wehub-resource-sync
63 lines
2.8 KiB
C++
63 lines
2.8 KiB
C++
/* Copyright (c) 2022 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 "paddle/phi/common/int_array.h"
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#include "paddle/phi/core/infermeta_utils.h"
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#include "paddle/phi/core/meta_tensor.h"
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#include "paddle/phi/core/tensor_meta.h"
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namespace phi {
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namespace sparse {
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PADDLE_API void Conv3dInferMeta(const MetaTensor& x,
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const MetaTensor& kernel,
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const std::vector<int>& paddings,
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const std::vector<int>& dilations,
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const std::vector<int>& strides,
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const int groups,
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const bool subm,
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const std::string& key,
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MetaTensor* out,
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MetaTensor* rulebook,
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MetaTensor* counter);
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PADDLE_API void Conv3dImplicitGemmInferMeta(const MetaTensor& x,
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const MetaTensor& kernel,
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const std::vector<int>& paddings,
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const std::vector<int>& dilations,
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const std::vector<int>& strides,
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const int groups,
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const bool subm,
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const std::string& key,
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MetaTensor* out);
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PADDLE_API void Pool3dInferMeta(const MetaTensor& x,
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const std::vector<int>& kernel_sizes,
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const std::vector<int>& paddings,
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const std::vector<int>& dilations,
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const std::vector<int>& strides,
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MetaTensor* out,
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MetaTensor* rulebook,
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MetaTensor* counter);
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PADDLE_API void SparseCooTensorInferMeta(const MetaTensor& values,
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const MetaTensor& indices,
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const std::vector<int64_t>& shape,
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MetaTensor* out);
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} // namespace sparse
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} // namespace phi
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