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fix for glue

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VictorSanh
2019-08-22 00:25:49 -04:00
parent b006a7a12f
commit 57272d5ddf
1 changed files with 2 additions and 2 deletions
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4
examples/run_glue.py
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@@ -251,7 +251,7 @@ def evaluate(args, model, tokenizer, prefix=""):
def load_and_cache_examples(args, task, tokenizer, evaluate=False): def load_and_cache_examples(args, task, tokenizer, evaluate=False):
if args.local_rank not in [-1, 0]: if args.local_rank not in [-1, 0] and not evaluate:
torch.distributed.barrier() # Make sure only the first process in distributed training process the dataset, and the others will use the cache torch.distributed.barrier() # Make sure only the first process in distributed training process the dataset, and the others will use the cache
processor = processors[task]() processor = processors[task]()
@@ -286,7 +286,7 @@ def load_and_cache_examples(args, task, tokenizer, evaluate=False):
logger.info("Saving features into cached file %s", cached_features_file) logger.info("Saving features into cached file %s", cached_features_file)
torch.save(features, cached_features_file) torch.save(features, cached_features_file)
if args.local_rank == 0: if args.local_rank == 0 and not evaluate:
torch.distributed.barrier() # Make sure only the first process in distributed training process the dataset, and the others will use the cache torch.distributed.barrier() # Make sure only the first process in distributed training process the dataset, and the others will use the cache
# Convert to Tensors and build dataset # Convert to Tensors and build dataset