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Prevent weighted sampler use when num_gpus > 1

pull/1032/head
WeberJulian 2021-11-28 00:48:53 +01:00 committed by Eren Gölge
parent 74cedfac38
commit 2bbcb558dc
1 changed files with 8 additions and 1 deletions
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9
TTS/tts/models/base_tts.py
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@ -102,7 +102,7 @@ class BaseTTS(BaseModel):
config.d_vector_dim if "d_vector_dim" in config and config.d_vector_dim is not None else 512 config.d_vector_dim if "d_vector_dim" in config and config.d_vector_dim is not None else 512
) )
# init speaker embedding layer # init speaker embedding layer
if config.use_speaker_embedding and not config.use_d_vector_file:: if config.use_speaker_embedding and not config.use_d_vector_file:
print(" > Init speaker_embedding layer.") print(" > Init speaker_embedding layer.")
self.speaker_embedding = nn.Embedding(self.num_speakers, self.embedded_speaker_dim) self.speaker_embedding = nn.Embedding(self.num_speakers, self.embedded_speaker_dim)
self.speaker_embedding.weight.data.normal_(0, 0.3) self.speaker_embedding.weight.data.normal_(0, 0.3)
@ -337,8 +337,15 @@ class BaseTTS(BaseModel):
if config.compute_f0: if config.compute_f0:
dataset.pitch_extractor.load_pitch_stats(config.get("f0_cache_path", None)) dataset.pitch_extractor.load_pitch_stats(config.get("f0_cache_path", None))
# sampler for DDP # sampler for DDP
sampler = DistributedSampler(dataset) if num_gpus > 1 else None sampler = DistributedSampler(dataset) if num_gpus > 1 else None
# Weighted samplers
assert not (num_gpus > 1 and getattr(config, "use_language_weighted_sampler", False)), "language_weighted_sampler is not supported with DistributedSampler"
assert not (num_gpus > 1 and getattr(config, "use_speaker_weighted_sampler", False)), "speaker_weighted_sampler is not supported with DistributedSampler"
if sampler is None: if sampler is None:
if getattr(config, "use_language_weighted_sampler", False): if getattr(config, "use_language_weighted_sampler", False):
print(" > Using Language weighted sampler") print(" > Using Language weighted sampler")