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/*
* Copyright (c) 2021 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_CLCONV2D_H
#define ARM_COMPUTE_CLCONV2D_H
#include "arm_compute/core/Types.h"
#include "arm_compute/runtime/FunctionDescriptors.h"
#include "src/gpu/cl/ClCompileContext.h"
#include "src/gpu/cl/IClKernel.h"
#include "src/gpu/cl/IClOperator.h"
namespace arm_compute
{
namespace opencl
{
/** Basic function to compute the convolution layer. This function calls the following OpenCL kernels/functions:
*
* -# @ref opencl::ClGemmConv2d
* -# @ref opencl::ClWinogradConv2d
* -# @ref opencl::ClIndirectConv2d
* -# @ref opencl::ClDirectConv2d
* -# @ref CLFFTConvolutionLayer
*
* The function selects one of the algorithms mentioned above based on:
* - The size of the kernel
* - Number of src/dst feature maps
* - Amount of memory needed
*
* Generally GEMM-based convolution is executed when neither Winograd nor FFT nor Direct convolution can be performed.
*
* FP32 Algorithm| Filter Size | Input/Output feature maps |
* --------------|-------------------------------------------------------------|-------------------------------------------|
* Winograd | 3x3 1x3 3x1 5x1 1x5 5x5(fast maths) 7x1 1x7 | Input channels is greater than 3 |
* FFT | Squared kernels and greater than 9x9 | Input feature maps > Output feature maps |
* DirectConv | 9x9 | |
* GEMM | Any size | |
*
* Winograd 5x5 requires fast maths enabled.
*
* FP16 Algorithm| Filter Size | Input/Output feature maps |
* --------------|----------------------------|-------------------------------------------|
* Winograd | 3x3 1x3 3x1 5x1 1x5 5x5 | Input channels is greater than 3 |
* FFT | Not supported | |
* DirectConv | 9x9 | |
* GEMM | Any size | |
*
* Winograd FP16 requires fast maths enabled.
*
*/
class ClConv2d : public IClOperator
{
public:
/** Default constructor */
ClConv2d();
/** Default Destructor */
~ClConv2d();
/** Prevent instances of this class from being copied (As this class contains pointers) */
ClConv2d(const ClConv2d &) = delete;
/** Default move constructor */
ClConv2d(ClConv2d &&) = default;
/** Prevent instances of this class from being copied (As this class contains pointers) */
ClConv2d &operator=(const ClConv2d &) = delete;
/** Default move assignment operator */
ClConv2d &operator=(ClConv2d &&) = default;
/** Set the src and dst tensors.
*
* Valid data layouts:
* - NHWC
* - NCHW
*
* Valid data type configurations:
* |src0 |src1 |src2 |dst |
* |:--------------|:------------------|:------|:--------------|
* |F16 |F16 |F16 |F16 |
* |F32 |F32 |F32 |F32 |
* |QASYMM8 |QASYMM8 |S32 |QASYMM8 |
* |QASYMM8 |QSYMM8_PER_CHANNEL |S32 |QASYMM8 |
* |QASYMM8_SIGNED |QASYMM8_SIGNED |S32 |QASYMM8_SIGNED |
* |QASYMM8_SIGNED |QSYMM8_PER_CHANNEL |S32 |QASYMM8_SIGNED |
*
* @param[in] compile_context The compile context to be used.
* @param[in] src Source tensor info. 3 lower dimensions represent a single src [width, height, IFM],
* while every optional dimension from 4 and above represent a batch of srcs.
* Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32.
* @param[in] weights Weights tensor info. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM].
* Data type supported: Same as @p src, also could be QSYMM8_PER_CHANNEL if src is QASYMM8/QASYMM8_SIGNED.
* @param[in] biases Biases tensor info. Shared biases supported. Biases are 1D tensor with dimensions [OFM].
* Data type supported: Same as @p src, except for src of QASYMM8/QASYMM8_SIGNED type where biases should be of S32 type.
* @param[out] dst Destination tensor info. 3 lower dimensions represent a single dst [width, height, OFM], while the rest represent batch of dsts.
* Data types supported: Same as @p src.
* @param[in] conv2d_info Contains convolution 2d info described in @ref Conv2dInfo.
* @param[in] weights_info Specifies if the weights tensor has been reshaped with CLWeightsReshapeKernel. Data type supported: Same as @p src.
*/
void configure(const CLCompileContext &compile_context,
ITensorInfo *src,
ITensorInfo *weights,
ITensorInfo *biases,
ITensorInfo *dst,
const Conv2dInfo &conv2d_info,
const WeightsInfo &weights_info = WeightsInfo());
/** Static function to check if given info will lead to a valid configuration of @ref ClConv2d
*
* Similar to ClConv2d::configure()
*
* @return a status
*/
static Status validate(const ITensorInfo *src,
const ITensorInfo *weights,
const ITensorInfo *biases,
const ITensorInfo *dst,
const Conv2dInfo &conv2d_info,
const WeightsInfo &weights_info = WeightsInfo());
/** Static function to check if given info will return the convolution called by @ref ClConv2d
*
* @param[in] src Source tensor. 3 lower dimensions represent a single src [width, height, IFM],
* while every optional dimension from 4 and above represent a batch of srcs.
* Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32.
* @param[in] weights Weights tensor. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM].
* Data type supported: Same as @p src, also could be QSYMM8_PER_CHANNEL if src is QASYMM8/QASYMM8_SIGNED.
* @param[in] dst Destination tensor. 3 lower dimensions represent a single dst [width, height, OFM], while the rest represent batch of dsts.
* Data types supported: Same as @p src.
* @param[in] conv2d_info Contains convolution 2d info described in @ref Conv2dInfo.
* @param[in] weights_info Specifies if the weights tensor has been reshaped with CLWeightsReshapeKernel.
* @param[in] gpu_target Specifies the @p GPUTarget.
*
* @return the Convolution Method Hint
*/
static ConvolutionMethod get_convolution_method(const ITensorInfo *src,
const ITensorInfo *weights,
const ITensorInfo *dst,
const Conv2dInfo &conv2d_info,
const WeightsInfo &weights_info,
const GPUTarget gpu_target);
// Inherited methods overridden:
void run(ITensorPack &tensors) override;
void prepare(ITensorPack &tensors) override;
experimental::MemoryRequirements workspace() const override;
private:
std::unique_ptr<IClOperator> _operator;
experimental::MemoryRequirements _aux_mem{};
};
} // namespace opencl
} // namespace arm_compute
#endif /* ARM_COMPUTE_CLCONV2D_H */
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