Function Gradients With Gather Operations In Tensorflow

I am trying to write a complicated computational graph using tensorflow and compute symbolic gradients with respect to function parameters. However I am struggling with this when m

Solution 1:

The answer was very simple. I just needed to use the tf.convert_to_tensor() function

T_grad = tf.gradients(T_loss,[T_W])
T_grad = tf.convert_to_tensor(T_grad[0])