I have a tensor of shape (16, 4096, 3). I have another tensor of indices of shape (16, 32768, 3). I am trying to collect the values along dim=1. This was initially done in pytorch using gather function as shown below-
# a.shape (16L, 4096L, 3L)
# idx.shape (16L, 32768L, 3L)
b = a.gather(1, idx)
# b.shape (16L, 32768L, 3L)
Please note that the size of output b is the same as that of idx. However, when I apply gather function of tensorflow, I get a completely different output. The output dimension was found mismatching as shown below-
b = tf.gather(a, idx, axis=1)
# b.shape (16, 16, 32768, 3, 3)
I also tried using tf.gather_nd but got in vain. See below-
b = tf.gather_nd(a, idx)
# b.shape (16, 32768)
Why am I getting different shapes of tensors? I want to get the tensor of the same shape as calculated by pytorch.
How to achieve the same result as given by pytorch?
