ValueError: Tried to convert 'indices' to a tensor and failed. Error: Argument must be a dense tensor: range(0, 3) - got shape [3], but wanted []. about icml17_knn HOT 4 OPEN

This is very surprising. Which tensorflow version are you using? I know there's discrepancy between tf.0.12.0 and tf 1.0+. We only tested our code on v0.12.0.

from icml17_knn.

I'm currently using tf 1.3.0.

from icml17_knn.

Hi, I have fixed some minor discrepancies between the v0.12.0 and v1.3.0. However, it brings a new error: F tensorflow/core/framework/tensor_shape.cc:243] Check failed: ndims_byte() < MaxDimensions() (unsigned char value 254 vs. 254)Too many dimensions in tensor
Abort trap: 6

from icml17_knn.

In case anyone else runs into this problem, there is an issue with tf.gather(tf.shape(input_), range(ndim-1)) using python 3 because range(ndim-1) cannot be automatically converted to a tensor. Replacing it with list(range(ndim-1)) to explicitly cast it to a list resolves that specific error

from icml17_knn.