def forward(self, inputs):
x, t = inputs
if chainer.is_debug():
if not ((0 <= t).all() and
(t < x.shape[1]).all()):
msg = 'Each label `t` need to satisfty `0 <= t < x.shape[1]`'
raise ValueError(msg)
xp = cuda.get_array_module(x)
if xp is numpy:
# This code is equivalent to `t.choose(x.T)`, but `numpy.choose`
# does not work when `x.shape[1] > 32`.
return x[six.moves.range(t.size), t],
else:
y = cuda.elementwise(
'S t, raw T x',
'T y',
'int ind[] = {i, t}; y = x[ind];',
'getitem_fwd'
)(t, x)
return y,
评论列表
文章目录