Merge trainers (#10975)
* Replace is_sagemaker_distributed_available * Merge SageMakerTrainer into Trainer * Test with shorter condition * Put back deleted line * Deprecate SageMakerTrainer and SageMakerTrainingArguments * Apply suggestions from code review Co-authored-by: Philipp Schmid <32632186+philschmid@users.noreply.github.com> Co-authored-by: Philipp Schmid <32632186+philschmid@users.noreply.github.com>
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@@ -9,10 +9,10 @@ from datasets import load_dataset
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from tqdm import tqdm
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from transformers import AutoTokenizer, TFAutoModelForSequenceClassification
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from transformers.file_utils import is_sagemaker_distributed_available
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from transformers.file_utils import is_sagemaker_dp_enabled
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if os.environ.get("SDP_ENABLED") or is_sagemaker_distributed_available():
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if os.environ.get("SDP_ENABLED") or is_sagemaker_dp_enabled():
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SDP_ENABLED = True
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os.environ["SAGEMAKER_INSTANCE_TYPE"] = "p3dn.24xlarge"
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import smdistributed.dataparallel.tensorflow as sdp
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