tf.raw_ops.ExperimentalGroupByWindowDataset
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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 |
|---|
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 |
|---|
A Tensor of type variant.
|
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Last updated 2024-04-26 UTC.
[null,null,["Last updated 2024-04-26 UTC."],[],[],null,["# tf.raw_ops.ExperimentalGroupByWindowDataset\n\n\u003cbr /\u003e\n\nCreates a dataset that computes a windowed group-by on `input_dataset`.\n\n#### View aliases\n\n\n**Compat aliases for migration**\n\nSee\n[Migration guide](https://www.tensorflow.org/guide/migrate) for\nmore details.\n\n[`tf.compat.v1.raw_ops.ExperimentalGroupByWindowDataset`](https://www.tensorflow.org/api_docs/python/tf/raw_ops/ExperimentalGroupByWindowDataset)\n\n\u003cbr /\u003e\n\n tf.raw_ops.ExperimentalGroupByWindowDataset(\n input_dataset,\n key_func_other_arguments,\n reduce_func_other_arguments,\n window_size_func_other_arguments,\n key_func,\n reduce_func,\n window_size_func,\n output_types,\n output_shapes,\n name=None\n )\n\n//\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| `input_dataset` | A `Tensor` of type `variant`. |\n| `key_func_other_arguments` | A list of `Tensor` objects. |\n| `reduce_func_other_arguments` | A list of `Tensor` objects. |\n| `window_size_func_other_arguments` | A list of `Tensor` objects. |\n| `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. |\n| `reduce_func` | A function decorated with @Defun. |\n| `window_size_func` | A function decorated with @Defun. |\n| `output_types` | A list of `tf.DTypes` that has length `\u003e= 1`. |\n| `output_shapes` | A list of shapes (each a [`tf.TensorShape`](../../tf/TensorShape) or list of `ints`) that has length `\u003e= 1`. |\n| `name` | A name for the operation (optional). |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| A `Tensor` of type `variant`. ||\n\n\u003cbr /\u003e"]]
