float error about shapematchinggan HOT 6 CLOSED

and same other problems in trainSketchModule.py

from shapematchinggan.

class myBlur(nn.Module):
def init(self, kernel_size=121, channels=3):
super(myBlur, self).init()
self.kernel_size=kernel_size
self.channels = channels
self.GF = nn.Conv2d(in_channels=channels, out_channels=channels,
kernel_size=kernel_size, groups=channels, bias=False)
x_cord = torch.arange(self.kernel_size+0.)
x_grid = x_cord.repeat(self.kernel_size).view(self.kernel_size, self.kernel_size)
y_grid = x_grid.t()
self.xy_grid = torch.stack([x_grid, y_grid], dim=-1)
self.mean = (self.kernel_size - 1)/2 ###this may become float and cause pad error
self.diff = -torch.sum((self.xy_grid - self.mean)**2., dim=-1)
self.gaussian_filter = nn.Conv2d(in_channels=self.channels, out_channels=self.channels,
kernel_size=self.kernel_size, groups=self.channels, bias=False)

    self.gaussian_filter.weight.requires_grad = False

from shapematchinggan.

The float bugs have been fixed.
It seems that your default data type is float?
In my case, the result of integer / integer is sill an integer.
e.g. (self.kernel_size - 1)/2 and trainnum/batchsize*batchsize
So there is no type error reported in the orginal code on my computer.

from shapematchinggan.

看来是我的问题。 不过都是python3 ，为什么我的整数相除会变成浮点？

from shapematchinggan.

It seems that I find the reason.
My code is implemented under python2, where integer / integer yields integer.
And in python3, integer / integer produces float.

from shapematchinggan.

so haven't you thought about making a python3 version?

from shapematchinggan.