Nikolay Tyukaevanddomi2000
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>
55 lines
1.3 KiB
Markdown
55 lines
1.3 KiB
Markdown
## GRN <a name="GRN"></a> {#openvino_docs_ops_normalization_GRN_1}
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**Versioned name**: *GRN-1*
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**Category**: *Normalization*
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**Short description**: *GRN* is the Global Response Normalization with L2 norm (across channels only).
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**Detailed description**:
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*GRN* computes the L2 norm by channels for input tensor with shape `[N, C, ...]`. *GRN* does the following with the input tensor:
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output[i0, i1, ..., iN] = x[i0, i1, ..., iN] / sqrt(sum[j = 0..C-1](x[i0, j, ..., iN]**2) + bias)
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**Attributes**:
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* *bias*
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* **Description**: *bias* is added to the variance.
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* **Range of values**: a non-negative floating point value
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* **Type**: `float`
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* **Default value**: None
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* **Required**: *yes*
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**Inputs**
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* **1**: Input tensor with element of any floating point type and `2 <= rank <=4`. Required.
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**Outputs**
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* **1**: Output tensor of the same type and shape as the input tensor.
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**Example**
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```xml
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<layer id="5" name="normalization" type="GRN">
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<data bias="1e-4"/>
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<input>
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<port id="0">
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<dim>1</dim>
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<dim>20</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="0" precision="f32">
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<dim>1</dim>
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<dim>20</dim>
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<dim>224</dim>
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<dim>224</dim>
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</port>
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</output>
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</layer>
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``` |