tf.data.experimental.get_single

TensorFlow 1 version

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A transformation that groups elements and performs a reduction.

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Compat aliases for migration

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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; 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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tf.data / experimental / experimental.get_single_element

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Args

Returns