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47 lines
1.7 KiB
Python
47 lines
1.7 KiB
Python
# Copyright 2020-2025 The HuggingFace Team. All rights reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import unittest
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import torch
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from trl.core import masked_mean, masked_var, masked_whiten
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class CoreTester(unittest.TestCase):
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"""
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A wrapper class for testing core utils functions
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"""
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def setUp(self):
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self.test_input = torch.Tensor([1, 2, 3, 4])
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self.test_mask = torch.Tensor([0, 1, 1, 0])
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self.test_input_unmasked = self.test_input[1:3]
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def test_masked_mean(self):
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self.assertEqual(torch.mean(self.test_input_unmasked), masked_mean(self.test_input, self.test_mask))
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def test_masked_var(self):
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self.assertEqual(torch.var(self.test_input_unmasked), masked_var(self.test_input, self.test_mask))
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def test_masked_whiten(self):
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def whiten(values: torch.Tensor) -> torch.Tensor:
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mean, var = torch.mean(values), torch.var(values)
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return (values - mean) * torch.rsqrt(var + 1e-8)
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whiten_unmasked = whiten(self.test_input_unmasked)
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whiten_masked = masked_whiten(self.test_input, self.test_mask)[1:3]
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diffs = (whiten_unmasked - whiten_masked).sum()
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self.assertLess(abs(diffs.item()), 0.00001)
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