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Temporarily increase tol for PT-FLAX whisper tests (#23288)

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amyeroberts
2023-05-11 11:43:18 +01:00
committed by GitHub
parent b3bbe1bdb6
commit e1eb3efd02
2 changed files with 8 additions and 0 deletions
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4
tests/models/whisper/test_modeling_flax_whisper.py
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@@ -248,6 +248,10 @@ class FlaxWhisperModelTest(FlaxModelTesterMixin, unittest.TestCase):
for jitted_output, output in zip(jitted_outputs, outputs): for jitted_output, output in zip(jitted_outputs, outputs):
self.assertEqual(jitted_output.shape, output.shape) self.assertEqual(jitted_output.shape, output.shape)
def check_pt_flax_outputs(self, fx_outputs, pt_outputs, model_class, tol=5e-5, name="outputs", attributes=None):
# We override with a slightly higher tol value, as test recently became flaky
super().check_pt_flax_outputs(fx_outputs, pt_outputs, model_class, tol, name, attributes)
# overwrite because of `input_features` # overwrite because of `input_features`
@is_pt_flax_cross_test @is_pt_flax_cross_test
def test_save_load_bf16_to_base_pt(self): def test_save_load_bf16_to_base_pt(self):

4
tests/models/whisper/test_modeling_whisper.py
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@@ -828,6 +828,10 @@ class WhisperModelTest(ModelTesterMixin, GenerationTesterMixin, PipelineTesterMi
# We override with a slightly higher tol value, as test recently became flaky # We override with a slightly higher tol value, as test recently became flaky
super().check_pt_tf_outputs(tf_outputs, pt_outputs, model_class, tol, name, attributes) super().check_pt_tf_outputs(tf_outputs, pt_outputs, model_class, tol, name, attributes)
def check_pt_flax_outputs(self, fx_outputs, pt_outputs, model_class, tol=5e-5, name="outputs", attributes=None):
# We override with a slightly higher tol value, as test recently became flaky
super().check_pt_flax_outputs(fx_outputs, pt_outputs, model_class, tol, name, attributes)
@is_pt_flax_cross_test @is_pt_flax_cross_test
def test_equivalence_pt_to_flax(self): def test_equivalence_pt_to_flax(self):
config, inputs_dict = self.model_tester.prepare_config_and_inputs_for_common() config, inputs_dict = self.model_tester.prepare_config_and_inputs_for_common()