* Added info on DockerHub CI Framework
* Feature/azaytsev/change layout (#3295)
* Changes according to feedback comments
* Replaced @ref's with html links
* Fixed links, added a title page for installing from repos and images, fixed formatting issues
* Added links
* minor fix
* Added DL Streamer to the list of components installed by default
* Link fixes
* Link fixes
* ovms doc fix (#2988)
* added OpenVINO Model Server
* ovms doc fixes
Co-authored-by: Trawinski, Dariusz <dariusz.trawinski@intel.com>
* Updated openvino_docs.xml
* Updated the link to software license agreements
* Revert "Updated the link to software license agreements"
This reverts commit 706dac500e.
* Docs to Sphinx (#8151)
* docs to sphinx
* Update GPU.md
* Update CPU.md
* Update AUTO.md
* Update performance_int8_vs_fp32.md
* update
* update md
* updates
* disable doc ci
* disable ci
* fix index.rst
Co-authored-by: Andrey Zaytsev <andrey.zaytsev@intel.com>
# Conflicts:
# .gitignore
# docs/CMakeLists.txt
# docs/IE_DG/Deep_Learning_Inference_Engine_DevGuide.md
# docs/IE_DG/Extensibility_DG/Custom_ONNX_Ops.md
# docs/IE_DG/Extensibility_DG/VPU_Kernel.md
# docs/IE_DG/InferenceEngine_QueryAPI.md
# docs/IE_DG/Int8Inference.md
# docs/IE_DG/Integrate_with_customer_application_new_API.md
# docs/IE_DG/Model_caching_overview.md
# docs/IE_DG/supported_plugins/GPU_RemoteBlob_API.md
# docs/IE_DG/supported_plugins/HETERO.md
# docs/IE_DG/supported_plugins/MULTI.md
# docs/MO_DG/prepare_model/convert_model/Convert_Model_From_Caffe.md
# docs/MO_DG/prepare_model/convert_model/Convert_Model_From_Kaldi.md
# docs/MO_DG/prepare_model/convert_model/Convert_Model_From_MxNet.md
# docs/MO_DG/prepare_model/convert_model/Convert_Model_From_ONNX.md
# docs/MO_DG/prepare_model/convert_model/Converting_Model.md
# docs/MO_DG/prepare_model/convert_model/Converting_Model_General.md
# docs/MO_DG/prepare_model/convert_model/Cutting_Model.md
# docs/MO_DG/prepare_model/convert_model/pytorch_specific/Convert_RNNT.md
# docs/MO_DG/prepare_model/convert_model/tf_specific/Convert_EfficientDet_Models.md
# docs/MO_DG/prepare_model/convert_model/tf_specific/Convert_WideAndDeep_Family_Models.md
# docs/MO_DG/prepare_model/convert_model/tf_specific/Convert_YOLO_From_Tensorflow.md
# docs/doxygen/Doxyfile.config
# docs/doxygen/ie_docs.xml
# docs/doxygen/ie_plugin_api.config
# docs/doxygen/ngraph_cpp_api.config
# docs/doxygen/openvino_docs.xml
# docs/get_started/get_started_macos.md
# docs/get_started/get_started_raspbian.md
# docs/get_started/get_started_windows.md
# docs/img/cpu_int8_flow.png
# docs/index.md
# docs/install_guides/VisionAcceleratorFPGA_Configure.md
# docs/install_guides/VisionAcceleratorFPGA_Configure_Windows.md
# docs/install_guides/deployment-manager-tool.md
# docs/install_guides/installing-openvino-linux.md
# docs/install_guides/installing-openvino-macos.md
# docs/install_guides/installing-openvino-windows.md
# docs/optimization_guide/dldt_optimization_guide.md
# inference-engine/ie_bridges/c/include/c_api/ie_c_api.h
# inference-engine/ie_bridges/python/docs/api_overview.md
# inference-engine/ie_bridges/python/sample/ngraph_function_creation_sample/README.md
# inference-engine/ie_bridges/python/sample/speech_sample/README.md
# inference-engine/ie_bridges/python/src/openvino/inference_engine/ie_api.pyx
# inference-engine/include/ie_api.h
# inference-engine/include/ie_core.hpp
# inference-engine/include/ie_version.hpp
# inference-engine/samples/benchmark_app/README.md
# inference-engine/samples/speech_sample/README.md
# inference-engine/src/plugin_api/exec_graph_info.hpp
# inference-engine/src/plugin_api/file_utils.h
# inference-engine/src/transformations/include/transformations_visibility.hpp
# inference-engine/tools/benchmark_tool/README.md
# ngraph/core/include/ngraph/ngraph.hpp
# ngraph/frontend/onnx_common/include/onnx_common/parser.hpp
# ngraph/python/src/ngraph/utils/node_factory.py
# openvino/itt/include/openvino/itt.hpp
# thirdparty/ade
# tools/benchmark/README.md
* Cherry-picked remove font-family (#8211)
* Cherry-picked: Update get_started_scripts.md (#8338)
* doc updates (#8268)
* Various doc changes
* theme changes
* remove font-family (#8211)
* fix css
* Update uninstalling-openvino.md
* fix css
* fix
* Fixes for Installation Guides
Co-authored-by: Andrey Zaytsev <andrey.zaytsev@intel.com>
Co-authored-by: kblaszczak-intel <karol.blaszczak@intel.com>
