README
¶
PACKAGE
package cu
import "github.com/barnex/cuda5/cu"
Go bindings for the CUDA driver API.
CONSTANTS
const (
// If the number of contexts > number of CPUs, yield to other OS threads when waiting for the GPU, otherwise CUDA spin on the processor.
CTX_SCHED_AUTO = C.CU_CTX_SCHED_AUTO
// Spin when waiting for results from the GPU.
CTX_SCHED_SPIN = C.CU_CTX_SCHED_SPIN
// Yield its thread when waiting for results from the GPU.
CTX_SCHED_YIELD = C.CU_CTX_SCHED_YIELD
// Bock the CPU thread on a synchronization primitive when waiting for the GPU to finish work.
CTX_BLOCKING_SYNC
// Support mapped pinned allocations. This flag must be set in order to allocate pinned host memory that is accessible to the GPU.
CTX_MAP_HOST = C.CU_CTX_MAP_HOST
//Do not reduce local memory after resizing local memory for a kernel.
CTX_LMEM_RESIZE_TO_MAX = C.CU_CTX_LMEM_RESIZE_TO_MAX
)
Flags for CtxCreate
const (
SIZEOF_FLOAT32 = 4
SIZEOF_FLOAT64 = 8
SIZEOF_COMPLEX64 = 8
SIZEOF_COMPLEX128 = 16
)
Type size in bytes
FUNCTIONS
func CtxDestroy(ctx *Context)
Destroys the CUDA context specified by ctx. If the context usage count
is not equal to 1, or the context is current to any CPU thread other
than the current one, this function fails. Floating contexts (detached
from a CPU thread via cuCtxPopCurrent()) may be destroyed by this
function.
func CtxDisablePeerAccess(peer Context)
Reverses CtxEnablePeerAccess().
func CtxEnablePeerAccess(peer Context)
Make allocations from the peer Context available to the current context.
func CtxGetApiVersion(ctx Context) (version int)
Returns the API version to create the context.
func CtxSetCurrent(ctx Context)
Sets the current active context.
func CtxSynchronize()
Blocks until the device has completed all preceding requested tasks, if
the context was created with the CU_CTX_SCHED_BLOCKING_SYNC flag.
func DeviceCanAccessPeer(dev, peer Device) bool
Returns true if CtxEnablePeerAccess can be called on a context for dev
and peerDev.
func DeviceComputeCapability(device Device) (major, minor int)
Returns the compute capability of the device.
func DeviceGetAttribute(attrib DeviceAttribute, dev Device) int
Gets the value of a device attribute.
func DeviceGetCount() int
Returns the number of devices with compute capability greater than or
equal to 1.0 that are available for execution.
func DeviceGetName(dev Device) string
Gets the name of the device.
func DeviceTotalMem(device Device) int64
Returns the total amount of memory available on the device in bytes.
func FuncGetAttribute(attrib FunctionAttribute, function Function) int
func Init(flags int)
Initialize the CUDA driver API. Currently, flags must be 0. If Init()
has not been called, any function from the driver API will panic with
ERROR_NOT_INITIALIZED.
func LaunchKernel(f Function, gridDimX, gridDimY, gridDimZ int, blockDimX, blockDimY, blockDimZ int, sharedMemBytes int, stream Stream, kernelParams []unsafe.Pointer)
func MemAllocHost(bytes int64) unsafe.Pointer
func MemFree(ptr *DevicePtr)
Frees device memory allocated by MemAlloc(). Overwrites the pointer with
NULL. It is safe to double-free.
func MemFreeHost(ptr unsafe.Pointer)
func MemGetAddressRange(ptr DevicePtr) (bytes int64, base DevicePtr)
Returns the base address and size of the allocation (by MemAlloc) that
contains the input pointer ptr.
func MemGetInfo() (free, total int64)
Returns the free and total amount of memroy in the current Context (in
bytes).
func MemHostRegister(ptr unsafe.Pointer, bytes int64, flags MemHostRegisterFlag)
Page-locks memory specified by the pointer and bytes. The pointer and
byte size must be aligned to the host page size (4KB) See also:
MemHostUnregister()
func MemHostUnregister(ptr unsafe.Pointer)
Unmaps memory locked by MemHostRegister().
func Memcpy(dst, src DevicePtr, bytes int64)
Copies a number of bytes on the current device. Requires unified
addressing to be supported. See also: MemcpyDtoD(). TODO(a): is actually
an auto copy for device and/or host memory
func MemcpyAsync(dst, src DevicePtr, bytes int64, stream Stream)
Asynchronously copies a number of bytes on the current device.
func MemcpyDtoD(dst, src DevicePtr, bytes int64)
Copies a number of bytes from host to device.
func MemcpyDtoDAsync(dst, src DevicePtr, bytes int64, stream Stream)
Asynchronously copies a number of bytes from host to device.
func MemcpyDtoH(dst unsafe.Pointer, src DevicePtr, bytes int64)
Copies a number of bytes from device to host.
func MemcpyDtoHAsync(dst unsafe.Pointer, src DevicePtr, bytes int64, stream Stream)
Asynchronously copies a number of bytes device host to host. The host
memory must be page-locked (see MemRegister)
func MemcpyHtoD(dst DevicePtr, src unsafe.Pointer, bytes int64)
Copies a number of bytes from host to device.
func MemcpyHtoDAsync(dst DevicePtr, src unsafe.Pointer, bytes int64, stream Stream)
Asynchronously copies a number of bytes from host to device. The host
memory must be page-locked (see MemRegister)
func MemcpyPeer(dst DevicePtr, dstCtx Context, src DevicePtr, srcCtx Context, bytes int64)
Copies from device memory in one context (device) to another.
func MemcpyPeerAsync(dst DevicePtr, dstCtx Context, src DevicePtr, srcCtx Context, bytes int64, stream Stream)
Asynchronously copies from device memory in one context (device) to
another.
func MemsetD32(deviceptr DevicePtr, value uint32, N int64)
Sets the first N 32-bit values of dst array to value. Asynchronous.
func MemsetD32Async(deviceptr DevicePtr, value uint32, N int64, stream Stream)
Asynchronously sets the first N 32-bit values of dst array to value.
func MemsetD8(deviceptr DevicePtr, value uint8, N int64)
Sets the first N 8-bit values of dst array to value. Asynchronous.
func MemsetD8Async(deviceptr DevicePtr, value uint8, N int64, stream Stream)
Asynchronously sets the first N 32-bit values of dst array to value.
func StreamDestroy(stream *Stream)
Destroys an asynchronous stream
func StreamSynchronize(stream Stream)
Blocks until the stream has completed.
func Version() int
Returns the CUDA driver version.
