Instead, use tensor.ref() as the key. TensorFlow Tensor is a data structure used in TensorFlow. TensorFlow is open-source Python library designed by Google to develop Machine Learning models and deep learning neural networks. 5. list to tensor . One approach to this is to use the dataset_repeat() function to create an dataset that yields values infinitely. Tensorflow: Iterating over dataset takes 1-2 orders of magnitude … (deprecated) Warning: THIS FUNCTION IS DEPRECATED. TensorFlow operation (String name) Returns the operation (node in the Graph) with the provided name. Instead, use tensor.ref() as the key. Raise code def __iter__(self): if not context.executing_eagerly(): self._disallow_iteration() shape = self._shape_tuple() if shape is None: raise TypeError("Cannot iterate over a tensor with unknown shape.") However, I am getting a placeholder … use Data Iterator in TensorFlow Also, iterator doesn’t keep track of how many elements are present in the Dataset. Hence, it is normal to keep running the iterator’s get_next operation till Tensorflow’s tf.errors.OutOfRangeError exception is occurred. This is usually the skeleton code of how a Dataset and iterator looks like. There is a three dimensional tensor, which I need to compute the expected values for the elements of the second dimension. Tensorflow