tf.Output, ...) (o *tf.Operation) + func ResourceApplyGradientDescent(scope *Scope, var_ tf.Output, alpha tf.Output, delta tf.Output, ...) (o *tf.Operation) + func ResourceApplyKerasMomentum(scope *Scope, var_ tf.Output, accum tf.Output, lr tf.Output, grad tf.Output, ...) (o *tf.Operation) + func ResourceApplyMomentum(scope *Scope, var_ tf.Output, accum tf.Output, lr tf.Output, grad tf.Output, ...) (o *tf.Operation) + func ResourceApplyPowerSign(scope *Scope, var_ tf.Output, m tf.Output, lr tf.Output, logbase tf.Output, ...) (o *tf.Operation) + func ResourceApplyProximalAdagrad(scope *Scope, var_ tf.Output, accum tf.Output, lr tf.Output, l1 tf.Output, ...) (o *tf.Operation) + func ResourceApplyProximalGradientDescent(scope *Scope, var_ tf.Output, alpha tf.Output, l1 tf.Output, l2 tf.Output, ...) (o *tf.Operation) + func ResourceApplyRMSProp(scope *Scope, var_ tf.Output, ms tf.Output, mom tf.Output, lr tf.Output, ...) (o *tf.Operation) + func ResourceConditionalAccumulator(scope *Scope, dtype tf.DataType, shape tf.Shape, ...) (handle tf.Output) + func ResourceCountUpTo(scope *Scope, resource tf.Output, limit int64, T tf.DataType) (output tf.Output) + func ResourceGather(scope *Scope, resource tf.Output, indices tf.Output, dtype tf.DataType, ...) (output tf.Output) + func ResourceScatterAdd(scope *Scope, resource tf.Output, indices tf.Output, updates tf.Output) (o *tf.Operation) + func ResourceScatterDiv(scope *Scope, resource tf.Output, indices tf.Output, updates tf.Output) (o *tf.Operation) + func ResourceScatterMax(scope *Scope, resource tf.Output, indices tf.Output, updates tf.Output) (o *tf.Operation) + func ResourceScatterMin(scope *Scope, resource tf.Output, indices tf.Output, updates tf.Output) (o *tf.Operation) + func ResourceScatterMul(scope *Scope, resource tf.Output, indices tf.Output, updates tf.Output) (o *tf.Operation) + func ResourceScatterNdAdd(scope *Scope, ref tf.Output, indices tf.Output, updates tf.Output, ...) (o *tf.Operation) + func ResourceScatterNdSub(scope *Scope, ref tf.Output, indices tf.Output, updates tf.Output, ...) (o *tf.Operation) + func ResourceScatterNdUpdate(scope *Scope, ref tf.Output, indices tf.Output, updates tf.Output, ...) (o *tf.Operation) + func ResourceScatterSub(scope *Scope, resource tf.Output, indices tf.Output, updates tf.Output) (o *tf.Operation) + func ResourceScatterUpdate(scope *Scope, resource tf.Output, indices tf.Output, updates tf.Output) (o *tf.Operation) + func ResourceSparseApplyAdadelta(scope *Scope, var_ tf.Output, accum tf.Output, accum_update tf.Output, ...) (o *tf.Operation) + func ResourceSparseApplyAdagrad(scope *Scope, var_ tf.Output, accum tf.Output, lr tf.Output, grad tf.Output, ...) (o *tf.Operation) + func ResourceSparseApplyAdagradDA(scope *Scope, var_ tf.Output, gradient_accumulator tf.Output, ...) (o *tf.Operation) + func ResourceSparseApplyAdagradV2(scope *Scope, var_ tf.Output, accum tf.Output, lr tf.Output, epsilon tf.Output, ...) (o *tf.Operation) + func ResourceSparseApplyCenteredRMSProp(scope *Scope, var_ tf.Output, mg tf.Output, ms tf.Output, mom tf.Output, ...) (o *tf.Operation) + func ResourceSparseApplyFtrl(scope *Scope, var_ tf.Output, accum tf.Output, linear tf.Output, ...) (o *tf.Operation) + func ResourceSparseApplyFtrlV2(scope *Scope, var_ tf.Output, accum tf.Output, linear tf.Output, ...) (o *tf.Operation) + func ResourceSparseApplyKerasMomentum(scope *Scope, var_ tf.Output, accum tf.Output, lr tf.Output, grad tf.Output, ...) (o *tf.Operation) + func ResourceSparseApplyMomentum(scope *Scope, var_ tf.Output, accum tf.Output, lr tf.Output, grad tf.Output, ...) (o *tf.Operation) + func ResourceSparseApplyProximalAdagrad(scope *Scope, var_ tf.Output, accum tf.Output, lr tf.Output, l1 tf.Output, ...) (o *tf.Operation) + func ResourceSparseApplyProximalGradientDescent(scope *Scope, var_ tf.Output, alpha tf.Output, l1 tf.Output, l2 tf.Output, ...) (o *tf.Operation) + func ResourceSparseApplyRMSProp(scope *Scope, var_ tf.Output, ms tf.Output, mom tf.Output, lr tf.Output, ...) (o *tf.Operation) + func ResourceStridedSliceAssign(scope *Scope, ref tf.Output, begin tf.Output, end tf.Output, strides tf.Output, ...) (o *tf.Operation) + func Restore(scope *Scope, file_pattern tf.Output, tensor_name tf.Output, dt tf.DataType, ...) (tensor tf.Output) + func RestoreSlice(scope *Scope, file_pattern tf.Output, tensor_name tf.Output, ...) (tensor tf.Output) + func RestoreV2(scope *Scope, prefix tf.Output, tensor_names tf.Output, ...) (tensors []tf.Output) + func RetrieveTPUEmbeddingADAMParameters(scope *Scope, num_shards int64, shard_id int64, ...) (parameters tf.Output, momenta tf.Output, velocities tf.Output) + func RetrieveTPUEmbeddingAdadeltaParameters(scope *Scope, num_shards int64, shard_id int64, ...) (parameters tf.Output, accumulators tf.Output, updates tf.Output) + func RetrieveTPUEmbeddingAdagradMomentumParameters(scope *Scope, num_shards int64, shard_id int64, ...) (parameters tf.Output, accumulators tf.Output, momenta tf.Output) + func RetrieveTPUEmbeddingAdagradParameters(scope *Scope, num_shards int64, shard_id int64, ...) (parameters tf.Output, accumulators tf.Output) + func RetrieveTPUEmbeddingCenteredRMSPropParameters(scope *Scope, num_shards int64, shard_id int64, ...) (parameters tf.Output, ms tf.Output, mom tf.Output, mg tf.Output) + func RetrieveTPUEmbeddingFTRLParameters(scope *Scope, num_shards int64, shard_id int64, ...) (parameters tf.Output, accumulators tf.Output, linears tf.Output) + func RetrieveTPUEmbeddingFrequencyEstimatorParameters(scope *Scope, num_shards int64, shard_id int64, ...) (parameters tf.Output, last_hit_step tf.Output) + func RetrieveTPUEmbeddingMDLAdagradLightParameters(scope *Scope, num_shards int64, shard_id int64, ...) (parameters tf.Output, accumulators tf.Output, weights tf.Output, ...) + func RetrieveTPUEmbeddingMomentumParameters(scope *Scope, num_shards int64, shard_id int64, ...) (parameters tf.Output, momenta tf.Output) + func RetrieveTPUEmbeddingProximalAdagradParameters(scope *Scope, num_shards int64, shard_id int64, ...) (parameters tf.Output, accumulators tf.Output) + func RetrieveTPUEmbeddingRMSPropParameters(scope *Scope, num_shards int64, shard_id int64, ...) (parameters tf.Output, ms tf.Output, mom tf.Output) + func RetrieveTPUEmbeddingStochasticGradientDescentParameters(scope *Scope, num_shards int64, shard_id int64, ...) (parameters tf.Output) + func Reverse(scope *Scope, tensor tf.Output, dims tf.Output) (output tf.Output) + func ReverseSequence(scope *Scope, input tf.Output, seq_lengths tf.Output, seq_dim int64, ...) (output tf.Output) + func ReverseV2(scope *Scope, tensor tf.Output, axis tf.Output) (output tf.Output) + func RightShift(scope *Scope, x tf.Output, y tf.Output) (z tf.Output) + func Rint(scope *Scope, x tf.Output) (y tf.Output) + func RiscAdd(scope *Scope, x tf.Output, y tf.Output) (z tf.Output) + func RiscMax(scope *Scope, x tf.Output, y tf.Output) (max tf.Output) + func RngReadAndSkip(scope *Scope, resource tf.Output, alg tf.Output, delta tf.Output) (value tf.Output) + func RngSkip(scope *Scope, resource tf.Output, algorithm tf.Output, delta tf.Output) (o *tf.Operation) + func Roll(scope *Scope, input tf.Output, shift tf.Output, axis tf.Output) (output tf.Output) + func Round(scope *Scope, x tf.Output) (y tf.Output) + func Rsqrt(scope *Scope, x tf.Output) (y tf.Output) + func RsqrtGrad(scope *Scope, y tf.Output, dy tf.Output) (z tf.Output) + func SampleDistortedBoundingBox(scope *Scope, image_size tf.Output, bounding_boxes tf.Output, ...) (begin tf.Output, size tf.Output, bboxes tf.Output) + func SampleDistortedBoundingBoxV2(scope *Scope, image_size tf.Output, bounding_boxes tf.Output, ...) (begin tf.Output, size tf.Output, bboxes tf.Output) + func SamplingDataset(scope *Scope, input_dataset tf.Output, rate tf.Output, seed tf.Output, ...) (handle tf.Output) + func Save(scope *Scope, filename tf.Output, tensor_names tf.Output, data []tf.Output) (o *tf.Operation) + func SaveSlices(scope *Scope, filename tf.Output, tensor_names tf.Output, ...) (o *tf.Operation) + func SaveV2(scope *Scope, prefix tf.Output, tensor_names tf.Output, ...) (o *tf.Operation) + func ScalarSummary(scope *Scope, tags tf.Output, values tf.Output) (summary tf.Output) + func ScatterNd(scope *Scope, indices tf.Output, updates tf.Output, shape tf.Output) (output tf.Output) + func ScatterNdNonAliasingAdd(scope *Scope, input tf.Output, indices tf.Output, updates tf.Output) (output tf.Output) + func SdcaFprint(scope *Scope, input tf.Output) (output tf.Output) + func SdcaOptimizer(scope *Scope, sparse_example_indices []tf.Output, ...) (out_example_state_data tf.Output, out_delta_sparse_weights []tf.Output, ...) + func SdcaOptimizerV2(scope *Scope, sparse_example_indices []tf.Output, ...) (out_example_state_data tf.Output, out_delta_sparse_weights []tf.Output, ...) + func SegmentMax(scope *Scope, data tf.Output, segment_ids tf.Output) (output tf.Output) + func SegmentMean(scope *Scope, data tf.Output, segment_ids tf.Output) (output tf.Output) + func SegmentMin(scope *Scope, data tf.Output, segment_ids tf.Output) (output tf.Output) + func SegmentProd(scope *Scope, data tf.Output, segment_ids tf.Output) (output tf.Output) + func SegmentSum(scope *Scope, data tf.Output, segment_ids tf.Output) (output tf.Output) + func Select(scope *Scope, condition tf.Output, x tf.Output, y tf.Output) (output tf.Output) + func SelfAdjointEig(scope *Scope, input tf.Output) (output tf.Output) + func SelfAdjointEigV2(scope *Scope, input tf.Output, optional ...SelfAdjointEigV2Attr) (e tf.Output, v tf.Output) + func Selu(scope *Scope, features tf.Output) (activations tf.Output) + func SeluGrad(scope *Scope, gradients tf.Output, outputs tf.Output) (backprops tf.Output) + func Send(scope *Scope, tensor tf.Output, tensor_name string, send_device string, ...) (o *tf.Operation) + func SendTPUEmbeddingGradients(scope *Scope, inputs []tf.Output, learning_rates []tf.Output, config string) (o *tf.Operation) + func SerializeIterator(scope *Scope, resource_handle tf.Output, optional ...SerializeIteratorAttr) (serialized tf.Output) + func SerializeManySparse(scope *Scope, sparse_indices tf.Output, sparse_values tf.Output, ...) (serialized_sparse tf.Output) + func SerializeSparse(scope *Scope, sparse_indices tf.Output, sparse_values tf.Output, ...) (serialized_sparse tf.Output) + func SerializeTensor(scope *Scope, tensor tf.Output) (serialized tf.Output) + func SetSize(scope *Scope, set_indices tf.Output, set_values tf.Output, set_shape tf.Output, ...) (size tf.Output) + func Shape(scope *Scope, input tf.Output, optional ...ShapeAttr) (output tf.Output) + func ShapeN(scope *Scope, input []tf.Output, optional ...ShapeNAttr) (output []tf.Output) + func ShardDataset(scope *Scope, input_dataset tf.Output, num_shards tf.Output, index tf.Output, ...) (handle tf.Output) + func ShardedFilename(scope *Scope, basename tf.Output, shard tf.Output, num_shards tf.Output) (filename tf.Output) + func ShardedFilespec(scope *Scope, basename tf.Output, num_shards tf.Output) (filename tf.Output) + func ShuffleAndRepeatDataset(scope *Scope, input_dataset tf.Output, buffer_size tf.Output, seed tf.Output, ...) (handle tf.Output) + func ShuffleDataset(scope *Scope, input_dataset tf.Output, buffer_size tf.Output, seed tf.Output, ...) (handle tf.Output) + func ShutdownDistributedTPU(scope *Scope) (o *tf.Operation) + func Sigmoid(scope *Scope, x tf.Output) (y tf.Output) + func SigmoidGrad(scope *Scope, y tf.Output, dy tf.Output) (z tf.Output) + func Sign(scope *Scope, x tf.Output) (y tf.Output) + func Sin(scope *Scope, x tf.Output) (y tf.Output) + func Sinh(scope *Scope, x tf.Output) (y tf.Output) + func Size(scope *Scope, input tf.Output, optional ...SizeAttr) (output tf.Output) + func SkipDataset(scope *Scope, input_dataset tf.Output, count tf.Output, ...) (handle tf.Output) + func Skipgram(scope *Scope, filename string, batch_size int64, optional ...SkipgramAttr) (vocab_word tf.Output, vocab_freq tf.Output, words_per_epoch tf.Output, ...) + func Slice(scope *Scope, input tf.Output, begin tf.Output, size tf.Output) (output tf.Output) + func SlidingWindowDataset(scope *Scope, input_dataset tf.Output, window_size tf.Output, ...) (handle tf.Output) + func Snapshot(scope *Scope, input tf.Output) (output tf.Output) + func SnapshotDataset(scope *Scope, input_dataset tf.Output, path tf.Output, ...) (handle tf.Output) + func SobolSample(scope *Scope, dim tf.Output, num_results tf.Output, skip tf.Output, ...) (samples tf.Output) + func Softmax(scope *Scope, logits tf.Output) (softmax tf.Output) + func SoftmaxCrossEntropyWithLogits(scope *Scope, features tf.Output, labels tf.Output) (loss tf.Output, backprop tf.Output) + func SoftplusGrad(scope *Scope, gradients tf.Output, features tf.Output) (backprops tf.Output) + func Softsign(scope *Scope, features tf.Output) (activations tf.Output) + func SoftsignGrad(scope *Scope, gradients tf.Output, features tf.Output) (backprops tf.Output) + func SpaceToBatch(scope *Scope, input tf.Output, paddings tf.Output, block_size int64) (output tf.Output) + func SpaceToBatchND(scope *Scope, input tf.Output, block_shape tf.Output, paddings tf.Output) (output tf.Output) + func SpaceToDepth(scope *Scope, input tf.Output, block_size int64, optional ...SpaceToDepthAttr) (output tf.Output) + func SparseAdd(scope *Scope, a_indices tf.Output, a_values tf.Output, a_shape tf.Output, ...) (sum_indices tf.Output, sum_values tf.Output, sum_shape tf.Output) + func SparseAddGrad(scope *Scope, backprop_val_grad tf.Output, a_indices tf.Output, ...) (a_val_grad tf.Output, b_val_grad tf.Output) + func SparseBincount(scope *Scope, indices tf.Output, values tf.Output, dense_shape tf.Output, ...) (output tf.Output) + func SparseConcat(scope *Scope, indices []tf.Output, values []tf.Output, shapes []tf.Output, ...) (output_indices tf.Output, output_values tf.Output, output_shape tf.Output) + func SparseCountSparseOutput(scope *Scope, indices tf.Output, values tf.Output, dense_shape tf.Output, ...) (output_indices tf.Output, output_values tf.Output, ...) + func SparseCross(scope *Scope, indices []tf.Output, values []tf.Output, shapes []tf.Output, ...) (output_indices tf.Output, output_values tf.Output, output_shape tf.Output) + func SparseCrossHashed(scope *Scope, indices []tf.Output, values []tf.Output, shapes []tf.Output, ...) (output_indices tf.Output, output_values tf.Output, output_shape tf.Output) + func SparseCrossV2(scope *Scope, indices []tf.Output, values []tf.Output, shapes []tf.Output, ...) (output_indices tf.Output, output_values tf.Output, output_shape tf.Output) + func SparseDenseCwiseAdd(scope *Scope, sp_indices tf.Output, sp_values tf.Output, sp_shape tf.Output, ...) (output tf.Output) + func SparseDenseCwiseDiv(scope *Scope, sp_indices tf.Output, sp_values tf.Output, sp_shape tf.Output, ...) (output tf.Output) + func SparseDenseCwiseMul(scope *Scope, sp_indices tf.Output, sp_values tf.Output, sp_shape tf.Output, ...) (output tf.Output) + func SparseFillEmptyRows(scope *Scope, indices tf.Output, values tf.Output, dense_shape tf.Output, ...) (output_indices tf.Output, output_values tf.Output, ...) + func SparseFillEmptyRowsGrad(scope *Scope, reverse_index_map tf.Output, grad_values tf.Output) (d_values tf.Output, d_default_value tf.Output) + func SparseMatMul(scope *Scope, a tf.Output, b tf.Output, optional ...SparseMatMulAttr) (product tf.Output) + func SparseMatrixAdd(scope *Scope, a tf.Output, b tf.Output, alpha tf.Output, beta tf.Output) (c tf.Output) + func SparseMatrixMatMul(scope *Scope, a tf.Output, b tf.Output, optional ...SparseMatrixMatMulAttr) (output tf.Output) + func SparseMatrixMul(scope *Scope, a tf.Output, b tf.Output) (output tf.Output) + func SparseMatrixNNZ(scope *Scope, sparse_matrix tf.Output) (nnz tf.Output) + func SparseMatrixOrderingAMD(scope *Scope, input tf.Output) (output tf.Output) + func SparseMatrixSoftmax(scope *Scope, logits tf.Output, type_ tf.DataType) (softmax tf.Output) + func SparseMatrixSoftmaxGrad(scope *Scope, softmax tf.Output, grad_softmax tf.Output, type_ tf.DataType) (gradient tf.Output) + func SparseMatrixSparseCholesky(scope *Scope, input tf.Output, permutation tf.Output, type_ tf.DataType) (output tf.Output) + func SparseMatrixSparseMatMul(scope *Scope, a tf.Output, b tf.Output, type_ tf.DataType, ...) (c tf.Output) + func SparseMatrixTranspose(scope *Scope, input tf.Output, type_ tf.DataType, ...) (output tf.Output) + func SparseMatrixZeros(scope *Scope, dense_shape tf.Output, type_ tf.DataType) (sparse_matrix tf.Output) + func SparseReduceMax(scope *Scope, input_indices tf.Output, input_values tf.Output, ...) (output tf.Output) + func SparseReduceMaxSparse(scope *Scope, input_indices tf.Output, input_values tf.Output, ...) (output_indices tf.Output, output_values tf.Output, output_shape tf.Output) + func SparseReduceSum(scope *Scope, input_indices tf.Output, input_values tf.Output, ...) (output tf.Output) + func SparseReduceSumSparse(scope *Scope, input_indices tf.Output, input_values tf.Output, ...) (output_indices tf.Output, output_values tf.Output, output_shape tf.Output) + func SparseReorder(scope *Scope, input_indices tf.Output, input_values tf.Output, ...) (output_indices tf.Output, output_values tf.Output) + func SparseReshape(scope *Scope, input_indices tf.Output, input_shape tf.Output, ...) (output_indices tf.Output, output_shape tf.Output) + func SparseSegmentMean(scope *Scope, data tf.Output, indices tf.Output, segment_ids tf.Output) (output tf.Output) + func SparseSegmentMeanGrad(scope *Scope, grad tf.Output, indices tf.Output, segment_ids tf.Output, ...) (output tf.Output) + func SparseSegmentMeanWithNumSegments(scope *Scope, data tf.Output, indices tf.Output, segment_ids tf.Output, ...) (output tf.Output) + func SparseSegmentSqrtN(scope *Scope, data tf.Output, indices tf.Output, segment_ids tf.Output) (output tf.Output) + func SparseSegmentSqrtNGrad(scope *Scope, grad tf.Output, indices tf.Output, segment_ids tf.Output, ...) (output tf.Output) + func SparseSegmentSqrtNWithNumSegments(scope *Scope, data tf.Output, indices tf.Output, segment_ids tf.Output, ...) (output tf.Output) + func SparseSegmentSum(scope *Scope, data tf.Output, indices tf.Output, segment_ids tf.Output) (output tf.Output) + func SparseSegmentSumGrad(scope *Scope, grad tf.Output, indices tf.Output, segment_ids tf.Output, ...) (output tf.Output) + func SparseSegmentSumWithNumSegments(scope *Scope, data tf.Output, indices tf.Output, segment_ids tf.Output, ...) (output tf.Output) + func SparseSlice(scope *Scope, indices tf.Output, values tf.Output, shape tf.Output, ...) (output_indices tf.Output, output_values tf.Output, output_shape tf.Output) + func SparseSliceGrad(scope *Scope, backprop_val_grad tf.Output, input_indices tf.Output, ...) (val_grad tf.Output) + func SparseSoftmax(scope *Scope, sp_indices tf.Output, sp_values tf.Output, sp_shape tf.Output) (output tf.Output) + func SparseSoftmaxCrossEntropyWithLogits(scope *Scope, features tf.Output, labels tf.Output) (loss tf.Output, backprop tf.Output) + func SparseSparseMaximum(scope *Scope, a_indices tf.Output, a_values tf.Output, a_shape tf.Output, ...) (output_indices tf.Output, output_values tf.Output) + func SparseSparseMinimum(scope *Scope, a_indices tf.Output, a_values tf.Output, a_shape tf.Output, ...) (output_indices tf.Output, output_values tf.Output) + func SparseSplit(scope *Scope, split_dim tf.Output, indices tf.Output, values tf.Output, ...) (output_indices []tf.Output, output_values []tf.Output, ...) + func SparseTensorDenseAdd(scope *Scope, a_indices tf.Output, a_values tf.Output, a_shape tf.Output, ...) (output tf.Output) + func SparseTensorDenseMatMul(scope *Scope, a_indices tf.Output, a_values tf.Output, a_shape tf.Output, ...) (product tf.Output) + func SparseTensorSliceDataset(scope *Scope, indices tf.Output, values tf.Output, dense_shape tf.Output) (handle tf.Output) + func SparseTensorToCSRSparseMatrix(scope *Scope, indices tf.Output, values tf.Output, dense_shape tf.Output) (sparse_matrix tf.Output) + func SparseToDense(scope *Scope, sparse_indices tf.Output, output_shape tf.Output, ...) (dense tf.Output) + func SparseToSparseSetOperation(scope *Scope, set1_indices tf.Output, set1_values tf.Output, ...) (result_indices tf.Output, result_values tf.Output, result_shape