Remove deprecated logic and warnings (#30743)
* Remove deprecated logic and warnings * Add back some code that seems to be important... * Let's just add all he nllb stuff back; removing it is a bit more involved * Remove kwargs * Remove more kwargs
This commit is contained in:
@@ -251,12 +251,6 @@ class DataTrainingArguments:
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)
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},
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)
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use_auth_token: bool = field(
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default=None,
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metadata={
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"help": "The `use_auth_token` argument is deprecated and will be removed in v4.34. Please use `token` instead."
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},
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)
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trust_remote_code: bool = field(
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default=False,
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metadata={
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@@ -411,15 +405,6 @@ def main():
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else:
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model_args, data_args, training_args = parser.parse_args_into_dataclasses()
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if data_args.use_auth_token is not None:
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warnings.warn(
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"The `use_auth_token` argument is deprecated and will be removed in v4.34. Please use `token` instead.",
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FutureWarning,
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)
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if data_args.token is not None:
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raise ValueError("`token` and `use_auth_token` are both specified. Please set only the argument `token`.")
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data_args.token = data_args.use_auth_token
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# Sending telemetry. Tracking the example usage helps us better allocate resources to maintain them. The
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# information sent is the one passed as arguments along with your Python/PyTorch versions.
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send_example_telemetry("run_speech_recognition_ctc", model_args, data_args)
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@@ -241,12 +241,6 @@ class DataTrainingArguments:
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)
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},
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)
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use_auth_token: bool = field(
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default=None,
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metadata={
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"help": "The `use_auth_token` argument is deprecated and will be removed in v4.34. Please use `token` instead."
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},
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)
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trust_remote_code: bool = field(
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default=False,
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metadata={
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@@ -391,15 +385,6 @@ def main():
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else:
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model_args, data_args, training_args = parser.parse_args_into_dataclasses()
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if data_args.use_auth_token is not None:
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warnings.warn(
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"The `use_auth_token` argument is deprecated and will be removed in v4.34. Please use `token` instead.",
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FutureWarning,
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)
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if data_args.token is not None:
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raise ValueError("`token` and `use_auth_token` are both specified. Please set only the argument `token`.")
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data_args.token = data_args.use_auth_token
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# Sending telemetry. Tracking the example usage helps us better allocate resources to maintain them. The
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# information sent is the one passed as arguments along with your Python/PyTorch versions.
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send_example_telemetry("run_speech_recognition_ctc_adapter", model_args, data_args)
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@@ -22,7 +22,6 @@ Fine-tuning the library models for sequence to sequence speech recognition.
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import logging
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import os
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import sys
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import warnings
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from dataclasses import dataclass, field
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from typing import Any, Dict, List, Optional, Union
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@@ -95,12 +94,6 @@ class ModelArguments:
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)
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},
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)
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use_auth_token: bool = field(
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default=None,
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metadata={
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"help": "The `use_auth_token` argument is deprecated and will be removed in v4.34. Please use `token` instead."
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},
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)
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trust_remote_code: bool = field(
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default=False,
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metadata={
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@@ -295,15 +288,6 @@ def main():
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else:
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model_args, data_args, training_args = parser.parse_args_into_dataclasses()
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if model_args.use_auth_token is not None:
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warnings.warn(
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"The `use_auth_token` argument is deprecated and will be removed in v4.34. Please use `token` instead.",
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FutureWarning,
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)
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if model_args.token is not None:
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raise ValueError("`token` and `use_auth_token` are both specified. Please set only the argument `token`.")
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model_args.token = model_args.use_auth_token
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# Sending telemetry. Tracking the example usage helps us better allocate resources to maintain them. The
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# information sent is the one passed as arguments along with your Python/PyTorch versions.
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send_example_telemetry("run_speech_recognition_seq2seq", model_args, data_args)
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