#include <array_ops.h>
Optional attribute setters for StridedSlice.
| Public attributes | |
|---|---|
begin_mask_ = 0 | int64 |
ellipsis_mask_ = 0 | int64 |
end_mask_ = 0 | int64 |
new_axis_mask_ = 0 | int64 |
shrink_axis_mask_ = 0 | int64 |
| Public functions | |
|---|---|
BeginMask(int64 x) | TF_MUST_USE_RESULT Attrs a bitmask where a bit i being 1 means to ignore the begin value and instead use the largest interval possible. |
EllipsisMask(int64 x) | TF_MUST_USE_RESULT Attrs a bitmask where bit i being 1 means the ith position is actually an ellipsis. |
EndMask(int64 x) | TF_MUST_USE_RESULT Attrs analogous to begin_mask
|
NewAxisMask(int64 x) | TF_MUST_USE_RESULT Attrs a bitmask where bit i being 1 means the ith specification creates a new shape 1 dimension. |
ShrinkAxisMask(int64 x) | TF_MUST_USE_RESULT Attrs a bitmask where bit i implies that the ith specification should shrink the dimensionality. |
int64 tensorflow::ops::StridedSlice::Attrs::begin_mask_ = 0
int64 tensorflow::ops::StridedSlice::Attrs::ellipsis_mask_ = 0
int64 tensorflow::ops::StridedSlice::Attrs::end_mask_ = 0
int64 tensorflow::ops::StridedSlice::Attrs::new_axis_mask_ = 0
int64 tensorflow::ops::StridedSlice::Attrs::shrink_axis_mask_ = 0
TF_MUST_USE_RESULT Attrs tensorflow::ops::StridedSlice::Attrs::BeginMask( int64 x )
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) ifstride[i] > 0or [-1, n-1]ifstride[i] < 0`
Defaults to 0
TF_MUST_USE_RESULT Attrs tensorflow::ops::StridedSlice::Attrs::EllipsisMask( int64 x )
a bitmask where bit i being 1 means the ith 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].
Defaults to 0
TF_MUST_USE_RESULT Attrs tensorflow::ops::StridedSlice::Attrs::EndMask( int64 x )
analogous to begin_mask
Defaults to 0
TF_MUST_USE_RESULT Attrs tensorflow::ops::StridedSlice::Attrs::NewAxisMask( int64 x )
a bitmask where bit i being 1 means the ith specification creates a new shape 1 dimension.
For example foo[:4, tf.newaxis, :2] would produce a shape (4, 1, 2) tensor.
Defaults to 0
TF_MUST_USE_RESULT Attrs tensorflow::ops::StridedSlice::Attrs::ShrinkAxisMask( int64 x )
a bitmask where bit i implies that the ith 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.
Defaults to 0
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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/cc/struct/tensorflow/ops/strided-slice/attrs.html