tf.Output) + func Split(scope *Scope, axis tf.Output, value tf.Output, num_split int64) (output []tf.Output) + func SplitV(scope *Scope, value tf.Output, size_splits tf.Output, axis tf.Output, ...) (output []tf.Output) + func SqlDataset(scope *Scope, driver_name tf.Output, data_source_name tf.Output, ...) (handle tf.Output) + func Sqrt(scope *Scope, x tf.Output) (y tf.Output) + func SqrtGrad(scope *Scope, y tf.Output, dy tf.Output) (z tf.Output) + func Square(scope *Scope, x tf.Output) (y tf.Output) + func SquaredDifference(scope *Scope, x tf.Output, y tf.Output) (z tf.Output) + func Squeeze(scope *Scope, input tf.Output, optional ...SqueezeAttr) (output tf.Output) + func StackCloseV2(scope *Scope, handle tf.Output) (o *tf.Operation) + func StackPopV2(scope *Scope, handle tf.Output, elem_type tf.DataType) (elem tf.Output) + func StackPushV2(scope *Scope, handle tf.Output, elem tf.Output, optional ...StackPushV2Attr) (output tf.Output) + func StackV2(scope *Scope, max_size tf.Output, elem_type tf.DataType, ...) (handle tf.Output) + func Stage(scope *Scope, values []tf.Output, optional ...StageAttr) (o *tf.Operation) + func StageClear(scope *Scope, dtypes []tf.DataType, optional ...StageClearAttr) (o *tf.Operation) + func StagePeek(scope *Scope, index tf.Output, dtypes []tf.DataType, optional ...StagePeekAttr) (values []tf.Output) + func StageSize(scope *Scope, dtypes []tf.DataType, optional ...StageSizeAttr) (size tf.Output) + func StatefulStandardNormal(scope *Scope, resource tf.Output, shape tf.Output, ...) (output tf.Output) + func StatefulStandardNormalV2(scope *Scope, resource tf.Output, algorithm tf.Output, shape tf.Output, ...) (output tf.Output) + func StatefulTruncatedNormal(scope *Scope, resource tf.Output, algorithm tf.Output, shape tf.Output, ...) (output tf.Output) + func StatefulUniform(scope *Scope, resource tf.Output, algorithm tf.Output, shape tf.Output, ...) (output tf.Output) + func StatefulUniformFullInt(scope *Scope, resource tf.Output, algorithm tf.Output, shape tf.Output, ...) (output tf.Output) + func StatefulUniformInt(scope *Scope, resource tf.Output, algorithm tf.Output, shape tf.Output, ...) (output tf.Output) + func StatelessMultinomial(scope *Scope, logits tf.Output, num_samples tf.Output, seed tf.Output, ...) (output tf.Output) + func StatelessRandomBinomial(scope *Scope, shape tf.Output, seed tf.Output, counts tf.Output, ...) (output tf.Output) + func StatelessRandomGammaV2(scope *Scope, shape tf.Output, seed tf.Output, alpha tf.Output) (output tf.Output) + func StatelessRandomGetAlg(scope *Scope) (alg tf.Output) + func StatelessRandomGetKeyCounter(scope *Scope, seed tf.Output) (key tf.Output, counter tf.Output) + func StatelessRandomGetKeyCounterAlg(scope *Scope, seed tf.Output) (key tf.Output, counter tf.Output, alg tf.Output) + func StatelessRandomNormal(scope *Scope, shape tf.Output, seed tf.Output, ...) (output tf.Output) + func StatelessRandomNormalV2(scope *Scope, shape tf.Output, key tf.Output, counter tf.Output, alg tf.Output, ...) (output tf.Output) + func StatelessRandomPoisson(scope *Scope, shape tf.Output, seed tf.Output, lam tf.Output, ...) (output tf.Output) + func StatelessRandomUniform(scope *Scope, shape tf.Output, seed tf.Output, ...) (output tf.Output) + func StatelessRandomUniformFullInt(scope *Scope, shape tf.Output, seed tf.Output, ...) (output tf.Output) + func StatelessRandomUniformFullIntV2(scope *Scope, shape tf.Output, key tf.Output, counter tf.Output, alg tf.Output, ...) (output tf.Output) + func StatelessRandomUniformInt(scope *Scope, shape tf.Output, seed tf.Output, minval tf.Output, ...) (output tf.Output) + func StatelessRandomUniformIntV2(scope *Scope, shape tf.Output, key tf.Output, counter tf.Output, alg tf.Output, ...) (output tf.Output) + func StatelessRandomUniformV2(scope *Scope, shape tf.Output, key tf.Output, counter tf.Output, alg tf.Output, ...) (output tf.Output) + func StatelessSampleDistortedBoundingBox(scope *Scope, image_size tf.Output, bounding_boxes tf.Output, ...) (begin tf.Output, size tf.Output, bboxes tf.Output) + func StatelessTruncatedNormal(scope *Scope, shape tf.Output, seed tf.Output, ...) (output tf.Output) + func StatelessTruncatedNormalV2(scope *Scope, shape tf.Output, key tf.Output, counter tf.Output, alg tf.Output, ...) (output tf.Output) + func StaticRegexFullMatch(scope *Scope, input tf.Output, pattern string) (output tf.Output) + func StaticRegexReplace(scope *Scope, input tf.Output, pattern string, rewrite string, ...) (output tf.Output) + func StatsAggregatorHandle(scope *Scope, optional ...StatsAggregatorHandleAttr) (handle tf.Output) + func StatsAggregatorSetSummaryWriter(scope *Scope, stats_aggregator tf.Output, summary tf.Output) (o *tf.Operation) + func StatsAggregatorSummary(scope *Scope, iterator tf.Output) (summary tf.Output) + func StopGradient(scope *Scope, input tf.Output) (output tf.Output) + func StridedSlice(scope *Scope, input tf.Output, begin tf.Output, end tf.Output, ...) (output tf.Output) + func StridedSliceGrad(scope *Scope, shape tf.Output, begin tf.Output, end tf.Output, ...) (output tf.Output) + func StringFormat(scope *Scope, inputs []tf.Output, optional ...StringFormatAttr) (output tf.Output) + func StringJoin(scope *Scope, inputs []tf.Output, optional ...StringJoinAttr) (output tf.Output) + func StringLength(scope *Scope, input tf.Output, optional ...StringLengthAttr) (output tf.Output) + func StringLower(scope *Scope, input tf.Output, optional ...StringLowerAttr) (output tf.Output) + func StringNGrams(scope *Scope, data tf.Output, data_splits tf.Output, separator string, ...) (ngrams tf.Output, ngrams_splits tf.Output) + func StringSplit(scope *Scope, input tf.Output, delimiter tf.Output, ...) (indices tf.Output, values tf.Output, shape tf.Output) + func StringSplitV2(scope *Scope, input tf.Output, sep tf.Output, optional ...StringSplitV2Attr) (indices tf.Output, values tf.Output, shape tf.Output) + func StringStrip(scope *Scope, input tf.Output) (output tf.Output) + func StringToHashBucket(scope *Scope, string_tensor tf.Output, num_buckets int64) (output tf.Output) + func StringToHashBucketFast(scope *Scope, input tf.Output, num_buckets int64) (output tf.Output) + func StringToHashBucketStrong(scope *Scope, input tf.Output, num_buckets int64, key []int64) (output tf.Output) + func StringToNumber(scope *Scope, string_tensor tf.Output, optional ...StringToNumberAttr) (output tf.Output) + func StringUpper(scope *Scope, input tf.Output, optional ...StringUpperAttr) (output tf.Output) + func Sub(scope *Scope, x tf.Output, y tf.Output) (z tf.Output) + func Substr(scope *Scope, input tf.Output, pos tf.Output, len tf.Output, ...) (output tf.Output) + func Sum(scope *Scope, input tf.Output, axis tf.Output, optional ...SumAttr) (output tf.Output) + func Svd(scope *Scope, input tf.Output, optional ...SvdAttr) (s tf.Output, u tf.Output, v tf.Output) + func Switch(scope *Scope, data tf.Output, pred tf.Output) (output_false tf.Output, output_true tf.Output) + func TFRecordDataset(scope *Scope, filenames tf.Output, compression_type tf.Output, ...) (handle tf.Output) + func TFRecordReaderV2(scope *Scope, optional ...TFRecordReaderV2Attr) (reader_handle tf.Output) + func TPUCompilationResult(scope *Scope) (output tf.Output) + func TPUCompileSucceededAssert(scope *Scope, compilation_status tf.Output) (o *tf.Operation) + func TPUEmbeddingActivations(scope *Scope, embedding_variable tf.Output, sliced_activations tf.Output, ...) (output tf.Output) + func TPUExecute(scope *Scope, args []tf.Output, key tf.Output, Tresults []tf.DataType) (results []tf.Output) + func TPUExecuteAndUpdateVariables(scope *Scope, args []tf.Output, key tf.Output, Tresults []tf.DataType, ...) (results []tf.Output) + func TPUOrdinalSelector(scope *Scope) (device_ordinals tf.Output) + func TPUPartitionedInput(scope *Scope, inputs []tf.Output, optional ...TPUPartitionedInputAttr) (output tf.Output) + func TPUPartitionedOutput(scope *Scope, inputs tf.Output, num_splits int64, ...) (output []tf.Output) + func TPUReplicateMetadata(scope *Scope, num_replicas int64, optional ...TPUReplicateMetadataAttr) (o *tf.Operation) + func TPUReplicatedInput(scope *Scope, inputs []tf.Output, optional ...TPUReplicatedInputAttr) (output tf.Output) + func TPUReplicatedOutput(scope *Scope, input tf.Output, num_replicas int64) (outputs []tf.Output) + func TPUReshardVariables(scope *Scope, vars []tf.Output, new_format_key tf.Output, ...) (o *tf.Operation) + func TakeDataset(scope *Scope, input_dataset tf.Output, count tf.Output, ...) (handle tf.Output) + func TakeManySparseFromTensorsMap(scope *Scope, sparse_handles tf.Output, dtype tf.DataType, ...) (sparse_indices tf.Output, sparse_values tf.Output, sparse_shape tf.Output) + func Tan(scope *Scope, x tf.Output) (y tf.Output) + func Tanh(scope *Scope, x tf.Output) (y tf.Output) + func TanhGrad(scope *Scope, y tf.Output, dy tf.Output) (z tf.Output) + func TensorArrayCloseV2(scope *Scope, handle tf.Output) (o *tf.Operation) + func TensorArrayCloseV3(scope *Scope, handle tf.Output) (o *tf.Operation) + func TensorArrayConcatV2(scope *Scope, handle tf.Output, flow_in tf.Output, dtype tf.DataType, ...) (value tf.Output, lengths tf.Output) + func TensorArrayConcatV3(scope *Scope, handle tf.Output, flow_in tf.Output, dtype tf.DataType, ...) (value tf.Output, lengths tf.Output) + func TensorArrayGatherV2(scope *Scope, handle tf.Output, indices tf.Output, flow_in tf.Output, ...) (value tf.Output) + func TensorArrayGatherV3(scope *Scope, handle tf.Output, indices tf.Output, flow_in tf.Output, ...) (value tf.Output) + func TensorArrayGradV2(scope *Scope, handle tf.Output, flow_in tf.Output, source string) (grad_handle tf.Output) + func TensorArrayGradV3(scope *Scope, handle tf.Output, flow_in tf.Output, source string) (grad_handle tf.Output, flow_out tf.Output) + func TensorArrayGradWithShape(scope *Scope, handle tf.Output, flow_in tf.Output, shape_to_prepend tf.Output, ...) (grad_handle tf.Output, flow_out tf.Output) + func TensorArrayReadV2(scope *Scope, handle tf.Output, index tf.Output, flow_in tf.Output, ...) (value tf.Output) + func TensorArrayReadV3(scope *Scope, handle tf.Output, index tf.Output, flow_in tf.Output, ...) (value tf.Output) + func TensorArrayScatterV2(scope *Scope, handle tf.Output, indices tf.Output, value tf.Output, ...) (flow_out tf.Output) + func TensorArrayScatterV3(scope *Scope, handle tf.Output, indices tf.Output, value tf.Output, ...) (flow_out tf.Output) + func TensorArraySizeV2(scope *Scope, handle tf.Output, flow_in tf.Output) (size tf.Output) + func TensorArraySizeV3(scope *Scope, handle tf.Output, flow_in tf.Output) (size tf.Output) + func TensorArraySplitV2(scope *Scope, handle tf.Output, value tf.Output, lengths tf.Output, ...) (flow_out tf.Output) + func TensorArraySplitV3(scope *Scope, handle tf.Output, value tf.Output, lengths tf.Output, ...) (flow_out tf.Output) + func TensorArrayV2(scope *Scope, size tf.Output, dtype tf.DataType, optional ...TensorArrayV2Attr) (handle tf.Output) + func TensorArrayV3(scope *Scope, size tf.Output, dtype tf.DataType, optional ...TensorArrayV3Attr) (handle tf.Output, flow tf.Output) + func TensorArrayWriteV2(scope *Scope, handle tf.Output, index tf.Output, value tf.Output, ...) (flow_out tf.Output) + func TensorArrayWriteV3(scope *Scope, handle tf.Output, index tf.Output, value tf.Output, ...) (flow_out tf.Output) + func TensorDataset(scope *Scope, components []tf.Output, output_shapes []tf.Shape, ...) (handle tf.Output) + func TensorListConcat(scope *Scope, input_handle tf.Output, element_dtype tf.DataType, ...) (tensor tf.Output, lengths tf.Output) + func TensorListConcatV2(scope *Scope, input_handle tf.Output, element_shape tf.Output, ...) (tensor tf.Output, lengths tf.Output) + func TensorListElementShape(scope *Scope, input_handle tf.Output, shape_type tf.DataType) (element_shape tf.Output) + func TensorListFromTensor(scope *Scope, tensor tf.Output, element_shape tf.Output) (output_handle tf.Output) + func TensorListGather(scope *Scope, input_handle tf.Output, indices tf.Output, ...) (values tf.Output) + func TensorListGetItem(scope *Scope, input_handle tf.Output, index tf.Output, element_shape tf.Output, ...) (item tf.Output) + func TensorListLength(scope *Scope, input_handle tf.Output) (length tf.Output) + func TensorListPopBack(scope *Scope, input_handle tf.Output, element_shape tf.Output, ...) (output_handle tf.Output, tensor tf.Output) + func TensorListPushBack(scope *Scope, input_handle tf.Output, tensor tf.Output) (output_handle tf.Output) + func TensorListReserve(scope *Scope, element_shape tf.Output, num_elements tf.Output, ...) (handle tf.Output) + func TensorListResize(scope *Scope, input_handle tf.Output, size tf.Output) (output_handle tf.Output) + func TensorListScatter(scope *Scope, tensor tf.Output, indices tf.Output, element_shape tf.Output) (output_handle tf.Output) + func TensorListScatterIntoExistingList(scope *Scope, input_handle tf.Output, tensor tf.Output, indices tf.Output) (output_handle tf.Output) + func TensorListScatterV2(scope *Scope, tensor tf.Output, indices tf.Output, element_shape tf.Output, ...) (output_handle tf.Output) + func TensorListSetItem(scope *Scope, input_handle tf.Output, index tf.Output, item tf.Output) (output_handle tf.Output) + func TensorListSplit(scope *Scope, tensor tf.Output, element_shape tf.Output, lengths tf.Output) (output_handle tf.Output) + func TensorListStack(scope *Scope, input_handle tf.Output, element_shape tf.Output, ...) (tensor tf.Output) + func TensorMapErase(scope *Scope, input_handle tf.Output, key tf.Output, value_dtype tf.DataType) (output_handle tf.Output) + func TensorMapHasKey(scope *Scope, input_handle tf.Output, key tf.Output) (has_key tf.Output) + func TensorMapInsert(scope *Scope, input_handle tf.Output, key tf.Output, value tf.Output) (output_handle tf.Output) + func TensorMapLookup(scope *Scope, input_handle tf.Output, key tf.Output, value_dtype tf.DataType) (value tf.Output) + func TensorMapSize(scope *Scope, input_handle tf.Output) (size tf.Output) + func TensorMapStackKeys(scope *Scope, input_handle tf.Output, key_dtype tf.DataType) (keys tf.Output) + func TensorScatterAdd(scope *Scope, tensor tf.Output, indices tf.Output, updates tf.Output) (output tf.Output) + func TensorScatterMax(scope *Scope, tensor tf.Output, indices tf.Output, updates tf.Output) (output tf.Output) + func TensorScatterSub(scope *Scope, tensor tf.Output, indices tf.Output, updates tf.Output) (output tf.Output) + func TensorScatterUpdate(scope *Scope, tensor tf.Output, indices tf.Output, updates tf.Output) (output tf.Output) + func TensorSliceDataset(scope *Scope, components []tf.Output, output_shapes []tf.Shape, ...) (handle tf.Output) + func TensorStridedSliceUpdate(scope *Scope, input tf.Output, begin tf.Output, end tf.Output, ...) (output tf.Output) + func TensorSummary(scope *Scope, tensor tf.Output, optional ...TensorSummaryAttr) (summary tf.Output) + func TensorSummaryV2(scope *Scope, tag tf.Output, tensor tf.Output, ...) (summary tf.Output) + func TextLineDataset(scope *Scope, filenames tf.Output, compression_type tf.Output, ...) (handle tf.Output) + func TextLineReaderV2(scope *Scope, optional ...TextLineReaderV2Attr) (reader_handle tf.Output) + func ThreadPoolDataset(scope *Scope, input_dataset tf.Output, thread_pool tf.Output, ...) (handle tf.Output) + func ThreadPoolHandle(scope *Scope, num_threads int64, display_name string, ...) (handle tf.Output) + func ThreadUnsafeUnigramCandidateSampler(scope *Scope, true_classes tf.Output, num_true int64, num_sampled int64, ...) (sampled_candidates tf.Output, true_expected_count tf.Output, ...) + func Tile(scope *Scope, input tf.Output, multiples tf.Output) (output tf.Output) + func TileGrad(scope *Scope, input tf.Output, multiples tf.Output) (output tf.Output) + func Timestamp(scope *Scope) (ts tf.Output) + func ToBool(scope *Scope, input tf.Output) (output tf.Output) + func TopK(scope *Scope, input tf.Output, k int64, optional ...TopKAttr) (values tf.Output, indices tf.Output) + func TopKUnique(scope *Scope, input tf.Output, k int64) (topk tf.Output, topk_indices tf.Output) + func TopKV2(scope *Scope, input tf.Output, k tf.Output, optional ...TopKV2Attr) (values tf.Output, indices tf.Output) + func TopKWithUnique(scope *Scope, input tf.Output, k int64) (topk tf.Output, topk_indices tf.Output) + func Transpose(scope *Scope, x tf.Output, perm tf.Output) (y tf.Output) + func TridiagonalMatMul(scope *Scope, superdiag tf.Output, maindiag tf.Output, subdiag tf.Output, ...) (output tf.Output) + func TridiagonalSolve(scope *Scope, diagonals tf.Output, rhs tf.Output, ...) (output tf.Output) + func TruncateDiv(scope *Scope, x tf.Output, y tf.Output) (z tf.Output) + func TruncateMod(scope *Scope, x tf.Output, y tf.Output) (z tf.Output) + func TruncatedNormal(scope *Scope, shape tf.Output, dtype tf.DataType, ...) (output tf.Output) + func Unbatch(scope *Scope, batched_tensor tf.Output, batch_index tf.Output, id tf.Output, ...) (unbatched_tensor tf.Output) + func UnbatchDataset(scope *Scope, input_dataset tf.Output, output_types []tf.DataType, ...) (handle tf.Output) + func UnbatchGrad(scope *Scope, original_input tf.Output, batch_index tf.Output, grad tf.Output, ...) (batched_grad tf.Output) + func UncompressElement(scope *Scope, compressed tf.Output, output_types []tf.DataType, ...) (components []tf.Output) + func UnicodeDecode(scope *Scope, input tf.Output, input_encoding string, ...) (row_splits tf.Output, char_values tf.Output) + func UnicodeDecodeWithOffsets(scope *Scope, input tf.Output, input_encoding string, ...) (row_splits tf.Output, char_values tf.Output, char_to_byte_starts tf.Output) + func UnicodeEncode(scope *Scope, input_values tf.Output, input_splits tf.Output, ...) (output tf.Output) + func UnicodeScript(scope *Scope, input tf.Output) (output tf.Output) + func UnicodeTranscode(scope *Scope, input tf.Output, input_encoding string, output_encoding string, ...) (output tf.Output) + func UniformCandidateSampler(scope *Scope, true_classes tf.Output, num_true int64, num_sampled int64, ...) (sampled_candidates tf.Output, true_expected_count tf.Output, ...) + func Unique(scope *Scope, x tf.Output, optional ...UniqueAttr) (y tf.Output, idx tf.Output) + func UniqueDataset(scope *Scope, input_dataset tf.Output, output_types []tf.DataType, ...) (handle tf.Output) + func UniqueV2(scope *Scope, x tf.Output, axis tf.Output, optional ...UniqueV2Attr) (y tf.Output, idx tf.Output) + func UniqueWithCounts(scope *Scope, x tf.Output, optional ...UniqueWithCountsAttr) (y tf.Output, idx tf.Output, count tf.Output) + func UniqueWithCountsV2(scope *Scope, x tf.Output, axis tf.Output, optional ...UniqueWithCountsV2Attr) (y tf.Output, idx tf.Output, count tf.Output) + func Unpack(scope *Scope, value tf.Output, num int64, optional ...UnpackAttr) (output []tf.Output) + func UnravelIndex(scope *Scope, indices tf.Output, dims tf.Output) (output tf.Output) + func UnsortedSegmentJoin(scope *Scope, inputs tf.Output, segment_ids tf.Output, num_segments tf.Output, ...) (output tf.Output) + func UnsortedSegmentMax(scope *Scope, data tf.Output, segment_ids tf.Output, num_segments tf.Output) (output tf.Output) + func UnsortedSegmentMin(scope *Scope, data tf.Output, segment_ids tf.Output, num_segments tf.Output) (output tf.Output) + func UnsortedSegmentProd(scope *Scope, data tf.Output, segment_ids tf.Output, num_segments tf.Output) (output tf.Output) + func UnsortedSegmentSum(scope *Scope, data tf.Output, segment_ids tf.Output, num_segments tf.Output) (output tf.Output) + func Unstage(scope *Scope, dtypes []tf.DataType, optional ...UnstageAttr) (values []tf.Output) + func UpperBound(scope *Scope, sorted_inputs tf.Output, values tf.Output, ...) (output tf.Output) + func VarHandleOp(scope *Scope, dtype tf.DataType, shape tf.Shape, optional ...VarHandleOpAttr) (resource tf.Output) + func VarIsInitializedOp(scope *Scope, resource tf.Output) (is_initialized tf.Output) + func VariableShape(scope *Scope, input tf.Output, optional ...VariableShapeAttr) (output tf.Output) + func Where(scope *Scope, condition tf.Output) (index tf.Output) + func WholeFileReaderV2(scope *Scope, optional ...WholeFileReaderV2Attr) (reader_handle tf.Output) + func WindowDataset(scope *Scope, input_dataset tf.Output, size