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author | Michalis Spyrou <michalis.spyrou@arm.com> | 2020-10-21 00:04:14 +0100 |
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committer | Michalis Spyrou <michalis.spyrou@arm.com> | 2020-11-03 15:10:47 +0000 |
commit | ebcebf1dee7f8314976b1e0cabd62b4cf893d765 (patch) | |
tree | 95d3e691a0e88a3e213a1d30446a9224497f2055 /src/core/NEON/kernels/NEDepthwiseConvolutionLayerNativeKernel.h | |
parent | da4b1b2055d96aaf73704eb9b0b82d74dc2d699c (diff) | |
download | ComputeLibrary-ebcebf1dee7f8314976b1e0cabd62b4cf893d765.tar.gz |
COMPMID-3638: Move NEON kernels
Signed-off-by: Michalis Spyrou <michalis.spyrou@arm.com>
Change-Id: Ieed3e4bc8be7fef80c90c5094599b477a56fc473
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/4285
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'src/core/NEON/kernels/NEDepthwiseConvolutionLayerNativeKernel.h')
-rw-r--r-- | src/core/NEON/kernels/NEDepthwiseConvolutionLayerNativeKernel.h | 131 |
1 files changed, 131 insertions, 0 deletions
diff --git a/src/core/NEON/kernels/NEDepthwiseConvolutionLayerNativeKernel.h b/src/core/NEON/kernels/NEDepthwiseConvolutionLayerNativeKernel.h new file mode 100644 index 0000000000..713cdcd9d9 --- /dev/null +++ b/src/core/NEON/kernels/NEDepthwiseConvolutionLayerNativeKernel.h @@ -0,0 +1,131 @@ +/* + * 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/utils/misc/Traits.h" +#include "src/core/NEON/INEKernel.h" +#include "support/Requires.h" + +#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC +#include <arm_neon.h> +#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; + /** Default destructor */ + ~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 <typename T> + using FloatEnalber = typename std::enable_if<arm_compute::utils::traits::is_floating_point<T>::value, int>::type; + + template <typename T, typename TW, FloatEnalber<T> = 0> + void run_depthwise(const Window &window, bool has_biases); + + template <typename T> + using Quantized8bitEnalber = typename std::enable_if < std::is_same<T, uint8_t>::value || std::is_same<T, int8_t>::value, int >::type; + + template <typename T, typename TW, Quantized8bitEnalber<T> = 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<int> _output_multiplier; + std::vector<int> _output_shift; + bool _has_biases; +}; +} // namespace arm_compute +#endif /* ARM_COMPUTE_NEDEPTHWISECONVOLUTIONLAYERNATIVEKERNEL_H */ |