v1beta2

package
v0.32.0 Latest Latest
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 Go to latest Published: Nov 29, 2023 License: Apache-2.0 Imports: 7 Imported by: 0

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Functions

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Types

type LookupModelArgs added in v0.4.0 

type LookupModelArgs struct {
	ModelId string  `pulumi:"modelId"`
	Project *string `pulumi:"project"`
}

type LookupModelOutputArgs added in v0.8.0 

type LookupModelOutputArgs struct {
	ModelId pulumi.StringInput    `pulumi:"modelId"`
	Project pulumi.StringPtrInput `pulumi:"project"`
}

func (LookupModelOutputArgs) ElementType added in v0.8.0 

func (LookupModelOutputArgs) ElementType() reflect.Type

type LookupModelResult added in v0.4.0 

type LookupModelResult struct {
	// Lists operation ids associated with this model whose status is NOT done.
	ActiveOperations []OperationResponse `pulumi:"activeOperations"`
	// Timestamp when this model was created in Firebase ML.
	CreateTime string `pulumi:"createTime"`
	// The name of the model to create. The name can be up to 32 characters long and can consist only of ASCII Latin letters A-Z and a-z, underscores(_) and ASCII digits 0-9. It must start with a letter.
	DisplayName string `pulumi:"displayName"`
	// See RFC7232 https://tools.ietf.org/html/rfc7232#section-2.3
	Etag string `pulumi:"etag"`
	// The model_hash will change if a new file is available for download.
	ModelHash string `pulumi:"modelHash"`
	// The resource name of the Model. Model names have the form `projects/{project_id}/models/{model_id}` The name is ignored when creating a model.
	Name string `pulumi:"name"`
	// State common to all model types. Includes publishing and validation information.
	State ModelStateResponse `pulumi:"state"`
	// User defined tags which can be used to group/filter models during listing
	Tags []string `pulumi:"tags"`
	// A TFLite Model
	TfliteModel TfLiteModelResponse `pulumi:"tfliteModel"`
	// Timestamp when this model was updated in Firebase ML.
	UpdateTime string `pulumi:"updateTime"`
}

func LookupModel added in v0.4.0 

func LookupModel(ctx *pulumi.Context, args *LookupModelArgs, opts ...pulumi.InvokeOption) (*LookupModelResult, error)

Gets a model resource.

type LookupModelResultOutput added in v0.8.0 

type LookupModelResultOutput struct{ *pulumi.OutputState }

func LookupModelOutput added in v0.8.0 

func LookupModelOutput(ctx *pulumi.Context, args LookupModelOutputArgs, opts ...pulumi.InvokeOption) LookupModelResultOutput

func (LookupModelResultOutput) ActiveOperations added in v0.8.0 

func (o LookupModelResultOutput) ActiveOperations() OperationResponseArrayOutput

Lists operation ids associated with this model whose status is NOT done.

func (LookupModelResultOutput) CreateTime added in v0.8.0 

func (o LookupModelResultOutput) CreateTime() pulumi.StringOutput

Timestamp when this model was created in Firebase ML.

func (LookupModelResultOutput) DisplayName added in v0.8.0 

func (o LookupModelResultOutput) DisplayName() pulumi.StringOutput

The name of the model to create. The name can be up to 32 characters long and can consist only of ASCII Latin letters A-Z and a-z, underscores(_) and ASCII digits 0-9. It must start with a letter.

func (LookupModelResultOutput) ElementType added in v0.8.0 

func (LookupModelResultOutput) ElementType() reflect.Type

func (LookupModelResultOutput) Etag added in v0.8.0 

func (o LookupModelResultOutput) Etag() pulumi.StringOutput

See RFC7232 https://tools.ietf.org/html/rfc7232#section-2.3

func (LookupModelResultOutput) ModelHash added in v0.8.0 

func (o LookupModelResultOutput) ModelHash() pulumi.StringOutput

The model_hash will change if a new file is available for download.

func (LookupModelResultOutput) Name added in v0.8.0 

func (o LookupModelResultOutput) Name() pulumi.StringOutput

The resource name of the Model. Model names have the form `projects/{project_id}/models/{model_id}` The name is ignored when creating a model.

func (LookupModelResultOutput) State added in v0.8.0 

func (o LookupModelResultOutput) State() ModelStateResponseOutput

State common to all model types. Includes publishing and validation information.

