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Tokenizers should be framework agnostic (#8599)

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* Tokenizers should be framework agnostic

* Run the slow tests

* Not testing

* Fix documentation

* Apply suggestions from code review

Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
This commit is contained in:
Lysandre Debut
2020-11-17 14:03:03 -05:00
committed by GitHub
parent 7f3b41a306
commit 3095ee9dab
28 changed files with 73 additions and 177 deletions
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12
tests/test_modeling_mbart.py
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@@ -92,7 +92,7 @@ class MBartEnroIntegrationTest(AbstractSeq2SeqIntegrationTest):
@slow
def test_enro_generate_one(self):
batch: BatchEncoding = self.tokenizer.prepare_seq2seq_batch(
["UN Chief Says There Is No Military Solution in Syria"]
["UN Chief Says There Is No Military Solution in Syria"], return_tensors="pt"
).to(torch_device)
translated_tokens = self.model.generate(**batch)
decoded = self.tokenizer.batch_decode(translated_tokens, skip_special_tokens=True)
@@ -101,7 +101,9 @@ class MBartEnroIntegrationTest(AbstractSeq2SeqIntegrationTest):
@slow
def test_enro_generate_batch(self):
batch: BatchEncoding = self.tokenizer.prepare_seq2seq_batch(self.src_text).to(torch_device)
batch: BatchEncoding = self.tokenizer.prepare_seq2seq_batch(self.src_text, return_tensors="pt").to(
torch_device
)
translated_tokens = self.model.generate(**batch)
decoded = self.tokenizer.batch_decode(translated_tokens, skip_special_tokens=True)
assert self.tgt_text == decoded
@@ -153,7 +155,7 @@ class MBartCC25IntegrationTest(AbstractSeq2SeqIntegrationTest):
@unittest.skip("This test is broken, still generates english")
def test_cc25_generate(self):
inputs = self.tokenizer.prepare_seq2seq_batch([self.src_text[0]]).to(torch_device)
inputs = self.tokenizer.prepare_seq2seq_batch([self.src_text[0]], return_tensors="pt").to(torch_device)
translated_tokens = self.model.generate(
input_ids=inputs["input_ids"].to(torch_device),
decoder_start_token_id=self.tokenizer.lang_code_to_id["ro_RO"],
@@ -163,7 +165,9 @@ class MBartCC25IntegrationTest(AbstractSeq2SeqIntegrationTest):
@slow
def test_fill_mask(self):
inputs = self.tokenizer.prepare_seq2seq_batch(["One of the best <mask> I ever read!"]).to(torch_device)
inputs = self.tokenizer.prepare_seq2seq_batch(["One of the best <mask> I ever read!"], return_tensors="pt").to(
torch_device
)
outputs = self.model.generate(
inputs["input_ids"], decoder_start_token_id=self.tokenizer.lang_code_to_id["en_XX"], num_beams=1
)