52 lines
1.9 KiB
C++
52 lines
1.9 KiB
C++
/* Copyright (c) 2023 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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#include "paddle/phi/infermeta/spmd_rules/numel.h"
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#include "glog/logging.h"
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#include "paddle/phi/core/enforce.h"
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#include "paddle/phi/infermeta/spmd_rules/utils.h"
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namespace phi::distributed {
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SpmdInfo NumelInferSpmd(const DistMetaTensor& x) {
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std::string alphabet = "abcdefghijklmnopqrstuvwxyz";
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auto x_shape = vectorize(x.dims());
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int x_ndim = x_shape.size();
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auto x_dist_attr_src = x.dist_attr();
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std::vector<int64_t> x_dims_mapping = x_dist_attr_src.dims_mapping();
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PADDLE_ENFORCE_EQ(x_ndim,
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x_dims_mapping.size(),
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common::errors::InvalidArgument(
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"The Tensor Input's rank [%d] and Input's "
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"dims_mapping size [%d] are not matched.",
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x_ndim,
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x_dims_mapping.size()));
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TensorDistAttr out_dist_attr = CopyTensorDistAttrForOutput(x_dist_attr_src);
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out_dist_attr.set_dims_mapping(std::vector<int64_t>{});
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std::vector<int64_t> partial_on_dims;
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const auto& dim_mapping = x_dims_mapping;
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for (int i = 0; i < x_ndim; ++i) {
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auto mapping = dim_mapping[i];
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if (mapping != -1) {
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partial_on_dims.push_back(mapping);
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}
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}
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out_dist_attr.set_partial_status(partial_on_dims);
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return SpmdInfo({x_dist_attr_src}, {out_dist_attr});
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}
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} // namespace phi::distributed
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