func (LookupModelResultOutput) Tags added in v0.8.0 

func (o LookupModelResultOutput) Tags() pulumi.StringArrayOutput

User defined tags which can be used to group/filter models during listing

func (LookupModelResultOutput) TfliteModel added in v0.8.0 

func (o LookupModelResultOutput) TfliteModel() TfLiteModelResponseOutput

A TFLite Model

func (LookupModelResultOutput) ToLookupModelResultOutput added in v0.8.0 

func (o LookupModelResultOutput) ToLookupModelResultOutput() LookupModelResultOutput

func (LookupModelResultOutput) ToLookupModelResultOutputWithContext added in v0.8.0 

func (o LookupModelResultOutput) ToLookupModelResultOutputWithContext(ctx context.Context) LookupModelResultOutput

func (LookupModelResultOutput) UpdateTime added in v0.8.0 

func (o LookupModelResultOutput) UpdateTime() pulumi.StringOutput

Timestamp when this model was updated in Firebase ML.

type Model 

type Model struct {
	pulumi.CustomResourceState

	// Lists operation ids associated with this model whose status is NOT done.
	ActiveOperations OperationResponseArrayOutput `pulumi:"activeOperations"`
	// Timestamp when this model was created in Firebase ML.
	CreateTime pulumi.StringOutput `pulumi:"createTime"`
	// The name of the model to create. The name can be up to 32 characters long and can consist only of ASCII Latin letters A-Z and a-z, underscores(_) and ASCII digits 0-9. It must start with a letter.
	DisplayName pulumi.StringOutput `pulumi:"displayName"`
	// See RFC7232 https://tools.ietf.org/html/rfc7232#section-2.3
	Etag pulumi.StringOutput `pulumi:"etag"`
	// The model_hash will change if a new file is available for download.
	ModelHash pulumi.StringOutput `pulumi:"modelHash"`
	// The resource name of the Model. Model names have the form `projects/{project_id}/models/{model_id}` The name is ignored when creating a model.
	Name    pulumi.StringOutput `pulumi:"name"`
	Project pulumi.StringOutput `pulumi:"project"`
	// State common to all model types. Includes publishing and validation information.
	State ModelStateResponseOutput `pulumi:"state"`
	// User defined tags which can be used to group/filter models during listing
	Tags pulumi.StringArrayOutput `pulumi:"tags"`
	// A TFLite Model
	TfliteModel TfLiteModelResponseOutput `pulumi:"tfliteModel"`
	// Timestamp when this model was updated in Firebase ML.
	UpdateTime pulumi.StringOutput `pulumi:"updateTime"`
}

Creates a model in Firebase ML. The longrunning operation will eventually return a Model

func GetModel 

func GetModel(ctx *pulumi.Context,
	name string, id pulumi.IDInput, state *ModelState, opts ...pulumi.ResourceOption) (*Model, error)

GetModel gets an existing Model resource's state with the given name, ID, and optional state properties that are used to uniquely qualify the lookup (nil if not required).

func NewModel 

func NewModel(ctx *pulumi.Context,
	name string, args *ModelArgs, opts ...pulumi.ResourceOption) (*Model, error)

NewModel registers a new resource with the given unique name, arguments, and options.

func (*Model) ElementType 

func (*Model) ElementType() reflect.Type

func (*Model) ToModelOutput 

func (i *Model) ToModelOutput() ModelOutput

func (*Model) ToModelOutputWithContext 

func (i *Model) ToModelOutputWithContext(ctx context.Context) ModelOutput

type ModelArgs 

type ModelArgs struct {
	// The name of the model to create. The name can be up to 32 characters long and can consist only of ASCII Latin letters A-Z and a-z, underscores(_) and ASCII digits 0-9. It must start with a letter.
	DisplayName pulumi.StringInput
	// The resource name of the Model. Model names have the form `projects/{project_id}/models/{model_id}` The name is ignored when creating a model.
	Name    pulumi.StringPtrInput
	Project pulumi.StringPtrInput
	// State common to all model types. Includes publishing and validation information.
	State ModelStateTypePtrInput
	// User defined tags which can be used to group/filter models during listing
	Tags pulumi.StringArrayInput
	// A TFLite Model
	TfliteModel TfLiteModelPtrInput
}

The set of arguments for constructing a Model resource.

