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36 lines
No EOL
749 B
Python
36 lines
No EOL
749 B
Python
import torch
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def find(a, v):
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try:
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idx = a.index(v)
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except:
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idx = -1
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return idx
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def interleave_tensors(tensors, dim=-2):
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""" interleave list of tensors along sequence dimension """
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x = torch.cat([x.unsqueeze(dim) for x in tensors], dim=dim)
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x = torch.flatten(x, dim - 1, dim)
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return x
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def _interleave(x, pcm_levels=256):
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repeats = pcm_levels // (2*x.size(-1))
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x = x.unsqueeze(-1)
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p = torch.flatten(torch.repeat_interleave(torch.cat((x, 1 - x), dim=-1), repeats, dim=-1), -2)
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return p
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def get_pdf_from_tree(x):
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pcm_levels = x.size(-1)
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p = _interleave(x[..., 1:2])
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n = 4
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while n <= pcm_levels:
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p = p * _interleave(x[..., n//2:n])
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n *= 2
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return p |