diff options
Diffstat (limited to 'src/runtime/gpu/cl/operators/ClConv2d.h')
| -rw-r--r-- | src/runtime/gpu/cl/operators/ClConv2d.h | 152 |
1 files changed, 0 insertions, 152 deletions
diff --git a/src/runtime/gpu/cl/operators/ClConv2d.h b/src/runtime/gpu/cl/operators/ClConv2d.h deleted file mode 100644 index cdf3b7df32..0000000000 --- a/src/runtime/gpu/cl/operators/ClConv2d.h +++ /dev/null @@ -1,152 +0,0 @@ -/* - * 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/core/gpu/cl/ClCompileContext.h" -#include "src/core/gpu/cl/IClKernel.h" -#include "src/runtime/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::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 */ |