func (ModelArgs) ElementType 

func (ModelArgs) ElementType() reflect.Type

type ModelInput 

type ModelInput interface {
	pulumi.Input

	ToModelOutput() ModelOutput
	ToModelOutputWithContext(ctx context.Context) ModelOutput
}

type ModelOutput 

type ModelOutput struct{ *pulumi.OutputState }

func (ModelOutput) ActiveOperations added in v0.19.0 

func (o ModelOutput) ActiveOperations() OperationResponseArrayOutput

Lists operation ids associated with this model whose status is NOT done.

func (ModelOutput) CreateTime added in v0.19.0 

func (o ModelOutput) CreateTime() pulumi.StringOutput

Timestamp when this model was created in Firebase ML.

func (ModelOutput) DisplayName added in v0.19.0 

func (o ModelOutput) DisplayName() pulumi.StringOutput

The name of the model to create. The name can be up to 32 characters long and can consist only of ASCII Latin letters A-Z and a-z, underscores(_) and ASCII digits 0-9. It must start with a letter.

func (ModelOutput) ElementType 

func (ModelOutput) ElementType() reflect.Type

func (ModelOutput) Etag added in v0.19.0 

func (o ModelOutput) Etag() pulumi.StringOutput

See RFC7232 https://tools.ietf.org/html/rfc7232#section-2.3

func (ModelOutput) ModelHash added in v0.19.0 

func (o ModelOutput) ModelHash() pulumi.StringOutput

The model_hash will change if a new file is available for download.

func (ModelOutput) Name added in v0.19.0 

func (o ModelOutput) Name() pulumi.StringOutput

The resource name of the Model. Model names have the form `projects/{project_id}/models/{model_id}` The name is ignored when creating a model.

func (ModelOutput) Project added in v0.21.0 

func (o ModelOutput) Project() pulumi.StringOutput

func (ModelOutput) State added in v0.19.0 

func (o ModelOutput) State() ModelStateResponseOutput

State common to all model types. Includes publishing and validation information.

func (ModelOutput) Tags added in v0.19.0 

func (o ModelOutput) Tags() pulumi.StringArrayOutput

User defined tags which can be used to group/filter models during listing

func (ModelOutput) TfliteModel added in v0.19.0 

func (o ModelOutput) TfliteModel() TfLiteModelResponseOutput

A TFLite Model

func (ModelOutput) ToModelOutput 

func (o ModelOutput) ToModelOutput() ModelOutput

func (ModelOutput) ToModelOutputWithContext 

func (o ModelOutput) ToModelOutputWithContext(ctx context.Context) ModelOutput

func (ModelOutput) UpdateTime added in v0.19.0 

func (o ModelOutput) UpdateTime() pulumi.StringOutput

Timestamp when this model was updated in Firebase ML.

type ModelState 

type ModelState struct {
}

func (ModelState) ElementType 

func (ModelState) ElementType() reflect.Type

type ModelStateResponse 

type ModelStateResponse struct {
	// Indicates if this model has been published.
	Published bool `pulumi:"published"`
	// Indicates the latest validation error on the model if any. A model may have validation errors if there were problems during the model creation/update. e.g. in the case of a TfLiteModel, if a tflite model file was missing or in the wrong format. This field will be empty for valid models.
	ValidationError StatusResponse `pulumi:"validationError"`
}

State common to all model types. Includes publishing and validation information.

type ModelStateResponseOutput 

type ModelStateResponseOutput struct{ *pulumi.OutputState }

State common to all model types. Includes publishing and validation information.

func (ModelStateResponseOutput) ElementType 

func (ModelStateResponseOutput) ElementType() reflect.Type

func (ModelStateResponseOutput) Published 

func (o ModelStateResponseOutput) Published() pulumi.BoolOutput

Indicates if this model has been published.

func (ModelStateResponseOutput) ToModelStateResponseOutput 

func (o ModelStateResponseOutput) ToModelStateResponseOutput() ModelStateResponseOutput

func (ModelStateResponseOutput) ToModelStateResponseOutputWithContext 

func (o ModelStateResponseOutput) ToModelStateResponseOutputWithContext(ctx context.Context) ModelStateResponseOutput

func (ModelStateResponseOutput) ValidationError 

func (o ModelStateResponseOutput) ValidationError() StatusResponseOutput

Indicates the latest validation error on the model if any. A model may have validation errors if there were problems during the model creation/update. e.g. in the case of a TfLiteModel, if a tflite model file was missing or in the wrong format. This field will be empty for valid models.

