Versioned name: StridedSlice-1
Category: Data movement operation
Short description: StridedSlice extracts a strided slice of a tensor. It is similar to generalized array indexing in Python*.
Attributes
- begin_mask
- Description: begin_mask is a bit mask. begin_mask[i] equal to 1 means that the corresponding dimension of the
begin
input is ignored and the 'real' beginning of the tensor is used along corresponding dimension.
- Range of values: a list of
0
s and 1
s
- Type:
int[]
- Default value: None
- Required: yes
- end_mask
- Description: end_mask is a bit mask. If end_mask[i] is 1, the corresponding dimension of the
end
input is ignored and the real 'end' of the tensor is used along corresponding dimension.
- Range of values: a list of
0
s and 1
s
- Type:
int[]
- Default value: None
- Required: yes
- new_axis_mask
- Description: new_axis_mask is a bit mask. If new_axis_mask[i] is 1, a length 1 dimension is inserted on the
i
-th position of input tensor.
- Range of values: a list of
0
s and 1
s
- Type:
int[]
- Default value:
[0]
- Required: no
- shrink_axis_mask
- Description: shrink_axis_mask is a bit mask. If shrink_axis_mask[i] is 1, the dimension on the
i
-th position is deleted.
- Range of values: a list of
0
s and 1
s
- Type:
int[]
- Default value:
[0]
- Required: no
- ellipsis_mask
- Description: ellipsis_mask is a bit mask. It inserts missing dimensions on a position of a non-zero bit.
- Range of values: a list of
0
s and 1
. Only one non-zero bit is allowed.
- Type:
int[]
- Default value:
[0]
- Required: no
Inputs:
- 1: Multidimensional input tensor to be sliced. Required.
- 2:
begin
input - 1D input tensor with begin indexes for input tensor slicing. Required. Out-of-bounds values are silently clamped. If begin_mask[i]
is 1, the value of begin[i]
is ignored and the range of the appropriate dimension starts from 0. Negative values mean indexing starts from the end. For example, if foo=[1,2,3]
, begin[0]=-1
means begin[0]=3
.
- 3:
end
input - 1D input tensor with end indexes for input tensor slicing. Required. Out-of-bounds values will be silently clamped. If end_mask[i]
is 1, the value of end[i]
is ignored and the full range of the appropriate dimension is used instead. Negative values mean indexing starts from the end. For example, if foo=[1,2,3]
, end[0]=-1
means end[0]=3
.
- 4:
stride
input - 1D input tensor with strides. Optional.
Example
<layer ... type="StridedSlice" ...>
<data begin_mask="1,0,1,1,1" ellipsis_mask="0,0,0,0,0" end_mask="1,0,1,1,1" new_axis_mask="0,0,0,0,0" shrink_axis_mask="0,1,0,0,0"/>
<input>
<port id="0">
<dim>1</dim>
<dim>2</dim>
<dim>384</dim>
<dim>640</dim>
<dim>8</dim>
</port>
<port id="1">
<dim>5</dim>
</port>
<port id="2">
<dim>5</dim>
</port>
<port id="3">
<dim>5</dim>
</port>
</input>
<output>
<port id="4">
<dim>1</dim>
<dim>384</dim>
<dim>640</dim>
<dim>8</dim>
</port>
</output>
</layer>