tf.raw_ops.ReduceDataset | TensorFlow v2.16.1 (original) (raw)
tf.raw_ops.ReduceDataset
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Reduces the input dataset to a singleton using a reduce function.
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Compat aliases for migration
SeeMigration guide for more details.
tf.compat.v1.raw_ops.ReduceDataset
tf.raw_ops.ReduceDataset(
input_dataset,
initial_state,
other_arguments,
f,
output_types,
output_shapes,
use_inter_op_parallelism=True,
metadata='',
name=None
)
Args | |
---|---|
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 ofnew_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. |
metadata | An optional string. Defaults to "". |
name | A name for the operation (optional). |
Returns |
---|
A list of Tensor objects of type output_types. |
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Last updated 2024-04-26 UTC.