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