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FillMaskPipeline: support passing top_k on __call__ (#7971)

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* FillMaskPipeline: support passing top_k on __call__

Also move from topk to top_k

* migrate to new param name in tests

* Review from @sgugger
This commit is contained in:
Julien Chaumond
2020-10-22 18:54:25 +02:00
committed by GitHub
parent 2e5052d4f1
commit ff65beafa3
2 changed files with 20 additions and 10 deletions
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8
tests/test_pipelines.py
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@@ -226,7 +226,7 @@ class MonoColumnInputTestCase(unittest.TestCase):
model=model_name,
tokenizer=model_name,
framework="pt",
topk=2,
top_k=2,
)
self._test_mono_column_pipeline(
nlp, valid_inputs, mandatory_keys, invalid_inputs, expected_check_keys=["sequence"]
@@ -249,7 +249,7 @@ class MonoColumnInputTestCase(unittest.TestCase):
model=model_name,
tokenizer=model_name,
framework="tf",
topk=2,
top_k=2,
)
self._test_mono_column_pipeline(
nlp, valid_inputs, mandatory_keys, invalid_inputs, expected_check_keys=["sequence"]
@@ -298,7 +298,7 @@ class MonoColumnInputTestCase(unittest.TestCase):
model=model_name,
tokenizer=model_name,
framework="pt",
topk=2,
top_k=2,
)
self._test_mono_column_pipeline(
nlp,
@@ -326,7 +326,7 @@ class MonoColumnInputTestCase(unittest.TestCase):
]
valid_targets = [" Patrick", " Clara"]
for model_name in LARGE_FILL_MASK_FINETUNED_MODELS:
nlp = pipeline(task="fill-mask", model=model_name, tokenizer=model_name, framework="tf", topk=2)
nlp = pipeline(task="fill-mask", model=model_name, tokenizer=model_name, framework="tf", top_k=2)
self._test_mono_column_pipeline(
nlp,
valid_inputs,