| /* |
| * Copyright (c) 2018-2019 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_CLDEPTHWISECONVOLUTIONNCHWKERNEL3x3_H |
| #define ARM_COMPUTE_CLDEPTHWISECONVOLUTIONNCHWKERNEL3x3_H |
| |
| #include "arm_compute/core/CL/kernels/ICLDepthwiseConvolutionLayer3x3Kernel.h" |
| |
| namespace arm_compute |
| { |
| class ICLTensor; |
| |
| /** Interface for the kernel to run a 3x3 depthwise convolution on a tensor when the data layout is NCHW. |
| */ |
| class CLDepthwiseConvolutionLayer3x3NCHWKernel : public ICLDepthwiseConvolutionLayer3x3Kernel |
| { |
| public: |
| /** Default constructor */ |
| CLDepthwiseConvolutionLayer3x3NCHWKernel(); |
| /** Initialize the function's source, destination, conv and border_size. |
| * |
| * @param[in] input Source tensor. DataType supported: QASYMM8/QASYMM8_SIGNED/F16/F32. |
| * @param[in] weights Weights tensor. A 3D tensor with dimensions [3, 3, IFM]. |
| * Data type supported: Same as @p input or QASYMM8/QASYMM8_SIGNED/QSYMM8_PER_CHANNEL when @p input is QASYMM8/QASYMM8_SIGNED. |
| * @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] conv_info Padding and stride information to use for the convolution. |
| * @param[in] depth_multiplier (Optional) Multiplier to apply to the input's depth in order to retrieve the output's depth. Defaults to 1. |
| * @param[in] act_info (Optional) Activation layer information in case of a fused activation. Only RELU, BOUNDED_RELU and LU_BOUNDED_RELU for QASYMM8 supported. |
| * @param[in] dilation (Optional) Dilation, in elements, across x and y. Defaults to (1, 1). |
| * @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 PadStrideInfo &conv_info, |
| unsigned int depth_multiplier = 1, ActivationLayerInfo act_info = ActivationLayerInfo(), const Size2D &dilation = Size2D(1U, 1U), |
| const ICLTensor *output_multipliers = nullptr, const ICLTensor *output_shifts = nullptr) override; |
| /** Static function to check if given info will lead to a valid configuration of @ref CLDepthwiseConvolutionLayer3x3NCHWKernel |
| * |
| * @param[in] input Source tensor info. DataType supported: QASYMM8/QASYMM8_SIGNED/F16/F32. |
| * @param[in] weights Weights tensor info. A 3D tensor with dimensions [3, 3, IFM]. |
| * Data type supported: Same as @p input or QASYMM8/QASYMM8_SIGNED/QSYMM8_PER_CHANNEL when @p input is QASYMM8/QASYMM8_SIGNED. |
| * @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. Data type supported: Same as @p input. |
| * @param[in] conv_info Padding and stride information to use for the convolution. |
| * @param[in] depth_multiplier (Optional) Multiplier to apply to the input's depth in order to retrieve the output's depth. Defaults to 1. |
| * @param[in] act_info (Optional) Activation layer information in case of a fused activation. Only RELU, BOUNDED_RELU and LU_BOUNDED_RELU are supported. |
| * @param[in] gpu_target (Optional) GPU target to validate the kernel for. Defaults to midgard. |
| * @param[in] dilation (Optional) Dilation, in elements, across x and y. Defaults to (1, 1). |
| * @param[in] output_multipliers (Optional) Output multipliers tensor info 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 PadStrideInfo &conv_info, |
| unsigned int depth_multiplier = 1, ActivationLayerInfo act_info = ActivationLayerInfo(), GPUTarget gpu_target = GPUTarget::MIDGARD, |
| const Size2D &dilation = Size2D(1U, 1U), const ITensorInfo *output_multipliers = nullptr, const ITensorInfo *output_shifts = nullptr); |
| |
| void run(const Window &window, cl::CommandQueue &queue) override; |
| BorderSize border_size() const override; |
| |
| private: |
| unsigned int _conv_stride_x; |
| unsigned int _conv_pad_top; |
| unsigned int _conv_pad_left; |
| }; |
| } // namespace arm_compute |
| #endif /*ARM_COMPUTE_CLDEPTHWISECONVOLUTIONNCHWKERNEL3x3_H */ |