diff options
author | Michalis Spyrou <michalis.spyrou@arm.com> | 2020-10-21 00:04:14 +0100 |
---|---|---|
committer | Michalis Spyrou <michalis.spyrou@arm.com> | 2020-11-03 15:10:47 +0000 |
commit | ebcebf1dee7f8314976b1e0cabd62b4cf893d765 (patch) | |
tree | 95d3e691a0e88a3e213a1d30446a9224497f2055 /src/core/NEON/kernels/NEFuseBatchNormalizationKernel.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/NEFuseBatchNormalizationKernel.h')
-rw-r--r-- | src/core/NEON/kernels/NEFuseBatchNormalizationKernel.h | 116 |
1 files changed, 116 insertions, 0 deletions
diff --git a/src/core/NEON/kernels/NEFuseBatchNormalizationKernel.h b/src/core/NEON/kernels/NEFuseBatchNormalizationKernel.h new file mode 100644 index 0000000000..ee767b01c8 --- /dev/null +++ b/src/core/NEON/kernels/NEFuseBatchNormalizationKernel.h @@ -0,0 +1,116 @@ +/* + * Copyright (c) 2018-2020 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_NEFUSEBATCHNORMALIZATIONKERNEL_H +#define ARM_COMPUTE_NEFUSEBATCHNORMALIZATIONKERNEL_H + +#include "src/core/NEON/INEKernel.h" + +namespace arm_compute +{ +// Forward declarations +class ITensor; + +/** OpenNE kernel to fuse the batch normalization node to a preceding convolution node */ +class NEFuseBatchNormalizationKernel : public INEKernel +{ +public: + const char *name() const override + { + return "NEFuseBatchNormalizationKernel"; + } + /** Default constructor */ + NEFuseBatchNormalizationKernel(); + /** Prevent instances of this class from being copied (As this class contains pointers) */ + NEFuseBatchNormalizationKernel(const NEFuseBatchNormalizationKernel &) = delete; + /** Prevent instances of this class from being copied (As this class contains pointers) */ + NEFuseBatchNormalizationKernel &operator=(const NEFuseBatchNormalizationKernel &) = delete; + /** Allow instances of this class to be moved */ + NEFuseBatchNormalizationKernel(NEFuseBatchNormalizationKernel &&) = default; + /** Allow instances of this class to be moved */ + NEFuseBatchNormalizationKernel &operator=(NEFuseBatchNormalizationKernel &&) = default; + /** Default destructor */ + ~NEFuseBatchNormalizationKernel() = default; + /** Set the source, destination of the kernel + * + * @param[in] input_weights Input weights tensor for convolution or depthwise convolution layer. Data type supported: F16/F32. Data layout supported: NCHW, NHWC + * @param[in] bn_mean Batch normalization layer mean tensor. Same as @p input_weights + * @param[in] bn_var Batch normalization layer variance tensor. Same as @p input_weights + * @param[out] fused_weights (Optional) Output fused weights tensor. It can be a nullptr in case of in-place computation. Same as @p input_weights + * @param[out] fused_bias (Optional) Output fused bias tensor. It can be a nullptr in case of in-place computation and input_bias != nullptr. Same as @p input_weights + * @param[in] input_bias (Optional) Input bias tensor for convolution or depthwise convolution layer. It can be a nullptr in case the bias tensor is not required. Same as @p input_weights + * @param[in] bn_beta (Optional) Batch normalization layer beta tensor. It can be a nullptr in case the beta tensor is not required. Same as @p input_weights + * @note if nullptr, bn_beta is set to 0.0 + * @param[in] bn_gamma (Optional) Batch normalization layer gamma tensor. It can be a nullptr in case the gamma tensor is not required. Same as @p input_weights + * @note if nullptr, bn_gamma is set to 1.0 + * @param[in] epsilon (Optional) Batch normalization layer epsilon parameter. Defaults to 0.001f. + * @param[in] fbn_type (Optional) Fused batch normalization type. Defaults to CONVOLUTION. + */ + void configure(const ITensor *input_weights, const ITensor *bn_mean, const ITensor *bn_var, ITensor *fused_weights, ITensor *fused_bias, + const ITensor *input_bias = nullptr, const ITensor *bn_beta = nullptr, const ITensor *bn_gamma = nullptr, + float epsilon = 0.001f, FuseBatchNormalizationType fbn_type = FuseBatchNormalizationType::CONVOLUTION); + /** Static function to check if given info will lead to a valid configuration of @ref NEFuseBatchNormalizationKernel + * + * @param[in] input_weights Input weights tensor info for convolution or depthwise convolution layer. Data type supported: F16/F32. Data layout supported: NCHW, NHWC + * @param[in] bn_mean Batch normalization layer mean tensor info. Same as @p input_weights + * @param[in] bn_var Batch normalization layer variance tensor info. Same as @p input_weights + * @param[in] fused_weights (Optional) Output fused weights tensor info. It can be a nullptr in case of in-place computation. Same as @p input_weights + * @param[in] fused_bias (Optional) Output fused bias tensor info. It can be a nullptr in case of in-place computation and input_bias != nullptr. Same as @p input_weights + * @param[in] input_bias (Optional) Input bias tensor info for convolution or depthwise convolution layer. It can be a nullptr in case the bias tensor is not required. Same as @p input_weights + * @param[in] bn_beta (Optional) Batch normalization layer beta tensor info. It can be a nullptr in case the beta tensor is not required. Same as @p input_weights + * @note if nullptr, bn_beta is set to 0.0 + * @param[in] bn_gamma (Optional) Batch normalization layer gamma tensor info. It can be a nullptr in case the gamma tensor is not required. Same as @p input_weights + * @note if nullptr, bn_gamma is set to 1.0 + * @param[in] epsilon (Optional) Batch normalization layer epsilon parameter. Defaults to 0.001f. + * @param[in] fbn_type (Optional) Fused batch normalization type. Defaults to CONVOLUTION. + * + * @return a status + */ + static Status validate(const ITensorInfo *input_weights, const ITensorInfo *bn_mean, const ITensorInfo *bn_var, + const ITensorInfo *fused_weights, const ITensorInfo *fused_bias, + const ITensorInfo *input_bias = nullptr, const ITensorInfo *bn_beta = nullptr, const ITensorInfo *bn_gamma = nullptr, + float epsilon = 0.001f, FuseBatchNormalizationType fbn_type = FuseBatchNormalizationType::CONVOLUTION); + + // Inherited methods overridden: + void run(const Window &window, const ThreadInfo &info) override; + +private: + const ITensor *_input_weights; + const ITensor *_input_bias; + const ITensor *_bn_mean; + const ITensor *_bn_var; + const ITensor *_bn_gamma; + const ITensor *_bn_beta; + ITensor *_fused_weights; + ITensor *_fused_bias; + float _epsilon; + bool _run_in_place_weights; + bool _run_in_place_bias; + + using FuseBatchNormFunction = void(const ITensor *input_weights, const ITensor *input_bias, ITensor *fused_weights, ITensor *fused_bias, + const ITensor *bn_mean, const ITensor *bn_var, const ITensor *bn_beta, const ITensor *bn_gamma, float epsilon, const Window &window); + + FuseBatchNormFunction *_func; +}; +} // namespace arm_compute +#endif /*ARM_COMPUTE_NEFUSEBATCHNORMALIZATIONKERNEL_H */ |