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Diffstat (limited to 'src/gpu/cl/operators/ClFullyConnected.h')
| -rw-r--r-- | src/gpu/cl/operators/ClFullyConnected.h | 179 |
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diff --git a/src/gpu/cl/operators/ClFullyConnected.h b/src/gpu/cl/operators/ClFullyConnected.h new file mode 100644 index 0000000000..72884ff7ad --- /dev/null +++ b/src/gpu/cl/operators/ClFullyConnected.h @@ -0,0 +1,179 @@ +/* + * Copyright (c) 2017-2021, 2023 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 ACL_SRC_GPU_CL_OPERATORS_CLFULLYCONNECTED_H +#define ACL_SRC_GPU_CL_OPERATORS_CLFULLYCONNECTED_H + +#include "arm_compute/core/TensorInfo.h" +#include "arm_compute/function_info/FullyConnectedLayerInfo.h" + +#include "src/gpu/cl/ClCompileContext.h" +#include "src/gpu/cl/IClOperator.h" +#include "src/gpu/cl/kernels/ClMatMulLowpNativeKernel.h" +#include "src/gpu/cl/kernels/ClMatMulNativeKernel.h" + +#include <memory> + +namespace arm_compute +{ +namespace opencl +{ +// Forward declarations +class ClConvertFullyConnectedWeights; +class ClFlatten; +class ClGemm; +class ClGemmLowpMatrixMultiplyCore; +class ClTranspose; +// Kernel Forward Declarations +namespace kernels +{ +class ClMatMulNativeKernel; +class ClMatMulLowpNativeKernel; +} // namespace kernels +/** Basic function to compute a Fully Connected layer on OpenCL. This function calls the following OpenCL kernels: + * + * -# @ref opencl::kernels::ClIm2ColKernel (called when the input comes from a convolutional layer) + * -# @ref CLTranspose (if @p are_weights_reshaped is set to false and transpose_weights is set to true ) (called once) + * -# @ref opencl::ClGemm or @ref CLGEMMLowpMatrixMultiplyCore (if quantized asymmetric) + * + * @note The fully connected layer accepts "weights" tensors only with 2 dimensions. + */ +class ClFullyConnected : public IClOperator +{ +public: + ClFullyConnected(); + ~ClFullyConnected(); + /** 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 | + * |QASYMM8 |QASYMM8 |S32 |QASYMM8 | + * |QASYMM8_SIGNED |QASYMM8_SIGNED |S32 |QASYMM8_SIGNED | + * + * @param[in] compile_context The compile context to be used. + * @param[in] src Source tensor. Data type supported: QASYMM8/QASYMM8_SIGNED/F16/F32. + * @param[in] weights Weights tensor. The weights must be 2 dimensional. + * If this function is called after a Convolution Layer, the (transposed) weights will have as many rows as the product of the first 3 input's dimensions. + * If it is called after another FullyConnected Layer, the (transposed) weights will have as many rows as the input's first dimension. + * Data type supported: Same as @p src. + * @param[in] biases Bias tensor. Can be nullptr. Data type supported:Same as @p src. + * @param[out] dst Destination tensor. Its shape should be equal to the output of a matrix multiplication between: + * - The output of im2col on the input and the (transposed) 2D weights, if the function is called after a Convolution Layer + * - The input tensor and the (transposed) 2D weights, if the function is called after another FullyConnected Layer. + * Data type supported: Same as @p src. + * @param[in] fc_info (Optional) Fully connected layer additional info + */ + void configure(const CLCompileContext &compile_context, + ITensorInfo *src, + ITensorInfo *weights, + ITensorInfo *biases, + ITensorInfo *dst, + FullyConnectedLayerInfo fc_info = FullyConnectedLayerInfo()); + /** Static function to check if given info will lead to a valid configuration + * + * Similar to ClFullyConnected::configure() + * + * @return a status + */ + static Status validate(const ITensorInfo *src, + const ITensorInfo *weights, + const ITensorInfo *biases, + const ITensorInfo *dst, + FullyConnectedLayerInfo fc_info = FullyConnectedLayerInfo()); + + // Inherited methods overriden + void run(ITensorPack &tensors) override; + void prepare(ITensorPack &tensors) override; + experimental::MemoryRequirements workspace() const override; + +private: + void configure_fc_fc(const CLCompileContext &compile_context, + ITensorInfo *src, + ITensorInfo *weights, + ITensorInfo *bias, + ITensorInfo *dst, + const FullyConnectedLayerInfo &fc_info); + void configure_conv_fc(const CLCompileContext &compile_context, + ITensorInfo *src, + ITensorInfo *weights, + ITensorInfo *bias, + ITensorInfo *dst, + const FullyConnectedLayerInfo &fc_info); + void configure_mm(const CLCompileContext &compile_context, + ITensorInfo *src, + ITensorInfo *weights, + ITensorInfo *bias, + ITensorInfo *dst, + const FullyConnectedLayerInfo &fc_info); + +private: + enum AuxTensorIdx + { + TransposedWeights = 10, + ConvertedWeights = 11, + FlattenedSrc = 12, + Count = 13 + }; + + std::unique_ptr<ClConvertFullyConnectedWeights> _convert_weights; + std::unique_ptr<ClFlatten> _flatten; + std::unique_ptr<ClTranspose> _reshape_weights; + std::unique_ptr<ClGemm> _mm_gemm; + std::unique_ptr<ClGemmLowpMatrixMultiplyCore> _mm_gemmlowp; + + std::unique_ptr<kernels::ClMatMulNativeKernel> _matmul_native_kernel; + std::unique_ptr<kernels::ClMatMulLowpNativeKernel> _matmul_lowp_native_kernel; + + experimental::MemoryRequirements _aux_mem{}; + + TensorInfo _flattened_src{}; + TensorInfo _converted_weights{}; + TensorInfo _reshaped_weights{}; + TensorInfo _lhs_to_use{}; + TensorInfo _weights_to_use{}; + int _weights_to_use_idx{ACL_SRC_1}; + + bool _run_convert_weights{false}; + bool _transpose_weights{false}; + bool _dynamic_gemm{false}; + bool _use_matmul{false}; + + bool _is_fc_after_conv{true}; + bool _is_quantized{false}; + bool _is_prepared{false}; + +#ifdef ARM_COMPUTE_ASSERTS_ENABLED + int _asrt_run_count{}; + int _asrt_prepare_count{}; +#endif // ARM_COMPUTE_ASSERTS_ENABLED +}; +} // namespace opencl +} // namespace arm_compute +#endif // ACL_SRC_GPU_CL_OPERATORS_CLFULLYCONNECTED_H |