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/*
* Copyright (c) 2019-2021, 2024 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 ACL_ARM_COMPUTE_RUNTIME_CL_FUNCTIONS_CLINSTANCENORMALIZATIONLAYER_H
#define ACL_ARM_COMPUTE_RUNTIME_CL_FUNCTIONS_CLINSTANCENORMALIZATIONLAYER_H
#include "arm_compute/core/Error.h"
#include "arm_compute/runtime/CL/CLTensor.h"
#include "arm_compute/runtime/IFunction.h"
#include <memory>
namespace arm_compute
{
class CLCompileContext;
class ICLTensor;
class ITensorInfo;
class ICLKernel;
class CLRuntimeContext;
/** Basic function to perform a Instance normalization.
*
* This function runs the following kernels:
* -# CLInstanceNormalizationLayerKernel
*/
class CLInstanceNormalizationLayer : public IFunction
{
public:
/** Constructor
*
* @param[in] ctx Runtime context to be used by the function
*/
CLInstanceNormalizationLayer(CLRuntimeContext *ctx = nullptr);
/** Prevent instances of this class from being copied (As this class contains pointers) */
CLInstanceNormalizationLayer(const CLInstanceNormalizationLayer &) = delete;
/** Default move constructor */
CLInstanceNormalizationLayer(CLInstanceNormalizationLayer &&) = default;
/** Prevent instances of this class from being copied (As this class contains pointers) */
CLInstanceNormalizationLayer &operator=(const CLInstanceNormalizationLayer &) = delete;
/** Default move assignment operator */
CLInstanceNormalizationLayer &operator=(CLInstanceNormalizationLayer &&) = default;
/** Default destructor */
~CLInstanceNormalizationLayer();
/** Set the input and output tensors.
*
* Valid data layouts:
* - NHWC
* - NCHW
*
* Valid data type configurations:
* |src |dst |
* |:--------|:---------|
* |F16 |F16 |
* |F32 |F32 |
*
* @param[in, out] input Source tensor. In case of @p output tensor = nullptr this tensor will store the result of the normalization.
* Data types supported: F16/F32. Data layout supported: NHWC, NCHW
* @param[out] output Destination tensor. Data types and data layouts supported: same as @p input.
* @param[in] gamma (Optional) The scale scalar value applied to the normalized tensor. Defaults to 1.0
* @param[in] beta (Optional) The offset scalar value applied to the normalized tensor. Defaults to 0.0
* @param[in] epsilon (Optional) Lower bound value for the normalization. Defaults to 1e-12
* @param[in] use_mixed_precision (Optional) Use mixed precision in case of FP16 execution
*/
void configure(ICLTensor *input,
ICLTensor *output,
float gamma = 1.0f,
float beta = 0.0f,
float epsilon = 1e-12f,
bool use_mixed_precision = true);
/** Set the input and output tensors.
*
* @param[in] compile_context The compile context to be used.
* @param[in, out] input Source tensor. In case of @p output tensor = nullptr this tensor will store the result of the normalization.
* Data types supported: F16/F32. Data layout supported: NHWC, NCHW
* @param[out] output Destination tensor. Data types and data layouts supported: same as @p input.
* @param[in] gamma (Optional) The scale scalar value applied to the normalized tensor. Defaults to 1.0
* @param[in] beta (Optional) The offset scalar value applied to the normalized tensor. Defaults to 0.0
* @param[in] epsilon (Optional) Lower bound value for the normalization. Defaults to 1e-12
* @param[in] use_mixed_precision (Optional) Use mixed precision in case of FP16 execution
*/
void configure(const CLCompileContext &compile_context,
ICLTensor *input,
ICLTensor *output,
float gamma = 1.0f,
float beta = 0.0f,
float epsilon = 1e-12f,
bool use_mixed_precision = true);
/** Static function to check if given info will lead to a valid configuration of @ref CLInstanceNormalizationLayer.
*
* @param[in] input Source tensor info. Data types supported: F16/F32. Data layout supported: NHWC, NCHW
* @param[in] output Destination tensor info. Data types and data layouts supported: same as @p input.
* @param[in] gamma (Optional) The scale scalar value applied to the normalized tensor. Defaults to 1.0
* @param[in] beta (Optional) The offset scalar value applied to the normalized tensor. Defaults to 0.0
* @param[in] epsilon (Optional) Lower bound value for the normalization. Defaults to 1e-12
* @param[in] use_mixed_precision (Optional) Use mixed precision in case of FP16 execution
*
* @return a status
*/
static Status validate(const ITensorInfo *input,
const ITensorInfo *output,
float gamma = 1.0f,
float beta = 0.0f,
float epsilon = 1e-12f,
bool use_mixed_precision = true);
void run() override;
private:
std::unique_ptr<ICLKernel> _inst_norm_kernel; /**< Kernel to run */
std::unique_ptr<ICLKernel> _mean_var_kernel; /**< Kernel to run */
CLTensor _mean_var_tensor;
CLRuntimeContext *_ctx; /**< Context to use */
};
} // namespace arm_compute
#endif // ACL_ARM_COMPUTE_RUNTIME_CL_FUNCTIONS_CLINSTANCENORMALIZATIONLAYER_H
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