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/*
* Copyright (c) 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_GRAPH_FUSED_CONVOLUTION_BATCH_NORMALIZATION_WITH_POST_OPS_NODE_H
#define ARM_COMPUTE_GRAPH_FUSED_CONVOLUTION_BATCH_NORMALIZATION_WITH_POST_OPS_NODE_H
#include "arm_compute/graph/INode.h"
namespace arm_compute
{
namespace graph
{
/** Batch Normalization node */
class FusedConvolutionBatchNormalizationWithPostOpsNode final : public INode
{
public:
/** Constructor
*
* @param[in] epsilon Epsilon parameter.
* @param[in] info Convolution layer attributes.
* @param[in] num_groups (Optional) Number of groups (Defaults to 1)
* @param[in] method (Optional) Convolution method to use
* @param[in] fast_math_hint (Optional) Fast math hint
*/
FusedConvolutionBatchNormalizationWithPostOpsNode(float epsilon, PadStrideInfo info,
unsigned int num_groups = 1,
ConvolutionMethod method = ConvolutionMethod::Default,
FastMathHint fast_math_hint = FastMathHint::Disabled);
/** Epsilon parameter accessor
*
* @return Epsilon parameter
*/
float epsilon() const;
/** Computes convolution output descriptor
*
* @param[in] input_descriptor Input descriptor
* @param[in] weights_descriptor Weights descriptor
* @param[in] info Convolution operation attributes
*
* @return Output descriptor
*/
static TensorDescriptor compute_output_descriptor(const TensorDescriptor &input_descriptor,
const TensorDescriptor &weights_descriptor,
const PadStrideInfo &info);
/** Sets the convolution layer method to use
*
* @param[in] method Method to use for convolution
*/
void set_convolution_method(ConvolutionMethod method);
/** Number of groups in convolution accessor
*
* @return Number of groups in convolution
*/
unsigned int num_groups() const;
/** Convolution layer method accessor
*
* @note This is an indication on which convolution layer implementation to use,
* if it fails to be created the library's heuristic approach will be used
*
* @return Convolution layer method to be used by the node
*/
ConvolutionMethod convolution_method() const;
/** Sets the fast math hint
*
* @param[in] hint Hint to use for convolution
*/
void set_fast_math_hint(FastMathHint hint);
/** Fast math hint accessor
*
* @return Fast math hint to be used by the node
*/
FastMathHint fast_math_hint() const;
/** Convolution metadata accessor
*
* @return Convolution information
*/
PadStrideInfo convolution_info() const;
// Inherited overridden methods:
NodeType type() const override;
bool forward_descriptors() override;
TensorDescriptor configure_output(size_t idx) const override;
void accept(INodeVisitor &v) override;
public:
static constexpr NodeType node_type = NodeType::FusedConvolutionBatchNormalizationLayerWithPostOpsLayer;
private:
float _epsilon;
PadStrideInfo _info;
unsigned int _num_groups;
ConvolutionMethod _method;
FastMathHint _fast_math_hint;
};
} // namespace graph
} // namespace arm_compute
#endif /* ARM_COMPUTE_GRAPH_BATCH_NORMALIZATION_LAYER_NODE_H */
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