Warning: This API is deprecated and will be removed in a future
version of TensorFlow after
the replacement is stable.
UniformQuantizedDot.Options
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Inherited Methods
From class
java.lang.Object
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boolean
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equals(Object arg0)
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final
Class<?>
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getClass()
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int
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hashCode()
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final
void
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notify()
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final
void
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notifyAll()
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String
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toString()
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final
void
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wait(long arg0, int arg1)
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final
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wait(long arg0)
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wait()
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Public Methods
Parameters
| lhsQuantizationAxis |
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.
For dot op lhs, only per-tensor quantization is supported.
Thus, this attribute must be set to -1. Other values are rejected.
|
Parameters
| outputQuantizationAxis |
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.
For dot op output, only per-tensor quantization or per-channel quantization along dimension 1 is supported.
Thus, this attribute must be set to -1 or 1. Other values are rejected.
|
Parameters
| rhsQuantizationAxis |
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.
For dot op rhs, only per-tensor quantization or per-channel quantization along dimension 1 is supported.
Thus, this attribute must be set to -1 or 1. Other values are rejected.
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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,["# UniformQuantizedDot.Options\n\npublic static class **UniformQuantizedDot.Options** \nOptional attributes for [UniformQuantizedDot](/api_docs/java/org/tensorflow/op/core/UniformQuantizedDot) \n\n### Public Methods\n\n|--------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [UniformQuantizedDot.Options](/api_docs/java/org/tensorflow/op/core/UniformQuantizedDot.Options) | [lhsQuantizationAxis](/api_docs/java/org/tensorflow/op/core/UniformQuantizedDot.Options#lhsQuantizationAxis(java.lang.Long))(Long lhsQuantizationAxis) |\n| [UniformQuantizedDot.Options](/api_docs/java/org/tensorflow/op/core/UniformQuantizedDot.Options) | [outputQuantizationAxis](/api_docs/java/org/tensorflow/op/core/UniformQuantizedDot.Options#outputQuantizationAxis(java.lang.Long))(Long outputQuantizationAxis) |\n| [UniformQuantizedDot.Options](/api_docs/java/org/tensorflow/op/core/UniformQuantizedDot.Options) | [rhsQuantizationAxis](/api_docs/java/org/tensorflow/op/core/UniformQuantizedDot.Options#rhsQuantizationAxis(java.lang.Long))(Long rhsQuantizationAxis) |\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 [UniformQuantizedDot.Options](/api_docs/java/org/tensorflow/op/core/UniformQuantizedDot.Options)\n**lhsQuantizationAxis**\n(Long lhsQuantizationAxis)\n\n\u003cbr /\u003e\n\n##### Parameters\n\n| lhsQuantizationAxis | 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. For dot op lhs, only per-tensor quantization is supported. Thus, this attribute must be set to -1. Other values are rejected. |\n|---------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n\n#### public [UniformQuantizedDot.Options](/api_docs/java/org/tensorflow/op/core/UniformQuantizedDot.Options)\n**outputQuantizationAxis**\n(Long outputQuantizationAxis)\n\n\u003cbr /\u003e\n\n##### Parameters\n\n| outputQuantizationAxis | 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. For dot op output, only per-tensor quantization or per-channel quantization along dimension 1 is supported. Thus, this attribute must be set to -1 or 1. Other values are rejected. |\n|------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n\n#### public [UniformQuantizedDot.Options](/api_docs/java/org/tensorflow/op/core/UniformQuantizedDot.Options)\n**rhsQuantizationAxis**\n(Long rhsQuantizationAxis)\n\n\u003cbr /\u003e\n\n##### Parameters\n\n| rhsQuantizationAxis | 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. For dot op rhs, only per-tensor quantization or per-channel quantization along dimension 1 is supported. Thus, this attribute must be set to -1 or 1. Other values are rejected. |\n|---------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|"]]