TYPES
type Context uintptr
CUDA context.
func CtxCreate(flags uint, dev Device) Context
Create a CUDA context.
func CtxGetCurrent() Context
Gets the current active context.
func (ctx Context) ApiVersion() (version int)
Returns the API version to create the context.
func (ctx *Context) Destroy()
Destroys the CUDA context.
func (peer Context) DisablePeerAccess()
Reverses EnablePeerAccess().
func (peer Context) EnablePeerAccess()
Make allocations from the peer Context available to the current context.
func (ctx Context) SetCurrent()
Sets the current active context.
type DevProp struct {
MaxThreadsPerBlock int
MaxThreadsDim [3]int
MaxGridSize [3]int
SharedMemPerBlock int
TotalConstantMemory int
SIMDWidth int
MemPitch int
RegsPerBlock int
ClockRate int
TextureAlign int
}
Device properties
func DeviceGetProperties(dev Device) (prop DevProp)
Returns the device's properties.
type Device int
CUDA Device number.
func CtxGetDevice() Device
Returns the ordinal of the current context's device.
func DeviceGet(ordinal int) Device
Returns in a device handle given an ordinal in the range [0,
DeviceGetCount()-1].
func (dev Device) Attribute(attrib DeviceAttribute) int
Gets the value of a device attribute.
func (dev Device) CanAccessPeer(peer Device) bool
Returns true if CtxEnablePeerAccess can be called on a context for dev
and peerDev.
func (device Device) ComputeCapability() (major, minor int)
Returns the compute capability of the device.
func (dev Device) Name() string
Gets the name of the device.
func (dev Device) Properties() DevProp
Returns the device's properties.
func (device Device) TotalMem() int64
Returns the total amount of memory available on the device in bytes.
type DeviceAttribute int
const (
MAX_THREADS_PER_BLOCK DeviceAttribute = C.CU_DEVICE_ATTRIBUTE_MAX_THREADS_PER_BLOCK // Maximum number of threads per block
MAX_BLOCK_DIM_X DeviceAttribute = C.CU_DEVICE_ATTRIBUTE_MAX_BLOCK_DIM_X // Maximum block dimension X
MAX_BLOCK_DIM_Y DeviceAttribute = C.CU_DEVICE_ATTRIBUTE_MAX_BLOCK_DIM_Y // Maximum block dimension Y
MAX_BLOCK_DIM_Z DeviceAttribute = C.CU_DEVICE_ATTRIBUTE_MAX_BLOCK_DIM_Z // Maximum block dimension Z
MAX_GRID_DIM_X DeviceAttribute = C.CU_DEVICE_ATTRIBUTE_MAX_GRID_DIM_X // Maximum grid dimension X
MAX_GRID_DIM_Y DeviceAttribute = C.CU_DEVICE_ATTRIBUTE_MAX_GRID_DIM_Y // Maximum grid dimension Y
MAX_GRID_DIM_Z DeviceAttribute = C.CU_DEVICE_ATTRIBUTE_MAX_GRID_DIM_Z // Maximum grid dimension Z
MAX_SHARED_MEMORY_PER_BLOCK DeviceAttribute = C.CU_DEVICE_ATTRIBUTE_MAX_SHARED_MEMORY_PER_BLOCK // Maximum shared memory available per block in bytes
TOTAL_CONSTANT_MEMORY DeviceAttribute = C.CU_DEVICE_ATTRIBUTE_TOTAL_CONSTANT_MEMORY // Memory available on device for __constant__ variables in a CUDA C kernel in bytes
WARP_SIZE DeviceAttribute = C.CU_DEVICE_ATTRIBUTE_WARP_SIZE // Warp size in threads
MAX_PITCH DeviceAttribute = C.CU_DEVICE_ATTRIBUTE_MAX_PITCH // Maximum pitch in bytes allowed by memory copies
MAX_REGISTERS_PER_BLOCK DeviceAttribute = C.CU_DEVICE_ATTRIBUTE_MAX_REGISTERS_PER_BLOCK // Maximum number of 32-bit registers available per block
CLOCK_RATE DeviceAttribute = C.CU_DEVICE_ATTRIBUTE_CLOCK_RATE // Peak clock frequency in kilohertz
TEXTURE_ALIGNMENT DeviceAttribute = C.CU_DEVICE_ATTRIBUTE_TEXTURE_ALIGNMENT // Alignment requirement for textures
MULTIPROCESSOR_COUNT DeviceAttribute = C.CU_DEVICE_ATTRIBUTE_MULTIPROCESSOR_COUNT // Number of multiprocessors on device
KERNEL_EXEC_TIMEOUT DeviceAttribute = C.CU_DEVICE_ATTRIBUTE_KERNEL_EXEC_TIMEOUT // Specifies whether there is a run time limit on kernels
INTEGRATED DeviceAttribute = C.CU_DEVICE_ATTRIBUTE_INTEGRATED // Device is integrated with host memory
CAN_MAP_HOST_MEMORY DeviceAttribute = C.CU_DEVICE_ATTRIBUTE_CAN_MAP_HOST_MEMORY // Device can map host memory into CUDA address space
COMPUTE_MODE DeviceAttribute = C.CU_DEVICE_ATTRIBUTE_COMPUTE_MODE // Compute mode (See ::CUcomputemode for details)
MAXIMUM_TEXTURE1D_WIDTH DeviceAttribute = C.CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE1D_WIDTH // Maximum 1D texture width
MAXIMUM_TEXTURE2D_WIDTH DeviceAttribute = C.CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_WIDTH // Maximum 2D texture width
MAXIMUM_TEXTURE2D_HEIGHT DeviceAttribute = C.CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_HEIGHT // Maximum 2D texture height
MAXIMUM_TEXTURE3D_WIDTH DeviceAttribute = C.CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE3D_WIDTH // Maximum 3D texture width
MAXIMUM_TEXTURE3D_HEIGHT DeviceAttribute = C.CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE3D_HEIGHT // Maximum 3D texture height
MAXIMUM_TEXTURE3D_DEPTH DeviceAttribute = C.CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE3D_DEPTH // Maximum 3D texture depth
MAXIMUM_TEXTURE2D_LAYERED_WIDTH DeviceAttribute = C.CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_LAYERED_WIDTH // Maximum 2D layered texture width
MAXIMUM_TEXTURE2D_LAYERED_HEIGHT DeviceAttribute = C.CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_LAYERED_HEIGHT // Maximum 2D layered texture height
