tf.raw_ops.GroupByReducerDataset

Creates a dataset that computes a group-by on input_dataset.

tf.raw_ops.GroupByReducerDataset(
    input_dataset,
    key_func_other_arguments,
    init_func_other_arguments,
    reduce_func_other_arguments,
    finalize_func_other_arguments,
    key_func,
    init_func,
    reduce_func,
    finalize_func,
    output_types,
    output_shapes,
    name=None
)

Creates a dataset that computes a group-by on input_dataset.

input_dataset A Tensor of type variant. A variant tensor representing the input dataset.
key_func_other_arguments A list of Tensor objects. A list of tensors, typically values that were captured when building a closure for key_func.
init_func_other_arguments A list of Tensor objects. A list of tensors, typically values that were captured when building a closure for init_func.
reduce_func_other_arguments A list of Tensor objects. A list of tensors, typically values that were captured when building a closure for reduce_func.
finalize_func_other_arguments A list of Tensor objects. A list of tensors, typically values that were captured when building a closure for finalize_func.
key_func A function decorated with @Defun. A function mapping an element of input_dataset, concatenated with key_func_other_arguments to a scalar value of type DT_INT64.
init_func A function decorated with @Defun. A function mapping a key of type DT_INT64, concatenated with init_func_other_arguments to the initial reducer state.
reduce_func A function decorated with @Defun. A function mapping the current reducer state and an element of input_dataset, concatenated with reduce_func_other_arguments to a new reducer state.
finalize_func A function decorated with @Defun. A function mapping the final reducer state to an output element.
output_types A list of tf.DTypes that has length >= 1.
output_shapes A list of shapes (each a tf.TensorShape or list of ints) that has length >= 1.
name A name for the operation (optional).

A Tensor of type variant.