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Fix seamless TTS generate (#34968)

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* fix seamless tts generate

* apply same fix for v2

* [run-slow] seamless_m4t, seamless_m4t_v2

* remove TODO

* [run-slow] seamless_m4t, seamless_m4t_v2

* [run-slow] seamless_m4t, seamless_m4t_v2

* ignore failing test on multigpus

* [run-slow] seamless_m4t, seamless_m4t_v2

* [run-slow] seamless_m4t, seamless_m4t_v2
This commit is contained in:
Yoach Lacombe 2024-12-11 15:38:42 +01:00 committed by GitHub
parent 33c12e4d80
commit 6181c6b095
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GPG Key ID: B5690EEEBB952194
4 changed files with 9 additions and 3 deletions
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2
src/transformers/models/seamless_m4t/modeling_seamless_m4t.py
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@ -293,6 +293,8 @@ def format_speech_generation_kwargs(kwargs):
elif key.startswith("speech_"): elif key.startswith("speech_"):
key = key[len("speech_") :] key = key[len("speech_") :]
kwargs_speech[key] = value kwargs_speech[key] = value
elif key == "generation_config":
kwargs_text[key] = value
else: else:
# If the key is already in a specific config, then it's been set with a # If the key is already in a specific config, then it's been set with a
# submodules specific value and we don't override # submodules specific value and we don't override

2
src/transformers/models/seamless_m4t_v2/modeling_seamless_m4t_v2.py
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@ -421,6 +421,8 @@ def format_speech_generation_kwargs(kwargs):
elif key.startswith("speech_"): elif key.startswith("speech_"):
key = key[len("speech_") :] key = key[len("speech_") :]
kwargs_speech[key] = value kwargs_speech[key] = value
elif key == "generation_config":
kwargs_text[key] = value
else: else:
# If the key is already in a specific config, then it's been set with a # If the key is already in a specific config, then it's been set with a
# submodules specific value and we don't override # submodules specific value and we don't override

5
tests/models/seamless_m4t_v2/test_modeling_seamless_m4t_v2.py
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@ -589,6 +589,11 @@ class SeamlessM4Tv2ModelWithSpeechInputTest(ModelTesterMixin, unittest.TestCase)
[self.model_tester.num_attention_heads, encoder_seq_length, encoder_key_length], [self.model_tester.num_attention_heads, encoder_seq_length, encoder_key_length],
) )
# TODO: @ydshieh: refer to #34968
@unittest.skip(reason="Failing on multi-gpu runner")
def test_retain_grad_hidden_states_attentions(self):
pass
@require_torch @require_torch
class SeamlessM4Tv2ModelWithTextInputTest(ModelTesterMixin, GenerationTesterMixin, unittest.TestCase): class SeamlessM4Tv2ModelWithTextInputTest(ModelTesterMixin, GenerationTesterMixin, unittest.TestCase):

3
tests/pipelines/test_pipelines_text_to_audio.py
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@ -27,7 +27,6 @@ from transformers.testing_utils import (
require_torch, require_torch,
require_torch_accelerator, require_torch_accelerator,
require_torch_or_tf, require_torch_or_tf,
run_test_using_subprocess,
slow, slow,
torch_device, torch_device,
) )
@ -67,10 +66,8 @@ class TextToAudioPipelineTests(unittest.TestCase):
audio = [output["audio"] for output in outputs] audio = [output["audio"] for output in outputs]
self.assertEqual([ANY(np.ndarray), ANY(np.ndarray)], audio) self.assertEqual([ANY(np.ndarray), ANY(np.ndarray)], audio)
# TODO: @ylacombe: `SeamlessM4TForTextToSpeech.generate` has issue with `generation_config`. See issue #34811
@slow @slow
@require_torch @require_torch
@run_test_using_subprocess
def test_medium_seamless_m4t_pt(self): def test_medium_seamless_m4t_pt(self):
speech_generator = pipeline(task="text-to-audio", model="facebook/hf-seamless-m4t-medium", framework="pt") speech_generator = pipeline(task="text-to-audio", model="facebook/hf-seamless-m4t-medium", framework="pt")