type ModelStateType 

type ModelStateType struct {
	// Indicates if this model has been published.
	Published *bool `pulumi:"published"`
}

State common to all model types. Includes publishing and validation information.

type ModelStateTypeArgs 

type ModelStateTypeArgs struct {
	// Indicates if this model has been published.
	Published pulumi.BoolPtrInput `pulumi:"published"`
}

State common to all model types. Includes publishing and validation information.

func (ModelStateTypeArgs) ElementType 

func (ModelStateTypeArgs) ElementType() reflect.Type

func (ModelStateTypeArgs) ToModelStateTypeOutput 

func (i ModelStateTypeArgs) ToModelStateTypeOutput() ModelStateTypeOutput

func (ModelStateTypeArgs) ToModelStateTypeOutputWithContext 

func (i ModelStateTypeArgs) ToModelStateTypeOutputWithContext(ctx context.Context) ModelStateTypeOutput

func (ModelStateTypeArgs) ToModelStateTypePtrOutput 

func (i ModelStateTypeArgs) ToModelStateTypePtrOutput() ModelStateTypePtrOutput

func (ModelStateTypeArgs) ToModelStateTypePtrOutputWithContext 

func (i ModelStateTypeArgs) ToModelStateTypePtrOutputWithContext(ctx context.Context) ModelStateTypePtrOutput

type ModelStateTypeInput 

type ModelStateTypeInput interface {
	pulumi.Input

	ToModelStateTypeOutput() ModelStateTypeOutput
	ToModelStateTypeOutputWithContext(context.Context) ModelStateTypeOutput
}

ModelStateTypeInput is an input type that accepts ModelStateTypeArgs and ModelStateTypeOutput values. You can construct a concrete instance of `ModelStateTypeInput` via: 

ModelStateTypeArgs{...}

type ModelStateTypeOutput 

type ModelStateTypeOutput struct{ *pulumi.OutputState }

State common to all model types. Includes publishing and validation information.

func (ModelStateTypeOutput) ElementType 

func (ModelStateTypeOutput) ElementType() reflect.Type

func (ModelStateTypeOutput) Published 

func (o ModelStateTypeOutput) Published() pulumi.BoolPtrOutput

Indicates if this model has been published.

func (ModelStateTypeOutput) ToModelStateTypeOutput 

func (o ModelStateTypeOutput) ToModelStateTypeOutput() ModelStateTypeOutput

func (ModelStateTypeOutput) ToModelStateTypeOutputWithContext 

func (o ModelStateTypeOutput) ToModelStateTypeOutputWithContext(ctx context.Context) ModelStateTypeOutput

func (ModelStateTypeOutput) ToModelStateTypePtrOutput 

func (o ModelStateTypeOutput) ToModelStateTypePtrOutput() ModelStateTypePtrOutput

func (ModelStateTypeOutput) ToModelStateTypePtrOutputWithContext 

func (o ModelStateTypeOutput) ToModelStateTypePtrOutputWithContext(ctx context.Context) ModelStateTypePtrOutput

type ModelStateTypePtrInput 

type ModelStateTypePtrInput interface {
	pulumi.Input

	ToModelStateTypePtrOutput() ModelStateTypePtrOutput
	ToModelStateTypePtrOutputWithContext(context.Context) ModelStateTypePtrOutput
}

ModelStateTypePtrInput is an input type that accepts ModelStateTypeArgs, ModelStateTypePtr and ModelStateTypePtrOutput values. You can construct a concrete instance of `ModelStateTypePtrInput` via: 

        ModelStateTypeArgs{...}

or:

        nil

func ModelStateTypePtr 

func ModelStateTypePtr(v *ModelStateTypeArgs) ModelStateTypePtrInput

type ModelStateTypePtrOutput 

type ModelStateTypePtrOutput struct{ *pulumi.OutputState }

func (ModelStateTypePtrOutput) Elem 

func (o ModelStateTypePtrOutput) Elem() ModelStateTypeOutput

func (ModelStateTypePtrOutput) ElementType 

func (ModelStateTypePtrOutput) ElementType() reflect.Type

func (ModelStateTypePtrOutput) Published 

func (o ModelStateTypePtrOutput) Published() pulumi.BoolPtrOutput

Indicates if this model has been published.

