| /* |
| * Copyright (c) 2017-2018 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_NEDEPTHWISECONVOLUTIONKERNEL3x3_H__ |
| #define __ARM_COMPUTE_NEDEPTHWISECONVOLUTIONKERNEL3x3_H__ |
| |
| #include "arm_compute/core/NEON/INEKernel.h" |
| #include "arm_compute/core/NEON/kernels/convolution/depthwise/depthwise.hpp" |
| |
| #include <memory> |
| |
| namespace arm_compute |
| { |
| class ITensor; |
| |
| /** Interface for the kernel to run a 3x3 depthwise convolution on a tensor. */ |
| class NEDepthwiseConvolutionLayer3x3Kernel : public INEKernel |
| { |
| public: |
| const char *name() const override |
| { |
| return "NEDepthwiseConvolutionLayer3x3Kernel"; |
| } |
| /** Default constructor */ |
| NEDepthwiseConvolutionLayer3x3Kernel(); |
| /** Prevent instances of this class from being copied (As this class contains pointers) */ |
| NEDepthwiseConvolutionLayer3x3Kernel(const NEDepthwiseConvolutionLayer3x3Kernel &) = delete; |
| /** Prevent instances of this class from being copied (As this class contains pointers) */ |
| NEDepthwiseConvolutionLayer3x3Kernel &operator=(const NEDepthwiseConvolutionLayer3x3Kernel &) = delete; |
| /** Default Move Constructor. */ |
| NEDepthwiseConvolutionLayer3x3Kernel(NEDepthwiseConvolutionLayer3x3Kernel &&) = default; |
| /** Default move assignment operator. */ |
| NEDepthwiseConvolutionLayer3x3Kernel &operator=(NEDepthwiseConvolutionLayer3x3Kernel &&) = default; |
| /** Initialize the function's source, destination, conv and border_size. |
| * |
| * @param[in] input Source tensor. DataType supported: QASYMM8, F32. |
| * @param[in] weights Weights tensor. This is a 3D tensor with dimensions [3, 3, IFM]. Data type supported: Same as @p input. |
| * @param[out] output Destination tensor. Data type supported: Same as @p input. |
| * @param[in] conv_info Padding and stride information to use for the convolution. |
| * @param[in] data_layout (Optional) Data layout of the input and weights tensor |
| */ |
| void configure(const ITensor *input, const ITensor *weights, ITensor *output, const PadStrideInfo &conv_info, DataLayout data_layout = DataLayout::NCHW); |
| /** Static method that checks if optimized execution is supported for the given parameters |
| * |
| * @param[in] input_shape Input shape |
| * @param[in] conv_info Padding and stride information to use for the convolution. |
| * @param[in] dt Data type of the input and weights |
| * @param[in] data_layout (Optional) Data layout of the input and weights tensor |
| * |
| * @return True if the optimized kernels can be executed else false |
| */ |
| static bool is_optimized_execution_possible(TensorShape input_shape, PadStrideInfo conv_info, DataType dt, DataLayout data_layout = DataLayout::NCHW); |
| /** Generates the convolver object */ |
| void generate_convolver(); |
| |
| // Inherited methods overridden: |
| void run(const Window &window, const ThreadInfo &info) override; |
| BorderSize border_size() const override; |
| |
| private: |
| void configure_generic(); |
| void configure_optimized(); |
| void run_generic(const Window &window, const ThreadInfo &info); |
| void run_optimized(const Window &window, const ThreadInfo &info); |
| std::unique_ptr<depthwise::IDepthwiseConvolution> create_convolver_object(TensorShape shape, PadStrideInfo conv_info, |
| const uint8_t *w_ptr, uint8_t *in_ptr, uint8_t *out_ptr); |
| |
| private: |
| BorderSize _border_size; |
| const ITensor *_input; |
| ITensor *_output; |
| const ITensor *_weights; |
| PadStrideInfo _conv_info; |
| std::unique_ptr<depthwise::IDepthwiseConvolution> _convolver; |
| unsigned int _num_elems_written_per_iteration; |
| bool _run_optimized; |
| }; |
| } // namespace arm_compute |
| #endif /* __ARM_COMPUTE_NEDEPTHWISECONVOLUTIONKERNEL3x3_H__ */ |