Warning: This API is deprecated and will be removed in a future
version of TensorFlow after
the replacement is stable.
StridedSlice.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
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
Parameters
| beginMask |
a bitmask where a bit i being 1 means to ignore the begin
value and instead use the largest interval possible. At runtime
begin[i] will be replaced with `[0, n-1)` if `stride[i] > 0` or
`[-1, n-1]` if `stride[i] < 0`
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Parameters
| ellipsisMask |
a bitmask where bit `i` being 1 means the `i`th
position is actually an ellipsis. One bit at most can be 1.
If `ellipsis_mask == 0`, then an implicit ellipsis mask of `1 << (m+1)`
is provided. This means that `foo[3:5] == foo[3:5, ...]`. An ellipsis
implicitly creates as many range specifications as necessary to fully
specify the sliced range for every dimension. For example for a 4-dimensional
tensor `foo` the slice `foo[2, ..., 5:8]` implies `foo[2, :, :, 5:8]`.
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Parameters
| endMask |
analogous to `begin_mask`
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Parameters
| newAxisMask |
a bitmask where bit `i` being 1 means the `i`th
specification creates a new shape 1 dimension. For example
`foo[:4, tf.newaxis, :2]` would produce a shape `(4, 1, 2)` tensor.
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public
StridedSlice.Options
shrinkAxisMask
(Long shrinkAxisMask)
Parameters
| shrinkAxisMask |
a bitmask where bit `i` implies that the `i`th
specification should shrink the dimensionality. begin and end
must imply a slice of size 1 in the dimension. For example in
python one might do `foo[:, 3, :]` which would result in
`shrink_axis_mask` being 2.
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Last updated 2022-02-12 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 2022-02-12 UTC."],[],[],null,["# StridedSlice.Options\n\npublic static class **StridedSlice.Options** \nOptional attributes for [StridedSlice](/api_docs/java/org/tensorflow/op/core/StridedSlice) \n\n### Public Methods\n\n|------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------|\n| [StridedSlice.Options](/api_docs/java/org/tensorflow/op/core/StridedSlice.Options) | [beginMask](/api_docs/java/org/tensorflow/op/core/StridedSlice.Options#beginMask(java.lang.Long))(Long beginMask) |\n| [StridedSlice.Options](/api_docs/java/org/tensorflow/op/core/StridedSlice.Options) | [ellipsisMask](/api_docs/java/org/tensorflow/op/core/StridedSlice.Options#ellipsisMask(java.lang.Long))(Long ellipsisMask) |\n| [StridedSlice.Options](/api_docs/java/org/tensorflow/op/core/StridedSlice.Options) | [endMask](/api_docs/java/org/tensorflow/op/core/StridedSlice.Options#endMask(java.lang.Long))(Long endMask) |\n| [StridedSlice.Options](/api_docs/java/org/tensorflow/op/core/StridedSlice.Options) | [newAxisMask](/api_docs/java/org/tensorflow/op/core/StridedSlice.Options#newAxisMask(java.lang.Long))(Long newAxisMask) |\n| [StridedSlice.Options](/api_docs/java/org/tensorflow/op/core/StridedSlice.Options) | [shrinkAxisMask](/api_docs/java/org/tensorflow/op/core/StridedSlice.Options#shrinkAxisMask(java.lang.Long))(Long shrinkAxisMask) |\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 [StridedSlice.Options](/api_docs/java/org/tensorflow/op/core/StridedSlice.Options)\n**beginMask**\n(Long beginMask)\n\n\u003cbr /\u003e\n\n##### Parameters\n\n| beginMask | a bitmask where a bit i being 1 means to ignore the begin value and instead use the largest interval possible. At runtime begin\\[i\\] will be replaced with \\`\\[0, n-1)\\` if \\`stride\\[i\\] \\\u003e 0\\` or \\`\\[-1, n-1\\]\\` if \\`stride\\[i\\] \\\u003c 0\\` |\n|-----------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n\n#### public [StridedSlice.Options](/api_docs/java/org/tensorflow/op/core/StridedSlice.Options)\n**ellipsisMask**\n(Long ellipsisMask)\n\n\u003cbr /\u003e\n\n##### Parameters\n\n| ellipsisMask | a bitmask where bit \\`i\\` being 1 means the \\`i\\`th position is actually an ellipsis. One bit at most can be 1. If \\`ellipsis_mask == 0\\`, then an implicit ellipsis mask of \\`1 \\\u003c\\\u003c (m+1)\\` is provided. This means that \\`foo\\[3:5\\] == foo\\[3:5, ...\\]\\`. An ellipsis implicitly creates as many range specifications as necessary to fully specify the sliced range for every dimension. For example for a 4-dimensional tensor \\`foo\\` the slice \\`foo\\[2, ..., 5:8\\]\\` implies \\`foo\\[2, :, :, 5:8\\]\\`. |\n|--------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n\n#### public [StridedSlice.Options](/api_docs/java/org/tensorflow/op/core/StridedSlice.Options)\n**endMask**\n(Long endMask)\n\n\u003cbr /\u003e\n\n##### Parameters\n\n| endMask | analogous to \\`begin_mask\\` |\n|---------|-----------------------------|\n\n#### public [StridedSlice.Options](/api_docs/java/org/tensorflow/op/core/StridedSlice.Options)\n**newAxisMask**\n(Long newAxisMask)\n\n\u003cbr /\u003e\n\n##### Parameters\n\n| newAxisMask | a bitmask where bit \\`i\\` being 1 means the \\`i\\`th specification creates a new shape 1 dimension. For example \\`foo\\[:4, tf.newaxis, :2\\]\\` would produce a shape \\`(4, 1, 2)\\` tensor. |\n|-------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n\n#### public [StridedSlice.Options](/api_docs/java/org/tensorflow/op/core/StridedSlice.Options)\n**shrinkAxisMask**\n(Long shrinkAxisMask)\n\n\u003cbr /\u003e\n\n##### Parameters\n\n| shrinkAxisMask | a bitmask where bit \\`i\\` implies that the \\`i\\`th specification should shrink the dimensionality. begin and end must imply a slice of size 1 in the dimension. For example in python one might do \\`foo\\[:, 3, :\\]\\` which would result in \\`shrink_axis_mask\\` being 2. |\n|----------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|"]]
