Transposing TensorFlow and matrix multiplication

To transpose a matrix and matrix multiplication eagerly, use the following:

u = tf.constant([[3,4,3]]) 
v = tf.constant([[1,2,1]])
tf.matmul(u, tf.transpose(a=v))

The output will be as follows:

<tf.Tensor: id=555345, shape=(1, 1), dtype=int32, numpy=array([[14]], dtype=int32)>

Note, again, that the default integer type is tf.int32 and the default float type is tf.float32.

All of the operations that are available for tensors that form part of a computational graph are also available for eager execution variables.

There is a complete list of these operations at https://www.tensorflow.org/api_guides/python/math_ops.