Warning: This API is deprecated and will be removed in a future
version of TensorFlow after
the replacement is stable.
Conv2DBackpropInputV2.Options
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Inherited Methods
From class
java.lang.Object
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boolean
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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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void
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notifyAll()
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String
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toString()
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wait(long arg0, int arg1)
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wait(long arg0)
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wait()
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Public Methods
Parameters
| dataFormat |
Specify the data format of the input and output data. With the
default format "NHWC", the data is stored in the order of:
[batch, in_height, in_width, in_channels].
Alternatively, the format could be "NCHW", the data storage order of:
[batch, in_channels, in_height, in_width].
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Parameters
| dilations |
1-D tensor of length 4. The dilation factor for each dimension of
`input`. If set to k > 1, there will be k-1 skipped cells between each filter
element on that dimension. The dimension order is determined by the value of
`data_format`, see above for details. Dilations in the batch and depth
dimensions must be 1.
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Parameters
| explicitPaddings |
If `padding` is `"EXPLICIT"`, the list of explicit padding amounts. For the ith
dimension, the amount of padding inserted before and after the dimension is
`explicit_paddings[2 * i]` and `explicit_paddings[2 * i + 1]`, respectively. If
`padding` is not `"EXPLICIT"`, `explicit_paddings` must be empty.
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Last updated 2023-03-23 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 2023-03-23 UTC."],[],[],null,["# Conv2DBackpropInputV2.Options\n\npublic static class **Conv2DBackpropInputV2.Options** \nOptional attributes for [Conv2DBackpropInputV2](/api_docs/java/org/tensorflow/op/core/Conv2DBackpropInputV2) \n\n### Public Methods\n\n|------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [Conv2DBackpropInputV2.Options](/api_docs/java/org/tensorflow/op/core/Conv2DBackpropInputV2.Options) | [dataFormat](/api_docs/java/org/tensorflow/op/core/Conv2DBackpropInputV2.Options#dataFormat(java.lang.String))(String dataFormat) |\n| [Conv2DBackpropInputV2.Options](/api_docs/java/org/tensorflow/op/core/Conv2DBackpropInputV2.Options) | [dilations](/api_docs/java/org/tensorflow/op/core/Conv2DBackpropInputV2.Options#dilations(java.util.List\u003cjava.lang.Long\u003e))(List\\\u003cLong\\\u003e dilations) |\n| [Conv2DBackpropInputV2.Options](/api_docs/java/org/tensorflow/op/core/Conv2DBackpropInputV2.Options) | [explicitPaddings](/api_docs/java/org/tensorflow/op/core/Conv2DBackpropInputV2.Options#explicitPaddings(java.util.List\u003cjava.lang.Long\u003e))(List\\\u003cLong\\\u003e explicitPaddings) |\n| [Conv2DBackpropInputV2.Options](/api_docs/java/org/tensorflow/op/core/Conv2DBackpropInputV2.Options) | [useCudnnOnGpu](/api_docs/java/org/tensorflow/op/core/Conv2DBackpropInputV2.Options#useCudnnOnGpu(java.lang.Boolean))(Boolean useCudnnOnGpu) |\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 [Conv2DBackpropInputV2.Options](/api_docs/java/org/tensorflow/op/core/Conv2DBackpropInputV2.Options)\n**dataFormat**\n(String dataFormat)\n\n\u003cbr /\u003e\n\n##### Parameters\n\n| dataFormat | Specify the data format of the input and output data. With the default format \"NHWC\", the data is stored in the order of: \\[batch, in_height, in_width, in_channels\\]. Alternatively, the format could be \"NCHW\", the data storage order of: \\[batch, in_channels, in_height, in_width\\]. |\n|------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n\n#### public [Conv2DBackpropInputV2.Options](/api_docs/java/org/tensorflow/op/core/Conv2DBackpropInputV2.Options)\n**dilations**\n(List\\\u003cLong\\\u003e dilations)\n\n\u003cbr /\u003e\n\n##### Parameters\n\n| dilations | 1-D tensor of length 4. The dilation factor for each dimension of \\`input\\`. If set to k \\\u003e 1, there will be k-1 skipped cells between each filter element on that dimension. The dimension order is determined by the value of \\`data_format\\`, see above for details. Dilations in the batch and depth dimensions must be 1. |\n|-----------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n\n#### public [Conv2DBackpropInputV2.Options](/api_docs/java/org/tensorflow/op/core/Conv2DBackpropInputV2.Options)\n**explicitPaddings**\n(List\\\u003cLong\\\u003e explicitPaddings)\n\n\u003cbr /\u003e\n\n##### Parameters\n\n| explicitPaddings | If \\`padding\\` is \\`\"EXPLICIT\"\\`, the list of explicit padding amounts. For the ith dimension, the amount of padding inserted before and after the dimension is \\`explicit_paddings\\[2 \\* i\\]\\` and \\`explicit_paddings\\[2 \\* i + 1\\]\\`, respectively. If \\`padding\\` is not \\`\"EXPLICIT\"\\`, \\`explicit_paddings\\` must be empty. |\n|------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n\n#### public [Conv2DBackpropInputV2.Options](/api_docs/java/org/tensorflow/op/core/Conv2DBackpropInputV2.Options)\n**useCudnnOnGpu**\n(Boolean useCudnnOnGpu)\n\n\u003cbr /\u003e"]]
