How to get the dimensions of a tensor (in TensorFlow) at graph construction time?

Question

I am trying an Op that is not behaving as expected.

graph = tf.Graph()
with graph.as_default():
  train_dataset = tf.placeholder(tf.int32, shape=[128, 2])
  embe         


        

Answer 1

Just print out the embed after construction graph (ops) without running:

import tensorflow as tf

...

train_dataset = tf.placeholder(tf.int32, shape=[128, 2])
embeddings = tf.Variable(
    tf.random_uniform([50000, 64], -1.0, 1.0))
embed = tf.nn.embedding_lookup(embeddings, train_dataset)
print (embed)

This will show the shape of the embed tensor:

Tensor("embedding_lookup:0", shape=(128, 2, 64), dtype=float32)

Usually, it's good to check shapes of all tensors before training your models.