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Diffstat (limited to 'arm_compute/runtime/NEON/functions/NEDepthwiseConvolutionLayer.h')
| -rw-r--r-- | arm_compute/runtime/NEON/functions/NEDepthwiseConvolutionLayer.h | 113 |
1 files changed, 113 insertions, 0 deletions
diff --git a/arm_compute/runtime/NEON/functions/NEDepthwiseConvolutionLayer.h b/arm_compute/runtime/NEON/functions/NEDepthwiseConvolutionLayer.h new file mode 100644 index 0000000000..0da16ab2a9 --- /dev/null +++ b/arm_compute/runtime/NEON/functions/NEDepthwiseConvolutionLayer.h @@ -0,0 +1,113 @@ +/* + * Copyright (c) 2017 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_NEDEPTHWISECONVOLUTION_H__ +#define __ARM_COMPUTE_NEDEPTHWISECONVOLUTION_H__ + +#include "arm_compute/core/NEON/kernels/NEDepthwiseConvolutionLayer3x3Kernel.h" +#include "arm_compute/core/NEON/kernels/NEDepthwiseIm2ColKernel.h" +#include "arm_compute/core/NEON/kernels/NEDepthwiseVectorToTensorKernel.h" +#include "arm_compute/core/NEON/kernels/NEDepthwiseWeightsReshapeKernel.h" +#include "arm_compute/core/NEON/kernels/NEDirectConvolutionLayerBiasAccumulateKernel.h" +#include "arm_compute/core/NEON/kernels/NEFillBorderKernel.h" +#include "arm_compute/core/NEON/kernels/NEGEMMMatrixVectorMultiplyKernel.h" +#include "arm_compute/core/Types.h" +#include "arm_compute/runtime/IFunction.h" +#include "arm_compute/runtime/IMemoryManager.h" +#include "arm_compute/runtime/MemoryGroup.h" +#include "arm_compute/runtime/Tensor.h" + +namespace arm_compute +{ +class ITensor; + +/** Basic function to execute a depthwise convolution for kernel size 3x3xC. This function calls the following NEON kernels: + * + * -# @ref NEDepthwiseConvolutionLayer3x3 + * -# @ref NEFillBorderKernel (if pad_x or pad_y > 0) + * + */ +class NEDepthwiseConvolutionLayer3x3 : public IFunction +{ +public: + /** Default constructor */ + NEDepthwiseConvolutionLayer3x3(); + /** Initialize the function's source, destination, kernels and border_size. + * + * @param[in, out] input Source tensor. Data type supported: F32. (Written to only for border filling). + * @param[in] weights Weights tensor. These are 3D tensors with shape [3, 3, IFM]. Data type supported: Same as @p input. + * @param[in] biases (Optional) Biases tensor. A 1D tensor with shape [IFM]. Must be nullptr if not needed. + * 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. + */ + void configure(ITensor *input, const ITensor *weights, const ITensor *biases, ITensor *output, const PadStrideInfo &conv_info); + + // Inherited methods overriden: + void run() override; + +private: + NEDepthwiseConvolutionLayer3x3Kernel _kernel; + NEDirectConvolutionLayerBiasAccumulateKernel _bias_kernel; + NEFillBorderKernel _border_handler; + bool _has_bias; +}; + +/** Basic function to execute a generic depthwise convolution. This function calls the following OpenCL kernels: + * + * -# @ref NEDepthwiseIm2ColKernel + * -# @ref NEDepthwiseWeightsReshapeKernel + * -# @ref NEGEMMMatrixVectorMultiplyKernel + * -# @ref NEFillBorderKernel (if pad_x or pad_y > 0) + * + */ +class NEDepthwiseConvolutionLayer : public IFunction +{ +public: + /** Default constructor */ + NEDepthwiseConvolutionLayer(); + /** Initialize the function's source, destination, weights and convolution information. + * + * @param[in, out] input Source tensor. Data type supported: F32. (Written to only for border filling). + * @param[out] output Destination tensor. Data type supported: same as @p input. + * @param[in] weights Weights tensor. These are 3D tensors with shape [kernel_x, kernel_y, IFM]. Data type supported: Same as @p input. + * @param[in] biases (Optional) Biases tensor. A 1D tensor with shape [IFM]. Must be nullptr if not needed. + * Data type supported: Same as @p input. + * @param[in] conv_info Padding and stride information to use for the convolution. + */ + void configure(ITensor *input, const ITensor *weights, const ITensor *biases, ITensor *output, const PadStrideInfo &conv_info); + + // Inherited methods overriden: + void run() override; + +private: + NEDepthwiseIm2ColKernel _im2col_kernel; + NEDepthwiseWeightsReshapeKernel _weights_reshape_kernel; + NEGEMMMatrixVectorMultiplyKernel _v2mm_kernel; + NEDepthwiseVectorToTensorKernel _vector_to_tensor_kernel; + Tensor _input_reshaped; + Tensor _weights_reshaped; + Tensor _v2mm_output; +}; +} +#endif /* __ARM_COMPUTE_NEDEPTHWISECONVOLUTION_H__ */
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