wehub-resource-sync
60 lines
2.4 KiB
C++
60 lines
2.4 KiB
C++
/* Copyright (c) 2024 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/dropout.h"
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#include <vector>
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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/elementwise.h"
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#include "paddle/phi/infermeta/spmd_rules/spmd_rule_macro_define.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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// args : (Tensor x, Tensor seed_tensor, Scalar p, bool is_test, str mode, int
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// seed, bool fix_seed) output : Tensor(out), Tensor(mask)
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SpmdInfo DropoutFwdInferSpmd(const DistMetaTensor& x,
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const DistMetaTensor& seed_tensor,
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Scalar p,
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bool is_test,
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const std::string& mode,
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int seed,
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bool fix_seed) {
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std::vector<int64_t> seed_tensor_shape = vectorize(seed_tensor.dims());
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// seed_tensor is None currently
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PADDLE_ENFORCE_EQ(
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IsEmpty(seed_tensor_shape),
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true,
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common::errors::InvalidArgument("seed_tensor should be None"));
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SpmdInfo info = ElementwiseUnaryInferSpmd(x);
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info.first.push_back(seed_tensor.dist_attr());
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info.second.push_back(info.second[0]);
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return info;
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}
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// args : (Tensor mask, Tensor out_grad, Scalar p, bool is_test, str mode)
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// output : Tensor(x_grad)
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SpmdInfo DropoutBwdInferSpmd(const DistMetaTensor& mask,
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const DistMetaTensor& out_grad,
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Scalar p,
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bool is_test,
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const std::string& mode) {
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return ElementwiseBinaryInferSpmd(mask, out_grad);
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}
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} // namespace distributed
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} // namespace phi
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