| /* |
| * 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 ARM_COMPUTE_CL_FULLY_CONNECTED_H |
| #define ARM_COMPUTE_CL_FULLY_CONNECTED_H |
| |
| #include "arm_compute/core/FullyConnectedLayerInfo.h" |
| #include "arm_compute/core/TensorInfo.h" |
| |
| #include "src/gpu/cl/ClCompileContext.h" |
| #include "src/gpu/cl/IClOperator.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; |
| } |
| /** 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 /* ARM_COMPUTE_CL_FULLY_CONNECTED_H */ |