tf.Output, shift tf.Output, ...) (handle tf.Output) + func WorkerHeartbeat(scope *Scope, request tf.Output) (response tf.Output) + func WriteAudioSummary(scope *Scope, writer tf.Output, step tf.Output, tag tf.Output, ...) (o *tf.Operation) + func WriteFile(scope *Scope, filename tf.Output, contents tf.Output) (o *tf.Operation) + func WriteGraphSummary(scope *Scope, writer tf.Output, step tf.Output, tensor tf.Output) (o *tf.Operation) + func WriteHistogramSummary(scope *Scope, writer tf.Output, step tf.Output, tag tf.Output, ...) (o *tf.Operation) + func WriteImageSummary(scope *Scope, writer tf.Output, step tf.Output, tag tf.Output, ...) (o *tf.Operation) + func WriteRawProtoSummary(scope *Scope, writer tf.Output, step tf.Output, tensor tf.Output) (o *tf.Operation) + func WriteScalarSummary(scope *Scope, writer tf.Output, step tf.Output, tag tf.Output, value tf.Output) (o *tf.Operation) + func WriteSummary(scope *Scope, writer tf.Output, step tf.Output, tensor tf.Output, ...) (o *tf.Operation) + func Xdivy(scope *Scope, x tf.Output, y tf.Output) (z tf.Output) + func XlaAllReduce(scope *Scope, input tf.Output, group_assignment tf.Output, reduce_op string, ...) (output tf.Output) + func XlaBroadcastHelper(scope *Scope, lhs tf.Output, rhs tf.Output, broadcast_dims tf.Output) (lhs_output tf.Output, rhs_output tf.Output) + func XlaConcatND(scope *Scope, inputs []tf.Output, num_concats []int64, ...) (output tf.Output) + func XlaConv(scope *Scope, lhs tf.Output, rhs tf.Output, window_strides tf.Output, ...) (output tf.Output) + func XlaConvV2(scope *Scope, lhs tf.Output, rhs tf.Output, window_strides tf.Output, ...) (output tf.Output) + func XlaDequantize(scope *Scope, input tf.Output, min_range float32, max_range float32, ...) (output tf.Output) + func XlaDot(scope *Scope, lhs tf.Output, rhs tf.Output, dimension_numbers string, ...) (output tf.Output) + func XlaDotV2(scope *Scope, lhs tf.Output, rhs tf.Output, dimension_numbers string, ...) (output tf.Output) + func XlaDynamicSlice(scope *Scope, input tf.Output, start_indices tf.Output, size_indices tf.Output) (output tf.Output) + func XlaDynamicUpdateSlice(scope *Scope, input tf.Output, update tf.Output, indices tf.Output) (output tf.Output) + func XlaEinsum(scope *Scope, a tf.Output, b tf.Output, equation string) (product tf.Output) + func XlaGather(scope *Scope, operand tf.Output, start_indices tf.Output, ...) (output tf.Output) + func XlaKeyValueSort(scope *Scope, keys tf.Output, values tf.Output) (sorted_keys tf.Output, sorted_values tf.Output) + func XlaPad(scope *Scope, input tf.Output, padding_value tf.Output, padding_low tf.Output, ...) (output tf.Output) + func XlaRecv(scope *Scope, dtype tf.DataType, tensor_name string, shape tf.Shape) (tensor tf.Output) + func XlaRecvFromHost(scope *Scope, Toutput tf.DataType, shape tf.Shape, key string) (output tf.Output) + func XlaReduceScatter(scope *Scope, input tf.Output, group_assignment tf.Output, ...) (output tf.Output) + func XlaRemoveDynamicDimensionSize(scope *Scope, input tf.Output, dim_index tf.Output) (output tf.Output) + func XlaReplicaId(scope *Scope) (id tf.Output) + func XlaRngBitGenerator(scope *Scope, algorithm tf.Output, initial_state tf.Output, shape tf.Output, ...) (output_key tf.Output, output tf.Output) + func XlaSelfAdjointEig(scope *Scope, a tf.Output, lower bool, max_iter int64, epsilon float32) (w tf.Output, v tf.Output) + func XlaSend(scope *Scope, tensor tf.Output, tensor_name string) (o *tf.Operation) + func XlaSendToHost(scope *Scope, input tf.Output, key string) (o *tf.Operation) + func XlaSetBound(scope *Scope, input tf.Output, bound tf.Output) (output tf.Output) + func XlaSetDynamicDimensionSize(scope *Scope, input tf.Output, dim_index tf.Output, size tf.Output) (output tf.Output) + func XlaSharding(scope *Scope, input tf.Output, optional ...XlaShardingAttr) (output tf.Output) + func XlaSort(scope *Scope, input tf.Output) (output tf.Output) + func XlaSplitND(scope *Scope, input tf.Output, N int64, num_splits []int64, ...) (outputs []tf.Output) + func XlaSpmdFullToShardShape(scope *Scope, input tf.Output, manual_sharding string, ...) (output tf.Output) + func XlaSpmdShardToFullShape(scope *Scope, input tf.Output, manual_sharding string, full_shape tf.Shape, ...) (output tf.Output) + func XlaSvd(scope *Scope, a tf.Output, max_iter int64, epsilon float32, ...) (s tf.Output, u tf.Output, v tf.Output) + func Xlog1py(scope *Scope, x tf.Output, y tf.Output) (z tf.Output) + func Xlogy(scope *Scope, x tf.Output, y tf.Output) (z tf.Output) + func ZerosLike(scope *Scope, x tf.Output) (y tf.Output) + func Zeta(scope *Scope, x tf.Output, q tf.Output) (z tf.Output) + func ZipDataset(scope *Scope, input_datasets []tf.Output, output_types []tf.DataType, ...) (handle tf.Output) + type AbortAttr func(optionalAttr) + func AbortErrorMsg(value string) AbortAttr + func AbortExitWithoutError(value bool) AbortAttr + type AddManySparseToTensorsMapAttr func(optionalAttr) + func AddManySparseToTensorsMapContainer(value string) AddManySparseToTensorsMapAttr + func AddManySparseToTensorsMapSharedName(value string) AddManySparseToTensorsMapAttr + type AddSparseToTensorsMapAttr func(optionalAttr) + func AddSparseToTensorsMapContainer(value string) AddSparseToTensorsMapAttr + func AddSparseToTensorsMapSharedName(value string) AddSparseToTensorsMapAttr + type AllAttr func(optionalAttr) + func AllKeepDims(value bool) AllAttr + type AllCandidateSamplerAttr func(optionalAttr) + func AllCandidateSamplerSeed(value int64) AllCandidateSamplerAttr + func AllCandidateSamplerSeed2(value int64) AllCandidateSamplerAttr + type AngleAttr func(optionalAttr) + func AngleTout(value tf.DataType) AngleAttr + type AnonymousMutableDenseHashTableAttr func(optionalAttr) + func AnonymousMutableDenseHashTableInitialNumBuckets(value int64) AnonymousMutableDenseHashTableAttr + func AnonymousMutableDenseHashTableMaxLoadFactor(value float32) AnonymousMutableDenseHashTableAttr + func AnonymousMutableDenseHashTableValueShape(value tf.Shape) AnonymousMutableDenseHashTableAttr + type AnonymousMutableHashTableOfTensorsAttr func(optionalAttr) + func AnonymousMutableHashTableOfTensorsValueShape(value tf.Shape) AnonymousMutableHashTableOfTensorsAttr + type AnyAttr func(optionalAttr) + func AnyKeepDims(value bool) AnyAttr + type ApproximateEqualAttr func(optionalAttr) + func ApproximateEqualTolerance(value float32) ApproximateEqualAttr + type ArgMaxAttr func(optionalAttr) + func ArgMaxOutputType(value tf.DataType) ArgMaxAttr + type ArgMinAttr func(optionalAttr) + func ArgMinOutputType(value tf.DataType) ArgMinAttr + type AsStringAttr func(optionalAttr) + func AsStringFill(value string) AsStringAttr + func AsStringPrecision(value int64) AsStringAttr + func AsStringScientific(value bool) AsStringAttr + func AsStringShortest(value bool) AsStringAttr + func AsStringWidth(value int64) AsStringAttr + type AssertAttr func(optionalAttr) + func AssertSummarize(value int64) AssertAttr + type AssignVariableOpAttr func(optionalAttr) + func AssignVariableOpValidateShape(value bool) AssignVariableOpAttr + type AssignVariableXlaConcatNDAttr func(optionalAttr) + func AssignVariableXlaConcatNDPaddings(value []int64) AssignVariableXlaConcatNDAttr + type AudioSpectrogramAttr func(optionalAttr) + func AudioSpectrogramMagnitudeSquared(value bool) AudioSpectrogramAttr + type AudioSummaryAttr func(optionalAttr) + func AudioSummaryMaxOutputs(value int64) AudioSummaryAttr + type AudioSummaryV2Attr func(optionalAttr) + func AudioSummaryV2MaxOutputs(value int64) AudioSummaryV2Attr + type AutoShardDatasetAttr func(optionalAttr) + func AutoShardDatasetAutoShardPolicy(value int64) AutoShardDatasetAttr + func AutoShardDatasetNumReplicas(value int64) AutoShardDatasetAttr + type AvgPool3DAttr func(optionalAttr) + func AvgPool3DDataFormat(value string) AvgPool3DAttr + type AvgPool3DGradAttr func(optionalAttr) + func AvgPool3DGradDataFormat(value string) AvgPool3DGradAttr + type AvgPoolAttr func(optionalAttr) + func AvgPoolDataFormat(value string) AvgPoolAttr + type AvgPoolGradAttr func(optionalAttr) + func AvgPoolGradDataFormat(value string) AvgPoolGradAttr + type BatchAttr func(optionalAttr) + func BatchAllowedBatchSizes(value []int64) BatchAttr + func BatchBatchingQueue(value string) BatchAttr + func BatchContainer(value string) BatchAttr + func BatchMaxEnqueuedBatches(value int64) BatchAttr + func BatchSharedName(value string) BatchAttr + type BatchDatasetAttr func(optionalAttr) + func BatchDatasetMetadata(value string) BatchDatasetAttr + type BatchDatasetV2Attr func(optionalAttr) + func BatchDatasetV2Metadata(value string) BatchDatasetV2Attr + func BatchDatasetV2ParallelCopy(value bool) BatchDatasetV2Attr + type BatchMatMulAttr func(optionalAttr) + func BatchMatMulAdjX(value bool) BatchMatMulAttr + func BatchMatMulAdjY(value bool) BatchMatMulAttr + type BatchMatMulV2Attr func(optionalAttr) + func BatchMatMulV2AdjX(value bool) BatchMatMulV2Attr + func BatchMatMulV2AdjY(value bool) BatchMatMulV2Attr + type BatchMatMulV3Attr func(optionalAttr) + func BatchMatMulV3AdjX(value bool) BatchMatMulV3Attr + func BatchMatMulV3AdjY(value bool) BatchMatMulV3Attr + type BiasAddAttr func(optionalAttr) + func BiasAddDataFormat(value string) BiasAddAttr + type BiasAddGradAttr func(optionalAttr) + func BiasAddGradDataFormat(value string) BiasAddGradAttr + type BlockLSTMAttr func(optionalAttr) + func BlockLSTMCellClip(value float32) BlockLSTMAttr + func BlockLSTMForgetBias(value float32) BlockLSTMAttr + func BlockLSTMUsePeephole(value bool) BlockLSTMAttr + type BlockLSTMV2Attr func(optionalAttr) + func BlockLSTMV2CellClip(value float32) BlockLSTMV2Attr + func BlockLSTMV2UsePeephole(value bool) BlockLSTMV2Attr + type BoostedTreesCalculateBestFeatureSplitAttr func(optionalAttr) + func BoostedTreesCalculateBestFeatureSplitSplitType(value string) BoostedTreesCalculateBestFeatureSplitAttr + type BoostedTreesCreateQuantileStreamResourceAttr func(optionalAttr) + func BoostedTreesCreateQuantileStreamResourceMaxElements(value int64) BoostedTreesCreateQuantileStreamResourceAttr + type BoostedTreesEnsembleResourceHandleOpAttr func(optionalAttr) + func BoostedTreesEnsembleResourceHandleOpContainer(value string) BoostedTreesEnsembleResourceHandleOpAttr + func BoostedTreesEnsembleResourceHandleOpSharedName(value string) BoostedTreesEnsembleResourceHandleOpAttr + type BoostedTreesQuantileStreamResourceFlushAttr func(optionalAttr) + func BoostedTreesQuantileStreamResourceFlushGenerateQuantiles(value bool) BoostedTreesQuantileStreamResourceFlushAttr + type BoostedTreesQuantileStreamResourceHandleOpAttr func(optionalAttr) + func BoostedTreesQuantileStreamResourceHandleOpContainer(value string) BoostedTreesQuantileStreamResourceHandleOpAttr + func BoostedTreesQuantileStreamResourceHandleOpSharedName(value string) BoostedTreesQuantileStreamResourceHandleOpAttr + type BoostedTreesSparseCalculateBestFeatureSplitAttr func(optionalAttr) + func BoostedTreesSparseCalculateBestFeatureSplitSplitType(value string) BoostedTreesSparseCalculateBestFeatureSplitAttr + type BoostedTreesUpdateEnsembleV2Attr func(optionalAttr) + func BoostedTreesUpdateEnsembleV2LogitsDimension(value int64) BoostedTreesUpdateEnsembleV2Attr + type CTCBeamSearchDecoderAttr func(optionalAttr) + func CTCBeamSearchDecoderMergeRepeated(value bool) CTCBeamSearchDecoderAttr + type CTCGreedyDecoderAttr func(optionalAttr) + func CTCGreedyDecoderBlankIndex(value int64) CTCGreedyDecoderAttr + func CTCGreedyDecoderMergeRepeated(value bool) CTCGreedyDecoderAttr + type CTCLossAttr func(optionalAttr) + func CTCLossCtcMergeRepeated(value bool) CTCLossAttr + func CTCLossIgnoreLongerOutputsThanInputs(value bool) CTCLossAttr + func CTCLossPreprocessCollapseRepeated(value bool) CTCLossAttr + type CTCLossV2Attr func(optionalAttr) + func CTCLossV2CtcMergeRepeated(value bool) CTCLossV2Attr + func CTCLossV2IgnoreLongerOutputsThanInputs(value bool) CTCLossV2Attr + func CTCLossV2PreprocessCollapseRepeated(value bool) CTCLossV2Attr + type CacheDatasetAttr func(optionalAttr) + func CacheDatasetMetadata(value string) CacheDatasetAttr + type CastAttr func(optionalAttr) + func CastTruncate(value bool) CastAttr + type CollectiveAllToAllV3Attr func(optionalAttr) + func CollectiveAllToAllV3TimeoutSeconds(value float32) CollectiveAllToAllV3Attr + type CollectiveBcastRecvAttr func(optionalAttr) + func CollectiveBcastRecvCommunicationHint(value string) CollectiveBcastRecvAttr + func CollectiveBcastRecvTimeoutSeconds(value float32) CollectiveBcastRecvAttr + type CollectiveBcastRecvV2Attr func(optionalAttr) + func CollectiveBcastRecvV2CommunicationHint(value string) CollectiveBcastRecvV2Attr + func CollectiveBcastRecvV2TimeoutSeconds(value float32) CollectiveBcastRecvV2Attr + type CollectiveBcastSendAttr func(optionalAttr) + func CollectiveBcastSendCommunicationHint(value string) CollectiveBcastSendAttr + func CollectiveBcastSendTimeoutSeconds(value float32) CollectiveBcastSendAttr + type CollectiveBcastSendV2Attr func(optionalAttr) + func CollectiveBcastSendV2CommunicationHint(value string) CollectiveBcastSendV2Attr + func CollectiveBcastSendV2TimeoutSeconds(value float32) CollectiveBcastSendV2Attr + type CollectiveGatherAttr func(optionalAttr) + func CollectiveGatherCommunicationHint(value string) CollectiveGatherAttr + func CollectiveGatherTimeoutSeconds(value float32) CollectiveGatherAttr + type CollectiveGatherV2Attr func(optionalAttr) + func CollectiveGatherV2CommunicationHint(value string) CollectiveGatherV2Attr + func CollectiveGatherV2TimeoutSeconds(value float32) CollectiveGatherV2Attr + type CollectiveInitializeCommunicatorAttr func(optionalAttr) + func CollectiveInitializeCommunicatorCommunicationHint(value string) CollectiveInitializeCommunicatorAttr + func CollectiveInitializeCommunicatorTimeoutSeconds(value float32) CollectiveInitializeCommunicatorAttr + type CollectiveReduceAttr func(optionalAttr) + func CollectiveReduceCommunicationHint(value string) CollectiveReduceAttr + func CollectiveReduceTimeoutSeconds(value float32) CollectiveReduceAttr + func CollectiveReduceWaitFor(value []int64) CollectiveReduceAttr + type CollectiveReduceV2Attr func(optionalAttr) + func CollectiveReduceV2CommunicationHint(value string) CollectiveReduceV2Attr + func CollectiveReduceV2MaxSubdivsPerDevice(value int64) CollectiveReduceV2Attr + func CollectiveReduceV2TimeoutSeconds(value float32) CollectiveReduceV2Attr + type CollectiveReduceV3Attr func(optionalAttr) + func CollectiveReduceV3TimeoutSeconds(value float32) CollectiveReduceV3Attr + type CombinedNonMaxSuppressionAttr func(optionalAttr) + func CombinedNonMaxSuppressionClipBoxes(value bool) CombinedNonMaxSuppressionAttr + func CombinedNonMaxSuppressionPadPerClass(value bool) CombinedNonMaxSuppressionAttr + type ComplexAbsAttr func(optionalAttr) + func ComplexAbsTout(value tf.DataType) ComplexAbsAttr + type ComplexAttr func(optionalAttr) + func ComplexTout(value tf.DataType) ComplexAttr + type ComputeAccidentalHitsAttr func(optionalAttr) + func ComputeAccidentalHitsSeed(value int64) ComputeAccidentalHitsAttr + func ComputeAccidentalHitsSeed2(value int64) ComputeAccidentalHitsAttr + type ConcatenateDatasetAttr func(optionalAttr) + func ConcatenateDatasetMetadata(value string) ConcatenateDatasetAttr + type ConfigureDistributedTPUAttr func(optionalAttr) + func ConfigureDistributedTPUCompilationFailureClosesChips(value bool) ConfigureDistributedTPUAttr + func ConfigureDistributedTPUEmbeddingConfig(value string) ConfigureDistributedTPUAttr + func ConfigureDistributedTPUEnableWholeMeshCompilations(value bool) ConfigureDistributedTPUAttr + func ConfigureDistributedTPUIsGlobalInit(value bool) ConfigureDistributedTPUAttr + func ConfigureDistributedTPUTpuCancellationClosesChips(value int64) ConfigureDistributedTPUAttr + func ConfigureDistributedTPUTpuEmbeddingConfig(value string) ConfigureDistributedTPUAttr + type Conv2DAttr func(optionalAttr) + func Conv2DDataFormat(value string) Conv2DAttr + func Conv2DDilations(value []int64) Conv2DAttr + func Conv2DExplicitPaddings(value []int64) Conv2DAttr + func Conv2DUseCudnnOnGpu(value bool) Conv2DAttr + type Conv2DBackpropFilterAttr func(optionalAttr) + func Conv2DBackpropFilterDataFormat(value string) Conv2DBackpropFilterAttr + func Conv2DBackpropFilterDilations(value []int64) Conv2DBackpropFilterAttr + func Conv2DBackpropFilterExplicitPaddings(value []int64) Conv2DBackpropFilterAttr + func Conv2DBackpropFilterUseCudnnOnGpu(value bool) Conv2DBackpropFilterAttr + type Conv2DBackpropInputAttr func(optionalAttr) + func Conv2DBackpropInputDataFormat(value string) Conv2DBackpropInputAttr + func Conv2DBackpropInputDilations(value []int64) Conv2DBackpropInputAttr + func Conv2DBackpropInputExplicitPaddings(value []int64) Conv2DBackpropInputAttr + func Conv2DBackpropInputUseCudnnOnGpu(value bool) Conv2DBackpropInputAttr + type Conv3DAttr func(optionalAttr) + func Conv3DDataFormat(value string) Conv3DAttr + func Conv3DDilations(value []int64) Conv3DAttr + type Conv3DBackpropFilterAttr func(optionalAttr) + func Conv3DBackpropFilterDilations(value []int64) Conv3DBackpropFilterAttr + type Conv3DBackpropFilterV2Attr func(optionalAttr) + func Conv3DBackpropFilterV2DataFormat(value string) Conv3DBackpropFilterV2Attr + func Conv3DBackpropFilterV2Dilations(value []int64) Conv3DBackpropFilterV2Attr + type Conv3DBackpropInputAttr func(optionalAttr) + func Conv3DBackpropInputDilations(value []int64) Conv3DBackpropInputAttr + type Conv3DBackpropInputV2Attr func(optionalAttr) + func Conv3DBackpropInputV2DataFormat(value string) Conv3DBackpropInputV2Attr + func Conv3DBackpropInputV2Dilations(value []int64) Conv3DBackpropInputV2Attr + type CopyAttr func(optionalAttr) + func CopyDebugOpsSpec(value []string) CopyAttr + func CopyTensorName(value string) CopyAttr + type CopyHostAttr func(optionalAttr) + func CopyHostDebugOpsSpec(value []string) CopyHostAttr + func CopyHostTensorName(value string) CopyHostAttr + type CropAndResizeAttr func(optionalAttr) + func CropAndResizeExtrapolationValue(value float32) CropAndResizeAttr + func CropAndResizeMethod(value string) CropAndResizeAttr + type CropAndResizeGradBoxesAttr func(optionalAttr) + func CropAndResizeGradBoxesMethod(value string) CropAndResizeGradBoxesAttr + type CropAndResizeGradImageAttr func(optionalAttr) + func CropAndResizeGradImageMethod(value string) CropAndResizeGradImageAttr + type CudnnRNNAttr func(optionalAttr) + func CudnnRNNDirection(value string) CudnnRNNAttr + func CudnnRNNDropout(value float32) CudnnRNNAttr + func CudnnRNNInputMode(value string) CudnnRNNAttr + func CudnnRNNIsTraining(value bool) CudnnRNNAttr + func CudnnRNNRnnMode(value string) CudnnRNNAttr + func CudnnRNNSeed(value int64) CudnnRNNAttr + func CudnnRNNSeed2(value int64) CudnnRNNAttr + type CudnnRNNBackpropAttr func(optionalAttr) + func CudnnRNNBackpropDirection(value string) CudnnRNNBackpropAttr + func CudnnRNNBackpropDropout(value float32) CudnnRNNBackpropAttr + func CudnnRNNBackpropInputMode(value string) CudnnRNNBackpropAttr + func CudnnRNNBackpropRnnMode(value string) CudnnRNNBackpropAttr + func CudnnRNNBackpropSeed(value int64) CudnnRNNBackpropAttr + func CudnnRNNBackpropSeed2(value int64) CudnnRNNBackpropAttr + type CudnnRNNBackpropV2Attr func(optionalAttr) + func CudnnRNNBackpropV2Direction(value string) CudnnRNNBackpropV2Attr + func CudnnRNNBackpropV2Dropout(value float32) CudnnRNNBackpropV2Attr + func CudnnRNNBackpropV2InputMode(value string) CudnnRNNBackpropV2Attr + func CudnnRNNBackpropV2RnnMode(value string) CudnnRNNBackpropV2Attr + func CudnnRNNBackpropV2Seed(value int64) CudnnRNNBackpropV2Attr + func CudnnRNNBackpropV2Seed2(value int64) CudnnRNNBackpropV2Attr + type CudnnRNNBackpropV3Attr func(optionalAttr) + func CudnnRNNBackpropV3Direction(value string) CudnnRNNBackpropV3Attr + func CudnnRNNBackpropV3Dropout(value float32) CudnnRNNBackpropV3Attr + func CudnnRNNBackpropV3InputMode(value string) CudnnRNNBackpropV3Attr + func CudnnRNNBackpropV3NumProj(value int64) CudnnRNNBackpropV3Attr + func CudnnRNNBackpropV3RnnMode(value string) CudnnRNNBackpropV3Attr + func CudnnRNNBackpropV3Seed(value int64) CudnnRNNBackpropV3Attr + func CudnnRNNBackpropV3Seed2(value int64) CudnnRNNBackpropV3Attr + func CudnnRNNBackpropV3TimeMajor(value bool) CudnnRNNBackpropV3Attr + type CudnnRNNCanonicalToParamsAttr func(optionalAttr) + func CudnnRNNCanonicalToParamsDirection(value string) CudnnRNNCanonicalToParamsAttr + func CudnnRNNCanonicalToParamsDropout(value float32) CudnnRNNCanonicalToParamsAttr + func CudnnRNNCanonicalToParamsInputMode(value string) CudnnRNNCanonicalToParamsAttr + func CudnnRNNCanonicalToParamsRnnMode(value string) CudnnRNNCanonicalToParamsAttr + func CudnnRNNCanonicalToParamsSeed(value int64) CudnnRNNCanonicalToParamsAttr + func CudnnRNNCanonicalToParamsSeed2(value int64) CudnnRNNCanonicalToParamsAttr + type CudnnRNNCanonicalToParamsV2Attr func(optionalAttr) + func CudnnRNNCanonicalToParamsV2Direction(value string) CudnnRNNCanonicalToParamsV2Attr + func CudnnRNNCanonicalToParamsV2Dropout(value float32) CudnnRNNCanonicalToParamsV2Attr + func CudnnRNNCanonicalToParamsV2InputMode(value string) CudnnRNNCanonicalToParamsV2Attr + func CudnnRNNCanonicalToParamsV2NumProj(value int64) CudnnRNNCanonicalToParamsV2Attr + func CudnnRNNCanonicalToParamsV2RnnMode(value string) CudnnRNNCanonicalToParamsV2Attr + func CudnnRNNCanonicalToParamsV2Seed(value int64) CudnnRNNCanonicalToParamsV2Attr + func CudnnRNNCanonicalToParamsV2Seed2(value int64) CudnnRNNCanonicalToParamsV2Attr + type CudnnRNNParamsSizeAttr func(optionalAttr) + func CudnnRNNParamsSizeDirection(value string) CudnnRNNParamsSizeAttr + func CudnnRNNParamsSizeDropout(value float32) CudnnRNNParamsSizeAttr + func CudnnRNNParamsSizeInputMode(value string) CudnnRNNParamsSizeAttr + func CudnnRNNParamsSizeNumProj(value int64) CudnnRNNParamsSizeAttr + func CudnnRNNParamsSizeRnnMode(value string) CudnnRNNParamsSizeAttr + func CudnnRNNParamsSizeSeed(value int64) CudnnRNNParamsSizeAttr + func CudnnRNNParamsSizeSeed2(value int64) CudnnRNNParamsSizeAttr + type CudnnRNNParamsToCanonicalAttr func(optionalAttr) + func CudnnRNNParamsToCanonicalDirection(value string) CudnnRNNParamsToCanonicalAttr + func CudnnRNNParamsToCanonicalDropout(value float32) CudnnRNNParamsToCanonicalAttr + func CudnnRNNParamsToCanonicalInputMode(value string) CudnnRNNParamsToCanonicalAttr + func CudnnRNNParamsToCanonicalRnnMode(value string) CudnnRNNParamsToCanonicalAttr + func CudnnRNNParamsToCanonicalSeed(value int64) CudnnRNNParamsToCanonicalAttr + func CudnnRNNParamsToCanonicalSeed2(value int64) CudnnRNNParamsToCanonicalAttr + type CudnnRNNParamsToCanonicalV2Attr func(optionalAttr) + func CudnnRNNParamsToCanonicalV2Direction(value string) CudnnRNNParamsToCanonicalV2Attr + func CudnnRNNParamsToCanonicalV2Dropout(value float32) CudnnRNNParamsToCanonicalV2Attr + func CudnnRNNParamsToCanonicalV2InputMode(value string) CudnnRNNParamsToCanonicalV2Attr + func CudnnRNNParamsToCanonicalV2NumProj(value int64) CudnnRNNParamsToCanonicalV2Attr + func CudnnRNNParamsToCanonicalV2RnnMode(value string) CudnnRNNParamsToCanonicalV2Attr + func CudnnRNNParamsToCanonicalV2Seed(value int64) CudnnRNNParamsToCanonicalV2Attr + func CudnnRNNParamsToCanonicalV2Seed2(value int64) CudnnRNNParamsToCanonicalV2Attr + type CudnnRNNV2Attr func(optionalAttr) + func CudnnRNNV2Direction(value string) CudnnRNNV2Attr + func CudnnRNNV2Dropout(value float32) CudnnRNNV2Attr + func CudnnRNNV2InputMode(value string) CudnnRNNV2Attr + func CudnnRNNV2IsTraining(value bool) CudnnRNNV2Attr + func CudnnRNNV2RnnMode(value string) CudnnRNNV2Attr + func CudnnRNNV2Seed(value int64) CudnnRNNV2Attr + func CudnnRNNV2Seed2(value int64) CudnnRNNV2Attr + type CudnnRNNV3Attr func(optionalAttr) + func CudnnRNNV3Direction(value string) CudnnRNNV3Attr + func CudnnRNNV3Dropout(value float32) CudnnRNNV3Attr + func CudnnRNNV3InputMode(value string) CudnnRNNV3Attr + func CudnnRNNV3IsTraining(value bool) CudnnRNNV3Attr + func CudnnRNNV3NumProj(value int64) CudnnRNNV3Attr + func CudnnRNNV3RnnMode(value string) CudnnRNNV3Attr + func CudnnRNNV3Seed(value int64) CudnnRNNV3Attr + func CudnnRNNV3Seed2(value int64) CudnnRNNV3Attr + func CudnnRNNV3TimeMajor(value bool) CudnnRNNV3Attr + type CumprodAttr func(optionalAttr) + func CumprodExclusive(value bool) CumprodAttr + func CumprodReverse(value bool) CumprodAttr + type CumsumAttr func(optionalAttr) + func CumsumExclusive(value bool) CumsumAttr + func CumsumReverse(value bool) CumsumAttr + type CumulativeLogsumexpAttr func(optionalAttr) + func CumulativeLogsumexpExclusive(value bool) CumulativeLogsumexpAttr + func CumulativeLogsumexpReverse(value bool) CumulativeLogsumexpAttr + type DataFormatDimMapAttr func(optionalAttr) + func DataFormatDimMapDstFormat(value string) DataFormatDimMapAttr + func DataFormatDimMapSrcFormat(value string) DataFormatDimMapAttr + type DataFormatVecPermuteAttr func(optionalAttr) + func DataFormatVecPermuteDstFormat(value string) DataFormatVecPermuteAttr + func DataFormatVecPermuteSrcFormat(value string) DataFormatVecPermuteAttr + type DataServiceDatasetAttr func(optionalAttr) + func DataServiceDatasetDataTransferProtocol(value string) DataServiceDatasetAttr + func DataServiceDatasetTargetWorkers(value string) DataServiceDatasetAttr + func DataServiceDatasetTaskRefreshIntervalHintMs(value int64) DataServiceDatasetAttr + type DataServiceDatasetV2Attr func(optionalAttr) + func DataServiceDatasetV2DataTransferProtocol(value string) DataServiceDatasetV2Attr + func DataServiceDatasetV2TargetWorkers(value string) DataServiceDatasetV2Attr + func DataServiceDatasetV2TaskRefreshIntervalHintMs(value int64) DataServiceDatasetV2Attr + type DatasetToGraphAttr func(optionalAttr) + func DatasetToGraphAllowStateful(value bool) DatasetToGraphAttr + func DatasetToGraphStatefulWhitelist(value []string) DatasetToGraphAttr + func DatasetToGraphStripDeviceAssignment(value bool) DatasetToGraphAttr + type DatasetToGraphV2Attr func(optionalAttr) + func DatasetToGraphV2ExternalStatePolicy(value int64) DatasetToGraphV2Attr + func DatasetToGraphV2StripDeviceAssignment(value bool) DatasetToGraphV2Attr + type DatasetToSingleElementAttr func(optionalAttr) + func DatasetToSingleElementMetadata(value string) DatasetToSingleElementAttr + type DebugIdentityAttr func(optionalAttr) + func DebugIdentityDebugUrls(value []string) DebugIdentityAttr + func DebugIdentityDeviceName(value string) DebugIdentityAttr + func DebugIdentityGatedGrpc(value bool) DebugIdentityAttr + func DebugIdentityTensorName(value string) DebugIdentityAttr + type DebugIdentityV2Attr func(optionalAttr) + func DebugIdentityV2CircularBufferSize(value int64) DebugIdentityV2Attr + func DebugIdentityV2DebugUrls(value []string) DebugIdentityV2Attr + func DebugIdentityV2OpName(value string) DebugIdentityV2Attr + func DebugIdentityV2OutputSlot(value int64) DebugIdentityV2Attr + func DebugIdentityV2TensorDebugMode(value int64) DebugIdentityV2Attr + func DebugIdentityV2TfdbgContextId(value string) DebugIdentityV2Attr + func DebugIdentityV2TfdbgRunId(value string) DebugIdentityV2Attr + type DebugNanCountAttr func(optionalAttr) + func DebugNanCountDebugUrls(value []string) DebugNanCountAttr + func DebugNanCountDeviceName(value string) DebugNanCountAttr + func DebugNanCountGatedGrpc(value bool) DebugNanCountAttr + func DebugNanCountTensorName(value string) DebugNanCountAttr + type DebugNumericSummaryAttr func(optionalAttr) + func DebugNumericSummaryDebugUrls(value []string) DebugNumericSummaryAttr + func DebugNumericSummaryDeviceName(value string) DebugNumericSummaryAttr + func DebugNumericSummaryGatedGrpc(value bool) DebugNumericSummaryAttr + func DebugNumericSummaryLowerBound(value float32) DebugNumericSummaryAttr + func DebugNumericSummaryMuteIfHealthy(value bool) DebugNumericSummaryAttr + func DebugNumericSummaryTensorName(value string) DebugNumericSummaryAttr + func DebugNumericSummaryUpperBound(value float32) DebugNumericSummaryAttr + type DebugNumericSummaryV2Attr func(optionalAttr) + func DebugNumericSummaryV2OutputDtype(value tf.DataType) DebugNumericSummaryV2Attr + func DebugNumericSummaryV2TensorDebugMode(value int64) DebugNumericSummaryV2Attr + func DebugNumericSummaryV2TensorId(value int64) DebugNumericSummaryV2Attr + type DecodeAndCropJpegAttr func(optionalAttr) + func DecodeAndCropJpegAcceptableFraction(value float32) DecodeAndCropJpegAttr + func DecodeAndCropJpegChannels(value int64) DecodeAndCropJpegAttr + func DecodeAndCropJpegDctMethod(value string) DecodeAndCropJpegAttr + func DecodeAndCropJpegFancyUpscaling(value bool) DecodeAndCropJpegAttr + func DecodeAndCropJpegRatio(value int64) DecodeAndCropJpegAttr + func DecodeAndCropJpegTryRecoverTruncated(value bool) DecodeAndCropJpegAttr + type DecodeBmpAttr func(optionalAttr) + func DecodeBmpChannels(value int64) DecodeBmpAttr + type DecodeCSVAttr func(optionalAttr) + func DecodeCSVFieldDelim(value string) DecodeCSVAttr + func DecodeCSVNaValue(value string) DecodeCSVAttr + func DecodeCSVSelectCols(value []int64) DecodeCSVAttr + func DecodeCSVUseQuoteDelim(value bool) DecodeCSVAttr + type DecodeCompressedAttr func(optionalAttr) + func DecodeCompressedCompressionType(value string) DecodeCompressedAttr + type DecodeImageAttr func(optionalAttr) + func DecodeImageChannels(value int64) DecodeImageAttr + func DecodeImageDtype(value tf.DataType) DecodeImageAttr + func DecodeImageExpandAnimations(value bool) DecodeImageAttr + type DecodeJpegAttr func(optionalAttr) + func DecodeJpegAcceptableFraction(value float32) DecodeJpegAttr + func DecodeJpegChannels(value int64) DecodeJpegAttr + func DecodeJpegDctMethod(value string) DecodeJpegAttr + func DecodeJpegFancyUpscaling(value bool) DecodeJpegAttr + func DecodeJpegRatio(value int64) DecodeJpegAttr + func DecodeJpegTryRecoverTruncated(value bool) DecodeJpegAttr + type DecodePaddedRawAttr func(optionalAttr) + func DecodePaddedRawLittleEndian(value bool) DecodePaddedRawAttr + type DecodePngAttr func(optionalAttr) + func DecodePngChannels(value int64) DecodePngAttr + func DecodePngDtype(value tf.DataType) DecodePngAttr + type DecodeProtoV2Attr func(optionalAttr) + func DecodeProtoV2DescriptorSource(value string) DecodeProtoV2Attr + func DecodeProtoV2MessageFormat(value string) DecodeProtoV2Attr + func DecodeProtoV2Sanitize(value bool) DecodeProtoV2Attr + type DecodeRawAttr func(optionalAttr) + func DecodeRawLittleEndian(value bool) DecodeRawAttr + type DecodeWavAttr func(optionalAttr) + func DecodeWavDesiredChannels(value int64) DecodeWavAttr + func DecodeWavDesiredSamples(value int64) DecodeWavAttr + type DenseBincountAttr func(optionalAttr) + func DenseBincountBinaryOutput(value bool) DenseBincountAttr + type DenseCountSparseOutputAttr func(optionalAttr) + func DenseCountSparseOutputMaxlength(value int64) DenseCountSparseOutputAttr + func DenseCountSparseOutputMinlength(value int64) DenseCountSparseOutputAttr + type DenseToDenseSetOperationAttr func(optionalAttr) + func DenseToDenseSetOperationValidateIndices(value bool) DenseToDenseSetOperationAttr + type DenseToSparseSetOperationAttr func(optionalAttr) + func DenseToSparseSetOperationValidateIndices(value bool) DenseToSparseSetOperationAttr + type DepthToSpaceAttr func(optionalAttr) + func DepthToSpaceDataFormat(value string) DepthToSpaceAttr + type DepthwiseConv2dNativeAttr func(optionalAttr) + func DepthwiseConv2dNativeDataFormat(value string) DepthwiseConv2dNativeAttr + func DepthwiseConv2dNativeDilations(value []int64) DepthwiseConv2dNativeAttr + func DepthwiseConv2dNativeExplicitPaddings(value []int64) DepthwiseConv2dNativeAttr + type DepthwiseConv2dNativeBackpropFilterAttr func(optionalAttr) + func DepthwiseConv2dNativeBackpropFilterDataFormat(value string) DepthwiseConv2dNativeBackpropFilterAttr + func DepthwiseConv2dNativeBackpropFilterDilations(value []int64) DepthwiseConv2dNativeBackpropFilterAttr + func DepthwiseConv2dNativeBackpropFilterExplicitPaddings(value []int64) DepthwiseConv2dNativeBackpropFilterAttr + type DepthwiseConv2dNativeBackpropInputAttr func(optionalAttr) + func DepthwiseConv2dNativeBackpropInputDataFormat(value string) DepthwiseConv2dNativeBackpropInputAttr + func DepthwiseConv2dNativeBackpropInputDilations(value []int64) DepthwiseConv2dNativeBackpropInputAttr + func DepthwiseConv2dNativeBackpropInputExplicitPaddings(value []int64) DepthwiseConv2dNativeBackpropInputAttr + type DequantizeAttr func(optionalAttr) + func DequantizeAxis(value int64) DequantizeAttr + func DequantizeDtype(value tf.DataType) DequantizeAttr + func DequantizeMode(value string) DequantizeAttr + func DequantizeNarrowRange(value bool) DequantizeAttr + type DestroyResourceOpAttr func(optionalAttr) + func DestroyResourceOpIgnoreLookupError(value bool) DestroyResourceOpAttr + type DirectedInterleaveDatasetAttr func(optionalAttr) + func DirectedInterleaveDatasetStopOnEmptyDataset(value bool) DirectedInterleaveDatasetAttr + type DynamicEnqueueTPUEmbeddingArbitraryTensorBatchAttr func(optionalAttr) + func DynamicEnqueueTPUEmbeddingArbitraryTensorBatchCombiners(value []string) DynamicEnqueueTPUEmbeddingArbitraryTensorBatchAttr + type EagerPyFuncAttr func(optionalAttr) + func EagerPyFuncIsAsync(value bool) EagerPyFuncAttr + type EditDistanceAttr func(optionalAttr) + func EditDistanceNormalize(value bool) EditDistanceAttr + type EigAttr func(optionalAttr) + func EigComputeV(value bool) EigAttr + type EmptyAttr func(optionalAttr) + func EmptyInit(value bool) EmptyAttr + type EncodeBase64Attr func(optionalAttr) + func EncodeBase64Pad(value bool) EncodeBase64Attr + type EncodeJpegAttr func(optionalAttr) + func EncodeJpegChromaDownsampling(value bool) EncodeJpegAttr + func EncodeJpegDensityUnit(value string) EncodeJpegAttr + func EncodeJpegFormat(value string) EncodeJpegAttr + func EncodeJpegOptimizeSize(value bool) EncodeJpegAttr + func EncodeJpegProgressive(value bool) EncodeJpegAttr + func EncodeJpegQuality(value int64) EncodeJpegAttr + func EncodeJpegXDensity(value int64) EncodeJpegAttr + func EncodeJpegXmpMetadata(value string) EncodeJpegAttr + func EncodeJpegYDensity(value int64) EncodeJpegAttr + type EncodePngAttr func(optionalAttr) + func EncodePngCompression(value int64) EncodePngAttr + type EncodeProtoAttr func(optionalAttr) + func EncodeProtoDescriptorSource(value string) EncodeProtoAttr + type EnqueueTPUEmbeddingArbitraryTensorBatchAttr func(optionalAttr) + func EnqueueTPUEmbeddingArbitraryTensorBatchCombiners(value []string) EnqueueTPUEmbeddingArbitraryTensorBatchAttr + func EnqueueTPUEmbeddingArbitraryTensorBatchDeviceOrdinal(value int64) EnqueueTPUEmbeddingArbitraryTensorBatchAttr + type EnqueueTPUEmbeddingIntegerBatchAttr func(optionalAttr) + func EnqueueTPUEmbeddingIntegerBatchDeviceOrdinal(value int64) EnqueueTPUEmbeddingIntegerBatchAttr + type EnqueueTPUEmbeddingRaggedTensorBatchAttr func(optionalAttr) + func EnqueueTPUEmbeddingRaggedTensorBatchCombiners(value []string) EnqueueTPUEmbeddingRaggedTensorBatchAttr + func EnqueueTPUEmbeddingRaggedTensorBatchDeviceOrdinal(value int64) EnqueueTPUEmbeddingRaggedTensorBatchAttr + func EnqueueTPUEmbeddingRaggedTensorBatchMaxSequenceLengths(value []int64) EnqueueTPUEmbeddingRaggedTensorBatchAttr + func EnqueueTPUEmbeddingRaggedTensorBatchNumFeatures(value []int64) EnqueueTPUEmbeddingRaggedTensorBatchAttr + type EnqueueTPUEmbeddingSparseBatchAttr func(optionalAttr) + func EnqueueTPUEmbeddingSparseBatchCombiners(value []string) EnqueueTPUEmbeddingSparseBatchAttr + func EnqueueTPUEmbeddingSparseBatchDeviceOrdinal(value int64) EnqueueTPUEmbeddingSparseBatchAttr + type EnqueueTPUEmbeddingSparseTensorBatchAttr func(optionalAttr) + func EnqueueTPUEmbeddingSparseTensorBatchCombiners(value []string) EnqueueTPUEmbeddingSparseTensorBatchAttr + func EnqueueTPUEmbeddingSparseTensorBatchDeviceOrdinal(value int64) EnqueueTPUEmbeddingSparseTensorBatchAttr + func EnqueueTPUEmbeddingSparseTensorBatchMaxSequenceLengths(value []int64) EnqueueTPUEmbeddingSparseTensorBatchAttr + func EnqueueTPUEmbeddingSparseTensorBatchNumFeatures(value []int64) EnqueueTPUEmbeddingSparseTensorBatchAttr + type EnterAttr func(optionalAttr) + func EnterIsConstant(value bool) EnterAttr + func EnterParallelIterations(value int64) EnterAttr + type EqualAttr func(optionalAttr) + func EqualIncompatibleShapeError(value bool) EqualAttr + type EuclideanNormAttr func(optionalAttr) + func EuclideanNormKeepDims(value bool) EuclideanNormAttr + type ExperimentalAutoShardDatasetAttr func(optionalAttr) + func ExperimentalAutoShardDatasetAutoShardPolicy(value int64) ExperimentalAutoShardDatasetAttr + type ExperimentalIgnoreErrorsDatasetAttr func(optionalAttr) + func ExperimentalIgnoreErrorsDatasetLogWarning(value bool) ExperimentalIgnoreErrorsDatasetAttr + type ExperimentalParseExampleDatasetAttr func(optionalAttr) + func ExperimentalParseExampleDatasetSloppy(value bool) ExperimentalParseExampleDatasetAttr + type ExperimentalRebatchDatasetAttr func(optionalAttr) + func ExperimentalRebatchDatasetUseFallback(value bool) ExperimentalRebatchDatasetAttr + type ExperimentalStatsAggregatorHandleAttr func(optionalAttr) + func ExperimentalStatsAggregatorHandleContainer(value string) ExperimentalStatsAggregatorHandleAttr + func ExperimentalStatsAggregatorHandleSharedName(value string) ExperimentalStatsAggregatorHandleAttr + type ExperimentalThreadPoolHandleAttr func(optionalAttr) + func ExperimentalThreadPoolHandleContainer(value string) ExperimentalThreadPoolHandleAttr + func ExperimentalThreadPoolHandleMaxIntraOpParallelism(value int64) ExperimentalThreadPoolHandleAttr + func ExperimentalThreadPoolHandleSharedName(value string) ExperimentalThreadPoolHandleAttr + type ExtractGlimpseAttr func(optionalAttr) + func ExtractGlimpseCentered(value bool) ExtractGlimpseAttr + func ExtractGlimpseNoise(value string) ExtractGlimpseAttr + func ExtractGlimpseNormalized(value bool) ExtractGlimpseAttr + func ExtractGlimpseUniformNoise(value bool) ExtractGlimpseAttr + type ExtractGlimpseV2Attr func(optionalAttr) + func ExtractGlimpseV2Centered(value bool) ExtractGlimpseV2Attr + func ExtractGlimpseV2Noise(value string) ExtractGlimpseV2Attr + func ExtractGlimpseV2Normalized(value bool) ExtractGlimpseV2Attr + func ExtractGlimpseV2UniformNoise(value bool) ExtractGlimpseV2Attr + type ExtractJpegShapeAttr func(optionalAttr) + func ExtractJpegShapeOutputType(value tf.DataType) ExtractJpegShapeAttr + type FIFOQueueV2Attr func(optionalAttr) + func FIFOQueueV2Capacity(value int64) FIFOQueueV2Attr + func FIFOQueueV2Container(value string) FIFOQueueV2Attr + func FIFOQueueV2Shapes(value []tf.Shape) FIFOQueueV2Attr + func FIFOQueueV2SharedName(value string) FIFOQueueV2Attr + type FakeQuantWithMinMaxArgsAttr func(optionalAttr) + func FakeQuantWithMinMaxArgsMax(value float32) FakeQuantWithMinMaxArgsAttr + func FakeQuantWithMinMaxArgsMin(value float32) FakeQuantWithMinMaxArgsAttr + func FakeQuantWithMinMaxArgsNarrowRange(value bool) FakeQuantWithMinMaxArgsAttr + func FakeQuantWithMinMaxArgsNumBits(value int64) FakeQuantWithMinMaxArgsAttr + type FakeQuantWithMinMaxArgsGradientAttr func(optionalAttr) + func FakeQuantWithMinMaxArgsGradientMax(value float32) FakeQuantWithMinMaxArgsGradientAttr + func FakeQuantWithMinMaxArgsGradientMin(value float32) FakeQuantWithMinMaxArgsGradientAttr + func FakeQuantWithMinMaxArgsGradientNarrowRange(value bool) FakeQuantWithMinMaxArgsGradientAttr + func FakeQuantWithMinMaxArgsGradientNumBits(value int64) FakeQuantWithMinMaxArgsGradientAttr + type FakeQuantWithMinMaxVarsAttr func(optionalAttr) + func FakeQuantWithMinMaxVarsNarrowRange(value bool) FakeQuantWithMinMaxVarsAttr + func FakeQuantWithMinMaxVarsNumBits(value int64) FakeQuantWithMinMaxVarsAttr + type FakeQuantWithMinMaxVarsGradientAttr func(optionalAttr) + func FakeQuantWithMinMaxVarsGradientNarrowRange(value bool) FakeQuantWithMinMaxVarsGradientAttr + func FakeQuantWithMinMaxVarsGradientNumBits(value int64) FakeQuantWithMinMaxVarsGradientAttr + type FakeQuantWithMinMaxVarsPerChannelAttr func(optionalAttr) + func FakeQuantWithMinMaxVarsPerChannelNarrowRange(value bool) FakeQuantWithMinMaxVarsPerChannelAttr + func FakeQuantWithMinMaxVarsPerChannelNumBits(value int64) FakeQuantWithMinMaxVarsPerChannelAttr + type FakeQuantWithMinMaxVarsPerChannelGradientAttr func(optionalAttr) + func FakeQuantWithMinMaxVarsPerChannelGradientNarrowRange(value bool) FakeQuantWithMinMaxVarsPerChannelGradientAttr + func FakeQuantWithMinMaxVarsPerChannelGradientNumBits(value int64) FakeQuantWithMinMaxVarsPerChannelGradientAttr + type FinalizeDatasetAttr func(optionalAttr) + func FinalizeDatasetHasCapturedRef(value bool) FinalizeDatasetAttr + type FixedLengthRecordDatasetAttr func(optionalAttr) + func FixedLengthRecordDatasetMetadata(value