func (ModelStateTypePtrOutput) ToModelStateTypePtrOutput 

func (o ModelStateTypePtrOutput) ToModelStateTypePtrOutput() ModelStateTypePtrOutput

func (ModelStateTypePtrOutput) ToModelStateTypePtrOutputWithContext 

func (o ModelStateTypePtrOutput) ToModelStateTypePtrOutputWithContext(ctx context.Context) ModelStateTypePtrOutput

type OperationResponse 

type OperationResponse struct {
	// If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.
	Done bool `pulumi:"done"`
	// The error result of the operation in case of failure or cancellation.
	Error StatusResponse `pulumi:"error"`
	// Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.
	Metadata map[string]string `pulumi:"metadata"`
	// The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.
	Name string `pulumi:"name"`
	// The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.
	Response map[string]string `pulumi:"response"`
}

This resource represents a long-running operation that is the result of a network API call.

type OperationResponseArrayOutput 

type OperationResponseArrayOutput struct{ *pulumi.OutputState }

func (OperationResponseArrayOutput) ElementType 

func (OperationResponseArrayOutput) ElementType() reflect.Type

func (OperationResponseArrayOutput) Index 

func (o OperationResponseArrayOutput) Index(i pulumi.IntInput) OperationResponseOutput

func (OperationResponseArrayOutput) ToOperationResponseArrayOutput 

func (o OperationResponseArrayOutput) ToOperationResponseArrayOutput() OperationResponseArrayOutput

func (OperationResponseArrayOutput) ToOperationResponseArrayOutputWithContext 

func (o OperationResponseArrayOutput) ToOperationResponseArrayOutputWithContext(ctx context.Context) OperationResponseArrayOutput

type OperationResponseOutput 

type OperationResponseOutput struct{ *pulumi.OutputState }

This resource represents a long-running operation that is the result of a network API call.

func (OperationResponseOutput) Done 

func (o OperationResponseOutput) Done() pulumi.BoolOutput

If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.

func (OperationResponseOutput) ElementType 

func (OperationResponseOutput) ElementType() reflect.Type

func (OperationResponseOutput) Error 

func (o OperationResponseOutput) Error() StatusResponseOutput

The error result of the operation in case of failure or cancellation.

func (OperationResponseOutput) Metadata 

func (o OperationResponseOutput) Metadata() pulumi.StringMapOutput

Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.

func (OperationResponseOutput) Name 

func (o OperationResponseOutput) Name() pulumi.StringOutput

The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.

func (OperationResponseOutput) Response 

func (o OperationResponseOutput) Response() pulumi.StringMapOutput

The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.

func (OperationResponseOutput) ToOperationResponseOutput 

func (o OperationResponseOutput) ToOperationResponseOutput() OperationResponseOutput

func (OperationResponseOutput) ToOperationResponseOutputWithContext 

func (o OperationResponseOutput) ToOperationResponseOutputWithContext(ctx context.Context) OperationResponseOutput

type StatusResponse 

type StatusResponse struct {
	// The status code, which should be an enum value of google.rpc.Code.
	Code int `pulumi:"code"`
	// A list of messages that carry the error details. There is a common set of message types for APIs to use.
	Details []map[string]string `pulumi:"details"`
	// A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
	Message string `pulumi:"message"`
}

The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors).

type StatusResponseOutput 

type StatusResponseOutput struct{ *pulumi.OutputState }

The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors).

func (StatusResponseOutput) Code 

func (o StatusResponseOutput) Code() pulumi.IntOutput

The status code, which should be an enum value of google.rpc.Code.

func (StatusResponseOutput) Details 

func (o StatusResponseOutput) Details() pulumi.StringMapArrayOutput

A list of messages that carry the error details. There is a common set of message types for APIs to use.

func (StatusResponseOutput) ElementType 

func (StatusResponseOutput) ElementType() reflect.Type

func (StatusResponseOutput) Message 

func (o StatusResponseOutput) Message() pulumi.StringOutput

A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.

func (StatusResponseOutput) ToStatusResponseOutput 

func (o StatusResponseOutput) ToStatusResponseOutput() StatusResponseOutput

func (StatusResponseOutput) ToStatusResponseOutputWithContext 

func (o StatusResponseOutput) ToStatusResponseOutputWithContext(ctx context.Context) StatusResponseOutput

type TfLiteModel 

type TfLiteModel struct {
	// The AutoML model id referencing a model you created with the AutoML API. The name should have format 'projects//locations//models/' (This is the model resource name returned from the AutoML API)
	AutomlModel *string `pulumi:"automlModel"`
	// The TfLite file containing the model. (Stored in Google Cloud). The gcs_tflite_uri should have form: gs://some-bucket/some-model.tflite Note: If you update the file in the original location, it is necessary to call UpdateModel for ML to pick up and validate the updated file.
	GcsTfliteUri *string `pulumi:"gcsTfliteUri"`
}

