chore: import upstream snapshot with attribution
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# 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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import paddle
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AADIFF_ERROR = "PaddleRecall error(101): AAdiff"
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LOSS_NAN_ERROR = "PaddleRecall error(102): LossNan"
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SHARDING_PAD_NON_ZERO_ERROR = "PaddleRecall error(103): ShardingPadNonZero"
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LOSS_INF_ERROR = "PaddleRecall error(104): LossInf"
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def check_naninf(tensor):
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if paddle.isfinite(tensor).all().item():
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return None
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elif paddle.isnan(tensor).any().item():
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return LOSS_NAN_ERROR
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else:
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return LOSS_INF_ERROR
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