tf.data.experimental.group_by_reducer | TensorFlow v2.16.1 (original) (raw)
tf.data.experimental.group_by_reducer
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A transformation that groups elements and performs a reduction.
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tf.compat.v1.data.experimental.group_by_reducer
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; itsinit_func is used to initialize state for each group when it is created, thereduce_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 andself.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 totf.data.Dataset.apply. |
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Last updated 2024-04-26 UTC.