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Diffstat (limited to 'src/runtime/cpu/operators/CpuGemmConv2d.h')
| -rw-r--r-- | src/runtime/cpu/operators/CpuGemmConv2d.h | 203 |
1 files changed, 0 insertions, 203 deletions
diff --git a/src/runtime/cpu/operators/CpuGemmConv2d.h b/src/runtime/cpu/operators/CpuGemmConv2d.h deleted file mode 100644 index 529256594f..0000000000 --- a/src/runtime/cpu/operators/CpuGemmConv2d.h +++ /dev/null @@ -1,203 +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_CPU_GEMM_CONV2D_H -#define ARM_COMPUTE_CPU_GEMM_CONV2D_H - -#include "arm_compute/core/TensorInfo.h" -#include "arm_compute/core/Types.h" -#include "src/runtime/cpu/ICpuOperator.h" - -#include <memory> - -namespace arm_compute -{ -namespace cpu -{ -class CpuGemm; -class CpuGemmLowpMatrixMultiplyCore; -class CpuGemmLowpOutputStage; -namespace kernels -{ -class CpuWeightsReshapeKernel; -class CpuIm2ColKernel; -class CpuCol2ImKernel; -class CpuReshapeKernel; -} // namespace kernels - -/** Basic function to compute the convolution layer. This function calls the following kernels/functions: - * - * -# @ref cpu::kernels::CpuIm2ColKernel - * -# @ref CpuGemm (if the data type is BFLOAT16/FP16/FP32) - * -# @ref CpuGemmLowpMatrixMultiplyCore (if the data type is QASYMM8/QASYMM8_SIGNED) - * -# @ref CpuGemmLowpOutputStage (if the data type is QASYMM8/QASYMM8_SIGNED) - * -# @ref cpu::kernels::CpuCol2ImKernel (if NCHW data layout) - * -# @ref kernels::CpuWeightsReshapeKernel - * - */ -class CpuGemmConv2d : public ICpuOperator -{ -public: - /** Constructor */ - CpuGemmConv2d(); - /** Prevent instances of this class from being copied (As this class contains pointers) */ - CpuGemmConv2d(const CpuGemmConv2d &) = delete; - /** Prevent instances of this class from being moved (As this class contains non movable objects) */ - CpuGemmConv2d(CpuGemmConv2d &&) = delete; - /** Prevent instances of this class from being copied (As this class contains pointers) */ - CpuGemmConv2d &operator=(const CpuGemmConv2d &) = delete; - /** Prevent instances of this class from being moved (As this class contains non movable objects) */ - CpuGemmConv2d &operator=(CpuGemmConv2d &&) = delete; - /** Destructor */ - ~CpuGemmConv2d(); - /** Set the input and output tensors. - * - * Valid data layouts: - * - NHWC - * - NCHW - * - * Valid data type configurations: - * |src0 |src1 |src2 |dst | - * |:--------------|:------------------|:--------|:--------------| - * |F16 |F16 |F16 |F16 | - * |F32 |F32 |F32 |F32 | - * |BFLOAT16 |BFLOAT16 |BFLOAT16 |BFLOAT16 | - * |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] src Source tensor info. 3 lower dimensions represent a single input [width, height, IFM], - * while every optional dimension from 4 and above represent a batch of inputs. - * Data types supported: QASYMM8/QASYMM8_SIGNED/BFLOAT16/F16/F32. - * @param[in] weights Weights tensor info. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM]. - * Data type supported: QASYMM8/QASYMM8_SIGNED/QSYMM8_PER_CHANNEL/BFLOAT16/F16/F32. - * @param[in] biases Biases tensor info. Shared biases supported. Biases are 1D tensor with dimensions [OFM]. - * Data type supported: Should match @p input data type, except for input of QASYMM8/QASYMM8_SIGNED type where biases should be of S32 type. - * @param[out] dst Destination tensor info. 3 lower dimensions represent a single output [width, height, OFM], while the rest represent batch of outputs. - * Data types supported: Same as @p input. - * @param[in] conv_info Contains padding and stride information described in @ref PadStrideInfo. - * @param[in] weights_info Specifies if the weights tensor has been reshaped with NEWeightsReshapeKernel. If this is not part of the fully connected layer the weights - * tensor has also been transposed with cpu::kernels::CpuGemmTranspose1xWKernel. Data type supported: Same as @p input. - * @param[in] dilation (Optional) Dilation, in elements, across x and y. Defaults to (1, 1). - * @param[in] act_info (Optional) Activation layer information in case of a fused activation. Only RELU, BOUNDED_RELU and LU_BOUNDED_RELU supported. - * @param[in] enable_fast_math (Optional) Enable fast math computation. In case this flag were set, the function could dispatch the fastest implementation - * available which may introduce a drop of accuracy as well. Default is false - * @param[in] num_groups (Optional) Number of groups when performing a grouped convolution. num_groups != 1 is not supported - */ - void configure(const ITensorInfo *src, const ITensorInfo *weights, const ITensorInfo *biases, ITensorInfo *dst, const PadStrideInfo &conv_info, const WeightsInfo &weights_info = WeightsInfo(), - const Size2D &dilation = Size2D(1U, 1U), const ActivationLayerInfo &act_info = ActivationLayerInfo(), bool enable_fast_math = false, unsigned int num_groups = 1); - /** Static function to check if given info will lead to a valid configuration - * - * Similar to CpuGemmConvolution::configure() - * - * @return a status - */ - static Status validate(const ITensorInfo *src, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, const PadStrideInfo &conv_info, - const WeightsInfo &weights_info = WeightsInfo(), const