wehub-resource-sync
54 lines
2.2 KiB
C++
54 lines
2.2 KiB
C++
// Copyright (c) 2024 PaddlePaddle Authors. All Rights Reserved.
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//
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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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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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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/logsumexp.h"
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#include "glog/logging.h"
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namespace phi {
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namespace distributed {
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SpmdInfo LogSumExpInferSpmd(const DistMetaTensor& x,
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const std::vector<int>& axis,
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bool keepdims,
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bool reduce_all) {
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VLOG(4) << "LogSumExpInferSpmd Call ReductionInferSpmd";
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std::vector<int64_t> new_axis(axis.begin(), axis.end());
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return ReductionInferSpmd(x, new_axis, keepdims);
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}
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SpmdInfo LogSumExpInferSpmdReverse(const DistMetaTensor& x,
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const DistMetaTensor& out,
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const std::vector<int>& axis,
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bool keepdims,
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bool reduce_all) {
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VLOG(4) << "LogSumExpInferSpmdReverse Call ReductionInferSpmdReverse";
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std::vector<int64_t> new_axis(axis.begin(), axis.end());
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return ReductionInferSpmdReverse(x, out, new_axis, keepdims);
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}
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SpmdInfo LogSumExpGradInferSpmd(const DistMetaTensor& x,
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const DistMetaTensor& out,
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const DistMetaTensor& out_grad,
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const std::vector<int>& axis,
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bool keepdims,
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bool reduce_all) {
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VLOG(4) << "LogSumExpGradInferSpmd Call ReductionGradInferSpmd";
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std::vector<int64_t> new_axis(axis.begin(), axis.end());
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return ReductionGradInferSpmd(
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x, out, out_grad, new_axis, keepdims, reduce_all);
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}
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} // namespace distributed
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} // namespace phi
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