MAXIMUM_TEXTURE2D_LAYERED_LAYERS DeviceAttribute = C.CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_LAYERED_LAYERS // Maximum layers in a 2D layered texture
SURFACE_ALIGNMENT DeviceAttribute = C.CU_DEVICE_ATTRIBUTE_SURFACE_ALIGNMENT // Alignment requirement for surfaces
CONCURRENT_KERNELS DeviceAttribute = C.CU_DEVICE_ATTRIBUTE_CONCURRENT_KERNELS // Device can possibly execute multiple kernels concurrently
ECC_ENABLED DeviceAttribute = C.CU_DEVICE_ATTRIBUTE_ECC_ENABLED // Device has ECC support enabled
PCI_BUS_ID DeviceAttribute = C.CU_DEVICE_ATTRIBUTE_PCI_BUS_ID // PCI bus ID of the device
PCI_DEVICE_ID DeviceAttribute = C.CU_DEVICE_ATTRIBUTE_PCI_DEVICE_ID // PCI device ID of the device
TCC_DRIVER DeviceAttribute = C.CU_DEVICE_ATTRIBUTE_TCC_DRIVER // Device is using TCC driver model
MEMORY_CLOCK_RATE DeviceAttribute = C.CU_DEVICE_ATTRIBUTE_MEMORY_CLOCK_RATE // Peak memory clock frequency in kilohertz
GLOBAL_MEMORY_BUS_WIDTH DeviceAttribute = C.CU_DEVICE_ATTRIBUTE_GLOBAL_MEMORY_BUS_WIDTH // Global memory bus width in bits
L2_CACHE_SIZE DeviceAttribute = C.CU_DEVICE_ATTRIBUTE_L2_CACHE_SIZE // Size of L2 cache in bytes
MAX_THREADS_PER_MULTIPROCESSOR DeviceAttribute = C.CU_DEVICE_ATTRIBUTE_MAX_THREADS_PER_MULTIPROCESSOR // Maximum resident threads per multiprocessor
ASYNC_ENGINE_COUNT DeviceAttribute = C.CU_DEVICE_ATTRIBUTE_ASYNC_ENGINE_COUNT // Number of asynchronous engines
UNIFIED_ADDRESSING DeviceAttribute = C.CU_DEVICE_ATTRIBUTE_UNIFIED_ADDRESSING // Device uses shares a unified address space with the host
MAXIMUM_TEXTURE1D_LAYERED_WIDTH DeviceAttribute = C.CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE1D_LAYERED_WIDTH // Maximum 1D layered texture width
MAXIMUM_TEXTURE1D_LAYERED_LAYERS DeviceAttribute = C.CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE1D_LAYERED_LAYERS // Maximum layers in a 1D layered texture
)
type DevicePtr uintptr
func MemAlloc(bytes int64) DevicePtr
Allocates a number of bytes of device memory.
func (ptr DevicePtr) Bytes() (bytes int64)
Returns the size of the allocation (by MemAlloc) that contains the input
pointer ptr.
func (ptr *DevicePtr) Free()
Frees device memory allocated by MemAlloc(). Overwrites the pointer with
NULL. It is safe to double-free.
func (ptr DevicePtr) GetAddressRange() (bytes int64, base DevicePtr)
Returns the base address and size of the allocation (by MemAlloc) that
contains the input pointer ptr.
func (ptr DevicePtr) MemoryType() MemoryType
Returns the physical memory type that ptr addresses.
func (p DevicePtr) String() string
type Dim3 struct {
X, Y, Z int
}
type Function uintptr
Represents a CUDA CUfunction, a reference to a function within a module.
func ModuleGetFunction(module Module, name string) Function
Returns a Function handle.
func (f Function) GetAttribute(attrib FunctionAttribute) int
type FunctionAttribute int
const (
FUNC_A_MAX_THREADS_PER_BLOCK FunctionAttribute = C.CU_FUNC_ATTRIBUTE_MAX_THREADS_PER_BLOCK // The maximum number of threads per block, beyond which a launch of the function would fail.
FUNC_A_SHARED_SIZE_BYTES FunctionAttribute = C.CU_FUNC_ATTRIBUTE_SHARED_SIZE_BYTES // The size in bytes of statically-allocated shared memory required by this function.
FUNC_A_CONST_SIZE_BYTES FunctionAttribute = C.CU_FUNC_ATTRIBUTE_CONST_SIZE_BYTES // The size in bytes of user-allocated constant memory required by this function.
FUNC_A_LOCAL_SIZE_BYTES FunctionAttribute = C.CU_FUNC_ATTRIBUTE_LOCAL_SIZE_BYTES // The size in bytes of local memory used by each thread of this function.
FUNC_A_NUM_REGS FunctionAttribute = C.CU_FUNC_ATTRIBUTE_NUM_REGS // The number of registers used by each thread of this function.
FUNC_A_PTX_VERSION FunctionAttribute = C.CU_FUNC_ATTRIBUTE_PTX_VERSION // The PTX virtual architecture version for which the function was compiled.
FUNC_A_BINARY_VERSION FunctionAttribute = C.CU_FUNC_ATTRIBUTE_BINARY_VERSION // The binary architecture version for which the function was compiled.
)
type MemHostRegisterFlag int
const (
// Memory is pinned in all CUDA contexts.
MEMHOSTREGISTER_PORTABLE MemHostRegisterFlag = C.CU_MEMHOSTREGISTER_PORTABLE
// Maps the allocation in CUDA address space. TODO(a): cuMemHostGetDevicePointer()
MEMHOSTREGISTER_DEVICEMAP MemHostRegisterFlag = C.CU_MEMHOSTREGISTER_DEVICEMAP
)
Flag for MemHostRegister
type MemoryType uint
const (
MemoryTypeHost MemoryType = C.CU_MEMORYTYPE_HOST
MemoryTypeDevice MemoryType = C.CU_MEMORYTYPE_DEVICE
MemoryTypeArray MemoryType = C.CU_MEMORYTYPE_ARRAY
MemoryTypeUnified MemoryType = C.CU_MEMORYTYPE_UNIFIED
)
func PointerGetAttributeMemoryType(ptr DevicePtr) (t MemoryType, err Result)
Returns the physical memory type that ptr addresses.
func (t MemoryType) String() string
type Module uintptr
Represents a CUDA CUmodule, a reference to executable device code.
func ModuleLoad(fname string) Module
Loads a compute module from file
func ModuleLoadData(image string) Module
Loads a compute module from string
func (m Module) GetFunction(name string) Function
Returns a Function handle.
type Result int
CUDA error status. CUDA error statuses are not returned by functions but
checked and passed to panic() when not successful. If desired, they can
be caught by recover().
