TF Bert inference - support np.ndarray optional arguments (#15074)

* TF Bert inference - support np.ndarray optional arguments

* apply np input tests to all TF architectures
This commit is contained in:
Joao Gante
2022-01-14 15:19:04 +00:00
committed by GitHub
parent 4663c609b9
commit 7d9a33fb5c
2 changed files with 8 additions and 3 deletions

View File

@@ -846,7 +846,9 @@ class TFModelTesterMixin:
inputs = self._prepare_for_class(inputs_dict, model_class)
inputs_np = prepare_numpy_arrays(inputs)
model(inputs_np)
output_for_dict_input = model(inputs_np)
output_for_kw_input = model(**inputs_np)
self.assert_outputs_same(output_for_dict_input, output_for_kw_input)
def test_resize_token_embeddings(self):
if not self.test_resize_embeddings: