forked from killua/TakwayDisplayPlatform
21 lines
640 B
Python
21 lines
640 B
Python
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from numpy import zeros, int32, float32
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from torch import from_numpy
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from .core import maximum_path_jit
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def maximum_path(neg_cent, mask):
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""" numba optimized version.
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neg_cent: [b, t_t, t_s]
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mask: [b, t_t, t_s]
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"""
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device = neg_cent.device
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dtype = neg_cent.dtype
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neg_cent = neg_cent.data.cpu().numpy().astype(float32)
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path = zeros(neg_cent.shape, dtype=int32)
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t_t_max = mask.sum(1)[:, 0].data.cpu().numpy().astype(int32)
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t_s_max = mask.sum(2)[:, 0].data.cpu().numpy().astype(int32)
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maximum_path_jit(path, neg_cent, t_t_max, t_s_max)
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return from_numpy(path).to(device=device, dtype=dtype)
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