const (
SUCCESS Result = C.CUDA_SUCCESS
ERROR_INVALID_VALUE Result = C.CUDA_ERROR_INVALID_VALUE
ERROR_OUT_OF_MEMORY Result = C.CUDA_ERROR_OUT_OF_MEMORY
ERROR_NOT_INITIALIZED Result = C.CUDA_ERROR_NOT_INITIALIZED
ERROR_DEINITIALIZED Result = C.CUDA_ERROR_DEINITIALIZED
ERROR_PROFILER_DISABLED Result = C.CUDA_ERROR_PROFILER_DISABLED
ERROR_PROFILER_NOT_INITIALIZED Result = C.CUDA_ERROR_PROFILER_NOT_INITIALIZED
ERROR_PROFILER_ALREADY_STARTED Result = C.CUDA_ERROR_PROFILER_ALREADY_STARTED
ERROR_PROFILER_ALREADY_STOPPED Result = C.CUDA_ERROR_PROFILER_ALREADY_STOPPED
ERROR_NO_DEVICE Result = C.CUDA_ERROR_NO_DEVICE
ERROR_INVALID_DEVICE Result = C.CUDA_ERROR_INVALID_DEVICE
ERROR_INVALID_IMAGE Result = C.CUDA_ERROR_INVALID_IMAGE
ERROR_INVALID_CONTEXT Result = C.CUDA_ERROR_INVALID_CONTEXT
ERROR_CONTEXT_ALREADY_CURRENT Result = C.CUDA_ERROR_CONTEXT_ALREADY_CURRENT
ERROR_MAP_FAILED Result = C.CUDA_ERROR_MAP_FAILED
ERROR_UNMAP_FAILED Result = C.CUDA_ERROR_UNMAP_FAILED
ERROR_ARRAY_IS_MAPPED Result = C.CUDA_ERROR_ARRAY_IS_MAPPED
ERROR_ALREADY_MAPPED Result = C.CUDA_ERROR_ALREADY_MAPPED
ERROR_NO_BINARY_FOR_GPU Result = C.CUDA_ERROR_NO_BINARY_FOR_GPU
ERROR_ALREADY_ACQUIRED Result = C.CUDA_ERROR_ALREADY_ACQUIRED
ERROR_NOT_MAPPED Result = C.CUDA_ERROR_NOT_MAPPED
ERROR_NOT_MAPPED_AS_ARRAY Result = C.CUDA_ERROR_NOT_MAPPED_AS_ARRAY
ERROR_NOT_MAPPED_AS_POINTER Result = C.CUDA_ERROR_NOT_MAPPED_AS_POINTER
ERROR_ECC_UNCORRECTABLE Result = C.CUDA_ERROR_ECC_UNCORRECTABLE
ERROR_UNSUPPORTED_LIMIT Result = C.CUDA_ERROR_UNSUPPORTED_LIMIT
ERROR_CONTEXT_ALREADY_IN_USE Result = C.CUDA_ERROR_CONTEXT_ALREADY_IN_USE
ERROR_INVALID_SOURCE Result = C.CUDA_ERROR_INVALID_SOURCE
ERROR_FILE_NOT_FOUND Result = C.CUDA_ERROR_FILE_NOT_FOUND
ERROR_SHARED_OBJECT_SYMBOL_NOT_FOUND Result = C.CUDA_ERROR_SHARED_OBJECT_SYMBOL_NOT_FOUND
ERROR_SHARED_OBJECT_INIT_FAILED Result = C.CUDA_ERROR_SHARED_OBJECT_INIT_FAILED
ERROR_OPERATING_SYSTEM Result = C.CUDA_ERROR_OPERATING_SYSTEM
ERROR_INVALID_HANDLE Result = C.CUDA_ERROR_INVALID_HANDLE
ERROR_NOT_FOUND Result = C.CUDA_ERROR_NOT_FOUND
ERROR_NOT_READY Result = C.CUDA_ERROR_NOT_READY
ERROR_LAUNCH_FAILED Result = C.CUDA_ERROR_LAUNCH_FAILED
ERROR_LAUNCH_OUT_OF_RESOURCES Result = C.CUDA_ERROR_LAUNCH_OUT_OF_RESOURCES
ERROR_LAUNCH_TIMEOUT Result = C.CUDA_ERROR_LAUNCH_TIMEOUT
ERROR_LAUNCH_INCOMPATIBLE_TEXTURING Result = C.CUDA_ERROR_LAUNCH_INCOMPATIBLE_TEXTURING
ERROR_PEER_ACCESS_ALREADY_ENABLED Result = C.CUDA_ERROR_PEER_ACCESS_ALREADY_ENABLED
ERROR_PEER_ACCESS_NOT_ENABLED Result = C.CUDA_ERROR_PEER_ACCESS_NOT_ENABLED
ERROR_PRIMARY_CONTEXT_ACTIVE Result = C.CUDA_ERROR_PRIMARY_CONTEXT_ACTIVE
ERROR_CONTEXT_IS_DESTROYED Result = C.CUDA_ERROR_CONTEXT_IS_DESTROYED
ERROR_ASSERT Result = C.CUDA_ERROR_ASSERT
ERROR_TOO_MANY_PEERS Result = C.CUDA_ERROR_TOO_MANY_PEERS
ERROR_HOST_MEMORY_ALREADY_REGISTERED Result = C.CUDA_ERROR_HOST_MEMORY_ALREADY_REGISTERED
ERROR_HOST_MEMORY_NOT_REGISTERED Result = C.CUDA_ERROR_HOST_MEMORY_NOT_REGISTERED
ERROR_UNKNOWN Result = C.CUDA_ERROR_UNKNOWN
)
func StreamQuery(stream Stream) Result
Returns Success if all operations have completed, ErrorNotReady
otherwise
func (err Result) String() string
Message string for the error
type Stream uintptr
CUDA stream.
func StreamCreate() Stream
Creates an asynchronous stream
func (stream *Stream) Destroy()
Destroys the asynchronous stream
func (stream Stream) Query() Result
Returns Success if all operations have completed, ErrorNotReady
otherwise
func (stream Stream) Synchronize()
Blocks until the stream has completed.
Documentation
¶
Overview ¶
Go bindings for the CUDA driver API.
Index ¶
- Constants
- func CtxDestroy(ctx *Context)
- func CtxDisablePeerAccess(peer Context)
- func CtxEnablePeerAccess(peer Context)
- func CtxGetApiVersion(ctx Context) (version int)
- func CtxSetCurrent(ctx Context)
- func CtxSynchronize()
- func DeviceCanAccessPeer(dev, peer Device) bool
- func DeviceComputeCapability(device Device) (major, minor int)
- func DeviceGetAttribute(attrib DeviceAttribute, dev Device) int
- func DeviceGetCount() int
- func DeviceGetName(dev Device) string
- func DeviceTotalMem(device Device) int64
- func FuncGetAttribute(attrib FunctionAttribute, function Function) int
- func Init(flags int)
- func LaunchKernel(f Function, gridDimX, gridDimY, gridDimZ int, ...)
