tensorflow.python.framework.errors_impl.InvalidArgumentError: required broadcastable shapes [Op:Sub]

This error occurs when the shape of the input tensors in a subtraction operation cannot be broadcasted. Broadcasting is the process of making the shapes of the input tensors compatible for performing element-wise operations such as addition or subtraction.

To resolve this error, you need to check the shapes of the input tensors and make sure they are compatible for broadcasting. The shapes of the tensors must match or be compatible according to the rules of broadcasting.

For example, if you are subtracting two tensors A and B, their shapes must satisfy one of the following conditions:

- A and B have the same shape.
- One of the dimensions of A or B is 1, and the other dimension is the same for both tensors.
- One of the dimensions of A or B is missing (i.e., None), and the other dimension is the same for both tensors.

If the shapes of the input tensors are not compatible for broadcasting, you may need to reshape or transpose them to make them compatible. You can use the tf.reshape and tf.transpose functions in TensorFlow to manipulate the shapes of tensors.