How can we replace a single element in an n-D Tensor in TensorFlow? -


if have 1-d tensor, can replace single element 0-d tensor using tf.scatter_update or unpacking, replacing, packing.

example:

# pretend x came somewhere useful. x = tf.variable(0) = tf.variable([1, 2, 3]) # replace 2 whatever's in x = tf.scatter_update(a, 1, x)

a produce [1, 0, 3].

is possible n-d arrays?

example:

# pretend x came somewhere useful. x = tf.variable(0, dtype=tf.float32) = tf.variable(np.random.rand(3, 3, 3, 3)) # what's equivalent of a[1, 1, 1, 1] = x ?

i think desired result mixture of tf.unpack, tf.scatter_update, , tf.pack, it'd verbose, , we'd replacing (potentially large) 3-d tensor instead of replacing tiny 0-d tensor. there better way?

if want efficiently, believe need write new op or generalize scatter_update.


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