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# Expand Vector in Tensorflow and space elements with zeros

I would like to space vector elements from each others and fill it with zeros:

``` a = [1, 5, 7, ..., 3] ```

Space elements of a with two zeros:

``` b = [1, 0, 0, 5, 0, 0, 7, 0, 0, ... , 3, 0, 0] ```

The number of zeros that I space the elements with should be flexible.

What's the best way to do this on the Graph in Tensorflow?

Could you do it as explained in this post (second example of the accepted answer)?

Basically I would first create `b` as a a vector of zeros, then compute the indices which point into `b` for all values in `a` and then use the code from the linked post to assign the values of `a` to these indices.

Something like this maybe:

```a = tf.constant(np.array([1, 3, 5, 7])) dim = a.get_shape()[0].value n = 2 b = tf.fill(dims=[dim*(n+1)], value=0.0) new_indices = np.array([i + i*n for i in range(0, dim)]) # now call referenced code with new_indices to update `b` ```

I'm not sure that this is the best way per se, but it would get the job done.