Hi everyone,
What is the PyTorch alternative for tf.contrib.resampler.resampler
. I tried to use torch.nn.functional.interpolate
but it does not seem to work the same.
Thanks.
Unfortunately this is not working for me… In tensorflow, the two tensors input
and grid
can have different number of dimensions
for eg:
input.get_shape() = [N, H, W, C]
and
grid.get_shape() = [N, dim_0, ... , dim_n, 2]
…
But torch.grid_sample()
requires the input
and grid
to have the same number of dimensions.
Is there any solution to this.
My input
is 4D and grid
is 3D.
Thanks.