123 lines
8.8 KiB
C
123 lines
8.8 KiB
C
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/*
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* Copyright (c) 2018-2020 Arm Limited.
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*
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* SPDX-License-Identifier: MIT
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy
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* of this software and associated documentation files (the "Software"), to
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* deal in the Software without restriction, including without limitation the
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* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
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* sell copies of the Software, and to permit persons to whom the Software is
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* furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in all
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* copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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* SOFTWARE.
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*/
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#ifndef ARM_COMPUTE_CLFUSEBATCHNORMALIZATION_H
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#define ARM_COMPUTE_CLFUSEBATCHNORMALIZATION_H
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#include "arm_compute/core/Types.h"
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#include "arm_compute/runtime/IFunction.h"
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#include <memory>
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namespace arm_compute
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{
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// Forward declarations
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class CLCompileContext;
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class CLFuseBatchNormalizationKernel;
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class ICLTensor;
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class ITensorInfo;
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/** Basic function to fuse the batch normalization node to a preceding convolution node */
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class CLFuseBatchNormalization : public IFunction
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{
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public:
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/** Default constructor */
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CLFuseBatchNormalization();
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/** Prevent instances of this class from being copied (As this class contains pointers) */
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CLFuseBatchNormalization(const CLFuseBatchNormalization &) = delete;
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/** Prevent instances of this class from being copied (As this class contains pointers) */
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CLFuseBatchNormalization &operator=(const CLFuseBatchNormalization &) = delete;
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/** Allow instances of this class to be moved */
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CLFuseBatchNormalization(CLFuseBatchNormalization &&) = default;
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/** Allow instances of this class to be moved */
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CLFuseBatchNormalization &operator=(CLFuseBatchNormalization &&) = default;
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/** Default destructor */
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~CLFuseBatchNormalization();
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/** Set the input and output tensors.
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*
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* @param[in] input_weights Input weights tensor for convolution or depthwise convolution layer. Data type supported: F16/F32. Data layout supported: NCHW, NHWC
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* @param[in] bn_mean Batch normalization layer mean tensor. Same as @p input_weights
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* @param[in] bn_var Batch normalization layer variance tensor. Same as @p input_weights
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* @param[out] fused_weights Output fused weights tensor. It can be a nullptr in case of in-place computation. Same as @p input_weights
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* @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
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* @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
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* @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
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* @note if nullptr, bn_beta is set to 0.0
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* @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
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* @note if nullptr, bn_gamma is set to 1.0
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* @param[in] epsilon (Optional) Batch normalization layer epsilon parameter. Defaults to 0.001f.
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* @param[in] fbn_type (Optional) Fused batch normalization type. Defaults to Convolution.
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*/
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void configure(const ICLTensor *input_weights, const ICLTensor *bn_mean, const ICLTensor *bn_var, ICLTensor *fused_weights, ICLTensor *fused_bias,
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const ICLTensor *input_bias = nullptr, const ICLTensor *bn_beta = nullptr, const ICLTensor *bn_gamma = nullptr,
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float epsilon = 0.001f, FuseBatchNormalizationType fbn_type = FuseBatchNormalizationType::CONVOLUTION);
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/** Set the input and output tensors.
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*
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* @param[in] compile_context The compile context to be used.
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* @param[in] input_weights Input weights tensor for convolution or depthwise convolution layer. Data type supported: F16/F32. Data layout supported: NCHW, NHWC
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* @param[in] bn_mean Batch normalization layer mean tensor. Same as @p input_weights
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* @param[in] bn_var Batch normalization layer variance tensor. Same as @p input_weights
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* @param[out] fused_weights Output fused weights tensor. It can be a nullptr in case of in-place computation. Same as @p input_weights
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* @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
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* @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
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* @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
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* @note if nullptr, bn_beta is set to 0.0
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* @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
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* @note if nullptr, bn_gamma is set to 1.0
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* @param[in] epsilon (Optional) Batch normalization layer epsilon parameter. Defaults to 0.001f.
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* @param[in] fbn_type (Optional) Fused batch normalization type. Defaults to Convolution.
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*/
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void configure(const CLCompileContext &compile_context, const ICLTensor *input_weights, const ICLTensor *bn_mean, const ICLTensor *bn_var, ICLTensor *fused_weights, ICLTensor *fused_bias,
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const ICLTensor *input_bias = nullptr, const ICLTensor *bn_beta = nullptr, const ICLTensor *bn_gamma = nullptr,
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float epsilon = 0.001f, FuseBatchNormalizationType fbn_type = FuseBatchNormalizationType::CONVOLUTION);
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/** Static function to check if given info will lead to a valid configuration of @ref CLFuseBatchNormalization
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*
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* @param[in] input_weights Input weights tensor info for convolution or depthwise convolution layer. Data type supported: F16/F32. Data layout supported: NCHW, NHWC
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* @param[in] bn_mean Batch normalization layer mean tensor info. Same as @p input_weights
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* @param[in] bn_var Batch normalization layer variance tensor info. Same as @p input_weights
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* @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
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* @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
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* @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
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* @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
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* @note if nullptr, bn_beta is set to 0.0
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* @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
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* @note if nullptr, bn_gamma is set to 1.0
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* @param[in] epsilon (Optional) Batch normalization layer epsilon parameter. Defaults to 0.001f.
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* @param[in] fbn_type (Optional) Fused batch normalization type. Defaults to Convolution.
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*
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* @return a status
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*/
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static Status validate(const ITensorInfo *input_weights, const ITensorInfo *bn_mean, const ITensorInfo *bn_var,
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const ITensorInfo *fused_weights, const ITensorInfo *fused_bias,
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const ITensorInfo *input_bias = nullptr, const ITensorInfo *bn_beta = nullptr, const ITensorInfo *bn_gamma = nullptr,
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float epsilon = 0.001f, FuseBatchNormalizationType fbn_type = FuseBatchNormalizationType::CONVOLUTION);
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// Inherited methods overridden:
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void run() override;
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private:
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std::unique_ptr<CLFuseBatchNormalizationKernel> _fuse_bn_kernel;
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};
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} // namespace arm_compute
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#endif /*ARM_COMPUTE_CLFUSEBATCHNORMALIZATION_H */
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