Mila 0.13.48
Deep Neural Network Library
Loading...
Searching...
No Matches
Mila::Dnn::Compute::CudaDeviceMemoryResource Class Referenceexport

CUDA device memory resource for GPU-accessible memory allocation. More...

Inheritance diagram for Mila::Dnn::Compute::CudaDeviceMemoryResource:
Collaboration diagram for Mila::Dnn::Compute::CudaDeviceMemoryResource:

Public Member Functions

 CudaDeviceMemoryResource (int device_id)
 Constructs CUDA managed memory resource with device ID.
Public Member Functions inherited from Mila::Dnn::Compute::MemoryResource
virtual ~MemoryResource ()=default
 Virtual destructor for proper cleanup of derived classes.

Static Public Attributes

static constexpr DeviceType device_type = DeviceType::Cuda
 Device type constant for CUDA memory resources.
static constexpr bool is_device_accessible = DeviceAccessible::is_device_accessible
 Indicates CUDA device memory is accessible from device code.
static constexpr bool is_host_accessible = false
 Indicates CUDA device memory is not accessible from host code.
Static Public Attributes inherited from Mila::Dnn::Compute::MemoryResource
static constexpr bool is_device_accessible = false
 Checks if the memory is accessible from device code.
static constexpr bool is_host_accessible = true
 Checks if the memory is accessible from host code.

Protected Member Functions

void * do_allocate (std::size_t bytes, std::size_t alignment) override
 Allocates memory on the CUDA device.
void do_deallocate (void *ptr, std::size_t, std::size_t) override
 Deallocates CUDA device memory.
bool do_is_equal (const std::pmr::memory_resource &other) const noexcept override
 Compares CUDA memory resources for equality.

Private Attributes

int device_id_

Detailed Description

CUDA device memory resource for GPU-accessible memory allocation.

Provides optimized CUDA device memory allocation with proper device binding through device context integration. Focuses purely on memory allocation responsibilities without tensor-specific operations or type conversions.

Constructor & Destructor Documentation

◆ CudaDeviceMemoryResource()

Mila::Dnn::Compute::CudaDeviceMemoryResource::CudaDeviceMemoryResource ( int device_id)
inlineexplicit

Constructs CUDA managed memory resource with device ID.

Parameters
device_idCUDA device ID (0, 1, 2, etc.)
Exceptions
std::invalid_argumentIf device_id is invalid
Here is the caller graph for this function:

Member Function Documentation

◆ do_allocate()

void * Mila::Dnn::Compute::CudaDeviceMemoryResource::do_allocate ( std::size_t bytes,
std::size_t alignment )
inlineoverrideprotectedvirtual

Allocates memory on the CUDA device.

Ensures allocation occurs on the correct device by activating the device context before calling cudaMalloc. Provides detailed error information on allocation failure.

Parameters
bytesNumber of bytes to allocate
alignmentMemory alignment requirement (ignored by CUDA)
Returns
Pointer to allocated device memory
Exceptions
CudaBadAllocIf allocation fails

Implements Mila::Dnn::Compute::MemoryResource.

Here is the call graph for this function:

◆ do_deallocate()

void Mila::Dnn::Compute::CudaDeviceMemoryResource::do_deallocate ( void * ptr,
std::size_t ,
std::size_t  )
inlineoverrideprotectedvirtual

Deallocates CUDA device memory.

Ensures deallocation occurs on the correct device and provides detailed error information if deallocation fails.

Parameters
ptrPointer to device memory to deallocate
bytesSize of memory block (unused, kept for interface compatibility)
alignmentAlignment used during allocation (unused, kept for interface compatibility)

Implements Mila::Dnn::Compute::MemoryResource.

Here is the call graph for this function:

◆ do_is_equal()

bool Mila::Dnn::Compute::CudaDeviceMemoryResource::do_is_equal ( const std::pmr::memory_resource & other) const
inlineoverrideprotectedvirtualnoexcept

Compares CUDA memory resources for equality.

CUDA memory resources are equal if they are both CudaDeviceMemoryResource instances. Device binding is handled at the tensor level through device context management.

Parameters
otherThe other memory resource to compare with
Returns
true if both are CudaDeviceMemoryResource instances

Implements Mila::Dnn::Compute::MemoryResource.

Here is the call graph for this function:

Member Data Documentation

◆ device_id_

int Mila::Dnn::Compute::CudaDeviceMemoryResource::device_id_
private

◆ device_type

DeviceType Mila::Dnn::Compute::CudaDeviceMemoryResource::device_type = DeviceType::Cuda
staticconstexpr

Device type constant for CUDA memory resources.

◆ is_device_accessible

bool Mila::Dnn::Compute::CudaDeviceMemoryResource::is_device_accessible = DeviceAccessible::is_device_accessible
staticconstexpr

Indicates CUDA device memory is accessible from device code.

◆ is_host_accessible

bool Mila::Dnn::Compute::CudaDeviceMemoryResource::is_host_accessible = false
staticconstexpr

Indicates CUDA device memory is not accessible from host code.


The documentation for this class was generated from the following file: