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Diffstat (limited to 'src/core/CL/kernels/CLFuseBatchNormalizationKernel.h')
| -rw-r--r-- | src/core/CL/kernels/CLFuseBatchNormalizationKernel.h | 147 |
1 files changed, 147 insertions, 0 deletions
diff --git a/src/core/CL/kernels/CLFuseBatchNormalizationKernel.h b/src/core/CL/kernels/CLFuseBatchNormalizationKernel.h new file mode 100644 index 0000000000..76ec7a759f --- /dev/null +++ b/src/core/CL/kernels/CLFuseBatchNormalizationKernel.h @@ -0,0 +1,147 @@ +/* + * 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_CLFUSEBATCHNORMALIZATIONKERNEL_H +#define ARM_COMPUTE_CLFUSEBATCHNORMALIZATIONKERNEL_H + +#include "src/core/CL/ICLKernel.h" + +namespace arm_compute +{ +// Forward declarations +class ICLTensor; + +/** OpenCL kernel to fuse the batch normalization node to a preceding convolution node */ +class CLFuseBatchNormalizationKernel : public ICLKernel +{ +public: + /** Default constructor */ + CLFuseBatchNormalizationKernel(); + /** Prevent instances of this class from being copied (As this class contains pointers) */ + CLFuseBatchNormalizationKernel(const CLFuseBatchNormalizationKernel &) = delete; + /** Prevent instances of this class from being copied (As this class contains pointers) */ + CLFuseBatchNormalizationKernel &operator=(const CLFuseBatchNormalizationKernel &) = delete; + /** Allow instances of this class to be moved */ + CLFuseBatchNormalizationKernel(CLFuseBatchNormalizationKernel &&) = default; + /** Allow instances of this class to be moved */ + CLFuseBatchNormalizationKernel &operator=(CLFuseBatchNormalizationKernel &&) = default; + /** Default destructor */ + ~CLFuseBatchNormalizationKernel() = 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 Output fused weights tensor. It can be a nullptr in case of in-place computation. Same as @p input_weights + * @param[out] fused_bias 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 ICLTensor *input_weights, + const ICLTensor *bn_mean, + const ICLTensor *bn_var, + ICLTensor *fused_weights, + ICLTensor *fused_bias, + const ICLTensor *input_bias = nullptr, + const ICLTensor *bn_beta = nullptr, + const ICLTensor *bn_gamma = nullptr, + float epsilon = 0.001f, + FuseBatchNormalizationType fbn_type = FuseBatchNormalizationType::CONVOLUTION); + /** Set the source, destination of the kernel + * + * @param[in] compile_context The compile context to be used. + * @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 Output fused weights tensor. It can be a nullptr in case of in-place computation. Same as @p input_weights + * @param[out] fused_bias 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 CLCompileContext &compile_context, + const ICLTensor *input_weights, + const ICLTensor *bn_mean, + const ICLTensor *bn_var, + ICLTensor *fused_weights, + ICLTensor *fused_bias, + const ICLTensor *input_bias = nullptr, + const ICLTensor *bn_beta = nullptr, + const ICLTensor *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 CLFuseBatchNormalizationKernel + * + * @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 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 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, cl::CommandQueue &queue) override; + +private: + const ICLTensor *_input_weights; + const ICLTensor *_input_bias; + const ICLTensor *_bn_mean; + const ICLTensor *_bn_var; + const ICLTensor *_bn_gamma; + const ICLTensor *_bn_beta; + ICLTensor *_fused_weights; + ICLTensor *_fused_bias; + float _epsilon; + bool _run_in_place_weights; + bool _run_in_place_bias; +}; +} // namespace arm_compute +#endif /*ARM_COMPUTE_CLFUSEBATCHNORMALIZATIONKERNEL_H */ |