Example that resolves the TypeError: Input 'y' of 'Mul' Op has type float32 that does not match type int32 of argument 'x' or ValueError: Tensor conversion requested dtype int32 for Tensor with dtype float64 in Tensorflow.

Solution to TypeError or ValueError caused by Tensor dtype

import tensorflow as tf

node1 = tf.constant(5)    # dtype is int32
node2 = tf.constant(6.0)  # dtype is float32

print('Node 1: ', node1) # Node 1:  Tensor("Const:0", shape=(), dtype=int32)
print('Node 2: ', node2) # Node 2:  Tensor("Const_1:0", shape=(), dtype=float32)

# Multiplication
# Convert the node1 type to float32 before multiplying
# If you don't convert the types, you'll get TypeError: Input 'y' of 'Mul' Op has type float32 that does not match type int32 of argument 'x'
node3 = tf.multiply(tf.to_float(node1, name='ToFloat'), node2) # dtype is float32
# Convert the node2 type to int32 before multiplying
node4 = tf.multiply(node1, tf.to_int32(node2, name='ToInt32'))   # dtype is int32

print('Node3: Multiply: ', node3) # Node3: Multiply:  Tensor("Mul:0", shape=(), dtype=float32)
print('Node4: Multiply: ', node4) # Node4: Multiply:  Tensor("Mul_1:0", shape=(), dtype=int32)

# Run inside a session to get the values
with tf.Session() as sess:
    node3Value = sess.run(node3)
    node4Value = sess.run(node4)
    print('Multiplication value at node 3: ', node3Value) # Multiplication value at node 3:  30.0
    print('Multiplication value at node 4: ', node4Value) # Multiplication value at node 4:  30