ef45b5da8d
* Doc Migration from Gitlab (#1289) * doc migration * fix * Update FakeQuantize_1.md * Update performance_benchmarks.md * Updates graphs for FPGA * Update performance_benchmarks.md * Change DL Workbench structure (#1) * Changed DL Workbench structure * Fixed tags * fixes * Update ie_docs.xml * Update performance_benchmarks_faq.md * Fixes in DL Workbench layout * Fixes for CVS-31290 * [DL Workbench] Minor correction * Fix for CVS-30955 * Added nGraph deprecation notice as requested by Zoe * fix broken links in api doxy layouts * CVS-31131 fixes * Additional fixes * Fixed POT TOC * Update PAC_Configure.md PAC DCP 1.2.1 install guide. * Update inference_engine_intro.md * fix broken link * Update opset.md * fix * added opset4 to layout * added new opsets to layout, set labels for them * Update VisionAcceleratorFPGA_Configure.md Updated from 2020.3 to 2020.4 Co-authored-by: domi2000 <domi2000@users.noreply.github.com>
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1.3 KiB
NonZero
Versioned name: NonZero-3
Category: Condition operation
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]].
Attributes
-
output_type
- Description: the output tensor type
- Range of values: "i64" or "i32"
- Type: string
- Default value: "i64"
- Required: No
Inputs:
- 1:
datatensor of arbitrary rank of type T. Required.
Outputs:
- 1: tensor with indices of non-zero elements of shape
[rank(data), num_non_zero]of type T_IND.
Types
-
T: any numeric type.
-
T_IND:
int64orint32.
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>