string) FixedLengthRecordDatasetAttr + type FixedLengthRecordReaderV2Attr func(optionalAttr) + func FixedLengthRecordReaderV2Container(value string) FixedLengthRecordReaderV2Attr + func FixedLengthRecordReaderV2Encoding(value string) FixedLengthRecordReaderV2Attr + func FixedLengthRecordReaderV2FooterBytes(value int64) FixedLengthRecordReaderV2Attr + func FixedLengthRecordReaderV2HeaderBytes(value int64) FixedLengthRecordReaderV2Attr + func FixedLengthRecordReaderV2HopBytes(value int64) FixedLengthRecordReaderV2Attr + func FixedLengthRecordReaderV2SharedName(value string) FixedLengthRecordReaderV2Attr + type FixedUnigramCandidateSamplerAttr func(optionalAttr) + func FixedUnigramCandidateSamplerDistortion(value float32) FixedUnigramCandidateSamplerAttr + func FixedUnigramCandidateSamplerNumReservedIds(value int64) FixedUnigramCandidateSamplerAttr + func FixedUnigramCandidateSamplerNumShards(value int64) FixedUnigramCandidateSamplerAttr + func FixedUnigramCandidateSamplerSeed(value int64) FixedUnigramCandidateSamplerAttr + func FixedUnigramCandidateSamplerSeed2(value int64) FixedUnigramCandidateSamplerAttr + func FixedUnigramCandidateSamplerShard(value int64) FixedUnigramCandidateSamplerAttr + func FixedUnigramCandidateSamplerUnigrams(value []float32) FixedUnigramCandidateSamplerAttr + func FixedUnigramCandidateSamplerVocabFile(value string) FixedUnigramCandidateSamplerAttr + type FractionalAvgPoolAttr func(optionalAttr) + func FractionalAvgPoolDeterministic(value bool) FractionalAvgPoolAttr + func FractionalAvgPoolOverlapping(value bool) FractionalAvgPoolAttr + func FractionalAvgPoolPseudoRandom(value bool) FractionalAvgPoolAttr + func FractionalAvgPoolSeed(value int64) FractionalAvgPoolAttr + func FractionalAvgPoolSeed2(value int64) FractionalAvgPoolAttr + type FractionalAvgPoolGradAttr func(optionalAttr) + func FractionalAvgPoolGradOverlapping(value bool) FractionalAvgPoolGradAttr + type FractionalMaxPoolAttr func(optionalAttr) + func FractionalMaxPoolDeterministic(value bool) FractionalMaxPoolAttr + func FractionalMaxPoolOverlapping(value bool) FractionalMaxPoolAttr + func FractionalMaxPoolPseudoRandom(value bool) FractionalMaxPoolAttr + func FractionalMaxPoolSeed(value int64) FractionalMaxPoolAttr + func FractionalMaxPoolSeed2(value int64) FractionalMaxPoolAttr + type FractionalMaxPoolGradAttr func(optionalAttr) + func FractionalMaxPoolGradOverlapping(value bool) FractionalMaxPoolGradAttr + type FusedBatchNormAttr func(optionalAttr) + func FusedBatchNormDataFormat(value string) FusedBatchNormAttr + func FusedBatchNormEpsilon(value float32) FusedBatchNormAttr + func FusedBatchNormExponentialAvgFactor(value float32) FusedBatchNormAttr + func FusedBatchNormIsTraining(value bool) FusedBatchNormAttr + type FusedBatchNormGradAttr func(optionalAttr) + func FusedBatchNormGradDataFormat(value string) FusedBatchNormGradAttr + func FusedBatchNormGradEpsilon(value float32) FusedBatchNormGradAttr + func FusedBatchNormGradIsTraining(value bool) FusedBatchNormGradAttr + type FusedBatchNormGradV2Attr func(optionalAttr) + func FusedBatchNormGradV2DataFormat(value string) FusedBatchNormGradV2Attr + func FusedBatchNormGradV2Epsilon(value float32) FusedBatchNormGradV2Attr + func FusedBatchNormGradV2IsTraining(value bool) FusedBatchNormGradV2Attr + type FusedBatchNormGradV3Attr func(optionalAttr) + func FusedBatchNormGradV3DataFormat(value string) FusedBatchNormGradV3Attr + func FusedBatchNormGradV3Epsilon(value float32) FusedBatchNormGradV3Attr + func FusedBatchNormGradV3IsTraining(value bool) FusedBatchNormGradV3Attr + type FusedBatchNormV2Attr func(optionalAttr) + func FusedBatchNormV2DataFormat(value string) FusedBatchNormV2Attr + func FusedBatchNormV2Epsilon(value float32) FusedBatchNormV2Attr + func FusedBatchNormV2ExponentialAvgFactor(value float32) FusedBatchNormV2Attr + func FusedBatchNormV2IsTraining(value bool) FusedBatchNormV2Attr + type FusedBatchNormV3Attr func(optionalAttr) + func FusedBatchNormV3DataFormat(value string) FusedBatchNormV3Attr + func FusedBatchNormV3Epsilon(value float32) FusedBatchNormV3Attr + func FusedBatchNormV3ExponentialAvgFactor(value float32) FusedBatchNormV3Attr + func FusedBatchNormV3IsTraining(value bool) FusedBatchNormV3Attr + type FusedResizeAndPadConv2DAttr func(optionalAttr) + func FusedResizeAndPadConv2DResizeAlignCorners(value bool) FusedResizeAndPadConv2DAttr + type GatherAttr func(optionalAttr) + func GatherValidateIndices(value bool) GatherAttr + type GatherV2Attr func(optionalAttr) + func GatherV2BatchDims(value int64) GatherV2Attr + type GenerateBoundingBoxProposalsAttr func(optionalAttr) + func GenerateBoundingBoxProposalsPostNmsTopn(value int64) GenerateBoundingBoxProposalsAttr + type GenerateVocabRemappingAttr func(optionalAttr) + func GenerateVocabRemappingOldVocabSize(value int64) GenerateVocabRemappingAttr + type HashTableV2Attr func(optionalAttr) + func HashTableV2Container(value string) HashTableV2Attr + func HashTableV2SharedName(value string) HashTableV2Attr + func HashTableV2UseNodeNameSharing(value bool) HashTableV2Attr + type HistogramFixedWidthAttr func(optionalAttr) + func HistogramFixedWidthDtype(value tf.DataType) HistogramFixedWidthAttr + type IRFFT2DAttr func(optionalAttr) + func IRFFT2DTreal(value tf.DataType) IRFFT2DAttr + type IRFFT3DAttr func(optionalAttr) + func IRFFT3DTreal(value tf.DataType) IRFFT3DAttr + type IRFFTAttr func(optionalAttr) + func IRFFTTreal(value tf.DataType) IRFFTAttr + type IdentityReaderV2Attr func(optionalAttr) + func IdentityReaderV2Container(value string) IdentityReaderV2Attr + func IdentityReaderV2SharedName(value string) IdentityReaderV2Attr + type IgnoreErrorsDatasetAttr func(optionalAttr) + func IgnoreErrorsDatasetLogWarning(value bool) IgnoreErrorsDatasetAttr + type ImagAttr func(optionalAttr) + func ImagTout(value tf.DataType) ImagAttr + type ImageProjectiveTransformV2Attr func(optionalAttr) + func ImageProjectiveTransformV2FillMode(value string) ImageProjectiveTransformV2Attr + type ImageProjectiveTransformV3Attr func(optionalAttr) + func ImageProjectiveTransformV3FillMode(value string) ImageProjectiveTransformV3Attr + type ImageSummaryAttr func(optionalAttr) + func ImageSummaryBadColor(value tf.Tensor) ImageSummaryAttr + func ImageSummaryMaxImages(value int64) ImageSummaryAttr + type InfeedEnqueueAttr func(optionalAttr) + func InfeedEnqueueDeviceOrdinal(value int64) InfeedEnqueueAttr + func InfeedEnqueueLayout(value []int64) InfeedEnqueueAttr + func InfeedEnqueueShape(value tf.Shape) InfeedEnqueueAttr + type InfeedEnqueuePrelinearizedBufferAttr func(optionalAttr) + func InfeedEnqueuePrelinearizedBufferDeviceOrdinal(value int64) InfeedEnqueuePrelinearizedBufferAttr + type InfeedEnqueueTupleAttr func(optionalAttr) + func InfeedEnqueueTupleDeviceOrdinal(value int64) InfeedEnqueueTupleAttr + func InfeedEnqueueTupleLayouts(value []int64) InfeedEnqueueTupleAttr + type InitializeTableFromTextFileV2Attr func(optionalAttr) + func InitializeTableFromTextFileV2Delimiter(value string) InitializeTableFromTextFileV2Attr + func InitializeTableFromTextFileV2Offset(value int64) InitializeTableFromTextFileV2Attr + func InitializeTableFromTextFileV2VocabSize(value int64) InitializeTableFromTextFileV2Attr + type IsTPUEmbeddingInitializedAttr func(optionalAttr) + func IsTPUEmbeddingInitializedConfig(value string) IsTPUEmbeddingInitializedAttr + type IsotonicRegressionAttr func(optionalAttr) + func IsotonicRegressionOutputDtype(value tf.DataType) IsotonicRegressionAttr + type IteratorFromStringHandleAttr func(optionalAttr) + func IteratorFromStringHandleOutputShapes(value []tf.Shape) IteratorFromStringHandleAttr + func IteratorFromStringHandleOutputTypes(value []tf.DataType) IteratorFromStringHandleAttr + type LRNAttr func(optionalAttr) + func LRNAlpha(value float32) LRNAttr + func LRNBeta(value float32) LRNAttr + func LRNBias(value float32) LRNAttr + func LRNDepthRadius(value int64) LRNAttr + type LRNGradAttr func(optionalAttr) + func LRNGradAlpha(value float32) LRNGradAttr + func LRNGradBeta(value float32) LRNGradAttr + func LRNGradBias(value float32) LRNGradAttr + func LRNGradDepthRadius(value int64) LRNGradAttr + type LSTMBlockCellAttr func(optionalAttr) + func LSTMBlockCellCellClip(value float32) LSTMBlockCellAttr + func LSTMBlockCellForgetBias(value float32) LSTMBlockCellAttr + func LSTMBlockCellUsePeephole(value bool) LSTMBlockCellAttr + type LeakyReluAttr func(optionalAttr) + func LeakyReluAlpha(value float32) LeakyReluAttr + type LeakyReluGradAttr func(optionalAttr) + func LeakyReluGradAlpha(value float32) LeakyReluGradAttr + type LearnedUnigramCandidateSamplerAttr func(optionalAttr) + func LearnedUnigramCandidateSamplerSeed(value int64) LearnedUnigramCandidateSamplerAttr + func LearnedUnigramCandidateSamplerSeed2(value int64) LearnedUnigramCandidateSamplerAttr + type ListDiffAttr func(optionalAttr) + func ListDiffOutIdx(value tf.DataType) ListDiffAttr + type LoadAndRemapMatrixAttr func(optionalAttr) + func LoadAndRemapMatrixMaxRowsInMemory(value int64) LoadAndRemapMatrixAttr + type LoadTPUEmbeddingADAMParametersAttr func(optionalAttr) + func LoadTPUEmbeddingADAMParametersConfig(value string) LoadTPUEmbeddingADAMParametersAttr + func LoadTPUEmbeddingADAMParametersTableId(value int64) LoadTPUEmbeddingADAMParametersAttr + func LoadTPUEmbeddingADAMParametersTableName(value string) LoadTPUEmbeddingADAMParametersAttr + type LoadTPUEmbeddingAdadeltaParametersAttr func(optionalAttr) + func LoadTPUEmbeddingAdadeltaParametersConfig(value string) LoadTPUEmbeddingAdadeltaParametersAttr + func LoadTPUEmbeddingAdadeltaParametersTableId(value int64) LoadTPUEmbeddingAdadeltaParametersAttr + func LoadTPUEmbeddingAdadeltaParametersTableName(value string) LoadTPUEmbeddingAdadeltaParametersAttr + type LoadTPUEmbeddingAdagradMomentumParametersAttr func(optionalAttr) + func LoadTPUEmbeddingAdagradMomentumParametersConfig(value string) LoadTPUEmbeddingAdagradMomentumParametersAttr + func LoadTPUEmbeddingAdagradMomentumParametersTableId(value int64) LoadTPUEmbeddingAdagradMomentumParametersAttr + func LoadTPUEmbeddingAdagradMomentumParametersTableName(value string) LoadTPUEmbeddingAdagradMomentumParametersAttr + type LoadTPUEmbeddingAdagradParametersAttr func(optionalAttr) + func LoadTPUEmbeddingAdagradParametersConfig(value string) LoadTPUEmbeddingAdagradParametersAttr + func LoadTPUEmbeddingAdagradParametersTableId(value int64) LoadTPUEmbeddingAdagradParametersAttr + func LoadTPUEmbeddingAdagradParametersTableName(value string) LoadTPUEmbeddingAdagradParametersAttr + type LoadTPUEmbeddingCenteredRMSPropParametersAttr func(optionalAttr) + func LoadTPUEmbeddingCenteredRMSPropParametersConfig(value string) LoadTPUEmbeddingCenteredRMSPropParametersAttr + func LoadTPUEmbeddingCenteredRMSPropParametersTableId(value int64) LoadTPUEmbeddingCenteredRMSPropParametersAttr + func LoadTPUEmbeddingCenteredRMSPropParametersTableName(value string) LoadTPUEmbeddingCenteredRMSPropParametersAttr + type LoadTPUEmbeddingFTRLParametersAttr func(optionalAttr) + func LoadTPUEmbeddingFTRLParametersConfig(value string) LoadTPUEmbeddingFTRLParametersAttr + func LoadTPUEmbeddingFTRLParametersTableId(value int64) LoadTPUEmbeddingFTRLParametersAttr + func LoadTPUEmbeddingFTRLParametersTableName(value string) LoadTPUEmbeddingFTRLParametersAttr + type LoadTPUEmbeddingFrequencyEstimatorParametersAttr func(optionalAttr) + func LoadTPUEmbeddingFrequencyEstimatorParametersConfig(value string) LoadTPUEmbeddingFrequencyEstimatorParametersAttr + func LoadTPUEmbeddingFrequencyEstimatorParametersTableId(value int64) LoadTPUEmbeddingFrequencyEstimatorParametersAttr + func LoadTPUEmbeddingFrequencyEstimatorParametersTableName(value string) LoadTPUEmbeddingFrequencyEstimatorParametersAttr + type LoadTPUEmbeddingMDLAdagradLightParametersAttr func(optionalAttr) + func LoadTPUEmbeddingMDLAdagradLightParametersConfig(value string) LoadTPUEmbeddingMDLAdagradLightParametersAttr + func LoadTPUEmbeddingMDLAdagradLightParametersTableId(value int64) LoadTPUEmbeddingMDLAdagradLightParametersAttr + func LoadTPUEmbeddingMDLAdagradLightParametersTableName(value string) LoadTPUEmbeddingMDLAdagradLightParametersAttr + type LoadTPUEmbeddingMomentumParametersAttr func(optionalAttr) + func LoadTPUEmbeddingMomentumParametersConfig(value string) LoadTPUEmbeddingMomentumParametersAttr + func LoadTPUEmbeddingMomentumParametersTableId(value int64) LoadTPUEmbeddingMomentumParametersAttr + func LoadTPUEmbeddingMomentumParametersTableName(value string) LoadTPUEmbeddingMomentumParametersAttr + type LoadTPUEmbeddingProximalAdagradParametersAttr func(optionalAttr) + func LoadTPUEmbeddingProximalAdagradParametersConfig(value string) LoadTPUEmbeddingProximalAdagradParametersAttr + func LoadTPUEmbeddingProximalAdagradParametersTableId(value int64) LoadTPUEmbeddingProximalAdagradParametersAttr + func LoadTPUEmbeddingProximalAdagradParametersTableName(value string) LoadTPUEmbeddingProximalAdagradParametersAttr + type LoadTPUEmbeddingRMSPropParametersAttr func(optionalAttr) + func LoadTPUEmbeddingRMSPropParametersConfig(value string) LoadTPUEmbeddingRMSPropParametersAttr + func LoadTPUEmbeddingRMSPropParametersTableId(value int64) LoadTPUEmbeddingRMSPropParametersAttr + func LoadTPUEmbeddingRMSPropParametersTableName(value string) LoadTPUEmbeddingRMSPropParametersAttr + type LoadTPUEmbeddingStochasticGradientDescentParametersAttr func(optionalAttr) + func LoadTPUEmbeddingStochasticGradientDescentParametersConfig(value string) LoadTPUEmbeddingStochasticGradientDescentParametersAttr + func LoadTPUEmbeddingStochasticGradientDescentParametersTableId(value int64) LoadTPUEmbeddingStochasticGradientDescentParametersAttr + func LoadTPUEmbeddingStochasticGradientDescentParametersTableName(value string) LoadTPUEmbeddingStochasticGradientDescentParametersAttr + type LogUniformCandidateSamplerAttr func(optionalAttr) + func LogUniformCandidateSamplerSeed(value int64) LogUniformCandidateSamplerAttr + func LogUniformCandidateSamplerSeed2(value int64) LogUniformCandidateSamplerAttr + type LowerBoundAttr func(optionalAttr) + func LowerBoundOutType(value tf.DataType) LowerBoundAttr + type LuAttr func(optionalAttr) + func LuOutputIdxType(value tf.DataType) LuAttr + type MapClearAttr func(optionalAttr) + func MapClearCapacity(value int64) MapClearAttr + func MapClearContainer(value string) MapClearAttr + func MapClearMemoryLimit(value int64) MapClearAttr + func MapClearSharedName(value string) MapClearAttr + type MapIncompleteSizeAttr func(optionalAttr) + func MapIncompleteSizeCapacity(value int64) MapIncompleteSizeAttr + func MapIncompleteSizeContainer(value string) MapIncompleteSizeAttr + func MapIncompleteSizeMemoryLimit(value int64) MapIncompleteSizeAttr + func MapIncompleteSizeSharedName(value string) MapIncompleteSizeAttr + type MapPeekAttr func(optionalAttr) + func MapPeekCapacity(value int64) MapPeekAttr + func MapPeekContainer(value string) MapPeekAttr + func MapPeekMemoryLimit(value int64) MapPeekAttr + func MapPeekSharedName(value string) MapPeekAttr + type MapSizeAttr func(optionalAttr) + func MapSizeCapacity(value int64) MapSizeAttr + func MapSizeContainer(value string) MapSizeAttr + func MapSizeMemoryLimit(value int64) MapSizeAttr + func MapSizeSharedName(value string) MapSizeAttr + type MapStageAttr func(optionalAttr) + func MapStageCapacity(value int64) MapStageAttr + func MapStageContainer(value string) MapStageAttr + func MapStageMemoryLimit(value int64) MapStageAttr + func MapStageSharedName(value string) MapStageAttr + type MapUnstageAttr func(optionalAttr) + func MapUnstageCapacity(value int64) MapUnstageAttr + func MapUnstageContainer(value string) MapUnstageAttr + func MapUnstageMemoryLimit(value int64) MapUnstageAttr + func MapUnstageSharedName(value string) MapUnstageAttr + type MapUnstageNoKeyAttr func(optionalAttr) + func MapUnstageNoKeyCapacity(value int64) MapUnstageNoKeyAttr + func MapUnstageNoKeyContainer(value string) MapUnstageNoKeyAttr + func MapUnstageNoKeyMemoryLimit(value int64) MapUnstageNoKeyAttr + func MapUnstageNoKeySharedName(value string) MapUnstageNoKeyAttr + type MatMulAttr func(optionalAttr) + func MatMulTransposeA(value bool) MatMulAttr + func MatMulTransposeB(value bool) MatMulAttr + type MatrixDiagPartV3Attr func(optionalAttr) + func MatrixDiagPartV3Align(value string) MatrixDiagPartV3Attr + type MatrixDiagV3Attr func(optionalAttr) + func MatrixDiagV3Align(value string) MatrixDiagV3Attr + type MatrixInverseAttr func(optionalAttr) + func MatrixInverseAdjoint(value bool) MatrixInverseAttr + type MatrixSetDiagV3Attr func(optionalAttr) + func MatrixSetDiagV3Align(value string) MatrixSetDiagV3Attr + type MatrixSolveAttr func(optionalAttr) + func MatrixSolveAdjoint(value bool) MatrixSolveAttr + type MatrixSolveLsAttr func(optionalAttr) + func MatrixSolveLsFast(value bool) MatrixSolveLsAttr + type MatrixTriangularSolveAttr func(optionalAttr) + func MatrixTriangularSolveAdjoint(value bool) MatrixTriangularSolveAttr + func MatrixTriangularSolveLower(value bool) MatrixTriangularSolveAttr + type MaxAttr func(optionalAttr) + func MaxKeepDims(value bool) MaxAttr + type MaxPool3DAttr func(optionalAttr) + func MaxPool3DDataFormat(value string) MaxPool3DAttr + type MaxPool3DGradAttr func(optionalAttr) + func MaxPool3DGradDataFormat(value string) MaxPool3DGradAttr + type MaxPool3DGradGradAttr func(optionalAttr) + func MaxPool3DGradGradDataFormat(value string) MaxPool3DGradGradAttr + type MaxPoolAttr func(optionalAttr) + func MaxPoolDataFormat(value string) MaxPoolAttr + func MaxPoolExplicitPaddings(value []int64) MaxPoolAttr + type MaxPoolGradAttr func(optionalAttr) + func MaxPoolGradDataFormat(value string) MaxPoolGradAttr + func MaxPoolGradExplicitPaddings(value []int64) MaxPoolGradAttr + type MaxPoolGradGradAttr func(optionalAttr) + func MaxPoolGradGradDataFormat(value string) MaxPoolGradGradAttr + type MaxPoolGradGradV2Attr func(optionalAttr) + func MaxPoolGradGradV2DataFormat(value string) MaxPoolGradGradV2Attr + type MaxPoolGradGradWithArgmaxAttr func(optionalAttr) + func MaxPoolGradGradWithArgmaxIncludeBatchInIndex(value bool) MaxPoolGradGradWithArgmaxAttr + type MaxPoolGradV2Attr func(optionalAttr) + func MaxPoolGradV2DataFormat(value string) MaxPoolGradV2Attr + type MaxPoolGradWithArgmaxAttr func(optionalAttr) + func MaxPoolGradWithArgmaxIncludeBatchInIndex(value bool) MaxPoolGradWithArgmaxAttr + type MaxPoolV2Attr func(optionalAttr) + func MaxPoolV2DataFormat(value string) MaxPoolV2Attr + type MaxPoolWithArgmaxAttr func(optionalAttr) + func MaxPoolWithArgmaxIncludeBatchInIndex(value bool) MaxPoolWithArgmaxAttr + func MaxPoolWithArgmaxTargmax(value tf.DataType) MaxPoolWithArgmaxAttr + type MeanAttr func(optionalAttr) + func MeanKeepDims(value bool) MeanAttr + type MergeV2CheckpointsAttr func(optionalAttr) + func MergeV2CheckpointsDeleteOldDirs(value bool) MergeV2CheckpointsAttr + type MfccAttr func(optionalAttr) + func MfccDctCoefficientCount(value int64) MfccAttr + func MfccFilterbankChannelCount(value int64) MfccAttr + func MfccLowerFrequencyLimit(value float32) MfccAttr + func MfccUpperFrequencyLimit(value float32) MfccAttr + type MinAttr func(optionalAttr) + func MinKeepDims(value bool) MinAttr + type ModelDatasetAttr func(optionalAttr) + func ModelDatasetAlgorithm(value int64) ModelDatasetAttr + func ModelDatasetCpuBudget(value int64) ModelDatasetAttr + func ModelDatasetRamBudget(value int64) ModelDatasetAttr + type MultiDeviceIteratorFromStringHandleAttr func(optionalAttr) + func MultiDeviceIteratorFromStringHandleOutputShapes(value []tf.Shape) MultiDeviceIteratorFromStringHandleAttr + func MultiDeviceIteratorFromStringHandleOutputTypes(value []tf.DataType) MultiDeviceIteratorFromStringHandleAttr + type MultinomialAttr func(optionalAttr) + func MultinomialOutputDtype(value tf.DataType) MultinomialAttr + func MultinomialSeed(value int64) MultinomialAttr + func MultinomialSeed2(value int64) MultinomialAttr + type MutableDenseHashTableV2Attr func(optionalAttr) + func MutableDenseHashTableV2Container(value string) MutableDenseHashTableV2Attr + func MutableDenseHashTableV2InitialNumBuckets(value int64) MutableDenseHashTableV2Attr + func MutableDenseHashTableV2MaxLoadFactor(value float32) MutableDenseHashTableV2Attr + func MutableDenseHashTableV2SharedName(value string) MutableDenseHashTableV2Attr + func MutableDenseHashTableV2UseNodeNameSharing(value