29 lines
889 B
Python
29 lines
889 B
Python
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def nlc_to_nchw(x, hw_shape):
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"""Convert [N, L, C] shape tensor to [N, C, H, W] shape tensor.
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Args:
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x (Tensor): The input tensor of shape [N, L, C] before convertion.
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hw_shape (Sequence[int]): The height and width of output feature map.
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Returns:
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Tensor: The output tensor of shape [N, C, H, W] after convertion.
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"""
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H, W = hw_shape
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assert len(x.shape) == 3
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B, L, C = x.shape
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assert L == H * W, 'The seq_len doesn\'t match H, W'
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return x.transpose(1, 2).reshape(B, C, H, W)
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def nchw_to_nlc(x):
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"""Flatten [N, C, H, W] shape tensor to [N, L, C] shape tensor.
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Args:
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x (Tensor): The input tensor of shape [N, C, H, W] before convertion.
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Returns:
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Tensor: The output tensor of shape [N, L, C] after convertion.
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"""
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assert len(x.shape) == 4
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return x.flatten(2).transpose(1, 2).contiguous()
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