- func MemAllocHost(bytes int64) unsafe.Pointer
- func MemFree(p DevicePtr)
- func MemFreeHost(ptr unsafe.Pointer)
- func MemGetInfo() (free, total int64)
- func MemHostRegister(ptr unsafe.Pointer, bytes int64, flags MemHostRegisterFlag)
- func MemHostUnregister(ptr unsafe.Pointer)
- func Memcpy(dst, src DevicePtr, bytes int64)
- func MemcpyAsync(dst, src DevicePtr, bytes int64, stream Stream)
- func MemcpyDtoD(dst, src DevicePtr, bytes int64)
- func MemcpyDtoDAsync(dst, src DevicePtr, bytes int64, stream Stream)
- func MemcpyDtoH(dst unsafe.Pointer, src DevicePtr, bytes int64)
- func MemcpyDtoHAsync(dst unsafe.Pointer, src DevicePtr, bytes int64, stream Stream)
- func MemcpyHtoD(dst DevicePtr, src unsafe.Pointer, bytes int64)
- func MemcpyHtoDAsync(dst DevicePtr, src unsafe.Pointer, bytes int64, stream Stream)
- func MemcpyPeer(dst DevicePtr, dstCtx Context, src DevicePtr, srcCtx Context, bytes int64)
- func MemcpyPeerAsync(dst DevicePtr, dstCtx Context, src DevicePtr, srcCtx Context, bytes int64, ...)
- func MemsetD32(deviceptr DevicePtr, value uint32, N int64)
- func MemsetD32Async(deviceptr DevicePtr, value uint32, N int64, stream Stream)
- func MemsetD8(deviceptr DevicePtr, value uint8, N int64)
- func MemsetD8Async(deviceptr DevicePtr, value uint8, N int64, stream Stream)
- func PointerGetAttributeMemoryType(ptr DevicePtr) (t MemoryType, err Result)
- func StreamDestroy(stream *Stream)
- func StreamSynchronize(stream Stream)
- func Version() int
- type Context
- type DevProp
- type Device
- type DeviceAttribute
- type DevicePtr
- type Dim3
- type Function
- type FunctionAttribute
- type MemHostRegisterFlag
- type MemoryType
- type Module
- type Result
- type Stream
Constants ¶
View Source
const ( // If the number of contexts > number of CPUs, yield to other OS threads when waiting for the GPU, otherwise CUDA spin on the processor. CTX_SCHED_AUTO = C.CU_CTX_SCHED_AUTO // Spin when waiting for results from the GPU. CTX_SCHED_SPIN = C.CU_CTX_SCHED_SPIN // Yield its thread when waiting for results from the GPU. CTX_SCHED_YIELD = C.CU_CTX_SCHED_YIELD // Bock the CPU thread on a synchronization primitive when waiting for the GPU to finish work. CTX_BLOCKING_SYNC // Support mapped pinned allocations. This flag must be set in order to allocate pinned host memory that is accessible to the GPU. CTX_MAP_HOST = C.CU_CTX_MAP_HOST //Do not reduce local memory after resizing local memory for a kernel. CTX_LMEM_RESIZE_TO_MAX = C.CU_CTX_LMEM_RESIZE_TO_MAX )
Flags for CtxCreate
View Source
const ( SIZEOF_FLOAT32 = 4 SIZEOF_FLOAT64 = 8 SIZEOF_COMPLEX64 = 8 SIZEOF_COMPLEX128 = 16 )
Type size in bytes
Variables ¶
This section is empty.
Functions ¶
func CtxDestroy ¶
func CtxDestroy(ctx *Context)
Destroys the CUDA context specified by ctx. If the context usage count is not equal to 1, or the context is current to any CPU thread other than the current one, this function fails. Floating contexts (detached from a CPU thread via cuCtxPopCurrent()) may be destroyed by this function.
func CtxEnablePeerAccess ¶
func CtxEnablePeerAccess(peer Context)
Make allocations from the peer Context available to the current context.
func CtxGetApiVersion ¶
Returns the API version to create the context.
func CtxSynchronize ¶
func CtxSynchronize()
Blocks until the device has completed all preceding requested tasks, if the context was created with the CU_CTX_SCHED_BLOCKING_SYNC flag.
func DeviceCanAccessPeer ¶
Returns true if CtxEnablePeerAccess can be called on a context for dev and peerDev.
func DeviceComputeCapability ¶
Returns the compute capability of the device.
func DeviceGetAttribute ¶
func DeviceGetAttribute(attrib DeviceAttribute, dev Device) int
Gets the value of a device attribute.
func DeviceGetCount ¶
func DeviceGetCount() int
Returns the number of devices with compute capability greater than or equal to 1.0 that are available for execution.
func DeviceTotalMem ¶
Returns the total amount of memory available on the device in bytes.
func FuncGetAttribute ¶
func FuncGetAttribute(attrib FunctionAttribute, function Function) int
func Init ¶
func Init(flags int)
Initialize the CUDA driver API. Currently, flags must be 0. If Init() has not been called, any function from the driver API will panic with ERROR_NOT_INITIALIZED.
func LaunchKernel ¶
func MemAllocHost ¶
func MemFree ¶
func MemFree(p DevicePtr)
Frees device memory allocated by MemAlloc(). It is safe to double-free.
func MemFreeHost ¶
func MemGetInfo ¶
func MemGetInfo() (free, total int64)
Returns the free and total amount of memroy in the current Context (in bytes).
func MemHostRegister ¶
func MemHostRegister(ptr unsafe.Pointer, bytes int64, flags MemHostRegisterFlag)
Page-locks memory specified by the pointer and bytes. The pointer and byte size must be aligned to the host page size (4KB) See also: MemHostUnregister()
func MemHostUnregister ¶
Unmaps memory locked by MemHostRegister().
func Memcpy ¶
Copies a number of bytes on the current device. Requires unified addressing to be supported. See also: MemcpyDtoD(). TODO(a): is actually an auto copy for device and/or host memory
func MemcpyAsync ¶
Asynchronously copies a number of bytes on the current device.
func MemcpyDtoD ¶
Copies a number of bytes from host to device.
func MemcpyDtoDAsync ¶
Asynchronously copies a number of bytes from host to device.
func MemcpyDtoH ¶
Copies a number of bytes from device to host.
