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
This commit is contained in:
Stas Bekman
2020-08-03 23:42:56 -07:00
committed by GitHub
parent b390a5672a
commit 5deed37f9f
18 changed files with 157 additions and 339 deletions

View File

@@ -142,9 +142,6 @@ class GPT2ModelTester:
choice_labels,
)
def check_loss_output(self, result):
self.parent.assertListEqual(list(result["loss"].size()), [])
def create_and_check_gpt2_model(self, config, input_ids, input_mask, head_mask, token_type_ids, *args):
model = GPT2Model(config=config)
model.to(torch_device)
@@ -154,9 +151,7 @@ class GPT2ModelTester:
result = model(input_ids, token_type_ids=token_type_ids)
result = model(input_ids)
self.parent.assertListEqual(
list(result["last_hidden_state"].size()), [self.batch_size, self.seq_length, self.hidden_size],
)
self.parent.assertEqual(result.last_hidden_state.shape, (self.batch_size, self.seq_length, self.hidden_size))
self.parent.assertEqual(len(result["past_key_values"]), config.n_layer)
def create_and_check_gpt2_model_past(self, config, input_ids, input_mask, head_mask, token_type_ids, *args):
@@ -240,10 +235,8 @@ class GPT2ModelTester:
model.eval()
result = model(input_ids, token_type_ids=token_type_ids, labels=input_ids)
self.parent.assertListEqual(list(result["loss"].size()), [])
self.parent.assertListEqual(
list(result["logits"].size()), [self.batch_size, self.seq_length, self.vocab_size],
)
self.parent.assertEqual(result.loss.shape, ())
self.parent.assertEqual(result.logits.shape, (self.batch_size, self.seq_length, self.vocab_size))
def create_and_check_double_lm_head_model(
self, config, input_ids, input_mask, head_mask, token_type_ids, mc_token_ids, *args
@@ -265,11 +258,11 @@ class GPT2ModelTester:
}
result = model(**inputs)
self.parent.assertListEqual(list(result["lm_loss"].size()), [])
self.parent.assertListEqual(
list(result["lm_logits"].size()), [self.batch_size, self.num_choices, self.seq_length, self.vocab_size],
self.parent.assertEqual(result.lm_loss.shape, ())
self.parent.assertEqual(
result.lm_logits.shape, (self.batch_size, self.num_choices, self.seq_length, self.vocab_size)
)
self.parent.assertListEqual(list(result["mc_logits"].size()), [self.batch_size, self.num_choices])
self.parent.assertEqual(result.mc_logits.shape, (self.batch_size, self.num_choices))
def prepare_config_and_inputs_for_common(self):
config_and_inputs = self.prepare_config_and_inputs()