NonZero¶

Versioned name : NonZero-3

Category : Condition

Short description : NonZero returns the indices of the non-zero elements of the input tensor.

Detailed description : NonZero returns the indices of the non-zero elements of the input tensor (in row-major order - by dimension).

The output tensor has shape [rank(input), num_non_zero].
For example, for the tensor [[1, 0], [1, 1]] the output will be [[0, 1, 1], [0, 0, 1]].
The output is a collection of tuples, each tuple has rank(input) elements and contains indices for a single non-zero element.
The i ‘th element of each output dimension is a part of i ‘th tuple.
In given example the tuples would be: [0, 0], [1, 0], [1, 1].

Attributes

output_type
- Description : the output tensor type
- Range of values : i64 or i32
- Type : string
- Default value : “i64”
- Required : no

Inputs :

1 : A tensor of type T and arbitrary shape. Required.

Outputs :

1 : tensor with indices of non-zero elements of shape [rank(data), num_non_zero] of type T_OUT.

Types

T : any type.
T_OUT : Depending on output_type attribute can be int64 or int32.

Example

<layer ... type="NonZero">
    <data output_type="i64"/>
    <input>
        <port id="0">
            <dim>3</dim>
            <dim>10</dim>
            <dim>100</dim>
            <dim>200</dim>
        </port>
     </input>
    <output>
        <port id="1">
            <dim>4</dim>
            <dim>600000</dim>
        </port>
    </output>
</layer>

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