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/*
* Copyright (c) 2019-2021 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_CLINSTANCENORMALIZATIONLAYERKERNEL_H
#define ARM_COMPUTE_CLINSTANCENORMALIZATIONLAYERKERNEL_H
#include "arm_compute/core/KernelDescriptors.h"
#include "src/core/CL/ICLKernel.h"
namespace arm_compute
{
// Forward declarations
class ICLTensor;
/** Interface for performing an instance normalization */
class CLInstanceNormalizationLayerKernel : public ICLKernel
{
public:
/** Constructor */
CLInstanceNormalizationLayerKernel();
/** Prevent instances of this class from being copied (As this class contains pointers) */
CLInstanceNormalizationLayerKernel(const CLInstanceNormalizationLayerKernel &) = delete;
/** Prevent instances of this class from being copied (As this class contains pointers) */
CLInstanceNormalizationLayerKernel &operator=(const CLInstanceNormalizationLayerKernel &) = delete;
/** Default Move Constructor. */
CLInstanceNormalizationLayerKernel(CLInstanceNormalizationLayerKernel &&) = default;
/** Default move assignment operator */
CLInstanceNormalizationLayerKernel &operator=(CLInstanceNormalizationLayerKernel &&) = default;
/** Default destructor */
~CLInstanceNormalizationLayerKernel() = default;
/** Set the input and output tensors.
*
* @param[in] compile_context The compile context to be used.
* @param[in, out] input Source tensor. Data types supported: F16/F32. Data layout supported: NCHW, NHWC
* In case of @p output tensor = nullptr this tensor will store the result of the normalization.
* @param[in] mean_var Tensor containing the precomputed mean and variance values. Data types supported: F32.
* @param[out] output Destination tensor. Data types and data layouts supported: same as @p input.
* @param[in] info Kernel meta-data descriptor
*/
void configure(const CLCompileContext &compile_context,
ICLTensor *input,
ICLTensor *mean_var,
ICLTensor *output,
const InstanceNormalizationLayerKernelInfo &info);
/** 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] info Kernel meta-data descriptor
*
* @return a status
*/
static Status
validate(const ITensorInfo *input, const ITensorInfo *output, const InstanceNormalizationLayerKernelInfo &info);
// Inherited methods overridden:
void run(const Window &window, cl::CommandQueue &queue) override;
private:
ICLTensor *_input;
ICLTensor *_output;
ICLTensor *_mean;
bool _run_in_place;
};
/** Interface for compute Mean and Variance per channel */
class CLComputeMeanVariance : public ICLKernel
{
public:
/** Constructor */
CLComputeMeanVariance();
/** Prevent instances of this class from being copied (As this class contains pointers) */
CLComputeMeanVariance(const CLComputeMeanVariance &) = delete;
/** Prevent instances of this class from being copied (As this class contains pointers) */
CLComputeMeanVariance &operator=(const CLComputeMeanVariance &) = delete;
/** Default Move Constructor. */
CLComputeMeanVariance(CLComputeMeanVariance &&) = default;
/** Default move assignment operator */
CLComputeMeanVariance &operator=(CLComputeMeanVariance &&) = default;
/** Default destructor */
~CLComputeMeanVariance() = default;
/** Set the input and output tensors.
*
* @param[in] compile_context The compile context to be used.
* @param[in, out] input Source tensor. Data types supported: F16/F32. Data layout supported: NCHW, NHWC
* In case of @p output tensor = nullptr this tensor will store the result of the normalization.
* @param[out] output Destination tensor. Data types and data layouts supported: same as @p input.
* @param[in] use_mixed_precision Use mixed precision in case of FP16 execution
*/
void
configure(const CLCompileContext &compile_context, ICLTensor *input, ICLTensor *output, bool use_mixed_precision);
/** 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.
*
* @return a status
*/
static Status validate(const ITensorInfo *input, const ITensorInfo *output);
// Inherited methods overridden:
void run(const Window &window, cl::CommandQueue &queue) override;
private:
ICLTensor *_input;
ICLTensor *_output;
};
} // namespace arm_compute
#endif /*ARM_COMPUTE_CLINSTANCENORMALIZATIONLAYERKERNEL_H */
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