TF2 tensor generators

Generator	Main Alias	Description	Returns Tensor?
tf.Tensor	tf.experimental.numpy.ndarray	A tf.Tensor represents a multidimensional array of elements.	TRUE
tf.sparse.SparseTensor	tf.SparseTensor	Represents a sparse tensor.	TRUE
tf.ones		Creates a tensor with all elements set to one (1).	TRUE
tf.fill		Creates a tensor filled with a scalar value.	TRUE
tf.zeros		Creates a tensor with all elements set to zero.	TRUE
tf.zeros_like		Creates a tensor with all elements set to zero.	TRUE
tf.one_hot		Returns a one-hot tensor.	TRUE
tf.eye	tf.linalg.eye	Construct an identity matrix, or a batch of matrices.	TRUE
tf.Variable		A variable maintains shared, persistent state manipulated by a program.	FALSE
tf.constant		Creates a constant tensor from a tensor-like object.	TRUE
tf.convert_to_tensor		Converts the given value to a Tensor.	TRUE
tf.keras.Input	tf.keras.layers.Input	A Keras tensor is a symbolic tensor-like object, which we augment with certain attributes that allow us to build a Keras model just by knowing the inputs and outputs of the model.	FALSE
tf.ragged.constant		Constructs a constant RaggedTensor from a nested Python list.	TRUE
tf.ragged.range		Returns a RaggedTensor containing the specified sequences of numbers.	TRUE
tf.RaggedTensor.from_nested_row_lengths		Creates a RaggedTensor from a nested list of row_lengths tensors.	TRUE
tf.RaggedTensor.from_nested_row_splits		Creates a RaggedTensor from a nested list of row_splits tensors.	TRUE
tf.RaggedTensor.from_nested_value_rowids		Creates a RaggedTensor from a nested list of value_rowids tensors.	TRUE
tf.RaggedTensor.from_row_lengths		Creates a RaggedTensor with rows partitioned by row_lengths.	TRUE
tf.RaggedTensor.from_row_limits		Creates a RaggedTensor with rows partitioned by row_limits.	TRUE
tf.RaggedTensor.from_row_splits		Creates a RaggedTensor with rows partitioned by row_splits.	TRUE
tf.RaggedTensor.from_row_starts		Creates a RaggedTensor with rows partitioned by row_starts.	TRUE
tf.RaggedTensor.from_value_rowids		Creates a RaggedTensor with rows partitioned by value_rowids.	TRUE
tf.random.gamma		Draws shape samples from each of the given Gamma distribution(s).	TRUE
tf.random.normal		Outputs random values from a normal distribution.	TRUE
tf.random.poisson		Draws shape samples from each of the given Poisson distribution(s).	TRUE
tf.random.uniform		Outputs random values from a uniform distribution.	TRUE
tf.random.truncated_normal		Outputs random values from a truncated normal distribution.	TRUE
tf.range		Creates a sequence of numbers.	TRUE
tf.sparse.eye		Creates a two-dimensional sparse tensor with ones along the diagonal.	TRUE