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.