How to update a subset of 2D tensor in Tensorflow?

Question

I want to update an index in a 2D tensor with value 0. So data is a 2D tensor whose 2nd row 2nd column index value is to be replaced by 0. However, I am getting a type error

Answer 1

tf.scatter_update could only be applied to Variable type. data in your code IS a Variable, while data2 IS NOT, because the return type of tf.reshape is Tensor.

Solution:

for tensorflow after v1.0

data = tf.Variable([[1,2,3,4,5], [6,7,8,9,0], [1,2,3,4,5]])
row = tf.gather(data, 2)
new_row = tf.concat([row[:2], tf.constant([0]), row[3:]], axis=0)
sparse_update = tf.scatter_update(data, tf.constant(2), new_row)

for tensorflow before v1.0

data = tf.Variable([[1,2,3,4,5], [6,7,8,9,0], [1,2,3,4,5]])
row = tf.gather(data, 2)
new_row = tf.concat(0, [row[:2], tf.constant([0]), row[3:]])
sparse_update = tf.scatter_update(data, tf.constant(2), new_row)

Answer 2

Scatter update only works on variables. Instead try this pattern.

Tensorflow version < 1.0: a = tf.concat(0, [a[:i], [updated_value], a[i+1:]])

Tensorflow version >= 1.0: a = tf.concat(axis=0, values=[a[:i], [updated_value], a[i+1:]])