func MemcpyDtoHAsync ¶
Asynchronously copies a number of bytes device host to host. The host memory must be page-locked (see MemRegister)
func MemcpyHtoD ¶
Copies a number of bytes from host to device.
func MemcpyHtoDAsync ¶
Asynchronously copies a number of bytes from host to device. The host memory must be page-locked (see MemRegister)
func MemcpyPeer ¶
Copies from device memory in one context (device) to another.
func MemcpyPeerAsync ¶
func MemcpyPeerAsync(dst DevicePtr, dstCtx Context, src DevicePtr, srcCtx Context, bytes int64, stream Stream)
Asynchronously copies from device memory in one context (device) to another.
func MemsetD32Async ¶
Asynchronously sets the first N 32-bit values of dst array to value.
func MemsetD8Async ¶
Asynchronously sets the first N 32-bit values of dst array to value.
func PointerGetAttributeMemoryType ¶
func PointerGetAttributeMemoryType(ptr DevicePtr) (t MemoryType, err Result)
Returns the physical memory type that ptr addresses.
func StreamSynchronize ¶
func StreamSynchronize(stream Stream)
Blocks until the stream has completed.
Types ¶
type Context ¶
type Context uintptr
CUDA context.
func (Context) ApiVersion ¶
Returns the API version to create the context.
func (Context) DisablePeerAccess ¶
func (peer Context) DisablePeerAccess()
Reverses EnablePeerAccess().
func (Context) EnablePeerAccess ¶
func (peer Context) EnablePeerAccess()
Make allocations from the peer Context available to the current context.
type DevProp ¶
type DevProp struct {
MaxThreadsPerBlock int
MaxThreadsDim [3]int
MaxGridSize [3]int
TotalConstantMemory int
SIMDWidth int
MemPitch int
RegsPerBlock int
ClockRate int
TextureAlign int
}
Device properties
func DeviceGetProperties ¶
Returns the device's properties.
type Device ¶
type Device int
CUDA Device number.
func (Device) Attribute ¶
func (dev Device) Attribute(attrib DeviceAttribute) int
Gets the value of a device attribute.
func (Device) CanAccessPeer ¶
Returns true if CtxEnablePeerAccess can be called on a context for dev and peerDev.
func (Device) ComputeCapability ¶
Returns the compute capability of the device.
type DeviceAttribute ¶
type DeviceAttribute int
const ( MAX_THREADS_PER_BLOCK DeviceAttribute = C.CU_DEVICE_ATTRIBUTE_MAX_THREADS_PER_BLOCK // Maximum number of threads per block MAX_BLOCK_DIM_X DeviceAttribute = C.CU_DEVICE_ATTRIBUTE_MAX_BLOCK_DIM_X // Maximum block dimension X MAX_BLOCK_DIM_Y DeviceAttribute = C.CU_DEVICE_ATTRIBUTE_MAX_BLOCK_DIM_Y // Maximum block dimension Y MAX_BLOCK_DIM_Z DeviceAttribute = C.CU_DEVICE_ATTRIBUTE_MAX_BLOCK_DIM_Z // Maximum block dimension Z MAX_GRID_DIM_X DeviceAttribute = C.CU_DEVICE_ATTRIBUTE_MAX_GRID_DIM_X // Maximum grid dimension X MAX_GRID_DIM_Y DeviceAttribute = C.CU_DEVICE_ATTRIBUTE_MAX_GRID_DIM_Y // Maximum grid dimension Y MAX_GRID_DIM_Z DeviceAttribute = C.CU_DEVICE_ATTRIBUTE_MAX_GRID_DIM_Z // Maximum grid dimension Z MAX_SHARED_MEMORY_PER_BLOCK DeviceAttribute = C.CU_DEVICE_ATTRIBUTE_MAX_SHARED_MEMORY_PER_BLOCK // Maximum shared memory available per block in bytes TOTAL_CONSTANT_MEMORY DeviceAttribute = C.CU_DEVICE_ATTRIBUTE_TOTAL_CONSTANT_MEMORY // Memory available on device for __constant__ variables in a CUDA C kernel in bytes WARP_SIZE DeviceAttribute = C.CU_DEVICE_ATTRIBUTE_WARP_SIZE // Warp size in threads MAX_PITCH DeviceAttribute = C.CU_DEVICE_ATTRIBUTE_MAX_PITCH // Maximum pitch in bytes allowed by memory copies MAX_REGISTERS_PER_BLOCK DeviceAttribute = C.CU_DEVICE_ATTRIBUTE_MAX_REGISTERS_PER_BLOCK // Maximum number of 32-bit registers available per block CLOCK_RATE DeviceAttribute = C.CU_DEVICE_ATTRIBUTE_CLOCK_RATE // Peak clock frequency in kilohertz TEXTURE_ALIGNMENT DeviceAttribute = C.CU_DEVICE_ATTRIBUTE_TEXTURE_ALIGNMENT // Alignment requirement for textures MULTIPROCESSOR_COUNT DeviceAttribute = C.CU_DEVICE_ATTRIBUTE_MULTIPROCESSOR_COUNT // Number of multiprocessors on device KERNEL_EXEC_TIMEOUT DeviceAttribute = C.CU_DEVICE_ATTRIBUTE_KERNEL_EXEC_TIMEOUT // Specifies whether there is a run time limit on kernels INTEGRATED DeviceAttribute = C.CU_DEVICE_ATTRIBUTE_INTEGRATED // Device is integrated with host memory CAN_MAP_HOST_MEMORY DeviceAttribute = C.CU_DEVICE_ATTRIBUTE_CAN_MAP_HOST_MEMORY // Device can map host memory into CUDA address space COMPUTE_MODE DeviceAttribute = C.CU_DEVICE_ATTRIBUTE_COMPUTE_MODE // Compute mode (See ::CUcomputemode for details) MAXIMUM_TEXTURE1D_WIDTH DeviceAttribute = C.CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE1D_WIDTH // Maximum 1D texture width MAXIMUM_TEXTURE2D_WIDTH DeviceAttribute = C.CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_WIDTH // Maximum 2D texture width MAXIMUM_TEXTURE2D_HEIGHT DeviceAttribute = C.CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_HEIGHT // Maximum 2D texture height MAXIMUM_TEXTURE3D_WIDTH DeviceAttribute = C.CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE3D_WIDTH // Maximum 3D texture width MAXIMUM_TEXTURE3D_HEIGHT DeviceAttribute = C.CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE3D_HEIGHT // Maximum 3D texture height MAXIMUM_TEXTURE3D_DEPTH DeviceAttribute = C.CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE3D_DEPTH // Maximum 3D texture depth