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StridedSlice

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>

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