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

@@ -464,7 +464,7 @@ class FlaxWav2Vec2UtilsTest(unittest.TestCase):
negative_indices = _sample_negative_indices(features.shape, num_negatives, attention_mask=attention_mask)
# make sure that no padding tokens are sampled
self.assertTrue(all([idx not in negative_indices for idx in forbidden_indices]))
self.assertTrue(all(idx not in negative_indices for idx in forbidden_indices))
features = features.reshape(-1, hidden_size) # BTC => (BxT)C
# take negative vectors from sampled indices

View File

@@ -637,7 +637,7 @@ class Wav2Vec2ModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase
"objective.weight",
]
if param.requires_grad:
if any([x in name for x in uniform_init_parms]):
if any(x in name for x in uniform_init_parms):
self.assertTrue(
-1.0 <= ((param.data.mean() * 1e9).round() / 1e9).item() <= 1.0,
msg=f"Parameter {name} of model {model_class} seems not properly initialized",
@@ -971,7 +971,7 @@ class Wav2Vec2RobustModelTest(ModelTesterMixin, unittest.TestCase):
"objective.weight",
]
if param.requires_grad:
if any([x in name for x in uniform_init_parms]):
if any(x in name for x in uniform_init_parms):
self.assertTrue(
-1.0 <= ((param.data.mean() * 1e9).round() / 1e9).item() <= 1.0,
msg=f"Parameter {name} of model {model_class} seems not properly initialized",