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Add test for target equivalence #2

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Merged
Narsil merged 1 commit into from
Jul 7, 2021
Merged

Add test for target equivalence #2

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28 changes: 28 additions & 0 deletions tests/test_pipelines_fill_mask.py
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Original file line number Diff line number Diff line change
Expand Up @@ -90,6 +90,20 @@ def test_torch_fill_mask_with_targets(self):
for targets in invalid_targets:
self.assertRaises(ValueError, unmasker, valid_inputs, targets=targets)

@require_torch
@slow
def test_torch_fill_mask_targets_equivalence(self):
model_name = self.large_models[0]
unmasker = pipeline(task="fill-mask", model=model_name, tokenizer=model_name, framework="pt")
unmasked = unmasker(self.valid_inputs[0])
tokens = [top_mask["token_str"] for top_mask in unmasked]
scores = [top_mask["score"] for top_mask in unmasked]

unmasked_targets = unmasker(self.valid_inputs[0], targets=tokens)
target_scores = [top_mask["score"] for top_mask in unmasked_targets]

self.assertEqual(scores, target_scores)

@require_torch
def test_torch_fill_mask_with_targets_and_topk(self):
model_name = self.small_models[0]
Expand Down Expand Up @@ -287,3 +301,17 @@ def test_tf_fill_mask_results(self):
self.assertIn(key, result)

self.assertRaises(Exception, unmasker, [None])

@require_tf
@slow
def test_tf_fill_mask_targets_equivalence(self):
model_name = self.large_models[0]
unmasker = pipeline(task="fill-mask", model=model_name, tokenizer=model_name, framework="tf")
unmasked = unmasker(self.valid_inputs[0])
tokens = [top_mask["token_str"] for top_mask in unmasked]
scores = [top_mask["score"] for top_mask in unmasked]

unmasked_targets = unmasker(self.valid_inputs[0], targets=tokens)
target_scores = [top_mask["score"] for top_mask in unmasked_targets]

self.assertEqual(scores, target_scores)