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/*
* Copyright (c) 2016-2020 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to
* deal in the Software without restriction, including without limitation the
* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
* sell copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#ifndef ARM_COMPUTE_CLTENSORALLOCATOR_H
#define ARM_COMPUTE_CLTENSORALLOCATOR_H
#include "arm_compute/runtime/CL/CLArray.h"
#include "arm_compute/runtime/CL/CLMemory.h"
#include "arm_compute/runtime/ITensorAllocator.h"
#include "arm_compute/runtime/MemoryGroup.h"
#include "arm_compute/core/CL/CLTypes.h"
#include "arm_compute/core/CL/OpenCL.h"
#include <cstdint>
namespace arm_compute
{
class CLTensor;
class CLRuntimeContext;
/** Basic implementation of a CL memory tensor allocator. */
class CLTensorAllocator : public ITensorAllocator
{
public:
/** Default constructor.
*
* @param[in] owner (Optional) Owner of the allocator.
* @param[in] ctx (Optional) Runtime context.
*/
CLTensorAllocator(IMemoryManageable *owner = nullptr, CLRuntimeContext *ctx = nullptr);
/** Prevent instances of this class from being copied (As this class contains pointers) */
CLTensorAllocator(const CLTensorAllocator &) = delete;
/** Prevent instances of this class from being copy assigned (As this class contains pointers) */
CLTensorAllocator &operator=(const CLTensorAllocator &) = delete;
/** Allow instances of this class to be moved */
CLTensorAllocator(CLTensorAllocator &&) = default;
/** Allow instances of this class to be moved */
CLTensorAllocator &operator=(CLTensorAllocator &&) = default;
/** Interface to be implemented by the child class to return the pointer to the mapped data.
*
* @return pointer to the mapped data.
*/
uint8_t *data();
/** Interface to be implemented by the child class to return the pointer to the CL data.
*
* @return pointer to the CL data.
*/
const cl::Buffer &cl_data() const;
/** Wrapped quantization info data accessor
*
* @return A wrapped quantization info object.
*/
CLQuantization quantization() const;
/** Enqueue a map operation of the allocated buffer on the given queue.
*
* @param[in,out] q The CL command queue to use for the mapping operation.
* @param[in] blocking If true, then the mapping will be ready to use by the time
* this method returns, else it is the caller's responsibility
* to flush the queue and wait for the mapping operation to have completed before using the returned mapping pointer.
*
* @return The mapping address.
*/
uint8_t *map(cl::CommandQueue &q, bool blocking);
/** Enqueue an unmap operation of the allocated buffer on the given queue.
*
* @note This method simply enqueue the unmap operation, it is the caller's responsibility to flush the queue and make sure the unmap is finished before
* the memory is accessed by the device.
*
* @param[in,out] q The CL command queue to use for the mapping operation.
* @param[in] mapping The cpu mapping to unmap.
*/
void unmap(cl::CommandQueue &q, uint8_t *mapping);
/** Allocate size specified by TensorInfo of OpenCL memory.
*
* @note: The tensor must not already be allocated when calling this function.
*
*/
void allocate() override;
/** Free allocated OpenCL memory.
*
* @note The tensor must have been allocated when calling this function.
*
*/
void free() override;
/** Import an existing memory as a tensor's backing memory
*
* @warning memory should have been created under the same context that Compute Library uses.
* @warning memory is expected to be aligned with the device requirements.
* @warning tensor shouldn't be memory managed.
* @warning ownership of memory is not transferred.
* @warning memory must be writable in case of in-place operations
* @warning padding should be accounted by the client code.
* @note buffer size will be checked to be compliant with total_size reported by ITensorInfo.
*
* @param[in] buffer Buffer to be used as backing memory
*
* @return An error status
*/
Status import_memory(cl::Buffer buffer);
/** Associates the tensor with a memory group
*
* @param[in] associated_memory_group Memory group to associate the tensor with
*/
void set_associated_memory_group(IMemoryGroup *associated_memory_group);
protected:
/** Call map() on the OpenCL buffer.
*
* @return A pointer to the beginning of the tensor's allocation.
*/
uint8_t *lock() override;
/** Call unmap() on the OpenCL buffer. */
void unlock() override;
private:
static const cl::Buffer _empty_buffer;
private:
CLRuntimeContext *_ctx;
IMemoryManageable *_owner; /**< Memory manageable object that owns the allocator */
IMemoryGroup *_associated_memory_group; /**< Registered memory manager */
CLMemory _memory; /**< OpenCL memory */
uint8_t *_mapping; /**< Pointer to the CPU mapping of the OpenCL buffer. */
CLFloatArray _scale; /**< Scales array in case of quantized per channel data type */
CLInt32Array _offset; /**< Offsets array in case of quantized per channel data type */
};
} // namespace arm_compute
#endif /* ARM_COMPUTE_CLTENSORALLOCATOR_H */