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/*
* Copyright (c) 2016-2023 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_FUNCTION_INFO_FULLYCONNECTEDLAYERINFO
#define ACL_ARM_COMPUTE_FUNCTION_INFO_FULLYCONNECTEDLAYERINFO
#include "arm_compute/core/CoreTypes.h"
#include "arm_compute/function_info/ActivationLayerInfo.h"
namespace arm_compute
{
/** Fully connected layer info */
struct FullyConnectedLayerInfo
{
/* Fused-activation parameters */
ActivationLayerInfo activation_info{}; /**< Fused activation to apply after the matrix multiplication. */
/* Information about weights */
DataLayout weights_trained_layout{DataLayout::NCHW}; /**< Layout that the weights have been trained with. */
bool transpose_weights{true}; /**< Transpose weights if true. */
bool are_weights_reshaped{false}; /**< @deprecated Reshape the weights tensor if false. */
bool retain_internal_weights{false}; /**< Retain internal reshaped weights. */
bool enable_fast_math{false}; /**< Enable fast math computation. */
/* Other parameters */
bool fp_mixed_precision{false}; /**< Use wider accumulators (32 bit instead of 16 for FP16) to improve accuracy. */
/** Sets the weights trained data layout
*
* @param[in] layout Data layout that the weights were trained with
*
* @return Updated object
*/
FullyConnectedLayerInfo &set_weights_trained_layout(DataLayout layout)
{
weights_trained_layout = layout;
return *this;
}
/** Sets the transpose weights flag
*
* @param[in] should_transpose_weights Boolean flag indicating if weights should be transposed
*
* @return Updated object
*/
FullyConnectedLayerInfo &set_transpose_weights(bool should_transpose_weights)
{
transpose_weights = should_transpose_weights;
return *this;
}
};
} // namespace arm_compute
#endif /* ACL_ARM_COMPUTE_FUNCTION_INFO_FULLYCONNECTEDLAYERINFO */