Size2D &dilation = Size2D(1U, 1U), const ActivationLayerInfo &act_info = ActivationLayerInfo(), - bool enable_fast_math = false, unsigned int num_groups = 1); - - // Inherited methods overridden: - void run(ITensorPack &tensors) override; - void prepare(ITensorPack &tensors) override; - experimental::MemoryRequirements workspace() const override; - -private: - /** Configures the appropriate matrix multiply routine - * - * @param[in] src Input tensor info. Data types supported: QASYMM8/QASYMM8_SIGNED/BFLOAT16/F16/F32. - * @param[in] weights Weights tensor info. Data type supported: QASYMM8/QASYMM8_SIGNED/QSYMM8_PER_CHANNEL/BFLOAT16/F16/F32. - * @param[in] biases Biases tensor info. Shared biases supported. Biases are 1D tensor with dimensions [OFM]. - * Data type supported: Should match @p input data type, except for input of QASYMM8/QASYMM8_SIGNED type where biases should be of S32 type. - * @param[out] dst Output tensor info. Data types supported: Same as @p input, - * except for input of QASYMM8/QASYMM8_SIGNED type where output should be of S32 type. - * @param[in] act_info (Optional) Activation layer information in case of a fused activation. Only RELU, BOUNDED_RELU and LU_BOUNDED_RELU supported. - * @param[in] enable_fast_math (Optional) Enable fast math computation. In case this flag were set, the function could dispatch the fastest implementation - * available which may introduce a drop of accuracy as well. Default is false - * @param[in] gemm_3d_depth (Optional) Depth of GEMM 3D (Defaults to 1) - */ - void configure_mm(const ITensorInfo *src, const ITensorInfo *weights, const ITensorInfo *biases, ITensorInfo *output, const ActivationLayerInfo &act_info = ActivationLayerInfo(), - bool enable_fast_math = false, int gemm_3d_depth = 1); - /** Static function to check if given info will lead to a valid configuration of @ref NEGEMMConvolutionLayer matrix multiply routines - * - * @param[in] src Input tensor info. Data types supported: QASYMM8/QASYMM8_SIGNED/BFLOAT16/F16/F32. - * @param[in] weights Weights tensor info. Data type supported: QASYMM8/QASYMM8_SIGNED/QSYMM8_PER_CHANNEL/BFLOAT16/F16/F32. - * @param[in] biases Biases tensor info. Shared biases supported. Biases are 1D tensor with dimensions [OFM]. - * Data type supported: Should match @p input data type, except for input of QASYMM8/QASYMM8_SIGNED type where biases should be of S32 type. - * @param[in] dst Output tensor info. Data types supported: Same as @p input, - * except for input of QASYMM8/QASYMM8_SIGNED type where output should be of S32 type. - * @param[in] act_info (Optional) Activation layer information in case of a fused activation. Only RELU, BOUNDED_RELU and LU_BOUNDED_RELU supported. - * @param[in] enable_fast_math (Optional) Enable fast math computation. In case this flag were set, the function could dispatch the fastest implementation - * available which may introduce a drop of accuracy as well. Default is false - * @param[in] gemm_3d_depth (Optional) Depth of GEMM 3D (Defaults to 1) - * @param[in] skip_im2col (Optional) Flag which specifies if im2col has to be skipped. i.e. 1x1 convolution with NHWC data layout. (Default to false) - * - * @return a status - */ - static Status validate_mm(const ITensorInfo *src, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *dst, const ActivationLayerInfo &act_info = ActivationLayerInfo(), - bool enable_fast_math = false, int gemm_3d_depth = 1, bool skip_im2col = false); - /** Static function to check if GEMM3D is supported in @ref NEGEMM or in @ref CpuGemmMLowpMatrixMultiplyCore - * - * @param[in] src Input tensor info. Data types supported: QASYMM8/QASYMM8_SIGNED/BFLOAT16/F16/F32. - * @param[in] weights Weights tensor info. Data types supported: QASYMM8/QASYMM8_SIGNED/BFLOAT16/F16/F32. - * @param[in] act_info Activation layer information in case of a fused activation. Only RELU, BOUNDED_RELU and LU_BOUNDED_RELU supported. - * @param[in] gemm_3d_depth Depth of GEMM 3D - * @param[in] skip_im2col Flag which specifies if im2col has to be skipped. i.e. 1x1 convolution with NHWC data layout - * - * @return a status - */ - static Status validate_gemm3d(const ITensorInfo *src, const ITensorInfo *weights, const ActivationLayerInfo &act_info, int gemm_3d_depth, bool skip_im2col); - - enum AuxTensorIdx - { - // CpuGemmLowpMatrixMultiplyCore has up to 8 internal tensors - Im2ColOutput = 9, - WeightsReshaped, - GemmOutput, - Count - }; - - std::unique_ptr<kernels::CpuWeightsReshapeKernel> _weights_reshape_kernel; - std::unique_ptr<cpu::kernels::CpuIm2ColKernel> _im2col_kernel; - std::unique_ptr<CpuGemm> _mm_gemm; - std::unique_ptr<CpuGemmLowpMatrixMultiplyCore> _mm_gemmlowp; - std::unique_ptr<kernels::CpuCol2ImKernel> _col2im_kernel; - std::unique_ptr<kernels::CpuReshapeKernel> _reshape_kernel; - - TensorInfo _im2col_output; - TensorInfo _weights_reshaped; - TensorInfo _gemm_output; - TensorInfo _gemm_output_3d; - - DataLayout _data_layout; - - bool _skip_im2col; - bool _skip_col2im; - bool _is_quantized; - bool _is_prepared; - - experimental::MemoryRequirements _aux_mem{ Count }; -}; -} // namespace cpu -} // namespace arm_compute -#endif /* ARM_COMPUTE_CPU_GEMM_CONV2D_H */ |