cleanup torch unittests (#6196)
* improve unit tests this is a sample of one test according to the request in https://github.com/huggingface/transformers/issues/5973 before I apply it to the rest * batch 1 * batch 2 * batch 3 * batch 4 * batch 5 * style * non-tf template * last deletion of check_loss_output
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@@ -142,9 +142,6 @@ class GPT2ModelTester:
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choice_labels,
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)
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def check_loss_output(self, result):
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self.parent.assertListEqual(list(result["loss"].size()), [])
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def create_and_check_gpt2_model(self, config, input_ids, input_mask, head_mask, token_type_ids, *args):
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model = GPT2Model(config=config)
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model.to(torch_device)
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@@ -154,9 +151,7 @@ class GPT2ModelTester:
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result = model(input_ids, token_type_ids=token_type_ids)
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result = model(input_ids)
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self.parent.assertListEqual(
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list(result["last_hidden_state"].size()), [self.batch_size, self.seq_length, self.hidden_size],
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)
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self.parent.assertEqual(result.last_hidden_state.shape, (self.batch_size, self.seq_length, self.hidden_size))
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self.parent.assertEqual(len(result["past_key_values"]), config.n_layer)
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def create_and_check_gpt2_model_past(self, config, input_ids, input_mask, head_mask, token_type_ids, *args):
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@@ -240,10 +235,8 @@ class GPT2ModelTester:
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model.eval()
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result = model(input_ids, token_type_ids=token_type_ids, labels=input_ids)
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self.parent.assertListEqual(list(result["loss"].size()), [])
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self.parent.assertListEqual(
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list(result["logits"].size()), [self.batch_size, self.seq_length, self.vocab_size],
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)
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self.parent.assertEqual(result.loss.shape, ())
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self.parent.assertEqual(result.logits.shape, (self.batch_size, self.seq_length, self.vocab_size))
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def create_and_check_double_lm_head_model(
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self, config, input_ids, input_mask, head_mask, token_type_ids, mc_token_ids, *args
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@@ -265,11 +258,11 @@ class GPT2ModelTester:
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}
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result = model(**inputs)
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self.parent.assertListEqual(list(result["lm_loss"].size()), [])
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self.parent.assertListEqual(
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list(result["lm_logits"].size()), [self.batch_size, self.num_choices, self.seq_length, self.vocab_size],
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self.parent.assertEqual(result.lm_loss.shape, ())
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self.parent.assertEqual(
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result.lm_logits.shape, (self.batch_size, self.num_choices, self.seq_length, self.vocab_size)
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)
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self.parent.assertListEqual(list(result["mc_logits"].size()), [self.batch_size, self.num_choices])
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self.parent.assertEqual(result.mc_logits.shape, (self.batch_size, self.num_choices))
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def prepare_config_and_inputs_for_common(self):
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config_and_inputs = self.prepare_config_and_inputs()
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