* 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>
52 lines
1.1 KiB
Markdown
52 lines
1.1 KiB
Markdown
## ShapeOf <a name="ShapeOf"></a> {#openvino_docs_ops_shape_ShapeOf_3}
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**Versioned name**: *ShapeOf-3*
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**Category**: Shape manipulation
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**Short description**: *ShapeOf* produces 1D tensor with the input tensor shape.
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**Attributes**:
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* *output_type*
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* **Description**: the output tensor type
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* **Range of values**: "i64" or "i32"
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* **Type**: string
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* **Default value**: "i64"
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* **Required**: *No*
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**Inputs**:
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* **1**: Arbitrary input tensor of type *T*. Required.
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**Outputs**:
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* **1**: 1D tensor that is equal to input tensor shape of type *T_IND*. Number of elements is equal to input tensor rank. Can be empty 1D tensor if input tensor is a scalar, that mean 0-dimensional tensor.
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**Types**
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* *T*: any numeric type.
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* *T_IND*: `int64` or `int32`.
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**Example**
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```xml
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<layer ... type="ShapeOf">
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<data output_type="i64"/>
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<input>
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<port id="0">
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<dim>2</dim>
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<dim>3</dim>
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<dim>224</dim>
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<dim>224</dim>
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</port>
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</input>
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<output>
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<port id="1"> <!-- output value is: [2,3,224,224]-->
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<dim>4</dim>
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</port>
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</output>
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</layer>
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``` |