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import torch |
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def make_weight_cp(t, wa, wb): |
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temp = torch.einsum('i j k l, j r -> i r k l', t, wb) |
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return torch.einsum('i j k l, i r -> r j k l', temp, wa) |
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def rebuild_conventional(up, down, shape, dyn_dim=None): |
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up = up.reshape(up.size(0), -1) |
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down = down.reshape(down.size(0), -1) |
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if dyn_dim is not None: |
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up = up[:, :dyn_dim] |
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down = down[:dyn_dim, :] |
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return (up @ down).reshape(shape) |
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def rebuild_cp_decomposition(up, down, mid): |
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up = up.reshape(up.size(0), -1) |
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down = down.reshape(down.size(0), -1) |
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return torch.einsum('n m k l, i n, m j -> i j k l', mid, up, down) |
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