Can't Do Matrix Multiplication With Tensorflow

In Tensorflow, I would like to do matrix multiplication using this code: _X = np.array([[1, 2, 3], [4, 5, 6]]) _Y = np.array([[1, 1], [2, 2], [3, 3]]) X = tf.convert_to_tensor(_X)

Solution 1:

Here is the docs for tf.matmul:

Both matrices must be of the same type. The supported types are: float16, float32, float64, int32, complex64, complex128.

Changing the data type to one of the supported eliminates the error.

_X = np.array([[1, 2, 3], [4, 5, 6]], dtype=np.int32)
_Y = np.array([[1, 1], [2, 2], [3, 3]], dtype=np.int32)
X = tf.convert_to_tensor(_X)
Y = tf.convert_to_tensor(_Y)

res = tf.matmul(X, Y)

sess = tf.Session()
res.eval(session=sess)
#array([[14, 14],
#       [32, 32]], dtype=int32)