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Diffstat (limited to 'arm_compute/core/CL/kernels/CLFuseBatchNormalizationKernel.h')
| -rw-r--r-- | arm_compute/core/CL/kernels/CLFuseBatchNormalizationKernel.h | 126 |
1 files changed, 0 insertions, 126 deletions
diff --git a/arm_compute/core/CL/kernels/CLFuseBatchNormalizationKernel.h b/arm_compute/core/CL/kernels/CLFuseBatchNormalizationKernel.h deleted file mode 100644 index 2fe6b223ca..0000000000 --- a/arm_compute/core/CL/kernels/CLFuseBatchNormalizationKernel.h +++ /dev/null @@ -1,126 +0,0 @@ -/* - * 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 "arm_compute/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 */ |