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a48f235636
Summary: Pull Request resolved: https://github.com/fairinternal/fairseq-py/pull/1357 Reviewed By: alexeib Differential Revision: D24377772 fbshipit-source-id: 51581af041d42d62166b33a35a1a4228b1a76f0c
38 lines
1.4 KiB
Python
38 lines
1.4 KiB
Python
#!/usr/bin/env python3
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# Copyright (c) Facebook, Inc. and its affiliates.
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#
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# This source code is licensed under the MIT license found in the
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# LICENSE file in the root directory of this source tree.
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from examples.speech_recognition.criterions.cross_entropy_acc import (
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CrossEntropyWithAccCriterion,
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)
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from .asr_test_base import CrossEntropyCriterionTestBase
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class CrossEntropyWithAccCriterionTest(CrossEntropyCriterionTestBase):
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def setUp(self):
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self.criterion_cls = CrossEntropyWithAccCriterion
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super().setUp()
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def test_cross_entropy_all_correct(self):
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sample = self.get_test_sample(correct=True, soft_target=False, aggregate=False)
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loss, sample_size, logging_output = self.criterion(
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self.model, sample, "sum", log_probs=True
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)
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assert logging_output["correct"] == 20
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assert logging_output["total"] == 20
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assert logging_output["sample_size"] == 20
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assert logging_output["ntokens"] == 20
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def test_cross_entropy_all_wrong(self):
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sample = self.get_test_sample(correct=False, soft_target=False, aggregate=False)
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loss, sample_size, logging_output = self.criterion(
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self.model, sample, "sum", log_probs=True
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)
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assert logging_output["correct"] == 0
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assert logging_output["total"] == 20
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assert logging_output["sample_size"] == 20
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assert logging_output["ntokens"] == 20
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