Division, exp, log, tile (and potentially more operations) do not support dtype complex64

TensorFlow.js version

Via Script Tag

<script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs/dist/tf.min.js"> </script>

Browser version

Any (I am using Chrome version 78.0.3904.108).

Describe the problem or feature request

CPU implementations of division, exp, log, tile (and potentially more operations) do not support dtype complex64. Might also be the case on the Web GPU backend.

Code to reproduce the bug / link to feature request

let a = tf.complex(tf.tensor([4,6,8]), tf.tensor([1,2,3]));
tf.div(a,a).print();
tf.exp(a).print();
tf.log(a).print();
tf.tile(a, [3]).print();

[MiraiKami]

Hi, I have a real world problem about this issue. For a project in physics modeling I am using complex numbers and must use functions such as sqrt and div, but these do not seem to be implemented as of yet. For this specific project I must use the JS version of tensorflow and have no choice over the programming language.

[FrederikLynggaard]

Hi @nsthorat. I discovered the problem playing around with some complex number computations for a little side project, so this is not for a real world problem. Perhaps the issue should be marked as a feature request? Anyhow, I would consider the problem of low priority.