Warning: This API is deprecated and will be removed in a future
version of TensorFlow after
the replacement is stable.
Conv.Options
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Optional attributes for Conv
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
void
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wait(long arg0)
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final
void
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wait()
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Public Methods
public
Conv.Options
batchDims
(Long batchDims)
Parameters
| batchDims |
A positive integer specifying the number of batch dimensions for the input
tensor. Should be less than the rank of the input tensor.
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Parameters
| dataFormat |
Used to set the data format. By default `CHANNELS_FIRST`, uses
`NHWC (2D) / NDHWC (3D)` or if `CHANNELS_LAST`, uses `NCHW (2D) / NCDHW (3D)`.
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public
Conv.Options
dilations
(List<Long> dilations)
Parameters
| dilations |
1-D tensor of length `N+2`. 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 `channels_last_format`, see above for details. Dilations in the batch
and depth dimensions must be 1.
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public
Conv.Options
explicitPaddings
(List<Long> explicitPaddings)
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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public
Conv.Options
groups
(Long groups)
Parameters
| groups |
A positive integer specifying the number of groups in which the input is split
along the channel axis. Each group is convolved separately with
`filters / groups` filters. The output is the concatenation of all the groups
results along the channel axis. Input channels and filters must both be
divisible by groups.
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Last updated 2023-10-06 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 2023-10-06 UTC."],[],[],null,["# Conv.Options\n\npublic static class **Conv.Options** \nOptional attributes for [Conv](/api_docs/java/org/tensorflow/op/core/Conv) \n\n### Public Methods\n\n|--------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [Conv.Options](/api_docs/java/org/tensorflow/op/core/Conv.Options) | [batchDims](/api_docs/java/org/tensorflow/op/core/Conv.Options#batchDims(java.lang.Long))(Long batchDims) |\n| [Conv.Options](/api_docs/java/org/tensorflow/op/core/Conv.Options) | [dataFormat](/api_docs/java/org/tensorflow/op/core/Conv.Options#dataFormat(java.lang.String))(String dataFormat) |\n| [Conv.Options](/api_docs/java/org/tensorflow/op/core/Conv.Options) | [dilations](/api_docs/java/org/tensorflow/op/core/Conv.Options#dilations(java.util.List\u003cjava.lang.Long\u003e))(List\\\u003cLong\\\u003e dilations) |\n| [Conv.Options](/api_docs/java/org/tensorflow/op/core/Conv.Options) | [explicitPaddings](/api_docs/java/org/tensorflow/op/core/Conv.Options#explicitPaddings(java.util.List\u003cjava.lang.Long\u003e))(List\\\u003cLong\\\u003e explicitPaddings) |\n| [Conv.Options](/api_docs/java/org/tensorflow/op/core/Conv.Options) | [groups](/api_docs/java/org/tensorflow/op/core/Conv.Options#groups(java.lang.Long))(Long groups) |\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 [Conv.Options](/api_docs/java/org/tensorflow/op/core/Conv.Options)\n**batchDims**\n(Long batchDims)\n\n\u003cbr /\u003e\n\n##### Parameters\n\n| batchDims | A positive integer specifying the number of batch dimensions for the input tensor. Should be less than the rank of the input tensor. |\n|-----------|--------------------------------------------------------------------------------------------------------------------------------------|\n\n#### public [Conv.Options](/api_docs/java/org/tensorflow/op/core/Conv.Options)\n**dataFormat**\n(String dataFormat)\n\n\u003cbr /\u003e\n\n##### Parameters\n\n| dataFormat | Used to set the data format. By default \\`CHANNELS_FIRST\\`, uses \\`NHWC (2D) / NDHWC (3D)\\` or if \\`CHANNELS_LAST\\`, uses \\`NCHW (2D) / NCDHW (3D)\\`. |\n|------------|-------------------------------------------------------------------------------------------------------------------------------------------------------|\n\n#### public [Conv.Options](/api_docs/java/org/tensorflow/op/core/Conv.Options)\n**dilations**\n(List\\\u003cLong\\\u003e dilations)\n\n\u003cbr /\u003e\n\n##### Parameters\n\n| dilations | 1-D tensor of length \\`N+2\\`. 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 \\`channels_last_format\\`, see above for details. Dilations in the batch and depth dimensions must be 1. |\n|-----------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n\n#### public [Conv.Options](/api_docs/java/org/tensorflow/op/core/Conv.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 [Conv.Options](/api_docs/java/org/tensorflow/op/core/Conv.Options)\n**groups**\n(Long groups)\n\n\u003cbr /\u003e\n\n##### Parameters\n\n| groups | A positive integer specifying the number of groups in which the input is split along the channel axis. Each group is convolved separately with \\`filters / groups\\` filters. The output is the concatenation of all the groups results along the channel axis. Input channels and filters must both be divisible by groups. |\n|--------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|"]]
