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fix(core): relative path

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源文雨
2024-08-25 11:16:03 +08:00
parent 8a503fdba9
commit a79d297fe4
1 changed files with 21 additions and 11 deletions
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ChatTTS/core.py
+21 -11
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@@ -139,6 +139,10 @@ class Chat:
use_flash_attn=use_flash_attn,
use_vllm=use_vllm,
experimental=experimental,
**{
k: os.path.join(download_path, v)
for k, v in asdict(self.config.path).items()
},
)
def unload(self):
@@ -221,6 +225,12 @@ class Chat:
@torch.no_grad()
def _load(
self,
vocos_ckpt_path: str = None,
dvae_ckpt_path: str = None,
gpt_ckpt_path: str = None,
embed_path: str = None,
decoder_ckpt_path: str = None,
tokenizer_path: str = None,
device: Optional[torch.device] = None,
compile: bool = False,
coef: Optional[str] = None,
@@ -250,8 +260,8 @@ class Chat:
)
.eval()
)
assert self.config.path.vocos_ckpt_path, "vocos_ckpt_path should not be None"
vocos.load_state_dict(torch.load(self.config.path.vocos_ckpt_path, weights_only=True, mmap=True))
assert vocos_ckpt_path, "vocos_ckpt_path should not be None"
vocos.load_state_dict(torch.load(vocos_ckpt_path, weights_only=True, mmap=True))
self.vocos = vocos
self.logger.log(logging.INFO, "vocos loaded.")
@@ -267,8 +277,8 @@ class Chat:
.eval()
)
coef = str(dvae)
assert self.config.path.dvae_ckpt_path, "dvae_ckpt_path should not be None"
dvae.load_state_dict(torch.load(self.config.path.dvae_ckpt_path, weights_only=True, mmap=True))
assert dvae_ckpt_path, "dvae_ckpt_path should not be None"
dvae.load_state_dict(torch.load(dvae_ckpt_path, weights_only=True, mmap=True))
self.dvae = dvae
self.logger.log(logging.INFO, "dvae loaded.")
@@ -278,7 +288,7 @@ class Chat:
self.config.embed.num_text_tokens,
self.config.embed.num_vq,
)
embed.from_pretrained(self.config.path.embed_path)
embed.from_pretrained(embed_path)
self.embed = embed
self.logger.log(logging.INFO, "embed loaded.")
@@ -291,8 +301,8 @@ class Chat:
device_gpt=self.device_gpt,
logger=self.logger,
).eval()
assert self.config.path.gpt_ckpt_path, "gpt_ckpt_path should not be None"
gpt.from_pretrained(self.config.path.gpt_ckpt_path, self.config.path.embed_path, experimental=experimental)
assert gpt_ckpt_path, "gpt_ckpt_path should not be None"
gpt.from_pretrained(gpt_ckpt_path, embed_path, experimental=experimental)
gpt.prepare(compile=compile and "cuda" in str(device))
self.gpt = gpt
self.logger.log(logging.INFO, "gpt loaded.")
@@ -312,15 +322,15 @@ class Chat:
.eval()
)
coef = str(decoder)
assert self.config.path.decoder_ckpt_path, "decoder_ckpt_path should not be None"
assert decoder_ckpt_path, "decoder_ckpt_path should not be None"
decoder.load_state_dict(
torch.load(self.config.path.decoder_ckpt_path, weights_only=True, mmap=True)
torch.load(decoder_ckpt_path, weights_only=True, mmap=True)
)
self.decoder = decoder
self.logger.log(logging.INFO, "decoder loaded.")
if self.config.path.tokenizer_path:
self.tokenizer = Tokenizer(self.config.path.tokenizer_path)
if tokenizer_path:
self.tokenizer = Tokenizer(tokenizer_path)
self.logger.log(logging.INFO, "tokenizer loaded.")
self.coef = coef