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UniformRequantize.Options
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Inherited Methods
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Public Methods
Parameters
| inputQuantizationAxis |
The quantization axis that was used when quantizing original data that `input` represents.
Indicates the dimension index of the tensor where per-axis quantization is applied for the slices along that dimension.
If set to -1 (default), this indicates per-tensor quantization. Otherwise, it must be set within range [0, input.dims()).
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Parameters
| outputQuantizationAxis |
The new quantization axis to use to quantize original data that `input` represents.
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Last updated 2022-10-27 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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2022-10-27 UTC."],[],[],null,["# UniformRequantize.Options\n\npublic static class **UniformRequantize.Options** \nOptional attributes for [UniformRequantize](/api_docs/java/org/tensorflow/op/core/UniformRequantize) \n\n### Public Methods\n\n|----------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [UniformRequantize.Options](/api_docs/java/org/tensorflow/op/core/UniformRequantize.Options) | [inputQuantizationAxis](/api_docs/java/org/tensorflow/op/core/UniformRequantize.Options#inputQuantizationAxis(java.lang.Long))(Long inputQuantizationAxis) |\n| [UniformRequantize.Options](/api_docs/java/org/tensorflow/op/core/UniformRequantize.Options) | [outputQuantizationAxis](/api_docs/java/org/tensorflow/op/core/UniformRequantize.Options#outputQuantizationAxis(java.lang.Long))(Long outputQuantizationAxis) |\n\n### Inherited Methods\n\nFrom class java.lang.Object \n\n|------------------|---------------------------|\n| boolean | equals(Object arg0) |\n| final Class\\\u003c?\\\u003e | getClass() |\n| int | hashCode() |\n| final void | notify() |\n| final void | notifyAll() |\n| String | toString() |\n| final void | wait(long arg0, int arg1) |\n| final void | wait(long arg0) |\n| final void | wait() |\n\nPublic Methods\n--------------\n\n#### public [UniformRequantize.Options](/api_docs/java/org/tensorflow/op/core/UniformRequantize.Options)\n**inputQuantizationAxis**\n(Long inputQuantizationAxis)\n\n\u003cbr /\u003e\n\n##### Parameters\n\n| inputQuantizationAxis | The quantization axis that was used when quantizing original data that \\`input\\` represents. Indicates the dimension index of the tensor where per-axis quantization is applied for the slices along that dimension. If set to -1 (default), this indicates per-tensor quantization. Otherwise, it must be set within range \\[0, input.dims()). |\n|-----------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n\n#### public [UniformRequantize.Options](/api_docs/java/org/tensorflow/op/core/UniformRequantize.Options)\n**outputQuantizationAxis**\n(Long outputQuantizationAxis)\n\n\u003cbr /\u003e\n\n##### Parameters\n\n| outputQuantizationAxis | The new quantization axis to use to quantize original data that \\`input\\` represents. |\n|------------------------|---------------------------------------------------------------------------------------|"]]
