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meridian.backend.arange
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TensorFlow implementation for arange.
meridian
.
backend
.
arange
(
start
:
Any
,
stop
:
Optional
[
Any
]
=
None
,
step
:
Any
=
1
,
dtype
:
Optional
[
Any
]
=
None
)
->
'_tf.Tensor'
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, and code samples are licensed under the Apache 2.0 License
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Last updated 2025-09-05 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-09-05 UTC."],[],[],null,["\u003cbr /\u003e\n\n|----------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/google/meridian/blob/v1.2.0/meridian/backend/__init__.py#L137-L151) |\n\nTensorFlow implementation for arange. \n\n meridian.backend.arange(\n start: Any,\n stop: Optional[Any] = None,\n step: Any = 1,\n dtype: Optional[Any] = None\n ) -\u003e '_tf.Tensor'"]]
