Merge pull request #1327 from huggingface/tf2-determinism
Pytorch/TF2 determinism
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e8e956dbb2
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@ -68,6 +68,16 @@ class CommonTestCases:
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self.assertIn(param.data.mean().item(), [0.0, 1.0],
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msg="Parameter {} of model {} seems not properly initialized".format(name, model_class))
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def test_determinism(self):
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config, inputs_dict = self.model_tester.prepare_config_and_inputs_for_common()
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for model_class in self.all_model_classes:
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model = model_class(config)
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model.eval()
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first, second = model(inputs_dict["input_ids"])[0], model(inputs_dict["input_ids"])[0]
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self.assertEqual(first.ne(second).sum().item(), 0)
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def test_attention_outputs(self):
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config, inputs_dict = self.model_tester.prepare_config_and_inputs_for_common()
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@ -298,6 +298,14 @@ class TFCommonTestCases:
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# self.assertGreater(len(params_not_tied), len(params_tied))
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# self.assertEqual(len(params_tied_2), len(params_tied))
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def test_determinism(self):
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config, inputs_dict = self.model_tester.prepare_config_and_inputs_for_common()
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for model_class in self.all_model_classes:
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model = model_class(config)
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first, second = model(inputs_dict, training=False)[0], model(inputs_dict, training=False)[0]
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self.assertTrue(tf.math.equal(first, second).numpy().all())
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def ids_tensor(shape, vocab_size, rng=None, name=None, dtype=None):
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"""Creates a random int32 tensor of the shape within the vocab size."""
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