fix local subfolder
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29628acbec
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1c14ce9509
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@ -134,6 +134,10 @@ class ConfigMixin:
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if os.path.isfile(os.path.join(pretrained_model_name_or_path, cls.config_name)):
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# Load from a PyTorch checkpoint
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config_file = os.path.join(pretrained_model_name_or_path, cls.config_name)
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elif subfolder is not None and os.path.isfile(
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os.path.join(pretrained_model_name_or_path, subfolder, cls.config_name)
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):
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config_file = os.path.join(pretrained_model_name_or_path, subfolder, cls.config_name)
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else:
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raise EnvironmentError(
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f"Error no file named {cls.config_name} found in directory {pretrained_model_name_or_path}."
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@ -348,6 +348,10 @@ class ModelMixin(torch.nn.Module):
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if os.path.isfile(os.path.join(pretrained_model_name_or_path, WEIGHTS_NAME)):
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# Load from a PyTorch checkpoint
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model_file = os.path.join(pretrained_model_name_or_path, WEIGHTS_NAME)
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elif subfolder is not None and os.path.isfile(
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os.path.join(pretrained_model_name_or_path, subfolder, WEIGHTS_NAME)
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):
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model_file = os.path.join(pretrained_model_name_or_path, subfolder, WEIGHTS_NAME)
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else:
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raise EnvironmentError(
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f"Error no file named {WEIGHTS_NAME} found in directory {pretrained_model_name_or_path}."
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@ -214,7 +214,9 @@ class PNDMScheduler(SchedulerMixin, ConfigMixin):
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) ** (0.5)
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# full formula (9)
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prev_sample = sample_coeff * sample - (alpha_prod_t_prev - alpha_prod_t) * model_output / model_output_denom_coeff
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prev_sample = (
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sample_coeff * sample - (alpha_prod_t_prev - alpha_prod_t) * model_output / model_output_denom_coeff
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)
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return prev_sample
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