wehub-resource-sync
43 lines
1.6 KiB
C++
43 lines
1.6 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/squared_l2_norm.h"
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#include "paddle/phi/infermeta/spmd_rules/reduction.h"
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#include "glog/logging.h"
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#include "paddle/phi/core/distributed/auto_parallel/dist_attr.h"
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#include "paddle/phi/core/distributed/auto_parallel/inferspmd_utils.h"
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#include "paddle/phi/core/distributed/auto_parallel/utils.h"
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#include "paddle/phi/infermeta/spmd_rules/utils.h"
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namespace phi {
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namespace distributed {
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SpmdInfo SquaredL2NormInferSpmd(const DistMetaTensor& x) {
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VLOG(4) << "SquaredL2NormInferSpmd:";
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VLOG(4) << "Using ReductionInferSpmd Rule as internal implement.";
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SpmdInfo info = ReductionInferSpmdBase(
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x, {}, false, static_cast<int>(ReduceType::kRedSum));
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// NOTE: reduce output is 0D tensor which has a dims_mapping as {}, while
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// output of squared_l2_norm is a tensor with shape [1] therefore it need to
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// have a dims_mapping as {-1}.
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auto& out_dist_dst = PADDLE_GET(TensorDistAttr, info.second[0]);
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out_dist_dst.set_dims_mapping(std::vector<int64_t>{-1});
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return info;
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}
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} // namespace distributed
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} // namespace phi
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