MAXIMUM_TEXTURE2D_LAYERED_WIDTH DeviceAttribute = C.CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_LAYERED_WIDTH // Maximum 2D layered texture width MAXIMUM_TEXTURE2D_LAYERED_HEIGHT DeviceAttribute = C.CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_LAYERED_HEIGHT // Maximum 2D layered texture height MAXIMUM_TEXTURE2D_LAYERED_LAYERS DeviceAttribute = C.CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_LAYERED_LAYERS // Maximum layers in a 2D layered texture SURFACE_ALIGNMENT DeviceAttribute = C.CU_DEVICE_ATTRIBUTE_SURFACE_ALIGNMENT // Alignment requirement for surfaces CONCURRENT_KERNELS DeviceAttribute = C.CU_DEVICE_ATTRIBUTE_CONCURRENT_KERNELS // Device can possibly execute multiple kernels concurrently ECC_ENABLED DeviceAttribute = C.CU_DEVICE_ATTRIBUTE_ECC_ENABLED // Device has ECC support enabled PCI_BUS_ID DeviceAttribute = C.CU_DEVICE_ATTRIBUTE_PCI_BUS_ID // PCI bus ID of the device PCI_DEVICE_ID DeviceAttribute = C.CU_DEVICE_ATTRIBUTE_PCI_DEVICE_ID // PCI device ID of the device TCC_DRIVER DeviceAttribute = C.CU_DEVICE_ATTRIBUTE_TCC_DRIVER // Device is using TCC driver model MEMORY_CLOCK_RATE DeviceAttribute = C.CU_DEVICE_ATTRIBUTE_MEMORY_CLOCK_RATE // Peak memory clock frequency in kilohertz GLOBAL_MEMORY_BUS_WIDTH DeviceAttribute = C.CU_DEVICE_ATTRIBUTE_GLOBAL_MEMORY_BUS_WIDTH // Global memory bus width in bits L2_CACHE_SIZE DeviceAttribute = C.CU_DEVICE_ATTRIBUTE_L2_CACHE_SIZE // Size of L2 cache in bytes MAX_THREADS_PER_MULTIPROCESSOR DeviceAttribute = C.CU_DEVICE_ATTRIBUTE_MAX_THREADS_PER_MULTIPROCESSOR // Maximum resident threads per multiprocessor ASYNC_ENGINE_COUNT DeviceAttribute = C.CU_DEVICE_ATTRIBUTE_ASYNC_ENGINE_COUNT // Number of asynchronous engines UNIFIED_ADDRESSING DeviceAttribute = C.CU_DEVICE_ATTRIBUTE_UNIFIED_ADDRESSING // Device uses shares a unified address space with the host MAXIMUM_TEXTURE1D_LAYERED_WIDTH DeviceAttribute = C.CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE1D_LAYERED_WIDTH // Maximum 1D layered texture width MAXIMUM_TEXTURE1D_LAYERED_LAYERS DeviceAttribute = C.CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE1D_LAYERED_LAYERS // Maximum layers in a 1D layered texture )
type DevicePtr ¶
type DevicePtr uintptr
func MemGetAddressRange ¶
Returns the base address and size of the allocation (by MemAlloc) that contains the input pointer ptr.
func (DevicePtr) Bytes ¶
Returns the size of the allocation (by MemAlloc) that contains the input pointer ptr.
func (DevicePtr) Free ¶
func (ptr DevicePtr) Free()
Frees device memory allocated by MemAlloc(). Overwrites the pointer with NULL. It is safe to double-free.
func (DevicePtr) GetAddressRange ¶
Returns the base address and size of the allocation (by MemAlloc) that contains the input pointer ptr.
func (DevicePtr) MemoryType ¶
func (ptr DevicePtr) MemoryType() MemoryType
Returns the physical memory type that ptr addresses.
type Function ¶
type Function uintptr
Represents a CUDA CUfunction, a reference to a function within a module.
func ModuleGetFunction ¶
Returns a Function handle.
func (Function) GetAttribute ¶
func (f Function) GetAttribute(attrib FunctionAttribute) int
type FunctionAttribute ¶
type FunctionAttribute int
const ( FUNC_A_MAX_THREADS_PER_BLOCK FunctionAttribute = C.CU_FUNC_ATTRIBUTE_MAX_THREADS_PER_BLOCK // The maximum number of threads per block, beyond which a launch of the function would fail. FUNC_A_SHARED_SIZE_BYTES FunctionAttribute = C.CU_FUNC_ATTRIBUTE_SHARED_SIZE_BYTES // The size in bytes of statically-allocated shared memory required by this function. FUNC_A_CONST_SIZE_BYTES FunctionAttribute = C.CU_FUNC_ATTRIBUTE_CONST_SIZE_BYTES // The size in bytes of user-allocated constant memory required by this function. FUNC_A_LOCAL_SIZE_BYTES FunctionAttribute = C.CU_FUNC_ATTRIBUTE_LOCAL_SIZE_BYTES // The size in bytes of local memory used by each thread of this function. FUNC_A_NUM_REGS FunctionAttribute = C.CU_FUNC_ATTRIBUTE_NUM_REGS // The number of registers used by each thread of this function. FUNC_A_PTX_VERSION FunctionAttribute = C.CU_FUNC_ATTRIBUTE_PTX_VERSION // The PTX virtual architecture version for which the function was compiled. FUNC_A_BINARY_VERSION FunctionAttribute = C.CU_FUNC_ATTRIBUTE_BINARY_VERSION // The binary architecture version for which the function was compiled. )
type MemHostRegisterFlag ¶
type MemHostRegisterFlag int
const ( // Memory is pinned in all CUDA contexts. MEMHOSTREGISTER_PORTABLE MemHostRegisterFlag = C.CU_MEMHOSTREGISTER_PORTABLE // Maps the allocation in CUDA address space. TODO(a): cuMemHostGetDevicePointer() MEMHOSTREGISTER_DEVICEMAP MemHostRegisterFlag = C.CU_MEMHOSTREGISTER_DEVICEMAP )
Flag for MemHostRegister
type MemoryType ¶
type MemoryType uint
Physical memory type of device pointer.
const ( MemoryTypeHost MemoryType = C.CU_MEMORYTYPE_HOST MemoryTypeDevice MemoryType = C.CU_MEMORYTYPE_DEVICE MemoryTypeArray MemoryType = C.CU_MEMORYTYPE_ARRAY MemoryTypeUnified MemoryType = C.CU_MEMORYTYPE_UNIFIED )
func (MemoryType) String ¶
func (t MemoryType) String() string
type Module ¶
type Module uintptr
Represents a CUDA CUmodule, a reference to executable device code.
func (Module) GetFunction ¶
Returns a Function handle.