# Conflicts:
# docs/IE_DG/Bfloat16Inference.md
# docs/IE_DG/InferenceEngine_QueryAPI.md
# docs/IE_DG/OnnxImporterTutorial.md
# docs/IE_DG/supported_plugins/AUTO.md
# docs/IE_DG/supported_plugins/HETERO.md
# docs/IE_DG/supported_plugins/MULTI.md
# docs/MO_DG/prepare_model/convert_model/Convert_Model_From_Kaldi.md
# docs/MO_DG/prepare_model/convert_model/tf_specific/Convert_YOLO_From_Tensorflow.md
# docs/install_guides/installing-openvino-macos.md
# docs/install_guides/installing-openvino-windows.md
# docs/ops/opset.md
# inference-engine/samples/benchmark_app/README.md
# inference-engine/tools/benchmark_tool/README.md
# thirdparty/ade
* Cherry-picked: doc script changes (#8568)
* fix openvino-sphinx-theme
* add linkcheck target
* fix
* change version
* add doxygen-xfail.txt
* fix
* AA
* fix
* fix
* fix
* fix
* fix
# Conflicts:
# thirdparty/ade
* Cherry-pick: Feature/azaytsev/doc updates gna 2021 4 2 (#8567)
* Various doc changes
* Reformatted C++/Pythob sections. Updated with info from PR8490
* additional fix
* Gemini Lake replaced with Elkhart Lake
* Fixed links in IGs, Added 12th Gen
# Conflicts:
# docs/IE_DG/supported_plugins/GNA.md
# thirdparty/ade
* Cherry-pick: Feature/azaytsev/doc fixes (#8897)
* Various doc changes
* Removed the empty Learning path topic
* Restored the Gemini Lake CPIU list
# Conflicts:
# docs/IE_DG/supported_plugins/GNA.md
# thirdparty/ade
* Cherry-pick: sphinx copybutton doxyrest code blocks (#8992)
# Conflicts:
# thirdparty/ade
* Cherry-pick: iframe video enable fullscreen (#9041)
# Conflicts:
# thirdparty/ade
* Cherry-pick: fix untitled titles (#9213)
# Conflicts:
# thirdparty/ade
* Cherry-pick: perf bench graph animation (#9045)
* animation
* fix
# Conflicts:
# thirdparty/ade
* Cherry-pick: doc pytest (#8888)
* docs pytest
* fixes
# Conflicts:
# docs/doxygen/doxygen-ignore.txt
# docs/scripts/ie_docs.xml
# thirdparty/ade
* Cherry-pick: restore deleted files (#9215)
* Added new operations to the doc structure (from removed ie_docs.xml)
* Additional fixes
* Update docs/IE_DG/InferenceEngine_QueryAPI.md
Co-authored-by: Helena Kloosterman <helena.kloosterman@intel.com>
* Update docs/IE_DG/Int8Inference.md
Co-authored-by: Helena Kloosterman <helena.kloosterman@intel.com>
* Update Custom_Layers_Guide.md
* Changes according to review comments
* doc scripts fixes
* Update docs/IE_DG/Int8Inference.md
Co-authored-by: Helena Kloosterman <helena.kloosterman@intel.com>
* Update Int8Inference.md
* update xfail
* clang format
* updated xfail
Co-authored-by: Trawinski, Dariusz <dariusz.trawinski@intel.com>
Co-authored-by: Nikolay Tyukaev <nikolay.tyukaev@intel.com>
Co-authored-by: kblaszczak-intel <karol.blaszczak@intel.com>
Co-authored-by: Yury Gorbachev <yury.gorbachev@intel.com>
Co-authored-by: Helena Kloosterman <helena.kloosterman@intel.com>
2.7 KiB
Select
Versioned name: Select-1
Category: Condition
Short description: Select returns a tensor filled with the elements from the second or the third inputs, depending on the condition (the first input) value.
Detailed description
Select takes elements from then input tensor or the else input tensor based on a condition mask
provided in the first input cond. Before performing selection, input tensors then and else are broadcasted to each other if their shapes are different and auto_broadcast attributes is not none. Then the cond tensor is one-way broadcasted to the resulting shape of broadcasted then and else. Broadcasting is performed according to auto_broadcast value.
Attributes
-
auto_broadcast
- Description: specifies rules used for auto-broadcasting of input tensors.
- Range of values:
- none - no auto-broadcasting is allowed, all input shapes must match
- numpy - numpy broadcasting rules, description is available in Broadcast Rules For Elementwise Operations
- pdpd - PaddlePaddle-style implicit broadcasting, description is available in Broadcast Rules For Elementwise Operations
- Type:
string - Default value: "numpy"
- Required: no
Inputs:
-
1:
cond- tensor of type T_COND and arbitrary shape with selection mask. Required. -
2:
then- tensor of type T and arbitrary shape with elements to take where the corresponding element incondistrue. Required. -
3:
else- tensor of type T and arbitrary shape with elements to take where the corresponding element incondisfalse. Required.
Outputs:
- 1: blended output tensor that is tailored from values of inputs tensors
thenandelsebased oncondand broadcasting rules. It has the same type of elements asthenandelse.
Types
- T_COND:
booleantype. - T: any supported numeric type.
Example
<layer ... type="Select">
<input>
<port id="0"> <!-- cond value is: [[false, false], [true, false], [true, true]] -->
<dim>3</dim>
<dim>2</dim>
</port>
<port id="1"> <!-- then value is: [[-1, 0], [1, 2], [3, 4]] -->
<dim>3</dim>
<dim>2</dim>
</port>
<port id="2"> <!-- else value is: [[11, 10], [9, 8], [7, 6]] -->
<dim>3</dim>
<dim>2</dim>
</port>
</input>
<output>
<port id="1"> <!-- output value is: [[11, 10], [1, 8], [3, 4]] -->
<dim>3</dim>
<dim>2</dim>
</port>
</output>
</layer>