tf.data.experimental.group_by_reducer
A transformation that groups elements and performs a reduction.
tf.data.experimental.group_by_reducer(
key_func, reducer
)
This transformation maps element of a dataset to a key using key_func and groups the elements by key. The reducer is used to process each group; its init_func is used to initialize state for each group when it is created, the reduce_func is used to update the state every time an element is mapped to the matching group, and the finalize_func is used to map the final state to an output value.
| Args | |
|---|---|
key_func |
A function mapping a nested structure of tensors (having shapes and types defined by self.output_shapes and self.output_types) to a scalar tf.int64 tensor. |
reducer |
An instance of Reducer, which captures the reduction logic using the init_func, reduce_func, and finalize_func functions. |
| Returns | |
|---|---|
A Dataset transformation function, which can be passed to tf.data.Dataset.apply. |
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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/r1.15/api_docs/python/tf/data/experimental/group_by_reducer