TensorFlow: Is there a way to convert a list with None type to a Tensor?

No, because None and 64 have different types, and all tensors are typed: You can't have elements of different types in one tensor.

The closest thing you could do is nan:

tf.convert_to_tensor([np.nan, 1, 1, 64])

although I can't imagine why you'd want that.

You can however create a TensorShape:

tf.TensorShape([None, 1, 1, 64])

Use tf.convert_to_tensor([-1, 1, 1, 64]) instead of None, since you are already specifying 3 out of 4 dimensions, this should be fine.