More fixes
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@ -84,12 +84,12 @@ class UnsupervisedAudioDataset(torch.utils.data.Dataset):
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assert audiopath in related_files
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assert len(related_files) < 50000 # Sanity check to ensure we aren't loading "related files" that aren't actually related.
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if len(related_files) == 0:
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j = 0
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print(f"No related files for {audiopath}")
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related_files.remove(audiopath)
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related_clips = []
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random.shuffle(related_clips)
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for j, related_file in enumerate(related_files):
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i = 0
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for related_file in related_files:
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rel_clip = load_audio(related_file, self.sampling_rate)
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gap = rel_clip.shape[-1] - self.extra_sample_len
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if gap < 0:
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@ -98,12 +98,13 @@ class UnsupervisedAudioDataset(torch.utils.data.Dataset):
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rand_start = random.randint(0, gap)
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rel_clip = rel_clip[:, rand_start:rand_start+self.extra_sample_len]
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related_clips.append(rel_clip)
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if j >= self.extra_samples:
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i += 1
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if i >= self.extra_samples:
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break
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actual_extra_samples = j
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while j < self.extra_samples:
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actual_extra_samples = i
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while i < self.extra_samples:
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related_clips.append(torch.zeros(1, self.extra_sample_len))
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j += 1
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i += 1
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return torch.stack(related_clips, dim=0), actual_extra_samples
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def __getitem__(self, index):
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