From ebcebf1dee7f8314976b1e0cabd62b4cf893d765 Mon Sep 17 00:00:00 2001 From: Michalis Spyrou Date: Wed, 21 Oct 2020 00:04:14 +0100 Subject: COMPMID-3638: Move NEON kernels Signed-off-by: Michalis Spyrou Change-Id: Ieed3e4bc8be7fef80c90c5094599b477a56fc473 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/4285 Comments-Addressed: Arm Jenkins Reviewed-by: Georgios Pinitas Tested-by: Arm Jenkins --- .../NEDepthwiseConvolutionLayerNativeKernel.h | 129 --------------------- 1 file changed, 129 deletions(-) delete mode 100644 arm_compute/core/NEON/kernels/NEDepthwiseConvolutionLayerNativeKernel.h (limited to 'arm_compute/core/NEON/kernels/NEDepthwiseConvolutionLayerNativeKernel.h') diff --git a/arm_compute/core/NEON/kernels/NEDepthwiseConvolutionLayerNativeKernel.h b/arm_compute/core/NEON/kernels/NEDepthwiseConvolutionLayerNativeKernel.h deleted file mode 100644 index eba1737a03..0000000000 --- a/arm_compute/core/NEON/kernels/NEDepthwiseConvolutionLayerNativeKernel.h +++ /dev/null @@ -1,129 +0,0 @@ -/* - * Copyright (c) 2019-2020 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_NEDEPTHWISECONVOLUTIONLAYERNATIVEKERNEL_H -#define ARM_COMPUTE_NEDEPTHWISECONVOLUTIONLAYERNATIVEKERNEL_H - -#include "arm_compute/core/NEON/INEKernel.h" -#include "arm_compute/core/utils/misc/Traits.h" -#include "support/Requires.h" - -#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC -#include -#endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC - -namespace arm_compute -{ -// Forward declarations -class ITensor; - -/** Interface for the kernel to run a depthwise convolution native on a tensor. */ -class NEDepthwiseConvolutionLayerNativeKernel : public INEKernel -{ -public: - const char *name() const override - { - return "NEDepthwiseConvolutionLayerNativeKernel"; - } - /** Default constructor */ - NEDepthwiseConvolutionLayerNativeKernel(); - /** Prevent instances of this class from being copied (As this class contains pointers) */ - NEDepthwiseConvolutionLayerNativeKernel(const NEDepthwiseConvolutionLayerNativeKernel &) = delete; - /** Prevent instances of this class from being copied (As this class contains pointers) */ - NEDepthwiseConvolutionLayerNativeKernel &operator=(const NEDepthwiseConvolutionLayerNativeKernel &) = delete; - /** Default Move Constructor. */ - NEDepthwiseConvolutionLayerNativeKernel(NEDepthwiseConvolutionLayerNativeKernel &&) = default; - /** Default move assignment operator */ - NEDepthwiseConvolutionLayerNativeKernel &operator=(NEDepthwiseConvolutionLayerNativeKernel &&) = default; - /** Initialize the function's source, destination and parameters. - * - * @note Supported data layouts: NHWC - * - * @param[in] input Source tensor. DataType supported: QASYMM8/QASYMM8_SIGNED/F16/F32. - * @param[in] weights Weights tensor. This is a 3D tensor with dimensions [IFM, W, H]. - * 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] dilation (Optional) Dilation, in elements, across x and y. Defaults to (1, 1). - * - */ - void configure(const ITensor *input, const ITensor *weights, const ITensor *biases, ITensor *output, const PadStrideInfo &conv_info, unsigned int depth_multiplier = 1, - const Size2D &dilation = Size2D(1U, 1U)); - /** Static function to check if given info will lead to a valid configuration of @ref NEDepthwiseConvolutionLayerNativeKernel - * - * @note Supported data layouts: NHWC - * - * @param[in] input Source tensor info. DataType supported: QASYMM8/QASYMM8_SIGNED/F16/F32. - * @param[in] weights Weights tensor info. This is a 3D tensor with dimensions [IFM, W, H]. - * 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 info. 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] dilation (Optional) Dilation, in elements, across x and y. Defaults to (1, 1). - * - * @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, - const Size2D &dilation = Size2D(1U, 1U)); - - // Inherited methods overridden: - void run(const Window &window, const ThreadInfo &info) override; - -private: - template - using FloatEnalber = typename std::enable_if::value, int>::type; - - template = 0> - void run_depthwise(const Window &window, bool has_biases); - - template - using Quantized8bitEnalber = typename std::enable_if < std::is_same::value || std::is_same::value, int >::type; - - template = 0> - void run_depthwise(const Window &window, bool has_biases); - - /** Common signature for all the specialised depthwise convolution native functions - * - * @param[in] window Region on which to execute the kernel. - */ - using DepthwiseFunctionPtr = void (NEDepthwiseConvolutionLayerNativeKernel::*)(const Window &window, bool has_biases); - - DepthwiseFunctionPtr _func; - const ITensor *_input; - const ITensor *_weights; - const ITensor *_biases; - ITensor *_output; - PadStrideInfo _conv_info; - unsigned int _depth_multiplier; - Size2D _dilation; - std::vector _output_multiplier; - std::vector _output_shift; - bool _has_biases; -}; -} // namespace arm_compute -#endif /* ARM_COMPUTE_NEDEPTHWISECONVOLUTIONLAYERNATIVEKERNEL_H */ -- cgit v1.2.1