Tensorsensor
the library to debug tensor operation dimension is called TensorSensor
- Augments the exception object’s message created by the underlying tensor library.
- Gives a visual representation of the tensor sizes involved in the offending operation; only the operands and operator involved in the exception are highlighted, while the other Python elements are de-highlighted.
example
import tsensor
import tensorflow as tf
W = tf.random.uniform((d,n_neurons))
b = tf.random.uniform((n_neurons,1))
X = tf.random.uniform((n,d))
with tsensor.clarify():
Y = W @ tf.transpose(X) + b
#show error
perceptilabs
$ pip install perceptilabs
$ perceptilabs