Information that is specific to TfLite models.

type TfLiteModelArgs 

type TfLiteModelArgs struct {
	// The AutoML model id referencing a model you created with the AutoML API. The name should have format 'projects//locations//models/' (This is the model resource name returned from the AutoML API)
	AutomlModel pulumi.StringPtrInput `pulumi:"automlModel"`
	// The TfLite file containing the model. (Stored in Google Cloud). The gcs_tflite_uri should have form: gs://some-bucket/some-model.tflite Note: If you update the file in the original location, it is necessary to call UpdateModel for ML to pick up and validate the updated file.
	GcsTfliteUri pulumi.StringPtrInput `pulumi:"gcsTfliteUri"`
}

Information that is specific to TfLite models.

func (TfLiteModelArgs) ElementType 

func (TfLiteModelArgs) ElementType() reflect.Type

func (TfLiteModelArgs) ToTfLiteModelOutput 

func (i TfLiteModelArgs) ToTfLiteModelOutput() TfLiteModelOutput

func (TfLiteModelArgs) ToTfLiteModelOutputWithContext 

func (i TfLiteModelArgs) ToTfLiteModelOutputWithContext(ctx context.Context) TfLiteModelOutput

func (TfLiteModelArgs) ToTfLiteModelPtrOutput 

func (i TfLiteModelArgs) ToTfLiteModelPtrOutput() TfLiteModelPtrOutput

func (TfLiteModelArgs) ToTfLiteModelPtrOutputWithContext 

func (i TfLiteModelArgs) ToTfLiteModelPtrOutputWithContext(ctx context.Context) TfLiteModelPtrOutput

type TfLiteModelInput 

type TfLiteModelInput interface {
	pulumi.Input

	ToTfLiteModelOutput() TfLiteModelOutput
	ToTfLiteModelOutputWithContext(context.Context) TfLiteModelOutput
}

TfLiteModelInput is an input type that accepts TfLiteModelArgs and TfLiteModelOutput values. You can construct a concrete instance of `TfLiteModelInput` via: 

TfLiteModelArgs{...}

type TfLiteModelOutput 

type TfLiteModelOutput struct{ *pulumi.OutputState }

Information that is specific to TfLite models.

func (TfLiteModelOutput) AutomlModel 

func (o TfLiteModelOutput) AutomlModel() pulumi.StringPtrOutput

The AutoML model id referencing a model you created with the AutoML API. The name should have format 'projects//locations//models/' (This is the model resource name returned from the AutoML API)

func (TfLiteModelOutput) ElementType 

func (TfLiteModelOutput) ElementType() reflect.Type

func (TfLiteModelOutput) GcsTfliteUri 

func (o TfLiteModelOutput) GcsTfliteUri() pulumi.StringPtrOutput

The TfLite file containing the model. (Stored in Google Cloud). The gcs_tflite_uri should have form: gs://some-bucket/some-model.tflite Note: If you update the file in the original location, it is necessary to call UpdateModel for ML to pick up and validate the updated file.

func (TfLiteModelOutput) ToTfLiteModelOutput 

func (o TfLiteModelOutput) ToTfLiteModelOutput() TfLiteModelOutput

func (TfLiteModelOutput) ToTfLiteModelOutputWithContext 

func (o TfLiteModelOutput) ToTfLiteModelOutputWithContext(ctx context.Context) TfLiteModelOutput

func (TfLiteModelOutput) ToTfLiteModelPtrOutput 

func (o TfLiteModelOutput) ToTfLiteModelPtrOutput() TfLiteModelPtrOutput

func (TfLiteModelOutput) ToTfLiteModelPtrOutputWithContext 

func (o TfLiteModelOutput) ToTfLiteModelPtrOutputWithContext(ctx context.Context) TfLiteModelPtrOutput

type TfLiteModelPtrInput 

type TfLiteModelPtrInput interface {
	pulumi.Input

	ToTfLiteModelPtrOutput() TfLiteModelPtrOutput
	ToTfLiteModelPtrOutputWithContext(context.Context) TfLiteModelPtrOutput
}

