Showing content from http://www.arrayfire.org/docs/group__device__func__alloc.htm below:
ArrayFire: allocV2
Allocate memory using the ArrayFire memory manager. More...
Allocate memory using the ArrayFire memory manager.
This function will allocate memory on the device and return a pointer to it. The memory is allocated using ArrayFire's memory manager which will defer releasing memory to the driver and reuse the same memory for later operations.
This function will return different objects based on the type used. The interface returns a void pointer that needs to be cast to the backend appropriate memory type.
function CPU CUDA OpenCL af_alloc_device_v2 T* T* cl_mem af::allocV2 T* T* cl_mem af_alloc_device (deprecated) T* T* cl::Buffer* af::alloc (deprecated) T* T* cl::Buffer* CPU Backend
float *dptr = static_cast<float *>(ptr);
dptr[0] = 5.0f;
freeV2(ptr);
AFAPI void * allocV2(const size_t bytes)
Allocates memory using ArrayFire's memory manager.
CUDA Backend
void *ptr = allocV2(sizeof(float));
float *dptr = static_cast<float *>(ptr);
float host_data = 5.0f;
cudaError_t error = cudaSuccess;
error = cudaMemcpy(dptr, &host_data, sizeof(float), cudaMemcpyHostToDevice);
freeV2(ptr);
OpenCL Backend
cl_command_queue queue;
cl_context context;
void *alloc_ptr = allocV2(sizeof(float));
cl_mem mem = static_cast<cl_mem>(alloc_ptr);
cl_int map_err_code;
void *mapped_ptr = clEnqueueMapBuffer(
queue,
mem,
CL_TRUE,
CL_MAP_READ | CL_MAP_WRITE,
0,
sizeof(float),
0,
nullptr,
nullptr,
&map_err_code);
float *float_ptr = static_cast<float *>(mapped_ptr);
float_ptr[0] = 5.0f;
cl_int unmap_err_code =
clEnqueueUnmapMemObject(queue,
mem,
mapped_ptr,
0,
nullptr,
nullptr);
freeV2(alloc_ptr);
AFAPI af_err afcl_get_queue(cl_command_queue *queue, const bool retain)
Get a handle to ArrayFire's OpenCL command queue.
AFAPI af_err afcl_get_context(cl_context *ctx, const bool retain)
Get a handle to ArrayFire's OpenCL context.
◆ af_alloc_device()
Allocates memory using ArrayFire's memory manager.
This device memory returned by this function can only be freed using af_free_device
-
Parameters
-
[out] ptr Pointer to the device memory on the current device. This is a CUDA device pointer for the CUDA backend. A cl::Buffer pointer on the OpenCL backend and a C pointer for the CPU backend [in] bytes The number of bites to allocate on the device
-
Returns
-
AF_SUCCESS if a pointer could be allocated. AF_ERR_NO_MEM if there is no memory
-
Deprecated:
-
Use af_alloc_device_v2 instead. af_alloc_device_v2 returns a cl_mem object instead of the cl::Buffer object for the OpenCL backend. Otherwise the functionallity is identical
◆ af_alloc_device_v2()
Allocates memory using ArrayFire's memory manager.
This device memory returned by this function can only be freed using af_free_device_v2.
-
Parameters
-
[out] ptr Pointer to the device memory on the current device. This is a CUDA device pointer for the CUDA backend. A cl::Buffer pointer on the OpenCL backend and a C pointer for the CPU backend [in] bytes The number of bites to allocate on the device
-
Returns
-
AF_SUCCESS if a pointer could be allocated. AF_ERR_NO_MEM if there is no memory
◆ alloc() [1/2] T * alloc ( const size_t elements )
Allocates memory using ArrayFire's memory manager.
-
Parameters
-
[in] elements the number of elements to allocate
-
Returns
-
Pointer to the device memory on the current device. This is a CUDA device pointer for the CUDA backend. A cl::Buffer pointer from the cl2.hpp header on the OpenCL backend and a C pointer for the CPU backend
-
Note
-
the size of the memory allocated is the number of
elements * sizeof(type)
-
The device memory returned by this function is only freed if af::free() is called explicitly
-
Deprecated:
-
Use allocV2 instead. allocV2 accepts number of bytes instead of number of elements and returns a cl_mem object instead of the cl::Buffer object for the OpenCL backend. Otherwise the functionallity is identical to af::alloc.
◆ alloc() [2/2] AFAPI void * alloc ( const size_t elements, const dtype type )
Allocates memory using ArrayFire's memory manager.
-
Parameters
-
[in] elements the number of elements to allocate [in] type is the type of the elements to allocate
-
Returns
-
Pointer to the device memory on the current device. This is a CUDA device pointer for the CUDA backend. A cl::Buffer pointer from the cl2.hpp header on the OpenCL backend and a C pointer for the CPU backend
-
Note
-
The device memory returned by this function is only freed if af::free() is called explicitly
-
Deprecated:
-
Use allocV2 instead. allocV2 accepts number of bytes instead of number of elements and returns a cl_mem object instead of the cl::Buffer object for the OpenCL backend. Otherwise the functionallity is identical to af::alloc.
◆ allocV2() AFAPI void * allocV2 ( const size_t bytes )
Allocates memory using ArrayFire's memory manager.
-
Parameters
-
[in] bytes the number of bytes to allocate
-
Returns
-
Pointer to the device memory on the current device. This is a CUDA device pointer for the CUDA backend. A cl_mem pointer on the OpenCL backend and a C pointer for the CPU backend
-
Note
-
The device memory returned by this function is only freed if af::freeV2() is called explicitly
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