tf.raw_ops.ExperimentalGroupByWindowDataset
Creates a dataset that computes a windowed group-by on input_dataset
.
tf.raw_ops.ExperimentalGroupByWindowDataset( input_dataset, key_func_other_arguments, reduce_func_other_arguments, window_size_func_other_arguments, key_func, reduce_func, window_size_func, output_types, output_shapes, name=None )
//
Args | |
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input_dataset | A Tensor of type variant . |
key_func_other_arguments | A list of Tensor objects. |
reduce_func_other_arguments | A list of Tensor objects. |
window_size_func_other_arguments | A list of Tensor objects. |
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. |
reduce_func | A function decorated with @Defun. |
window_size_func | A function decorated with @Defun. |
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). |
Returns | |
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A Tensor of type variant . |
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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/ExperimentalGroupByWindowDataset