Spaces:
Running
Running
"""This code is taken from <https://github.com/alexandre01/deepsvg> | |
by Alexandre Carlier, Martin Danelljan, Alexandre Alahi and Radu Timofte | |
from the paper >https://arxiv.org/pdf/2007.11301.pdf> | |
""" | |
import torch | |
def linear(a, b, x, min_x, max_x): | |
""" | |
b ___________ | |
/| | |
/ | | |
a _______/ | | |
| | | |
min_x max_x | |
""" | |
return a + min(max((x - min_x) / (max_x - min_x), 0), 1) * (b - a) | |
def batchify(data, device): | |
return (d.unsqueeze(0).to(device) for d in data) | |
def _make_seq_first(*args): | |
# N, G, S, ... -> S, G, N, ... | |
if len(args) == 1: | |
arg, = args | |
return arg.permute(2, 1, 0, *range(3, arg.dim())) if arg is not None else None | |
return (*(arg.permute(2, 1, 0, *range(3, arg.dim())) if arg is not None else None for arg in args),) | |
def _make_batch_first(*args): | |
# S, G, N, ... -> N, G, S, ... | |
if len(args) == 1: | |
arg, = args | |
return arg.permute(2, 1, 0, *range(3, arg.dim())) if arg is not None else None | |
return (*(arg.permute(2, 1, 0, *range(3, arg.dim())) if arg is not None else None for arg in args),) | |
def _pack_group_batch(*args): | |
# S, G, N, ... -> S, G * N, ... | |
if len(args) == 1: | |
arg, = args | |
return arg.reshape(arg.size(0), arg.size(1) * arg.size(2), *arg.shape[3:]) if arg is not None else None | |
return (*(arg.reshape(arg.size(0), arg.size(1) * arg.size(2), *arg.shape[3:]) if arg is not None else None for arg in args),) | |
def _unpack_group_batch(N, *args): | |
# S, G * N, ... -> S, G, N, ... | |
if len(args) == 1: | |
arg, = args | |
return arg.reshape(arg.size(0), -1, N, *arg.shape[2:]) if arg is not None else None | |
return (*(arg.reshape(arg.size(0), -1, N, *arg.shape[2:]) if arg is not None else None for arg in args),) | |