optimum/neuron/hf_argparser.py (42 lines of code) (raw):

# coding=utf-8 # Copyright 2023 The HuggingFace Inc. team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """Customizes the HfArgumentParser to add checks for AWS Neuron instances.""" from transformers import HfArgumentParser from .utils.argument_utils import validate_arg class NeuronHfArgumentParser(HfArgumentParser): def validate_args(self, args): validate_arg( args, "pad_to_max_length", ( "pad_to_max_length=False can lead to very poor performance because it can trigger a lot of recompilation " "due to variable sequence length." ), expected_value=True, ) validate_arg( args, "max_seq_length", ( "max_seq_length=None can lead to very poor performance because it can trigger a lot of recompilation " "due to variable sequence length." ), validation_function=lambda x: x is not None, ) def parse_args_into_dataclasses(self, *args, **kwargs): outputs = super().parse_args_into_dataclasses(*args, **kwargs) for args in outputs: self.validate_args(args) return outputs def parse_dict(self, *args, **kwargs): outputs = super().parse_dict(*args, **kwargs) for args in outputs: self.validate_args(args) return outputs def parse_json_file(self, *args, **kwargs): outputs = super().parse_json_file(*args, **kwargs) for args in outputs: self.validate_args(args) return outputs def parse_yaml_file(self, *args, **kwargs): outputs = super().parse_yaml_file(*args, **kwargs) for args in outputs: self.validate_args(args) return outputs