forked from mrq/DL-Art-School
clip adf test dataset
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@ -33,6 +33,8 @@ class AudioDiffusionFid(evaluator.Evaluator):
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super().__init__(model, opt_eval, env, uses_all_ddp=True)
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super().__init__(model, opt_eval, env, uses_all_ddp=True)
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self.real_path = opt_eval['eval_tsv']
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self.real_path = opt_eval['eval_tsv']
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self.data = load_tsv_aligned_codes(self.real_path)
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self.data = load_tsv_aligned_codes(self.real_path)
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if 'clip_dataset' in opt_eval.keys():
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self.data = self.data[:opt_eval['clip_dataset']]
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if distributed.is_initialized() and distributed.get_world_size() > 1:
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if distributed.is_initialized() and distributed.get_world_size() > 1:
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self.skip = distributed.get_world_size() # One batch element per GPU.
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self.skip = distributed.get_world_size() # One batch element per GPU.
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else:
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else:
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