wehub-resource-sync
91 lines
2.6 KiB
C++
91 lines
2.6 KiB
C++
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License. */
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#pragma once
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#include <vector>
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#include "paddle/phi/backends/cpu/cpu_context.h"
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#include "paddle/phi/backends/gpu/gpu_context.h"
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#include "paddle/phi/backends/xpu/xpu_context.h"
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#include "paddle/phi/common/memory_utils.h"
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#include "paddle/phi/core/dense_tensor.h"
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#include "paddle/phi/core/device_context.h"
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#include "paddle/phi/core/utils/data_type.h"
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namespace phi {
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namespace funcs {
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/*
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* \brief Concatenate the input tensors along the dimension axis.
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* TODO(zcd): maybe it needs to be more detailed.
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* Examples:
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* Input[0] = [[1,2],[3,4]]
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* Input[1] = [[5,6]]
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* axis = 0
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*
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* Output = [[1,2],
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* [3,4],
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* [5,6]]
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*/
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template <typename Context, typename T>
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class ConcatFunctor {
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public:
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void operator()(const Context& context,
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const std::vector<DenseTensor>& input,
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int axis,
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DenseTensor* output);
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};
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/*
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* \brief Split the input tensors along the dimension axis into outputs.
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* TODO(zcd): maybe it needs to be more detailed.
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* Examples:
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* Input = [[1,2],
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* [3,4],
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* [5,6]]
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* axis = 0
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*
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* Output[0] = [[1,2],[3,4]]
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* Output[1] = [[5,6]]
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*/
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template <typename Context, typename T>
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class SplitFunctor {
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public:
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void operator()(const Context& context,
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const DenseTensor& input,
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const std::vector<const DenseTensor*>& ref_inputs,
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int axis,
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std::vector<DenseTensor*>* outputs);
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};
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} // namespace funcs
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} // namespace phi
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#define FOR_ALL_TYPES(macro) \
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macro(int); \
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macro(float); \
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macro(double); \
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macro(bool); \
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macro(int64_t); \
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macro(int16_t); \
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macro(uint8_t); \
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macro(int8_t); \
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macro(phi::float16); \
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macro(phi::bfloat16); \
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macro(phi::complex64); \
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macro(phi::complex128); \
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macro(phi::float8_e4m3fn); \
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macro(phi::float8_e5m2);
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