def h(sample):
inputs = Variable(cast(sample[0], opt.dtype))
targets = Variable(cast(sample[1], 'long'))
y = data_parallel(f, inputs, params, stats, sample[2],
np.arange(opt.ngpu))
return F.cross_entropy(y, targets), y
def h(sample):
inputs = cast(sample[0], opt.dtype)
targets = cast(sample[1], 'long')
y = data_parallel(f, inputs, params, sample[2], range(opt.ngpu)).float()
return F.cross_entropy(y, targets), y