Spaces:
Running
on
Zero
Running
on
Zero
Update utils/model.py
Browse files- utils/model.py +6 -2
utils/model.py
CHANGED
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@@ -1,3 +1,5 @@
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import os
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import json
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@@ -9,6 +11,7 @@ from model import FastSpeech2, ScheduledOptim
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device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
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def get_model(args, configs, device, train=False):
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(preprocess_config, model_config, train_config) = configs
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@@ -34,6 +37,7 @@ def get_model(args, configs, device, train=False):
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model.requires_grad_ = False
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return model
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def get_model_infer(ckpt_path, configs, device):
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(preprocess_config, model_config, train_config) = configs
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@@ -49,7 +53,7 @@ def get_param_num(model):
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num_param = sum(param.numel() for param in model.parameters())
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return num_param
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-
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def get_vocoder(config, device):
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name = config["vocoder"]["model"]
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speaker = config["vocoder"]["speaker"]
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@@ -81,7 +85,7 @@ def get_vocoder(config, device):
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return vocoder
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def vocoder_infer(mels, vocoder, model_config, preprocess_config, lengths=None):
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name = model_config["vocoder"]["model"]
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with torch.no_grad():
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import spaces
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import os
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import json
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device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
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@spaces.GPU(duration=10)
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def get_model(args, configs, device, train=False):
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(preprocess_config, model_config, train_config) = configs
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model.requires_grad_ = False
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return model
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@spaces.GPU(duration=10)
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def get_model_infer(ckpt_path, configs, device):
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(preprocess_config, model_config, train_config) = configs
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num_param = sum(param.numel() for param in model.parameters())
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return num_param
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@spaces.GPU(duration=10)
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def get_vocoder(config, device):
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name = config["vocoder"]["model"]
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speaker = config["vocoder"]["speaker"]
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return vocoder
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@spaces.GPU(duration=10)
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def vocoder_infer(mels, vocoder, model_config, preprocess_config, lengths=None):
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name = model_config["vocoder"]["model"]
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with torch.no_grad():
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