TfLiteModelPtrInput is an input type that accepts TfLiteModelArgs, TfLiteModelPtr and TfLiteModelPtrOutput values. You can construct a concrete instance of `TfLiteModelPtrInput` via: 

        TfLiteModelArgs{...}

or:

        nil

func TfLiteModelPtr 

func TfLiteModelPtr(v *TfLiteModelArgs) TfLiteModelPtrInput

type TfLiteModelPtrOutput 

type TfLiteModelPtrOutput struct{ *pulumi.OutputState }

func (TfLiteModelPtrOutput) AutomlModel 

func (o TfLiteModelPtrOutput) AutomlModel() pulumi.StringPtrOutput

The AutoML model id referencing a model you created with the AutoML API. The name should have format 'projects//locations//models/' (This is the model resource name returned from the AutoML API)

func (TfLiteModelPtrOutput) Elem 

func (o TfLiteModelPtrOutput) Elem() TfLiteModelOutput

func (TfLiteModelPtrOutput) ElementType 

func (TfLiteModelPtrOutput) ElementType() reflect.Type

func (TfLiteModelPtrOutput) GcsTfliteUri 

func (o TfLiteModelPtrOutput) GcsTfliteUri() pulumi.StringPtrOutput

The TfLite file containing the model. (Stored in Google Cloud). The gcs_tflite_uri should have form: gs://some-bucket/some-model.tflite Note: If you update the file in the original location, it is necessary to call UpdateModel for ML to pick up and validate the updated file.

func (TfLiteModelPtrOutput) ToTfLiteModelPtrOutput 

func (o TfLiteModelPtrOutput) ToTfLiteModelPtrOutput() TfLiteModelPtrOutput

func (TfLiteModelPtrOutput) ToTfLiteModelPtrOutputWithContext 

func (o TfLiteModelPtrOutput) ToTfLiteModelPtrOutputWithContext(ctx context.Context) TfLiteModelPtrOutput

type TfLiteModelResponse 

type TfLiteModelResponse struct {
	// The AutoML model id referencing a model you created with the AutoML API. The name should have format 'projects//locations//models/' (This is the model resource name returned from the AutoML API)
	AutomlModel string `pulumi:"automlModel"`
	// The TfLite file containing the model. (Stored in Google Cloud). The gcs_tflite_uri should have form: gs://some-bucket/some-model.tflite Note: If you update the file in the original location, it is necessary to call UpdateModel for ML to pick up and validate the updated file.
	GcsTfliteUri string `pulumi:"gcsTfliteUri"`
	// The size of the TFLite model
	SizeBytes string `pulumi:"sizeBytes"`
}

Information that is specific to TfLite models.

type TfLiteModelResponseOutput 

type TfLiteModelResponseOutput struct{ *pulumi.OutputState }

Information that is specific to TfLite models.

func (TfLiteModelResponseOutput) AutomlModel 

func (o TfLiteModelResponseOutput) AutomlModel() pulumi.StringOutput

The AutoML model id referencing a model you created with the AutoML API. The name should have format 'projects//locations//models/' (This is the model resource name returned from the AutoML API)

func (TfLiteModelResponseOutput) ElementType 

func (TfLiteModelResponseOutput) ElementType() reflect.Type

func (TfLiteModelResponseOutput) GcsTfliteUri 

func (o TfLiteModelResponseOutput) GcsTfliteUri() pulumi.StringOutput

The TfLite file containing the model. (Stored in Google Cloud). The gcs_tflite_uri should have form: gs://some-bucket/some-model.tflite Note: If you update the file in the original location, it is necessary to call UpdateModel for ML to pick up and validate the updated file.

func (TfLiteModelResponseOutput) SizeBytes 

func (o TfLiteModelResponseOutput) SizeBytes() pulumi.StringOutput

The size of the TFLite model

func (TfLiteModelResponseOutput) ToTfLiteModelResponseOutput 

func (o TfLiteModelResponseOutput) ToTfLiteModelResponseOutput() TfLiteModelResponseOutput

func (TfLiteModelResponseOutput) ToTfLiteModelResponseOutputWithContext 

func (o TfLiteModelResponseOutput) ToTfLiteModelResponseOutputWithContext(ctx context.Context) TfLiteModelResponseOutput

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