TIM-VX/include/tim/vx/ops/reduce.h

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4.6 KiB
C++

/****************************************************************************
*
* Copyright (c) 2020-2023 Vivante Corporation
*
* 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,
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*****************************************************************************/
#ifndef TIM_VX_OPS_REDUCE_H_
#define TIM_VX_OPS_REDUCE_H_
#include "tim/vx/builtin_op.h"
namespace tim {
namespace vx {
namespace ops {
/**
* ## ReduceMin
*
* Reduces a tensor by computing the minimum of elements along given dimensions.
*
* - axis : the dimensions to reduce.
* - keep_dims : If keep_dims is true, the reduced dimensions are retained with
* length 1. Otherwise, the rank of the tensor is reduced by 1 for each entry
* in dimensions
*
* ## ReduceMax
*
* Reduces a tensor by computing the maximum of elements along given dimensions.
*
* - axis : the dimensions to reduce.
* - keep_dims : If keep_dims is true, the reduced dimensions are retained with
* length 1. Otherwise, the rank of the tensor is reduced by 1 for each entry
* in dimensions
*
* ## ReduceAny
*
* Reduces a tensor by computing the "logical or" of elements along given dimensions.
*
* - axis : the dimensions to reduce.
* - keep_dims : If keep_dims is true, the reduced dimensions are retained with
* length 1. Otherwise, the rank of the tensor is reduced by 1 for each entry
* in dimensions
*
* ## ReduceAll
*
* Reduces a tensor by computing the "logical and" of elements along given dimensions.
*
* - axis : the dimensions to reduce.
* - keep_dims : If keep_dims is true, the reduced dimensions are retained with
* length 1. Otherwise, the rank of the tensor is reduced by 1 for each entry
* in dimensions
*
* ## ReduceProd
*
* Reduces a tensor by computing the multiplying of elements along given dimensions.
*
* - axis : the dimensions to reduce.
* - keep_dims : If keep_dims is true, the reduced dimensions are retained with
* length 1. Otherwise, the rank of the tensor is reduced by 1 for each entry
* in dimensions
*
* ## ReduceMean
*
* Reduces a tensor by computing the mean of elements along given dimensions.
*
* - axis : the dimensions to reduce.
* - keep_dims : If keep_dims is true, the reduced dimensions are retained with
* length 1. Otherwise, the rank of the tensor is reduced by 1 for each entry
* in dimensions
*
* ## ReduceSum
*
* Reduces a tensor by computing the summing of elements along given dimensions.
*
* - axis : the dimensions to reduce.
* - keep_dims : If keep_dims is true, the reduced dimensions are retained with
* length 1. Otherwise, the rank of the tensor is reduced by 1 for each entry
* in dimensions
*/
#define DECLARE_REDUCE_OP(NAME) \
class Reduce##NAME : public BuiltinOp { \
public: \
Reduce##NAME(Graph* graph, const std::vector<int32_t>& axis, \
bool keep_dims); \
std::shared_ptr<Operation> \
Clone(std::shared_ptr<Graph>& graph) const override; \
\
protected: \
std::vector<int32_t> axis_; \
bool keep_dims_; \
};
DECLARE_REDUCE_OP(Min);
DECLARE_REDUCE_OP(Max);
DECLARE_REDUCE_OP(Any);
DECLARE_REDUCE_OP(All);
DECLARE_REDUCE_OP(Prod);
DECLARE_REDUCE_OP(Mean);
DECLARE_REDUCE_OP(Sum);
#undef DECLARE_REDUCE_OP
} // namespace ops
} // namespace vx
} // namespace tim
#endif /* TIM_VX_OPS_ACTIVATIONS_H_ */