How to get Tensorflow tensor dimensions (shape) as int values?
To get the shape as a list of ints, do tensor.get_shape().as_list().
To complete your tf.shape() call, try tensor2 = tf.reshape(tensor, tf.TensorShape([num_rows*num_cols, 1])). Or you can directly do tensor2 = tf.reshape(tensor, tf.TensorShape([-1, 1])) where its first dimension can be inferred.
Another way to solve this is like this:
tensor_shape[0].valueThis will return the int value of the Dimension object.
2.0 Compatible Answer: In Tensorflow 2.x (2.1), you can get the dimensions (shape) of the tensor as integer values, as shown in the Code below:
Method 1 (using tf.shape):
import tensorflow as tfc = tf.constant([[1.0, 2.0, 3.0], [4.0, 5.0, 6.0]])Shape = c.shape.as_list()print(Shape) # [2,3]Method 2 (using tf.get_shape()):
import tensorflow as tfc = tf.constant([[1.0, 2.0, 3.0], [4.0, 5.0, 6.0]])Shape = c.get_shape().as_list()print(Shape) # [2,3]