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paddlepaddle--paddle/paddle/phi/infermeta/spmd_rules/conv3d.h
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2026-07-13 12:40:42 +08:00

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/* Copyright (c) 2025 PaddlePaddle Authors. All Rights Reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License. */
#pragma once
#include <string>
#include <vector>
#include "paddle/phi/core/distributed/auto_parallel/dist_meta_tensor.h"
#include "paddle/phi/core/distributed/type_defs.h"
namespace phi {
namespace distributed {
SpmdInfo Conv3dInferSpmdBase(const DistMetaTensor& input,
const DistMetaTensor& filter,
const std::string& data_format);
SpmdInfo Conv3dGradInferSpmdBase(const DistMetaTensor& input,
const DistMetaTensor& filter,
const DistMetaTensor& output_grad,
const std::string& data_format);
SpmdInfo Conv3dInferSpmd(const DistMetaTensor& input,
const DistMetaTensor& filter,
const std::vector<int>& strides = {1, 1, 1},
const std::vector<int>& paddings = {0, 0, 0},
const std::string& padding_algorithm = "EXPLICIT",
int groups = 1,
const std::vector<int>& dilations = {1, 1, 1},
const std::string& data_format = "NCDHW");
SpmdInfo Conv3dGradInferSpmd(const DistMetaTensor& input,
const DistMetaTensor& filter,
const DistMetaTensor& output_grad,
const std::vector<int>& strides = {1, 1, 1},
const std::vector<int>& paddings = {0, 0, 0},
const std::string& padding_algorithm = "EXPLICIT",
int groups = 1,
const std::vector<int>& dilations = {1, 1, 1},
const std::string& data_format = "NCDHW");
} // namespace distributed
} // namespace phi