type Result ¶
type Result int
CUDA error status. CUDA error statuses are not returned by functions but checked and passed to panic() when not successful. If desired, they can be caught by recover().
const ( SUCCESS Result = C.CUDA_SUCCESS ERROR_INVALID_VALUE Result = C.CUDA_ERROR_INVALID_VALUE ERROR_OUT_OF_MEMORY Result = C.CUDA_ERROR_OUT_OF_MEMORY ERROR_NOT_INITIALIZED Result = C.CUDA_ERROR_NOT_INITIALIZED ERROR_DEINITIALIZED Result = C.CUDA_ERROR_DEINITIALIZED ERROR_PROFILER_DISABLED Result = C.CUDA_ERROR_PROFILER_DISABLED ERROR_PROFILER_NOT_INITIALIZED Result = C.CUDA_ERROR_PROFILER_NOT_INITIALIZED ERROR_PROFILER_ALREADY_STARTED Result = C.CUDA_ERROR_PROFILER_ALREADY_STARTED ERROR_PROFILER_ALREADY_STOPPED Result = C.CUDA_ERROR_PROFILER_ALREADY_STOPPED ERROR_NO_DEVICE Result = C.CUDA_ERROR_NO_DEVICE ERROR_INVALID_DEVICE Result = C.CUDA_ERROR_INVALID_DEVICE ERROR_INVALID_IMAGE Result = C.CUDA_ERROR_INVALID_IMAGE ERROR_INVALID_CONTEXT Result = C.CUDA_ERROR_INVALID_CONTEXT ERROR_CONTEXT_ALREADY_CURRENT Result = C.CUDA_ERROR_CONTEXT_ALREADY_CURRENT ERROR_MAP_FAILED Result = C.CUDA_ERROR_MAP_FAILED ERROR_UNMAP_FAILED Result = C.CUDA_ERROR_UNMAP_FAILED ERROR_ARRAY_IS_MAPPED Result = C.CUDA_ERROR_ARRAY_IS_MAPPED ERROR_ALREADY_MAPPED Result = C.CUDA_ERROR_ALREADY_MAPPED ERROR_NO_BINARY_FOR_GPU Result = C.CUDA_ERROR_NO_BINARY_FOR_GPU ERROR_ALREADY_ACQUIRED Result = C.CUDA_ERROR_ALREADY_ACQUIRED ERROR_NOT_MAPPED Result = C.CUDA_ERROR_NOT_MAPPED ERROR_NOT_MAPPED_AS_ARRAY Result = C.CUDA_ERROR_NOT_MAPPED_AS_ARRAY ERROR_NOT_MAPPED_AS_POINTER Result = C.CUDA_ERROR_NOT_MAPPED_AS_POINTER ERROR_ECC_UNCORRECTABLE Result = C.CUDA_ERROR_ECC_UNCORRECTABLE ERROR_UNSUPPORTED_LIMIT Result = C.CUDA_ERROR_UNSUPPORTED_LIMIT ERROR_CONTEXT_ALREADY_IN_USE Result = C.CUDA_ERROR_CONTEXT_ALREADY_IN_USE ERROR_INVALID_SOURCE Result = C.CUDA_ERROR_INVALID_SOURCE ERROR_FILE_NOT_FOUND Result = C.CUDA_ERROR_FILE_NOT_FOUND ERROR_SHARED_OBJECT_SYMBOL_NOT_FOUND Result = C.CUDA_ERROR_SHARED_OBJECT_SYMBOL_NOT_FOUND ERROR_SHARED_OBJECT_INIT_FAILED Result = C.CUDA_ERROR_SHARED_OBJECT_INIT_FAILED ERROR_OPERATING_SYSTEM Result = C.CUDA_ERROR_OPERATING_SYSTEM ERROR_INVALID_HANDLE Result = C.CUDA_ERROR_INVALID_HANDLE ERROR_NOT_FOUND Result = C.CUDA_ERROR_NOT_FOUND ERROR_NOT_READY Result = C.CUDA_ERROR_NOT_READY ERROR_LAUNCH_FAILED Result = C.CUDA_ERROR_LAUNCH_FAILED ERROR_LAUNCH_OUT_OF_RESOURCES Result = C.CUDA_ERROR_LAUNCH_OUT_OF_RESOURCES ERROR_LAUNCH_TIMEOUT Result = C.CUDA_ERROR_LAUNCH_TIMEOUT ERROR_LAUNCH_INCOMPATIBLE_TEXTURING Result = C.CUDA_ERROR_LAUNCH_INCOMPATIBLE_TEXTURING ERROR_PEER_ACCESS_ALREADY_ENABLED Result = C.CUDA_ERROR_PEER_ACCESS_ALREADY_ENABLED ERROR_PEER_ACCESS_NOT_ENABLED Result = C.CUDA_ERROR_PEER_ACCESS_NOT_ENABLED ERROR_PRIMARY_CONTEXT_ACTIVE Result = C.CUDA_ERROR_PRIMARY_CONTEXT_ACTIVE ERROR_CONTEXT_IS_DESTROYED Result = C.CUDA_ERROR_CONTEXT_IS_DESTROYED ERROR_ASSERT Result = C.CUDA_ERROR_ASSERT ERROR_TOO_MANY_PEERS Result = C.CUDA_ERROR_TOO_MANY_PEERS ERROR_HOST_MEMORY_ALREADY_REGISTERED Result = C.CUDA_ERROR_HOST_MEMORY_ALREADY_REGISTERED ERROR_HOST_MEMORY_NOT_REGISTERED Result = C.CUDA_ERROR_HOST_MEMORY_NOT_REGISTERED ERROR_HARDWARE_STACK_ERROR Result = 714 //C.CUDA_ERROR_HARDWARE_STACK_ERROR ERROR_ILLEGAL_INSTRUCTION Result = 715 //C.CUDA_ERROR_ILLEGAL_INSTRUCTION ERROR_MISALIGNED_ADDRESS Result = 716 //C.CUDA_ERROR_MISALIGNED_ADDRESS ERROR_INVALID_ADDRESS_SPACE Result = 717 //C.CUDA_ERROR_INVALID_ADDRESS_SPACE ERROR_INVALID_PC Result = 718 //C.CUDA_ERROR_INVALID_PC ERROR_NOT_PERMITTED Result = 800 //C.CUDA_ERROR_NOT_PERMITTED ERROR_NOT_SUPPORTED Result = 801 //C.CUDA_ERROR_NOT_SUPPORTED ERROR_UNKNOWN Result = C.CUDA_ERROR_UNKNOWN )
func StreamQuery ¶
Returns Success if all operations have completed, ErrorNotReady otherwise
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