Reduces the input dataset to a singleton using a reduce function.
tf.raw_ops.ReduceDataset( input_dataset, initial_state, other_arguments, f, output_types, output_shapes, use_inter_op_parallelism=True, name=None )
Args | |
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input_dataset | A Tensor of type variant . A variant tensor representing the input dataset. |
initial_state | A list of Tensor objects. A nested structure of tensors, representing the initial state of the transformation. |
other_arguments | A list of Tensor objects. |
f | A function decorated with @Defun. A function that maps (old_state, input_element) to new_state . It must take two arguments and return a nested structures of tensors. The structure of new_state must match the structure of initial_state . |
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 . |
use_inter_op_parallelism | An optional bool . Defaults to True . |
name | A name for the operation (optional). |
Returns | |
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A list of Tensor objects of type output_types . |
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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.4/api_docs/python/tf/raw_ops/ReduceDataset