Why use static shapes while converting the Tensor of rank 3 to rank 2? about effectivetensorflow

[vahidk]

It depends on the use case. Sometimes it's perfectly fine to use dynamic shapes. But some ops may need some dimensions of your tensors to be static. For example if you use tf.layers.dense, it needs to know the last dimension of your tensor so that it can allocate a variable for that. In these cases you'd want static shapes. I tend to use a custom get_shape function that prefers to return static shapes.

[hossein-amirkhani]

Thanks!