Fix TypeError: Object of type int64 is not JSON serializable (#24340)

* Fix TypeError: Object of type int64 is not JSON serializable

* Convert numpy.float64 and numpy.int64 to float and int for json serialization

* Black reformatted examples/pytorch/token-classification/run_ner_no_trainer.py

* * make style
This commit is contained in:
Xiaoli Wang
2023-06-27 19:15:49 +08:00
committed by GitHub
parent ac19871ce2
commit 239ace152b
44 changed files with 74 additions and 71 deletions

View File

@@ -647,7 +647,7 @@ class GenerationIntegrationTestsMixin:
generated_tokens = model.generate(**tokens, eos_token_id=eos_token_id, **generation_kwargs)
unpadded_correct_condition = expectation == len(generated_tokens[0])
padded_correct_condition = expectation < len(generated_tokens[0]) and all(
[token == model.config.pad_token_id for token in generated_tokens[0][expectation:]]
token == model.config.pad_token_id for token in generated_tokens[0][expectation:]
)
self.assertTrue(unpadded_correct_condition or padded_correct_condition)
@@ -655,7 +655,7 @@ class GenerationIntegrationTestsMixin:
generated_tokens = model.generate(**tokens, eos_token_id=eos_token_id, **generation_kwargs)
unpadded_correct_condition = expectation == len(generated_tokens[0])
padded_correct_condition = expectation < len(generated_tokens[0]) and all(
[token == model.config.pad_token_id for token in generated_tokens[0][expectation:]]
token == model.config.pad_token_id for token in generated_tokens[0][expectation:]
)
self.assertTrue(unpadded_correct_condition or padded_correct_condition)