| /* |
| * Copyright (c) 2019-2021 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_CLDEPTHWISECONVOLUTIONLAYERNATIVEKERNEL_H |
| #define ARM_COMPUTE_CLDEPTHWISECONVOLUTIONLAYERNATIVEKERNEL_H |
| |
| #include "src/core/CL/ICLKernel.h" |
| |
| #include "arm_compute/core/KernelDescriptors.h" |
| |
| namespace arm_compute |
| { |
| class ICLTensor; |
| |
| /** Interface for the kernel to run a MxN depthwise convolution. M and N are respectively the rows and columns of the filter |
| This kernel assumes that tensor for the weights is NOT reshaped (Native version) */ |
| class CLDepthwiseConvolutionLayerNativeKernel : public ICLKernel |
| { |
| public: |
| /** Default Constructor */ |
| CLDepthwiseConvolutionLayerNativeKernel(); |
| /** Prevent instances of this class from being copied (As this class contains pointers) */ |
| CLDepthwiseConvolutionLayerNativeKernel(const CLDepthwiseConvolutionLayerNativeKernel &) = delete; |
| /** Prevent instances of this class from being copied (As this class contains pointers) */ |
| CLDepthwiseConvolutionLayerNativeKernel &operator=(const CLDepthwiseConvolutionLayerNativeKernel &) = delete; |
| /** Allow instances of this class to be moved */ |
| CLDepthwiseConvolutionLayerNativeKernel(CLDepthwiseConvolutionLayerNativeKernel &&) = default; |
| /** Allow instances of this class to be moved */ |
| CLDepthwiseConvolutionLayerNativeKernel &operator=(CLDepthwiseConvolutionLayerNativeKernel &&) = default; |
| /** Initialize the function's source, destination and parameters |
| * |
| * @param[in] input Source tensor. Data type supported: QASYMM8/QASYMM8_SIGNED/FP32/FP16. Data layout supported: NHWC |
| * @param[in] weights Weights tensor. A 3D tensor with dimensions [IFM, N, M]. |
| * Data type supported: Same as @p input or QASYMM8/QASYMM8_SIGNED/QSYMM8_PER_CHANNEL when @p input is QASYMM8. |
| * @param[in] biases Biases tensor. A 1D tensor with dimensions [IFM]. Must be nullptr if not needed. |
| * Data type supported: Same as @p input, S32 when input is QASYMM8/QASYMM8_SIGNED. |
| * @param[out] output Destination tensor. Data type supported: Same as @p input. |
| * @param[in] dwc_info Depthwise convolution layer info |
| * @param[in] conv_info Convolution info (padding, stride, dilation, ...) |
| * @param[in] output_multipliers (Optional) Output multipliers tensor for quantized computations. In case of per-channel quantization, |
| * the number of multipliers must be equal to the number of filters (IFM). Supported data types: S32 |
| * @param[in] output_shifts (Optional) Output shifts tensor for quantized computations. In case of per-channel quantization, |
| * the number of multipliers must be equal to the number of filters (IFM). Supported data types: S32 |
| */ |
| void configure(const ICLTensor *input, const ICLTensor *weights, const ICLTensor *biases, ICLTensor *output, const DWCComputeKernelInfo &dwc_info, |
| const ConvolutionInfo &conv_info, const ICLTensor *output_multipliers = nullptr, const ICLTensor *output_shifts = nullptr); |
| /** Initialize the function's source, destination and parameters |
| * |
| * @param[in] compile_context The compile context to be used. |
| * @param[in] input Source tensor. Data type supported: QASYMM8/QASYMM8_SIGNED/FP32/FP16. Data layout supported: NHWC |
| * @param[in] weights Weights tensor. A 3D tensor with dimensions [IFM, N, M]. |
| * Data type supported: Same as @p input or QASYMM8/QASYMM8_SIGNED/QSYMM8_PER_CHANNEL when @p input is QASYMM8. |
| * @param[in] biases Biases tensor. A 1D tensor with dimensions [IFM]. Must be nullptr if not needed. |
| * Data type supported: Same as @p input, S32 when input is QASYMM8/QASYMM8_SIGNED. |
| * @param[out] output Destination tensor. Data type supported: Same as @p input. |
| * @param[in] dwc_info Depthwise convolution layer info |
| * @param[in] conv_info Convolution info (padding, stride, dilation, ...) |
| * @param[in] output_multipliers (Optional) Output multipliers tensor for quantized computations. In case of per-channel quantization, |
| * the number of multipliers must be equal to the number of filters (IFM). Supported data types: S32 |
| * @param[in] output_shifts (Optional) Output shifts tensor for quantized computations. In case of per-channel quantization, |
| * the number of multipliers must be equal to the number of filters (IFM). Supported data types: S32 |
| */ |
| void configure(const CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *weights, const ICLTensor *biases, ICLTensor *output, const DWCComputeKernelInfo &dwc_info, |
| const ConvolutionInfo &conv_info, const ICLTensor *output_multipliers = nullptr, const ICLTensor *output_shifts = nullptr); |
| /** Static function to check if given info will lead to a valid configuration of @ref CLDepthwiseConvolutionLayerNativeKernel |
| * |
| * @param[in] input Source tensor info. Data type supported: QASYMM8/QASYMM8_SIGNED/FP32/FP16. Data layout supported: NHWC |
| * @param[in] weights Weights tensor info. A 3D tensor with dimensions [IFM, N, M]. |
| * Data type supported: Same as @p input or QASYMM8/QASYMM8_SIGNED/QSYMM8_PER_CHANNEL when @p input is QASYMM8. |
| * @param[in] biases Biases tensor info. A 1D tensor with dimensions [IFM]. Must be nullptr if not needed. |
| * Data type supported: Same as @p input, S32 when input is QASYMM8/QASYMM8_SIGNED. |
| * @param[in] output Destination tensor info. Data type supported: Same as @p input. |
| * @param[in] dwc_info Depthwise convolution layer info |
| * @param[in] conv_info Convolution info (padding, stride, dilation, ...) |
| * @param[in] output_multipliers (Optional) Output multipliers tensor for quantized computations. In case of per-channel quantization, |
| * the number of multipliers must be equal to the number of filters (IFM). Supported data types: S32 |
| * @param[in] output_shifts (Optional) Output shifts tensor for quantized computations. In case of per-channel quantization, |
| * the number of multipliers must be equal to the number of filters (IFM). Supported data types: S32 |
| * |
| * @return a status |
| */ |
| static Status validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, const DWCComputeKernelInfo &dwc_info, |
| const ConvolutionInfo &conv_info, const ITensorInfo *output_multipliers = nullptr, const ITensorInfo *output_shifts = nullptr); |
| |
| // Inherited methods overridden: |
| void run(const Window &window, cl::CommandQueue &queue) override; |
| |
| private: |
| const ICLTensor *_input; |
| const ICLTensor *_weights; |
| const ICLTensor *_biases; |
| ICLTensor *_output; |
| unsigned int _depth_multiplier; |
| const ICLTensor *_output_multipliers; |
| const ICLTensor *_output_shifts; |
| bool _export_to_cl_image; |
| bool _is_quantized; |
| }; |
| } // namespace arm_compute |
| #endif /*ARM_COMPUTE_CLDEPTHWISECONVOLUTIONLAYERNATIVEKERNEL_H */ |