bool) MutableDenseHashTableV2Attr + func MutableDenseHashTableV2ValueShape(value tf.Shape) MutableDenseHashTableV2Attr + type MutableHashTableOfTensorsV2Attr func(optionalAttr) + func MutableHashTableOfTensorsV2Container(value string) MutableHashTableOfTensorsV2Attr + func MutableHashTableOfTensorsV2SharedName(value string) MutableHashTableOfTensorsV2Attr + func MutableHashTableOfTensorsV2UseNodeNameSharing(value bool) MutableHashTableOfTensorsV2Attr + func MutableHashTableOfTensorsV2ValueShape(value tf.Shape) MutableHashTableOfTensorsV2Attr + type MutableHashTableV2Attr func(optionalAttr) + func MutableHashTableV2Container(value string) MutableHashTableV2Attr + func MutableHashTableV2SharedName(value string) MutableHashTableV2Attr + func MutableHashTableV2UseNodeNameSharing(value bool) MutableHashTableV2Attr + type MutexV2Attr func(optionalAttr) + func MutexV2Container(value string) MutexV2Attr + func MutexV2SharedName(value string) MutexV2Attr + type NonDeterministicIntsAttr func(optionalAttr) + func NonDeterministicIntsDtype(value tf.DataType) NonDeterministicIntsAttr + type NonMaxSuppressionAttr func(optionalAttr) + func NonMaxSuppressionIouThreshold(value float32) NonMaxSuppressionAttr + type NonMaxSuppressionV4Attr func(optionalAttr) + func NonMaxSuppressionV4PadToMaxOutputSize(value bool) NonMaxSuppressionV4Attr + type NonMaxSuppressionV5Attr func(optionalAttr) + func NonMaxSuppressionV5PadToMaxOutputSize(value bool) NonMaxSuppressionV5Attr + type NotEqualAttr func(optionalAttr) + func NotEqualIncompatibleShapeError(value bool) NotEqualAttr + type NthElementAttr func(optionalAttr) + func NthElementReverse(value bool) NthElementAttr + type OneHotAttr func(optionalAttr) + func OneHotAxis(value int64) OneHotAttr + type OptimizeDatasetAttr func(optionalAttr) + func OptimizeDatasetOptimizationConfigs(value []string) OptimizeDatasetAttr + type OptimizeDatasetV2Attr func(optionalAttr) + func OptimizeDatasetV2OptimizationConfigs(value []string) OptimizeDatasetV2Attr + type OptionsDatasetAttr func(optionalAttr) + func OptionsDatasetMetadata(value string) OptionsDatasetAttr + type OrderedMapClearAttr func(optionalAttr) + func OrderedMapClearCapacity(value int64) OrderedMapClearAttr + func OrderedMapClearContainer(value string) OrderedMapClearAttr + func OrderedMapClearMemoryLimit(value int64) OrderedMapClearAttr + func OrderedMapClearSharedName(value string) OrderedMapClearAttr + type OrderedMapIncompleteSizeAttr func(optionalAttr) + func OrderedMapIncompleteSizeCapacity(value int64) OrderedMapIncompleteSizeAttr + func OrderedMapIncompleteSizeContainer(value string) OrderedMapIncompleteSizeAttr + func OrderedMapIncompleteSizeMemoryLimit(value int64) OrderedMapIncompleteSizeAttr + func OrderedMapIncompleteSizeSharedName(value string) OrderedMapIncompleteSizeAttr + type OrderedMapPeekAttr func(optionalAttr) + func OrderedMapPeekCapacity(value int64) OrderedMapPeekAttr + func OrderedMapPeekContainer(value string) OrderedMapPeekAttr + func OrderedMapPeekMemoryLimit(value int64) OrderedMapPeekAttr + func OrderedMapPeekSharedName(value string) OrderedMapPeekAttr + type OrderedMapSizeAttr func(optionalAttr) + func OrderedMapSizeCapacity(value int64) OrderedMapSizeAttr + func OrderedMapSizeContainer(value string) OrderedMapSizeAttr + func OrderedMapSizeMemoryLimit(value int64) OrderedMapSizeAttr + func OrderedMapSizeSharedName(value string) OrderedMapSizeAttr + type OrderedMapStageAttr func(optionalAttr) + func OrderedMapStageCapacity(value int64) OrderedMapStageAttr + func OrderedMapStageContainer(value string) OrderedMapStageAttr + func OrderedMapStageMemoryLimit(value int64) OrderedMapStageAttr + func OrderedMapStageSharedName(value string) OrderedMapStageAttr + type OrderedMapUnstageAttr func(optionalAttr) + func OrderedMapUnstageCapacity(value int64) OrderedMapUnstageAttr + func OrderedMapUnstageContainer(value string) OrderedMapUnstageAttr + func OrderedMapUnstageMemoryLimit(value int64) OrderedMapUnstageAttr + func OrderedMapUnstageSharedName(value string) OrderedMapUnstageAttr + type OrderedMapUnstageNoKeyAttr func(optionalAttr) + func OrderedMapUnstageNoKeyCapacity(value int64) OrderedMapUnstageNoKeyAttr + func OrderedMapUnstageNoKeyContainer(value string) OrderedMapUnstageNoKeyAttr + func OrderedMapUnstageNoKeyMemoryLimit(value int64) OrderedMapUnstageNoKeyAttr + func OrderedMapUnstageNoKeySharedName(value string) OrderedMapUnstageNoKeyAttr + type OutfeedDequeueAttr func(optionalAttr) + func OutfeedDequeueDeviceOrdinal(value int64) OutfeedDequeueAttr + type OutfeedDequeueTupleAttr func(optionalAttr) + func OutfeedDequeueTupleDeviceOrdinal(value int64) OutfeedDequeueTupleAttr + type PackAttr func(optionalAttr) + func PackAxis(value int64) PackAttr + type PaddedBatchDatasetAttr func(optionalAttr) + func PaddedBatchDatasetMetadata(value string) PaddedBatchDatasetAttr + type PaddedBatchDatasetV2Attr func(optionalAttr) + func PaddedBatchDatasetV2Metadata(value string) PaddedBatchDatasetV2Attr + func PaddedBatchDatasetV2ParallelCopy(value bool) PaddedBatchDatasetV2Attr + type PaddingFIFOQueueV2Attr func(optionalAttr) + func PaddingFIFOQueueV2Capacity(value int64) PaddingFIFOQueueV2Attr + func PaddingFIFOQueueV2Container(value string) PaddingFIFOQueueV2Attr + func PaddingFIFOQueueV2Shapes(value []tf.Shape) PaddingFIFOQueueV2Attr + func PaddingFIFOQueueV2SharedName(value string) PaddingFIFOQueueV2Attr + type ParameterizedTruncatedNormalAttr func(optionalAttr) + func ParameterizedTruncatedNormalSeed(value int64) ParameterizedTruncatedNormalAttr + func ParameterizedTruncatedNormalSeed2(value int64) ParameterizedTruncatedNormalAttr + type ParseExampleDatasetAttr func(optionalAttr) + func ParseExampleDatasetRaggedKeys(value []string) ParseExampleDatasetAttr + func ParseExampleDatasetRaggedSplitTypes(value []tf.DataType) ParseExampleDatasetAttr + func ParseExampleDatasetRaggedValueTypes(value []tf.DataType) ParseExampleDatasetAttr + func ParseExampleDatasetSloppy(value bool) ParseExampleDatasetAttr + type ParseExampleDatasetV2Attr func(optionalAttr) + func ParseExampleDatasetV2Deterministic(value string) ParseExampleDatasetV2Attr + func ParseExampleDatasetV2RaggedKeys(value []string) ParseExampleDatasetV2Attr + func ParseExampleDatasetV2RaggedSplitTypes(value []tf.DataType) ParseExampleDatasetV2Attr + func ParseExampleDatasetV2RaggedValueTypes(value []tf.DataType) ParseExampleDatasetV2Attr + type ParseSequenceExampleAttr func(optionalAttr) + func ParseSequenceExampleContextDenseShapes(value []tf.Shape) ParseSequenceExampleAttr + func ParseSequenceExampleContextSparseTypes(value []tf.DataType) ParseSequenceExampleAttr + func ParseSequenceExampleFeatureListDenseShapes(value []tf.Shape) ParseSequenceExampleAttr + func ParseSequenceExampleFeatureListDenseTypes(value []tf.DataType) ParseSequenceExampleAttr + func ParseSequenceExampleFeatureListSparseTypes(value []tf.DataType) ParseSequenceExampleAttr + func ParseSequenceExampleNcontextDense(value int64) ParseSequenceExampleAttr + func ParseSequenceExampleNcontextSparse(value int64) ParseSequenceExampleAttr + func ParseSequenceExampleNfeatureListDense(value int64) ParseSequenceExampleAttr + func ParseSequenceExampleNfeatureListSparse(value int64) ParseSequenceExampleAttr + type ParseSequenceExampleV2Attr func(optionalAttr) + func ParseSequenceExampleV2ContextDenseShapes(value []tf.Shape) ParseSequenceExampleV2Attr + func ParseSequenceExampleV2ContextRaggedSplitTypes(value []tf.DataType) ParseSequenceExampleV2Attr + func ParseSequenceExampleV2ContextRaggedValueTypes(value []tf.DataType) ParseSequenceExampleV2Attr + func ParseSequenceExampleV2ContextSparseTypes(value []tf.DataType) ParseSequenceExampleV2Attr + func ParseSequenceExampleV2FeatureListDenseShapes(value []tf.Shape) ParseSequenceExampleV2Attr + func ParseSequenceExampleV2FeatureListDenseTypes(value []tf.DataType) ParseSequenceExampleV2Attr + func ParseSequenceExampleV2FeatureListRaggedSplitTypes(value []tf.DataType) ParseSequenceExampleV2Attr + func ParseSequenceExampleV2FeatureListRaggedValueTypes(value []tf.DataType) ParseSequenceExampleV2Attr + func ParseSequenceExampleV2FeatureListSparseTypes(value []tf.DataType) ParseSequenceExampleV2Attr + func ParseSequenceExampleV2NcontextSparse(value int64) ParseSequenceExampleV2Attr + func ParseSequenceExampleV2NfeatureListDense(value int64) ParseSequenceExampleV2Attr + func ParseSequenceExampleV2NfeatureListSparse(value int64) ParseSequenceExampleV2Attr + type ParseSingleSequenceExampleAttr func(optionalAttr) + func ParseSingleSequenceExampleContextDenseShapes(value []tf.Shape) ParseSingleSequenceExampleAttr + func ParseSingleSequenceExampleContextSparseTypes(value []tf.DataType) ParseSingleSequenceExampleAttr + func ParseSingleSequenceExampleFeatureListDenseShapes(value []tf.Shape) ParseSingleSequenceExampleAttr + func ParseSingleSequenceExampleFeatureListDenseTypes(value []tf.DataType) ParseSingleSequenceExampleAttr + func ParseSingleSequenceExampleFeatureListSparseTypes(value []tf.DataType) ParseSingleSequenceExampleAttr + type PlaceholderAttr func(optionalAttr) + func PlaceholderShape(value tf.Shape) PlaceholderAttr + type PrefetchDatasetAttr func(optionalAttr) + func PrefetchDatasetBufferSizeMin(value int64) PrefetchDatasetAttr + func PrefetchDatasetLegacyAutotune(value bool) PrefetchDatasetAttr + func PrefetchDatasetMetadata(value string) PrefetchDatasetAttr + func PrefetchDatasetSlackPeriod(value int64) PrefetchDatasetAttr + type PrelinearizeAttr func(optionalAttr) + func PrelinearizeLayout(value []int64) PrelinearizeAttr + func PrelinearizeShape(value tf.Shape) PrelinearizeAttr + type PrelinearizeTupleAttr func(optionalAttr) + func PrelinearizeTupleLayouts(value []int64) PrelinearizeTupleAttr + type PreventGradientAttr func(optionalAttr) + func PreventGradientMessage(value string) PreventGradientAttr + type PrintAttr func(optionalAttr) + func PrintFirstN(value int64) PrintAttr + func PrintMessage(value string) PrintAttr + func PrintSummarize(value int64) PrintAttr + type PrintV2Attr func(optionalAttr) + func PrintV2End(value string) PrintV2Attr + func PrintV2OutputStream(value string) PrintV2Attr + type PriorityQueueV2Attr func(optionalAttr) + func PriorityQueueV2Capacity(value int64) PriorityQueueV2Attr + func PriorityQueueV2ComponentTypes(value []tf.DataType) PriorityQueueV2Attr + func PriorityQueueV2Container(value string) PriorityQueueV2Attr + func PriorityQueueV2SharedName(value string) PriorityQueueV2Attr + type ProdAttr func(optionalAttr) + func ProdKeepDims(value bool) ProdAttr + type QrAttr func(optionalAttr) + func QrFullMatrices(value bool) QrAttr + type QuantizeAndDequantizeAttr func(optionalAttr) + func QuantizeAndDequantizeInputMax(value float32) QuantizeAndDequantizeAttr + func QuantizeAndDequantizeInputMin(value float32) QuantizeAndDequantizeAttr + func QuantizeAndDequantizeNumBits(value int64) QuantizeAndDequantizeAttr + func QuantizeAndDequantizeRangeGiven(value bool) QuantizeAndDequantizeAttr + func QuantizeAndDequantizeSignedInput(value bool) QuantizeAndDequantizeAttr + type QuantizeAndDequantizeV2Attr func(optionalAttr) + func QuantizeAndDequantizeV2Axis(value int64) QuantizeAndDequantizeV2Attr + func QuantizeAndDequantizeV2NarrowRange(value bool) QuantizeAndDequantizeV2Attr + func QuantizeAndDequantizeV2NumBits(value int64) QuantizeAndDequantizeV2Attr + func QuantizeAndDequantizeV2RangeGiven(value bool) QuantizeAndDequantizeV2Attr + func QuantizeAndDequantizeV2RoundMode(value string) QuantizeAndDequantizeV2Attr + func QuantizeAndDequantizeV2SignedInput(value bool) QuantizeAndDequantizeV2Attr + type QuantizeAndDequantizeV3Attr func(optionalAttr) + func QuantizeAndDequantizeV3Axis(value int64) QuantizeAndDequantizeV3Attr + func QuantizeAndDequantizeV3NarrowRange(value bool) QuantizeAndDequantizeV3Attr + func QuantizeAndDequantizeV3RangeGiven(value bool) QuantizeAndDequantizeV3Attr + func QuantizeAndDequantizeV3SignedInput(value bool) QuantizeAndDequantizeV3Attr + type QuantizeAndDequantizeV4Attr func(optionalAttr) + func QuantizeAndDequantizeV4Axis(value int64) QuantizeAndDequantizeV4Attr + func QuantizeAndDequantizeV4NarrowRange(value bool) QuantizeAndDequantizeV4Attr + func QuantizeAndDequantizeV4NumBits(value int64) QuantizeAndDequantizeV4Attr + func QuantizeAndDequantizeV4RangeGiven(value bool) QuantizeAndDequantizeV4Attr + func QuantizeAndDequantizeV4RoundMode(value string) QuantizeAndDequantizeV4Attr + func QuantizeAndDequantizeV4SignedInput(value bool) QuantizeAndDequantizeV4Attr + type QuantizeAndDequantizeV4GradAttr func(optionalAttr) + func QuantizeAndDequantizeV4GradAxis(value int64) QuantizeAndDequantizeV4GradAttr + type QuantizeV2Attr func(optionalAttr) + func QuantizeV2Axis(value int64) QuantizeV2Attr + func QuantizeV2EnsureMinimumRange(value float32) QuantizeV2Attr + func QuantizeV2Mode(value string) QuantizeV2Attr + func QuantizeV2NarrowRange(value bool) QuantizeV2Attr + func QuantizeV2RoundMode(value string) QuantizeV2Attr + type QuantizedAddAttr func(optionalAttr) + func QuantizedAddToutput(value tf.DataType) QuantizedAddAttr + type QuantizedConv2DAttr func(optionalAttr) + func QuantizedConv2DDilations(value []int64) QuantizedConv2DAttr + func QuantizedConv2DOutType(value tf.DataType) QuantizedConv2DAttr + type QuantizedConv2DPerChannelAttr func(optionalAttr) + func QuantizedConv2DPerChannelDilations(value []int64) QuantizedConv2DPerChannelAttr + func QuantizedConv2DPerChannelOutType(value tf.DataType) QuantizedConv2DPerChannelAttr + type QuantizedDepthwiseConv2DAttr func(optionalAttr) + func QuantizedDepthwiseConv2DDilations(value []int64) QuantizedDepthwiseConv2DAttr + func QuantizedDepthwiseConv2DOutType(value tf.DataType) QuantizedDepthwiseConv2DAttr + type QuantizedDepthwiseConv2DWithBiasAndReluAndRequantizeAttr func(optionalAttr) + func QuantizedDepthwiseConv2DWithBiasAndReluAndRequantizeDilations(value []int64) QuantizedDepthwiseConv2DWithBiasAndReluAndRequantizeAttr + func QuantizedDepthwiseConv2DWithBiasAndReluAndRequantizeOutType(value tf.DataType) QuantizedDepthwiseConv2DWithBiasAndReluAndRequantizeAttr + func QuantizedDepthwiseConv2DWithBiasAndReluAndRequantizePaddingList(value []int64) QuantizedDepthwiseConv2DWithBiasAndReluAndRequantizeAttr + type QuantizedDepthwiseConv2DWithBiasAndReluAttr func(optionalAttr) + func QuantizedDepthwiseConv2DWithBiasAndReluDilations(value []int64) QuantizedDepthwiseConv2DWithBiasAndReluAttr + func QuantizedDepthwiseConv2DWithBiasAndReluOutType(value tf.DataType) QuantizedDepthwiseConv2DWithBiasAndReluAttr + func QuantizedDepthwiseConv2DWithBiasAndReluPaddingList(value []int64) QuantizedDepthwiseConv2DWithBiasAndReluAttr + type QuantizedDepthwiseConv2DWithBiasAttr func(optionalAttr) + func QuantizedDepthwiseConv2DWithBiasDilations(value []int64) QuantizedDepthwiseConv2DWithBiasAttr + func QuantizedDepthwiseConv2DWithBiasOutType(value tf.DataType) QuantizedDepthwiseConv2DWithBiasAttr + type QuantizedInstanceNormAttr func(optionalAttr) + func QuantizedInstanceNormGivenYMax(value float32) QuantizedInstanceNormAttr + func QuantizedInstanceNormGivenYMin(value float32) QuantizedInstanceNormAttr + func QuantizedInstanceNormMinSeparation(value float32) QuantizedInstanceNormAttr + func QuantizedInstanceNormOutputRangeGiven(value bool) QuantizedInstanceNormAttr + func QuantizedInstanceNormVarianceEpsilon(value float32) QuantizedInstanceNormAttr + type QuantizedMatMulAttr func(optionalAttr) + func QuantizedMatMulTactivation(value tf.DataType) QuantizedMatMulAttr + func QuantizedMatMulToutput(value tf.DataType) QuantizedMatMulAttr + func QuantizedMatMulTransposeA(value bool) QuantizedMatMulAttr + func QuantizedMatMulTransposeB(value bool) QuantizedMatMulAttr + type QuantizedMatMulWithBiasAndReluAndRequantizeAttr func(optionalAttr) + func QuantizedMatMulWithBiasAndReluAndRequantizeInputQuantMode(value string) QuantizedMatMulWithBiasAndReluAndRequantizeAttr + func QuantizedMatMulWithBiasAndReluAndRequantizeToutput(value tf.DataType) QuantizedMatMulWithBiasAndReluAndRequantizeAttr + func QuantizedMatMulWithBiasAndReluAndRequantizeTransposeA(value bool) QuantizedMatMulWithBiasAndReluAndRequantizeAttr + func QuantizedMatMulWithBiasAndReluAndRequantizeTransposeB(value bool) QuantizedMatMulWithBiasAndReluAndRequantizeAttr + type QuantizedMatMulWithBiasAndReluAttr func(optionalAttr) + func QuantizedMatMulWithBiasAndReluInputQuantMode(value string) QuantizedMatMulWithBiasAndReluAttr + func QuantizedMatMulWithBiasAndReluToutput(value tf.DataType) QuantizedMatMulWithBiasAndReluAttr + func QuantizedMatMulWithBiasAndReluTransposeA(value bool) QuantizedMatMulWithBiasAndReluAttr + func QuantizedMatMulWithBiasAndReluTransposeB(value bool) QuantizedMatMulWithBiasAndReluAttr + type QuantizedMatMulWithBiasAttr func(optionalAttr) + func QuantizedMatMulWithBiasInputQuantMode(value string) QuantizedMatMulWithBiasAttr + func QuantizedMatMulWithBiasToutput(value tf.DataType) QuantizedMatMulWithBiasAttr + func QuantizedMatMulWithBiasTransposeA(value bool) QuantizedMatMulWithBiasAttr + func QuantizedMatMulWithBiasTransposeB(value bool) QuantizedMatMulWithBiasAttr + type QuantizedMulAttr func(optionalAttr) + func QuantizedMulToutput(value tf.DataType) QuantizedMulAttr + type QuantizedRelu6Attr func(optionalAttr) + func QuantizedRelu6OutType(value tf.DataType) QuantizedRelu6Attr + type QuantizedReluAttr func(optionalAttr) + func QuantizedReluOutType(value tf.DataType) QuantizedReluAttr + type QuantizedReluXAttr func(optionalAttr) + func QuantizedReluXOutType(value tf.DataType) QuantizedReluXAttr + type QuantizedResizeBilinearAttr func(optionalAttr) + func QuantizedResizeBilinearAlignCorners(value bool) QuantizedResizeBilinearAttr + func QuantizedResizeBilinearHalfPixelCenters(value bool) QuantizedResizeBilinearAttr + type QueueCloseV2Attr func(optionalAttr) + func QueueCloseV2CancelPendingEnqueues(value bool) QueueCloseV2Attr + type QueueDequeueManyV2Attr func(optionalAttr) + func QueueDequeueManyV2TimeoutMs(value int64) QueueDequeueManyV2Attr + type QueueDequeueUpToV2Attr func(optionalAttr) + func QueueDequeueUpToV2TimeoutMs(value int64) QueueDequeueUpToV2Attr + type QueueDequeueV2Attr func(optionalAttr) + func QueueDequeueV2TimeoutMs(value int64) QueueDequeueV2Attr + type QueueEnqueueManyV2Attr func(optionalAttr) + func QueueEnqueueManyV2TimeoutMs(value int64) QueueEnqueueManyV2Attr + type QueueEnqueueV2Attr func(optionalAttr) + func QueueEnqueueV2TimeoutMs(value int64) QueueEnqueueV2Attr + type RFFT2DAttr func(optionalAttr) + func RFFT2DTcomplex(value tf.DataType) RFFT2DAttr + type RFFT3DAttr func(optionalAttr) + func RFFT3DTcomplex(value tf.DataType) RFFT3DAttr + type RFFTAttr func(optionalAttr) + func RFFTTcomplex(value tf.DataType) RFFTAttr + type RaggedBincountAttr func(optionalAttr) + func RaggedBincountBinaryOutput(value bool) RaggedBincountAttr + type RaggedCountSparseOutputAttr func(optionalAttr) + func RaggedCountSparseOutputMaxlength(value int64) RaggedCountSparseOutputAttr + func RaggedCountSparseOutputMinlength(value int64) RaggedCountSparseOutputAttr + type RaggedRangeAttr func(optionalAttr) + func RaggedRangeTsplits(value tf.DataType) RaggedRangeAttr + type RaggedTensorFromVariantAttr func(optionalAttr) + func RaggedTensorFromVariantTsplits(value tf.DataType) RaggedTensorFromVariantAttr + type RandomCropAttr func(optionalAttr) + func RandomCropSeed(value int64) RandomCropAttr + func RandomCropSeed2(value int64) RandomCropAttr + type RandomDatasetAttr func(optionalAttr) + func RandomDatasetMetadata(value string) RandomDatasetAttr + type RandomGammaAttr func(optionalAttr) + func RandomGammaSeed(value int64) RandomGammaAttr + func RandomGammaSeed2(value int64) RandomGammaAttr + type RandomPoissonAttr func(optionalAttr) + func RandomPoissonSeed(value int64) RandomPoissonAttr + func RandomPoissonSeed2(value int64) RandomPoissonAttr + type RandomPoissonV2Attr func(optionalAttr) + func RandomPoissonV2Dtype(value tf.DataType) RandomPoissonV2Attr + func RandomPoissonV2Seed(value int64) RandomPoissonV2Attr + func RandomPoissonV2Seed2(value int64) RandomPoissonV2Attr + type RandomShuffleAttr func(optionalAttr) + func RandomShuffleSeed(value int64) RandomShuffleAttr + func RandomShuffleSeed2(value int64) RandomShuffleAttr + type RandomShuffleQueueV2Attr func(optionalAttr) + func RandomShuffleQueueV2Capacity(value int64) RandomShuffleQueueV2Attr + func RandomShuffleQueueV2Container(value string) RandomShuffleQueueV2Attr + func RandomShuffleQueueV2MinAfterDequeue(value int64) RandomShuffleQueueV2Attr + func RandomShuffleQueueV2Seed(value int64) RandomShuffleQueueV2Attr + func RandomShuffleQueueV2Seed2(value int64) RandomShuffleQueueV2Attr + func RandomShuffleQueueV2Shapes(value []tf.Shape) RandomShuffleQueueV2Attr + func RandomShuffleQueueV2SharedName(value string) RandomShuffleQueueV2Attr + type RandomStandardNormalAttr func(optionalAttr) + func RandomStandardNormalSeed(value int64) RandomStandardNormalAttr + func RandomStandardNormalSeed2(value int64) RandomStandardNormalAttr + type RandomUniformAttr func(optionalAttr) + func RandomUniformSeed(value int64) RandomUniformAttr + func RandomUniformSeed2(value int64) RandomUniformAttr + type RandomUniformIntAttr func(optionalAttr) + func RandomUniformIntSeed(value int64) RandomUniformIntAttr + func RandomUniformIntSeed2(value int64) RandomUniformIntAttr + type RangeDatasetAttr func(optionalAttr) + func RangeDatasetMetadata(value string) RangeDatasetAttr + type ReadVariableXlaSplitNDAttr func(optionalAttr) + func ReadVariableXlaSplitNDPaddings(value []int64) ReadVariableXlaSplitNDAttr + type RealAttr func(optionalAttr) + func RealTout(value tf.DataType) RealAttr + type RebatchDatasetAttr func(optionalAttr) + func RebatchDatasetUseFallback(value bool) RebatchDatasetAttr + type RecordInputAttr func(optionalAttr) + func RecordInputBatchSize(value int64) RecordInputAttr + func RecordInputCompressionType(value string) RecordInputAttr + func RecordInputFileBufferSize(value int64) RecordInputAttr + func RecordInputFileParallelism(value int64) RecordInputAttr + func RecordInputFileRandomSeed(value int64) RecordInputAttr + func RecordInputFileShuffleShiftRatio(value float32) RecordInputAttr + type RecvAttr func(optionalAttr) + func RecvClientTerminated(value bool) RecvAttr + type ReduceJoinAttr func(optionalAttr) + func ReduceJoinKeepDims(value bool) ReduceJoinAttr + func ReduceJoinSeparator(value string) ReduceJoinAttr + type RegexReplaceAttr func(optionalAttr) + func RegexReplaceReplaceGlobal(value bool) RegexReplaceAttr + type RegisterDatasetAttr func(optionalAttr) + func RegisterDatasetElementSpec(value string) RegisterDatasetAttr + func RegisterDatasetMetadata(value string) RegisterDatasetAttr + type RepeatDatasetAttr func(optionalAttr) + func RepeatDatasetMetadata(value string) RepeatDatasetAttr + type RequantizePerChannelAttr func(optionalAttr) + func RequantizePerChannelOutType(value tf.DataType) RequantizePerChannelAttr + type ResizeAreaAttr func(optionalAttr) + func ResizeAreaAlignCorners(value bool) ResizeAreaAttr + type ResizeBicubicAttr func(optionalAttr) + func ResizeBicubicAlignCorners(value bool) ResizeBicubicAttr + func ResizeBicubicHalfPixelCenters(value bool) ResizeBicubicAttr + type ResizeBicubicGradAttr func(optionalAttr) + func ResizeBicubicGradAlignCorners(value bool) ResizeBicubicGradAttr + func ResizeBicubicGradHalfPixelCenters(value bool) ResizeBicubicGradAttr + type ResizeBilinearAttr func(optionalAttr) + func ResizeBilinearAlignCorners(value bool) ResizeBilinearAttr + func ResizeBilinearHalfPixelCenters(value bool) ResizeBilinearAttr + type ResizeBilinearGradAttr func(optionalAttr) + func ResizeBilinearGradAlignCorners(value bool) ResizeBilinearGradAttr + func ResizeBilinearGradHalfPixelCenters(value bool) ResizeBilinearGradAttr + type ResizeNearestNeighborAttr func(optionalAttr) + func ResizeNearestNeighborAlignCorners(value bool) ResizeNearestNeighborAttr + func ResizeNearestNeighborHalfPixelCenters(value bool) ResizeNearestNeighborAttr + type ResizeNearestNeighborGradAttr func(optionalAttr) + func ResizeNearestNeighborGradAlignCorners(value bool) ResizeNearestNeighborGradAttr + func ResizeNearestNeighborGradHalfPixelCenters(value bool) ResizeNearestNeighborGradAttr + type ResourceApplyAdaMaxAttr func(optionalAttr) + func ResourceApplyAdaMaxUseLocking(value bool) ResourceApplyAdaMaxAttr + type ResourceApplyAdadeltaAttr func(optionalAttr) + func ResourceApplyAdadeltaUseLocking(value bool) ResourceApplyAdadeltaAttr + type ResourceApplyAdagradAttr func(optionalAttr) + func ResourceApplyAdagradUpdateSlots(value bool) ResourceApplyAdagradAttr + func ResourceApplyAdagradUseLocking(value bool) ResourceApplyAdagradAttr + type ResourceApplyAdagradDAAttr func(optionalAttr) + func ResourceApplyAdagradDAUseLocking(value bool) ResourceApplyAdagradDAAttr + type ResourceApplyAdagradV2Attr func(optionalAttr) + func ResourceApplyAdagradV2UpdateSlots(value bool) ResourceApplyAdagradV2Attr + func ResourceApplyAdagradV2UseLocking(value bool) ResourceApplyAdagradV2Attr + type ResourceApplyAdamAttr func(optionalAttr) + func ResourceApplyAdamUseLocking(value bool) ResourceApplyAdamAttr + func ResourceApplyAdamUseNesterov(value bool) ResourceApplyAdamAttr + type ResourceApplyAdamWithAmsgradAttr func(optionalAttr) + func ResourceApplyAdamWithAmsgradUseLocking(value bool) ResourceApplyAdamWithAmsgradAttr + type ResourceApplyAddSignAttr func(optionalAttr) + func ResourceApplyAddSignUseLocking(value bool) ResourceApplyAddSignAttr + type ResourceApplyCenteredRMSPropAttr func(optionalAttr) + func ResourceApplyCenteredRMSPropUseLocking(value bool) ResourceApplyCenteredRMSPropAttr + type ResourceApplyFtrlAttr func(optionalAttr) + func ResourceApplyFtrlMultiplyLinearByLr(value bool) ResourceApplyFtrlAttr + func ResourceApplyFtrlUseLocking(value bool) ResourceApplyFtrlAttr + type ResourceApplyFtrlV2Attr func(optionalAttr) + func ResourceApplyFtrlV2MultiplyLinearByLr(value bool) ResourceApplyFtrlV2Attr + func ResourceApplyFtrlV2UseLocking(value bool) ResourceApplyFtrlV2Attr + type ResourceApplyGradientDescentAttr func(optionalAttr) + func ResourceApplyGradientDescentUseLocking(value bool) ResourceApplyGradientDescentAttr + type ResourceApplyKerasMomentumAttr func(optionalAttr) + func ResourceApplyKerasMomentumUseLocking(value bool) ResourceApplyKerasMomentumAttr + func ResourceApplyKerasMomentumUseNesterov(value bool) ResourceApplyKerasMomentumAttr + type ResourceApplyMomentumAttr func(optionalAttr) + func ResourceApplyMomentumUseLocking(value bool) ResourceApplyMomentumAttr + func ResourceApplyMomentumUseNesterov(value bool) ResourceApplyMomentumAttr + type ResourceApplyPowerSignAttr func(optionalAttr) + func ResourceApplyPowerSignUseLocking(value bool) ResourceApplyPowerSignAttr + type ResourceApplyProximalAdagradAttr func(optionalAttr) + func ResourceApplyProximalAdagradUseLocking(value bool) ResourceApplyProximalAdagradAttr + type ResourceApplyProximalGradientDescentAttr func(optionalAttr) + func ResourceApplyProximalGradientDescentUseLocking(value bool) ResourceApplyProximalGradientDescentAttr + type ResourceApplyRMSPropAttr func(optionalAttr) + func ResourceApplyRMSPropUseLocking(value bool) ResourceApplyRMSPropAttr + type ResourceConditionalAccumulatorAttr func(optionalAttr) + func ResourceConditionalAccumulatorContainer(value string) ResourceConditionalAccumulatorAttr + func ResourceConditionalAccumulatorReductionType(value string) ResourceConditionalAccumulatorAttr + func ResourceConditionalAccumulatorSharedName(value string) ResourceConditionalAccumulatorAttr + type ResourceGatherAttr func(optionalAttr) + func ResourceGatherBatchDims(value int64) ResourceGatherAttr + func ResourceGatherValidateIndices(value bool) ResourceGatherAttr + type ResourceScatterNdAddAttr func(optionalAttr) + func ResourceScatterNdAddUseLocking(value bool) ResourceScatterNdAddAttr + type ResourceScatterNdSubAttr func(optionalAttr) + func ResourceScatterNdSubUseLocking(value bool) ResourceScatterNdSubAttr + type ResourceScatterNdUpdateAttr func(optionalAttr) + func ResourceScatterNdUpdateUseLocking(value bool) ResourceScatterNdUpdateAttr + type ResourceSparseApplyAdadeltaAttr func(optionalAttr) + func ResourceSparseApplyAdadeltaUseLocking(value bool) ResourceSparseApplyAdadeltaAttr + type ResourceSparseApplyAdagradAttr func(optionalAttr) + func ResourceSparseApplyAdagradUpdateSlots(value bool) ResourceSparseApplyAdagradAttr + func ResourceSparseApplyAdagradUseLocking(value bool) ResourceSparseApplyAdagradAttr + type ResourceSparseApplyAdagradDAAttr func(optionalAttr) + func ResourceSparseApplyAdagradDAUseLocking(value bool) ResourceSparseApplyAdagradDAAttr + type ResourceSparseApplyAdagradV2Attr func(optionalAttr) + func ResourceSparseApplyAdagradV2UpdateSlots(value bool) ResourceSparseApplyAdagradV2Attr + func ResourceSparseApplyAdagradV2UseLocking(value bool) ResourceSparseApplyAdagradV2Attr + type ResourceSparseApplyCenteredRMSPropAttr func(optionalAttr) + func ResourceSparseApplyCenteredRMSPropUseLocking(value bool) ResourceSparseApplyCenteredRMSPropAttr + type ResourceSparseApplyFtrlAttr func(optionalAttr) + func ResourceSparseApplyFtrlMultiplyLinearByLr(value bool) ResourceSparseApplyFtrlAttr + func ResourceSparseApplyFtrlUseLocking(value bool) ResourceSparseApplyFtrlAttr + type ResourceSparseApplyFtrlV2Attr func(optionalAttr) + func ResourceSparseApplyFtrlV2MultiplyLinearByLr(value bool) ResourceSparseApplyFtrlV2Attr + func ResourceSparseApplyFtrlV2UseLocking(value bool) ResourceSparseApplyFtrlV2Attr + type ResourceSparseApplyKerasMomentumAttr func(optionalAttr) + func ResourceSparseApplyKerasMomentumUseLocking(value bool) ResourceSparseApplyKerasMomentumAttr + func ResourceSparseApplyKerasMomentumUseNesterov(value bool) ResourceSparseApplyKerasMomentumAttr + type ResourceSparseApplyMomentumAttr func(optionalAttr) + func ResourceSparseApplyMomentumUseLocking(value bool) ResourceSparseApplyMomentumAttr + func ResourceSparseApplyMomentumUseNesterov(value bool) ResourceSparseApplyMomentumAttr + type ResourceSparseApplyProximalAdagradAttr func(optionalAttr) + func ResourceSparseApplyProximalAdagradUseLocking(value bool) ResourceSparseApplyProximalAdagradAttr + type ResourceSparseApplyProximalGradientDescentAttr func(optionalAttr) + func ResourceSparseApplyProximalGradientDescentUseLocking(value bool) ResourceSparseApplyProximalGradientDescentAttr + type ResourceSparseApplyRMSPropAttr func(optionalAttr) + func ResourceSparseApplyRMSPropUseLocking(value bool) ResourceSparseApplyRMSPropAttr + type ResourceStridedSliceAssignAttr func(optionalAttr) + func ResourceStridedSliceAssignBeginMask(value int64) ResourceStridedSliceAssignAttr + func ResourceStridedSliceAssignEllipsisMask(value int64) ResourceStridedSliceAssignAttr + func ResourceStridedSliceAssignEndMask(value int64) ResourceStridedSliceAssignAttr + func ResourceStridedSliceAssignNewAxisMask(value int64) ResourceStridedSliceAssignAttr + func ResourceStridedSliceAssignShrinkAxisMask(value int64) ResourceStridedSliceAssignAttr + type RestoreAttr func(optionalAttr) + func RestorePreferredShard(value int64) RestoreAttr + type RestoreSliceAttr func(optionalAttr) + func RestoreSlicePreferredShard(value int64) RestoreSliceAttr + type RetrieveTPUEmbeddingADAMParametersAttr func(optionalAttr) + func RetrieveTPUEmbeddingADAMParametersConfig(value string) RetrieveTPUEmbeddingADAMParametersAttr + func RetrieveTPUEmbeddingADAMParametersTableId(value int64) RetrieveTPUEmbeddingADAMParametersAttr + func RetrieveTPUEmbeddingADAMParametersTableName(value string) RetrieveTPUEmbeddingADAMParametersAttr + type RetrieveTPUEmbeddingAdadeltaParametersAttr func(optionalAttr) + func RetrieveTPUEmbeddingAdadeltaParametersConfig(value string) RetrieveTPUEmbeddingAdadeltaParametersAttr + func RetrieveTPUEmbeddingAdadeltaParametersTableId(value int64) RetrieveTPUEmbeddingAdadeltaParametersAttr + func RetrieveTPUEmbeddingAdadeltaParametersTableName(value string) RetrieveTPUEmbeddingAdadeltaParametersAttr + type RetrieveTPUEmbeddingAdagradMomentumParametersAttr func(optionalAttr) + func RetrieveTPUEmbeddingAdagradMomentumParametersConfig(value string) RetrieveTPUEmbeddingAdagradMomentumParametersAttr + func RetrieveTPUEmbeddingAdagradMomentumParametersTableId(value int64) RetrieveTPUEmbeddingAdagradMomentumParametersAttr + func RetrieveTPUEmbeddingAdagradMomentumParametersTableName(value string) RetrieveTPUEmbeddingAdagradMomentumParametersAttr + type RetrieveTPUEmbeddingAdagradParametersAttr func(optionalAttr) + func RetrieveTPUEmbeddingAdagradParametersConfig(value string) RetrieveTPUEmbeddingAdagradParametersAttr + func RetrieveTPUEmbeddingAdagradParametersTableId(value int64) RetrieveTPUEmbeddingAdagradParametersAttr + func RetrieveTPUEmbeddingAdagradParametersTableName(value string) RetrieveTPUEmbeddingAdagradParametersAttr + type RetrieveTPUEmbeddingCenteredRMSPropParametersAttr func(optionalAttr) + func RetrieveTPUEmbeddingCenteredRMSPropParametersConfig(value string) RetrieveTPUEmbeddingCenteredRMSPropParametersAttr + func RetrieveTPUEmbeddingCenteredRMSPropParametersTableId(value int64) RetrieveTPUEmbeddingCenteredRMSPropParametersAttr + func RetrieveTPUEmbeddingCenteredRMSPropParametersTableName(value string) RetrieveTPUEmbeddingCenteredRMSPropParametersAttr + type RetrieveTPUEmbeddingFTRLParametersAttr func(optionalAttr) + func RetrieveTPUEmbeddingFTRLParametersConfig(value string) RetrieveTPUEmbeddingFTRLParametersAttr + func RetrieveTPUEmbeddingFTRLParametersTableId(value int64) RetrieveTPUEmbeddingFTRLParametersAttr + func RetrieveTPUEmbeddingFTRLParametersTableName(value string) RetrieveTPUEmbeddingFTRLParametersAttr + type RetrieveTPUEmbeddingFrequencyEstimatorParametersAttr func(optionalAttr) + func RetrieveTPUEmbeddingFrequencyEstimatorParametersConfig(value string) RetrieveTPUEmbeddingFrequencyEstimatorParametersAttr + func RetrieveTPUEmbeddingFrequencyEstimatorParametersTableId(value int64) RetrieveTPUEmbeddingFrequencyEstimatorParametersAttr + func RetrieveTPUEmbeddingFrequencyEstimatorParametersTableName(value string) RetrieveTPUEmbeddingFrequencyEstimatorParametersAttr + type RetrieveTPUEmbeddingMDLAdagradLightParametersAttr func(optionalAttr) + func RetrieveTPUEmbeddingMDLAdagradLightParametersConfig(value string) RetrieveTPUEmbeddingMDLAdagradLightParametersAttr + func RetrieveTPUEmbeddingMDLAdagradLightParametersTableId(value int64) RetrieveTPUEmbeddingMDLAdagradLightParametersAttr + func RetrieveTPUEmbeddingMDLAdagradLightParametersTableName(value string) RetrieveTPUEmbeddingMDLAdagradLightParametersAttr + type RetrieveTPUEmbeddingMomentumParametersAttr func(optionalAttr) + func RetrieveTPUEmbeddingMomentumParametersConfig(value string) RetrieveTPUEmbeddingMomentumParametersAttr + func RetrieveTPUEmbeddingMomentumParametersTableId(value int64) RetrieveTPUEmbeddingMomentumParametersAttr + func RetrieveTPUEmbeddingMomentumParametersTableName(value string) RetrieveTPUEmbeddingMomentumParametersAttr + type RetrieveTPUEmbeddingProximalAdagradParametersAttr func(optionalAttr) + func RetrieveTPUEmbeddingProximalAdagradParametersConfig(value string) RetrieveTPUEmbeddingProximalAdagradParametersAttr + func RetrieveTPUEmbeddingProximalAdagradParametersTableId(value int64) RetrieveTPUEmbeddingProximalAdagradParametersAttr + func RetrieveTPUEmbeddingProximalAdagradParametersTableName(value string) RetrieveTPUEmbeddingProximalAdagradParametersAttr + type RetrieveTPUEmbeddingRMSPropParametersAttr func(optionalAttr) + func RetrieveTPUEmbeddingRMSPropParametersConfig(value string) RetrieveTPUEmbeddingRMSPropParametersAttr + func RetrieveTPUEmbeddingRMSPropParametersTableId(value int64) RetrieveTPUEmbeddingRMSPropParametersAttr + func RetrieveTPUEmbeddingRMSPropParametersTableName(value string) RetrieveTPUEmbeddingRMSPropParametersAttr + type RetrieveTPUEmbeddingStochasticGradientDescentParametersAttr func(optionalAttr) + func RetrieveTPUEmbeddingStochasticGradientDescentParametersConfig(value string) RetrieveTPUEmbeddingStochasticGradientDescentParametersAttr + func RetrieveTPUEmbeddingStochasticGradientDescentParametersTableId(value int64) RetrieveTPUEmbeddingStochasticGradientDescentParametersAttr + func RetrieveTPUEmbeddingStochasticGradientDescentParametersTableName(value string) RetrieveTPUEmbeddingStochasticGradientDescentParametersAttr + type ReverseSequenceAttr func(optionalAttr) + func ReverseSequenceBatchDim(value int64) ReverseSequenceAttr + type SampleDistortedBoundingBoxAttr func(optionalAttr) + func SampleDistortedBoundingBoxAreaRange(value []float32) SampleDistortedBoundingBoxAttr + func SampleDistortedBoundingBoxAspectRatioRange(value []float32) SampleDistortedBoundingBoxAttr + func SampleDistortedBoundingBoxMaxAttempts(value int64) SampleDistortedBoundingBoxAttr + func SampleDistortedBoundingBoxMinObjectCovered(value float32) SampleDistortedBoundingBoxAttr + func SampleDistortedBoundingBoxSeed(value int64) SampleDistortedBoundingBoxAttr + func SampleDistortedBoundingBoxSeed2(value int64) SampleDistortedBoundingBoxAttr + func SampleDistortedBoundingBoxUseImageIfNoBoundingBoxes(value bool) SampleDistortedBoundingBoxAttr + type SampleDistortedBoundingBoxV2Attr func(optionalAttr) + func SampleDistortedBoundingBoxV2AreaRange(value []float32) SampleDistortedBoundingBoxV2Attr + func SampleDistortedBoundingBoxV2AspectRatioRange(value []float32) SampleDistortedBoundingBoxV2Attr + func SampleDistortedBoundingBoxV2MaxAttempts(value int64) SampleDistortedBoundingBoxV2Attr + func SampleDistortedBoundingBoxV2Seed(value int64) SampleDistortedBoundingBoxV2Attr + func SampleDistortedBoundingBoxV2Seed2(value int64) SampleDistortedBoundingBoxV2Attr + func SampleDistortedBoundingBoxV2UseImageIfNoBoundingBoxes(value bool) SampleDistortedBoundingBoxV2Attr + type Scope struct + func NewScope() *Scope + func NewScopeWithGraph(g *tf.Graph) *Scope + func (s *Scope) AddOperation(args tf.OpSpec) *tf.Operation + func (s *Scope) Err() error + func (s *Scope) Finalize() (*tf.Graph, error) + func (s *Scope) SubScope(namespace string) *Scope + func (s *Scope) UpdateErr(op string, err error) + func (s *Scope) WithControlDependencies(ops ...*tf.Operation) *Scope + func (s *Scope) WithDevice(device string) *Scope + type SdcaOptimizerAttr func(optionalAttr) + func SdcaOptimizerAdaptative(value bool) SdcaOptimizerAttr + type SdcaOptimizerV2Attr func(optionalAttr) + func SdcaOptimizerV2Adaptive(value bool) SdcaOptimizerV2Attr + type SelfAdjointEigV2Attr func(optionalAttr) + func SelfAdjointEigV2ComputeV(value bool) SelfAdjointEigV2Attr + type SendAttr func(optionalAttr) + func SendClientTerminated(value bool) SendAttr + type SerializeIteratorAttr func(optionalAttr) + func SerializeIteratorExternalStatePolicy(value int64) SerializeIteratorAttr + type SerializeManySparseAttr func(optionalAttr) + func SerializeManySparseOutType(value tf.DataType) SerializeManySparseAttr + type SerializeSparseAttr func(optionalAttr) + func SerializeSparseOutType(value tf.DataType) SerializeSparseAttr + type SetSizeAttr func(optionalAttr) + func SetSizeValidateIndices(value bool) SetSizeAttr + type ShapeAttr func(optionalAttr) + func ShapeOutType(value tf.DataType) ShapeAttr + type ShapeNAttr func(optionalAttr) + func ShapeNOutType(value tf.DataType) ShapeNAttr + type ShardDatasetAttr func(optionalAttr) + func ShardDatasetMetadata(value string) ShardDatasetAttr + func ShardDatasetRequireNonEmpty(value bool) ShardDatasetAttr + type ShuffleAndRepeatDatasetAttr func(optionalAttr) + func ShuffleAndRepeatDatasetMetadata(value string) ShuffleAndRepeatDatasetAttr + func ShuffleAndRepeatDatasetReshuffleEachIteration(value bool) ShuffleAndRepeatDatasetAttr + type ShuffleDatasetAttr func(optionalAttr) + func ShuffleDatasetMetadata(value string) ShuffleDatasetAttr + func ShuffleDatasetReshuffleEachIteration(value bool) ShuffleDatasetAttr + type SizeAttr func(optionalAttr) + func SizeOutType(value tf.DataType) SizeAttr + type SkipDatasetAttr func(optionalAttr) + func SkipDatasetMetadata(value string) SkipDatasetAttr + type SkipgramAttr func(optionalAttr) + func SkipgramMinCount(value int64) SkipgramAttr + func SkipgramSubsample(value float32) SkipgramAttr + func SkipgramWindowSize(value int64) SkipgramAttr + type SlidingWindowDatasetAttr func(optionalAttr) + func SlidingWindowDatasetDropRemainder(value bool) SlidingWindowDatasetAttr + type SnapshotDatasetAttr func(optionalAttr) + func SnapshotDatasetCompression(value string) SnapshotDatasetAttr + func SnapshotDatasetMode(value string) SnapshotDatasetAttr + func SnapshotDatasetNumReaderThreads(value int64) SnapshotDatasetAttr + func SnapshotDatasetNumWriterThreads(value int64) SnapshotDatasetAttr + func SnapshotDatasetPendingSnapshotExpirySeconds(value int64) SnapshotDatasetAttr + func SnapshotDatasetReaderBufferSize(value int64) SnapshotDatasetAttr + func SnapshotDatasetReaderPathPrefix(value string) SnapshotDatasetAttr + func SnapshotDatasetSeed(value int64) SnapshotDatasetAttr + func SnapshotDatasetSeed2(value int64) SnapshotDatasetAttr + func SnapshotDatasetShardSizeBytes(value int64) SnapshotDatasetAttr + func SnapshotDatasetShuffleOnRead(value bool) SnapshotDatasetAttr + func SnapshotDatasetSnapshotName(value string) SnapshotDatasetAttr + func SnapshotDatasetWriterBufferSize(value int64) SnapshotDatasetAttr + func SnapshotDatasetWriterPathPrefix(value string) SnapshotDatasetAttr + type SobolSampleAttr func(optionalAttr) + func SobolSampleDtype(value tf.DataType) SobolSampleAttr + type SpaceToDepthAttr func(optionalAttr) + func SpaceToDepthDataFormat(value string) SpaceToDepthAttr + type SparseBincountAttr func(optionalAttr) + func SparseBincountBinaryOutput(value bool) SparseBincountAttr + type SparseCountSparseOutputAttr func(optionalAttr) + func SparseCountSparseOutputMaxlength(value int64) SparseCountSparseOutputAttr + func SparseCountSparseOutputMinlength(value int64) SparseCountSparseOutputAttr + type SparseMatMulAttr func(optionalAttr) + func SparseMatMulAIsSparse(value bool) SparseMatMulAttr + func SparseMatMulBIsSparse(value bool) SparseMatMulAttr + func SparseMatMulTransposeA(value bool) SparseMatMulAttr + func SparseMatMulTransposeB(value bool) SparseMatMulAttr + type SparseMatrixMatMulAttr func(optionalAttr) + func SparseMatrixMatMulAdjointA(value bool) SparseMatrixMatMulAttr + func SparseMatrixMatMulAdjointB(value bool) SparseMatrixMatMulAttr + func SparseMatrixMatMulConjugateOutput(value bool) SparseMatrixMatMulAttr + func SparseMatrixMatMulTransposeA(value bool) SparseMatrixMatMulAttr + func SparseMatrixMatMulTransposeB(value bool) SparseMatrixMatMulAttr + func SparseMatrixMatMulTransposeOutput(value bool) SparseMatrixMatMulAttr + type SparseMatrixSparseMatMulAttr func(optionalAttr) + func SparseMatrixSparseMatMulAdjointA(value bool) SparseMatrixSparseMatMulAttr + func SparseMatrixSparseMatMulAdjointB(value bool) SparseMatrixSparseMatMulAttr + func SparseMatrixSparseMatMulTransposeA(value bool) SparseMatrixSparseMatMulAttr + func SparseMatrixSparseMatMulTransposeB(value bool) SparseMatrixSparseMatMulAttr + type SparseMatrixTransposeAttr func(optionalAttr) + func SparseMatrixTransposeConjugate(value bool) SparseMatrixTransposeAttr + type SparseReduceMaxAttr func(optionalAttr) + func SparseReduceMaxKeepDims(value bool) SparseReduceMaxAttr + type SparseReduceMaxSparseAttr func(optionalAttr) + func SparseReduceMaxSparseKeepDims(value bool) SparseReduceMaxSparseAttr + type SparseReduceSumAttr func(optionalAttr) + func SparseReduceSumKeepDims(value bool) SparseReduceSumAttr + type SparseReduceSumSparseAttr func(optionalAttr) + func SparseReduceSumSparseKeepDims(value bool) SparseReduceSumSparseAttr + type SparseTensorDenseMatMulAttr func(optionalAttr) + func SparseTensorDenseMatMulAdjointA(value bool) SparseTensorDenseMatMulAttr + func SparseTensorDenseMatMulAdjointB(value bool) SparseTensorDenseMatMulAttr + type SparseToDenseAttr func(optionalAttr) + func SparseToDenseValidateIndices(value bool) SparseToDenseAttr + type SparseToSparseSetOperationAttr func(optionalAttr) + func SparseToSparseSetOperationValidateIndices(value bool) SparseToSparseSetOperationAttr + type SqueezeAttr func(optionalAttr) + func SqueezeAxis(value []int64) SqueezeAttr + type StackPushV2Attr func(optionalAttr) + func StackPushV2SwapMemory(value bool) StackPushV2Attr + type StackV2Attr func(optionalAttr) + func StackV2StackName(value string) StackV2Attr + type StageAttr func(optionalAttr) + func StageCapacity(value int64) StageAttr + func StageContainer(value string) StageAttr + func StageMemoryLimit(value int64) StageAttr + func StageSharedName(value string) StageAttr + type StageClearAttr func(optionalAttr) + func StageClearCapacity(value int64) StageClearAttr + func StageClearContainer(value string) StageClearAttr + func StageClearMemoryLimit(value int64) StageClearAttr + func StageClearSharedName(value string) StageClearAttr + type StagePeekAttr func(optionalAttr) + func StagePeekCapacity(value int64) StagePeekAttr + func StagePeekContainer(value string) StagePeekAttr + func StagePeekMemoryLimit(value int64) StagePeekAttr + func StagePeekSharedName(value string) StagePeekAttr + type StageSizeAttr func(optionalAttr) + func StageSizeCapacity(value int64) StageSizeAttr + func StageSizeContainer(value string) StageSizeAttr + func StageSizeMemoryLimit(value int64) StageSizeAttr + func StageSizeSharedName(value string) StageSizeAttr + type StatefulStandardNormalAttr func(optionalAttr) + func StatefulStandardNormalDtype(value tf.DataType) StatefulStandardNormalAttr + type StatefulStandardNormalV2Attr func(optionalAttr) + func StatefulStandardNormalV2Dtype(value tf.DataType) StatefulStandardNormalV2Attr + type StatefulTruncatedNormalAttr func(optionalAttr) + func StatefulTruncatedNormalDtype(value tf.DataType) StatefulTruncatedNormalAttr + type StatefulUniformAttr func(optionalAttr) + func StatefulUniformDtype(value tf.DataType) StatefulUniformAttr + type StatefulUniformFullIntAttr func(optionalAttr) + func StatefulUniformFullIntDtype(value tf.DataType) StatefulUniformFullIntAttr + type StatelessMultinomialAttr func(optionalAttr) + func StatelessMultinomialOutputDtype(value tf.DataType) StatelessMultinomialAttr + type StatelessRandomBinomialAttr func(optionalAttr) + func StatelessRandomBinomialDtype(value tf.DataType) StatelessRandomBinomialAttr + type StatelessRandomNormalAttr func(optionalAttr) + func StatelessRandomNormalDtype(value tf.DataType) StatelessRandomNormalAttr + type StatelessRandomNormalV2Attr func(optionalAttr) + func StatelessRandomNormalV2Dtype(value tf.DataType) StatelessRandomNormalV2Attr + type StatelessRandomUniformAttr func(optionalAttr) + func StatelessRandomUniformDtype(value tf.DataType) StatelessRandomUniformAttr + type StatelessRandomUniformFullIntAttr func(optionalAttr) + func StatelessRandomUniformFullIntDtype(value tf.DataType) StatelessRandomUniformFullIntAttr + type StatelessRandomUniformFullIntV2Attr func(optionalAttr) + func StatelessRandomUniformFullIntV2Dtype(value tf.DataType) StatelessRandomUniformFullIntV2Attr + type StatelessRandomUniformV2Attr func(optionalAttr) + func StatelessRandomUniformV2Dtype(value tf.DataType) StatelessRandomUniformV2Attr + type StatelessSampleDistortedBoundingBoxAttr func(optionalAttr) + func StatelessSampleDistortedBoundingBoxAreaRange(value []float32) StatelessSampleDistortedBoundingBoxAttr + func StatelessSampleDistortedBoundingBoxAspectRatioRange(value []float32) StatelessSampleDistortedBoundingBoxAttr + func StatelessSampleDistortedBoundingBoxMaxAttempts(value int64) StatelessSampleDistortedBoundingBoxAttr + func StatelessSampleDistortedBoundingBoxUseImageIfNoBoundingBoxes(value bool) StatelessSampleDistortedBoundingBoxAttr + type StatelessTruncatedNormalAttr func(optionalAttr) + func StatelessTruncatedNormalDtype(value tf.DataType) StatelessTruncatedNormalAttr + type StatelessTruncatedNormalV2Attr func(optionalAttr) + func StatelessTruncatedNormalV2Dtype(value tf.DataType) StatelessTruncatedNormalV2Attr + type StaticRegexReplaceAttr func(optionalAttr) + func StaticRegexReplaceReplaceGlobal(value bool) StaticRegexReplaceAttr + type StatsAggregatorHandleAttr func(optionalAttr) + func StatsAggregatorHandleContainer(value string) StatsAggregatorHandleAttr + func StatsAggregatorHandleSharedName(value string) StatsAggregatorHandleAttr + type StridedSliceAttr func(optionalAttr) + func StridedSliceBeginMask(value int64) StridedSliceAttr + func StridedSliceEllipsisMask(value int64) StridedSliceAttr + func StridedSliceEndMask(value int64) StridedSliceAttr + func StridedSliceNewAxisMask(value int64) StridedSliceAttr + func StridedSliceShrinkAxisMask(value int64) StridedSliceAttr + type StridedSliceGradAttr func(optionalAttr) + func StridedSliceGradBeginMask(value int64) StridedSliceGradAttr + func StridedSliceGradEllipsisMask(value int64) StridedSliceGradAttr + func StridedSliceGradEndMask(value int64) StridedSliceGradAttr + func StridedSliceGradNewAxisMask(value int64) StridedSliceGradAttr + func StridedSliceGradShrinkAxisMask(value int64) StridedSliceGradAttr + type StringFormatAttr func(optionalAttr) + func StringFormatPlaceholder(value string) StringFormatAttr + func StringFormatSummarize(value int64) StringFormatAttr + func StringFormatTemplate(value string) StringFormatAttr + type StringJoinAttr func(optionalAttr) + func StringJoinSeparator(value string) StringJoinAttr + type StringLengthAttr func(optionalAttr) + func StringLengthUnit(value string) StringLengthAttr + type StringLowerAttr func(optionalAttr) + func StringLowerEncoding(value string) StringLowerAttr + type StringSplitAttr func(optionalAttr) + func StringSplitSkipEmpty(value bool) StringSplitAttr + type StringSplitV2Attr func(optionalAttr) + func StringSplitV2Maxsplit(value int64) StringSplitV2Attr + type StringToNumberAttr func(optionalAttr) + func StringToNumberOutType(value tf.DataType) StringToNumberAttr + type StringUpperAttr func(optionalAttr) + func StringUpperEncoding(value string) StringUpperAttr + type SubstrAttr func(optionalAttr) + func SubstrUnit(value string) SubstrAttr + type SumAttr func(optionalAttr) + func SumKeepDims(value bool) SumAttr + type SvdAttr func(optionalAttr) + func SvdComputeUv(value bool) SvdAttr + func SvdFullMatrices(value bool) SvdAttr + type TFRecordDatasetAttr func(optionalAttr) + func TFRecordDatasetMetadata(value string) TFRecordDatasetAttr + type TFRecordReaderV2Attr func(optionalAttr) + func TFRecordReaderV2CompressionType(value string) TFRecordReaderV2Attr + func TFRecordReaderV2Container(value string) TFRecordReaderV2Attr + func TFRecordReaderV2SharedName(value string) TFRecordReaderV2Attr + type TPUPartitionedInputAttr func(optionalAttr) + func TPUPartitionedInputPartitionDim(value int64) TPUPartitionedInputAttr + type TPUPartitionedOutputAttr func(optionalAttr) + func TPUPartitionedOutputPartitionDim(value int64) TPUPartitionedOutputAttr + type TPUReplicateMetadataAttr func(optionalAttr) + func TPUReplicateMetadataAllowSoftPlacement(value bool) TPUReplicateMetadataAttr + func TPUReplicateMetadataComputationShape(value []int64) TPUReplicateMetadataAttr + func TPUReplicateMetadataDeviceAssignment(value []int64) TPUReplicateMetadataAttr + func TPUReplicateMetadataHostComputeCore(value []string) TPUReplicateMetadataAttr + func TPUReplicateMetadataNumCoresPerReplica(value int64) TPUReplicateMetadataAttr + func TPUReplicateMetadataPaddingMap(value []string) TPUReplicateMetadataAttr + func TPUReplicateMetadataStepMarkerLocation(value string) TPUReplicateMetadataAttr + func TPUReplicateMetadataTopology(value string) TPUReplicateMetadataAttr + func TPUReplicateMetadataUseSpmdForXlaPartitioning(value bool) TPUReplicateMetadataAttr + func TPUReplicateMetadataUseTpu(value bool) TPUReplicateMetadataAttr + type TPUReplicatedInputAttr func(optionalAttr) + func TPUReplicatedInputIndex(value int64) TPUReplicatedInputAttr + func TPUReplicatedInputIsMirroredVariable(value bool) TPUReplicatedInputAttr + func TPUReplicatedInputIsPacked(value bool) TPUReplicatedInputAttr + type TakeDatasetAttr func(optionalAttr) + func TakeDatasetMetadata(value string) TakeDatasetAttr + type TakeManySparseFromTensorsMapAttr func(optionalAttr) + func TakeManySparseFromTensorsMapContainer(value string) TakeManySparseFromTensorsMapAttr + func TakeManySparseFromTensorsMapSharedName(value string) TakeManySparseFromTensorsMapAttr + type TensorArrayConcatV2Attr func(optionalAttr) + func TensorArrayConcatV2ElementShapeExcept0(value tf.Shape) TensorArrayConcatV2Attr + type TensorArrayConcatV3Attr func(optionalAttr) + func TensorArrayConcatV3ElementShapeExcept0(value tf.Shape) TensorArrayConcatV3Attr + type TensorArrayGatherV2Attr func(optionalAttr) + func TensorArrayGatherV2ElementShape(value tf.Shape) TensorArrayGatherV2Attr + type TensorArrayGatherV3Attr func(optionalAttr) + func TensorArrayGatherV3ElementShape(value tf.Shape) TensorArrayGatherV3Attr + type TensorArrayV2Attr func(optionalAttr) + func TensorArrayV2ClearAfterRead(value bool) TensorArrayV2Attr + func TensorArrayV2DynamicSize(value bool) TensorArrayV2Attr + func TensorArrayV2ElementShape(value tf.Shape) TensorArrayV2Attr + func TensorArrayV2TensorArrayName(value string) TensorArrayV2Attr + type TensorArrayV3Attr func(optionalAttr) + func TensorArrayV3ClearAfterRead(value bool) TensorArrayV3Attr + func TensorArrayV3DynamicSize(value bool) TensorArrayV3Attr + func TensorArrayV3ElementShape(value tf.Shape) TensorArrayV3Attr + func TensorArrayV3IdenticalElementShapes(value bool) TensorArrayV3Attr + func TensorArrayV3TensorArrayName(value string) TensorArrayV3Attr + type TensorDatasetAttr func(optionalAttr) + func TensorDatasetMetadata(value string) TensorDatasetAttr + type TensorListConcatAttr func(optionalAttr) + func TensorListConcatElementShape(value tf.Shape) TensorListConcatAttr + type TensorListStackAttr func(optionalAttr) + func TensorListStackNumElements(value int64) TensorListStackAttr + type TensorSliceDatasetAttr func(optionalAttr) + func TensorSliceDatasetIsFiles(value bool) TensorSliceDatasetAttr + func TensorSliceDatasetMetadata(value string) TensorSliceDatasetAttr + type TensorStridedSliceUpdateAttr func(optionalAttr) + func TensorStridedSliceUpdateBeginMask(value int64) TensorStridedSliceUpdateAttr + func TensorStridedSliceUpdateEllipsisMask(value int64) TensorStridedSliceUpdateAttr + func TensorStridedSliceUpdateEndMask(value int64) TensorStridedSliceUpdateAttr + func TensorStridedSliceUpdateNewAxisMask(value int64) TensorStridedSliceUpdateAttr + func TensorStridedSliceUpdateShrinkAxisMask(value int64) TensorStridedSliceUpdateAttr + type TensorSummaryAttr func(optionalAttr) + func TensorSummaryDescription(value string) TensorSummaryAttr + func TensorSummaryDisplayName(value string) TensorSummaryAttr + func TensorSummaryLabels(value []string) TensorSummaryAttr + type TextLineDatasetAttr func(optionalAttr) + func TextLineDatasetMetadata(value string) TextLineDatasetAttr + type TextLineReaderV2Attr func(optionalAttr) + func TextLineReaderV2Container(value string) TextLineReaderV2Attr + func TextLineReaderV2SharedName(value string) TextLineReaderV2Attr + func TextLineReaderV2SkipHeaderLines(value int64) TextLineReaderV2Attr + type ThreadPoolHandleAttr func(optionalAttr) + func ThreadPoolHandleContainer(value string) ThreadPoolHandleAttr + func ThreadPoolHandleMaxIntraOpParallelism(value int64) ThreadPoolHandleAttr + func ThreadPoolHandleSharedName(value string) ThreadPoolHandleAttr + type ThreadUnsafeUnigramCandidateSamplerAttr func(optionalAttr) + func ThreadUnsafeUnigramCandidateSamplerSeed(value int64) ThreadUnsafeUnigramCandidateSamplerAttr + func ThreadUnsafeUnigramCandidateSamplerSeed2(value int64) ThreadUnsafeUnigramCandidateSamplerAttr + type TopKAttr func(optionalAttr) + func TopKSorted(value bool) TopKAttr + type TopKV2Attr func(optionalAttr) + func TopKV2Sorted(value bool) TopKV2Attr + type TridiagonalSolveAttr func(optionalAttr) + func TridiagonalSolvePartialPivoting(value bool) TridiagonalSolveAttr + func TridiagonalSolvePerturbSingular(value bool) TridiagonalSolveAttr + type TruncatedNormalAttr func(optionalAttr) + func TruncatedNormalSeed(value int64) TruncatedNormalAttr + func TruncatedNormalSeed2(value int64) TruncatedNormalAttr + type UnbatchAttr func(optionalAttr) + func UnbatchContainer(value string) UnbatchAttr + func UnbatchSharedName(value string) UnbatchAttr + type UnbatchDatasetAttr func(optionalAttr) + func UnbatchDatasetMetadata(value string) UnbatchDatasetAttr + type UnbatchGradAttr func(optionalAttr) + func UnbatchGradContainer(value string) UnbatchGradAttr + func UnbatchGradSharedName(value string) UnbatchGradAttr + type UnicodeDecodeAttr func(optionalAttr) + func UnicodeDecodeErrors(value string) UnicodeDecodeAttr + func UnicodeDecodeReplaceControlCharacters(value bool) UnicodeDecodeAttr + func UnicodeDecodeReplacementChar(value int64) UnicodeDecodeAttr + func UnicodeDecodeTsplits(value tf.DataType) UnicodeDecodeAttr + type UnicodeDecodeWithOffsetsAttr func(optionalAttr) + func UnicodeDecodeWithOffsetsErrors(value string) UnicodeDecodeWithOffsetsAttr + func UnicodeDecodeWithOffsetsReplaceControlCharacters(value bool) UnicodeDecodeWithOffsetsAttr + func UnicodeDecodeWithOffsetsReplacementChar(value int64) UnicodeDecodeWithOffsetsAttr + func UnicodeDecodeWithOffsetsTsplits(value tf.DataType) UnicodeDecodeWithOffsetsAttr + type UnicodeEncodeAttr func(optionalAttr) + func UnicodeEncodeErrors(value string) UnicodeEncodeAttr + func UnicodeEncodeReplacementChar(value int64) UnicodeEncodeAttr + type UnicodeTranscodeAttr func(optionalAttr) + func UnicodeTranscodeErrors(value string) UnicodeTranscodeAttr + func UnicodeTranscodeReplaceControlCharacters(value bool) UnicodeTranscodeAttr + func UnicodeTranscodeReplacementChar(value int64) UnicodeTranscodeAttr + type UniformCandidateSamplerAttr func(optionalAttr) + func UniformCandidateSamplerSeed(value int64) UniformCandidateSamplerAttr + func UniformCandidateSamplerSeed2(value int64) UniformCandidateSamplerAttr + type UniqueAttr func(optionalAttr) + func UniqueOutIdx(value tf.DataType) UniqueAttr + type UniqueDatasetAttr func(optionalAttr) + func UniqueDatasetMetadata(value string) UniqueDatasetAttr + type UniqueV2Attr func(optionalAttr) + func UniqueV2OutIdx(value tf.DataType) UniqueV2Attr + type UniqueWithCountsAttr func(optionalAttr) + func UniqueWithCountsOutIdx(value tf.DataType) UniqueWithCountsAttr + type UniqueWithCountsV2Attr func(optionalAttr) + func UniqueWithCountsV2OutIdx(value tf.DataType) UniqueWithCountsV2Attr + type UnpackAttr func(optionalAttr) + func UnpackAxis(value int64) UnpackAttr + type UnsortedSegmentJoinAttr func(optionalAttr) + func UnsortedSegmentJoinSeparator(value string) UnsortedSegmentJoinAttr + type UnstageAttr func(optionalAttr) + func UnstageCapacity(value int64) UnstageAttr + func UnstageContainer(value string) UnstageAttr + func UnstageMemoryLimit(value int64) UnstageAttr + func UnstageSharedName(value string) UnstageAttr + type UpperBoundAttr func(optionalAttr) + func UpperBoundOutType(value tf.DataType) UpperBoundAttr + type VarHandleOpAttr func(optionalAttr) + func VarHandleOpAllowedDevices(value []string) VarHandleOpAttr + func VarHandleOpContainer(value string) VarHandleOpAttr + func VarHandleOpSharedName(value string) VarHandleOpAttr + type VariableShapeAttr func(optionalAttr) + func VariableShapeOutType(value tf.DataType) VariableShapeAttr + type WholeFileReaderV2Attr func(optionalAttr) + func WholeFileReaderV2Container(value string) WholeFileReaderV2Attr + func WholeFileReaderV2SharedName(value string) WholeFileReaderV2Attr + type WindowDatasetAttr func(optionalAttr) + func WindowDatasetMetadata(value string) WindowDatasetAttr + type WriteAudioSummaryAttr func(optionalAttr) + func WriteAudioSummaryMaxOutputs(value int64) WriteAudioSummaryAttr + type WriteImageSummaryAttr func(optionalAttr) + func WriteImageSummaryMaxImages(value int64) WriteImageSummaryAttr + type XlaConcatNDAttr func(optionalAttr) + func XlaConcatNDPaddings(value []int64) XlaConcatNDAttr + type XlaConvV2Attr func(optionalAttr) + func XlaConvV2BatchGroupCount(value int64) XlaConvV2Attr + type XlaRngBitGeneratorAttr func(optionalAttr) + func XlaRngBitGeneratorDtype(value tf.DataType) XlaRngBitGeneratorAttr + type XlaShardingAttr func(optionalAttr) + func XlaShardingSharding(value string) XlaShardingAttr + func XlaShardingUnspecifiedDims(value []int64) XlaShardingAttr + type XlaSplitNDAttr func(optionalAttr) + func XlaSplitNDPaddings(value []int64) XlaSplitNDAttr + type XlaSpmdFullToShardShapeAttr func(optionalAttr) + func XlaSpmdFullToShardShapeDim(value int64) XlaSpmdFullToShardShapeAttr + func XlaSpmdFullToShardShapeUnspecifiedDims(value []int64) XlaSpmdFullToShardShapeAttr + type XlaSpmdShardToFullShapeAttr func(optionalAttr) + func XlaSpmdShardToFullShapeDim(value int64) XlaSpmdShardToFullShapeAttr + func XlaSpmdShardToFullShapeUnspecifiedDims(value []int64) XlaSpmdShardToFullShapeAttr + type ZipDatasetAttr func(optionalAttr) + func ZipDatasetMetadata(value string) ZipDatasetAttr