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/*
* Copyright (c) 2018 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] conv_weights Convolution layer weights tensor. Data type supported: F16/F32
* @param[in] bn_mean Batch normalization layer mean tensor. Same as @p conv_weights
* @param[in] bn_var Batch normalization layer variance tensor. Same as @p conv_weights
* @param[out] fused_weights Output fused weights tensor. It can be a nullptr in case of in-place computation. Same as @p conv_weights
* @param[out] fused_bias Output fused bias tensor. It can be a nullptr in case of in-place computation and conv_bias != nullptr. Same as @p conv_weights
* @param[in] conv_bias (Optional) Convolution layer bias tensor. It can be a nullptr in case the bias tensor is not required. Same as @p conv_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 conv_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 conv_weights
* @note if nullptr, bn_gamma is set to 1.0
* @param[in] epsilon (Optional) Batch normalization layer epsilon parameter. Defaults to 0.001f.
*/
void configure(const ICLTensor *conv_weights, const ICLTensor *bn_mean, const ICLTensor *bn_var, ICLTensor *fused_weights, ICLTensor *fused_bias,
const ICLTensor *conv_bias = nullptr, const ICLTensor *bn_beta = nullptr, const ICLTensor *bn_gamma = nullptr,
float epsilon = 0.001f);
/** Static function to check if given info will lead to a valid configuration of @ref CLFuseBatchNormalizationKernel
*
* @param[in] conv_weights Convolution layer weights tensor info. Data type supported: F16/F32
* @param[in] bn_mean Batch normalization layer mean tensor info. Same as @p conv_weights
* @param[in] bn_var Batch normalization layer variance tensor info. Same as @p conv_weights
* @param[out] fused_weights Output fused weights tensor info. It can be a nullptr in case of in-place computation. Same as @p conv_weights
* @param[out] fused_bias Output fused bias tensor info. It can be a nullptr in case of in-place computation and conv_bias != nullptr. Same as @p conv_weights
* @param[in] conv_bias (Optional) Convolution layer bias tensor info. It can be a nullptr in case the bias tensor is not required. Same as @p conv_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 conv_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 conv_weights
* @note if nullptr, bn_gamma is set to 1.0
* @param[in] epsilon (Optional) Batch normalization layer epsilon parameter. Defaults to 0.001f.
*
* @return a status
*/
static Status validate(const ITensorInfo *conv_weights, const ITensorInfo *bn_mean, const ITensorInfo *bn_var,
const ITensorInfo *fused_weights, const ITensorInfo *fused_bias,
const ITensorInfo *conv_bias = nullptr, const ITensorInfo *bn_beta = nullptr, const ITensorInfo *bn_gamma = nullptr,
float epsilon = 0.001f);
// Inherited methods overridden:
void run(const Window &window, cl::CommandQueue &queue) override;
private:
const ICLTensor *_conv_weights;
const ICLTensor *_conv_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__ */
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