* 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>
4.3 KiB
ScatterUpdate
Versioned name: ScatterUpdate-3
Category: Data movement
Short description: ScatterUpdate creates a copy of the first input tensor with updated elements specified with second and third input tensors.
Detailed description: ScatterUpdate creates a copy of the first input tensor with updated elements in positions specified with indices input
and values specified with updates tensor starting from the dimension with index axis. For the data tensor of shape \f$[d_0,;d_1,;\dots,;d_n]\f$,
indices tensor of shape \f$[i_0,;i_1,;\dots,;i_k]\f$ and updates tensor of shape
\f$[d_0,;d_1,;\dots,;d_{axis - 1},;i_0,;i_1,;\dots,;i_k,;d_{axis + 1},;\dots, d_n]\f$ the operation computes
for each m, n, ..., p of the indices tensor indices:
\f[data[\dots,;indices[m,;n,;\dots,;p],;\dots] = updates[\dots,;m,;n,;\dots,;p,;\dots]\f]
where first \f$\dots\f$ in the data corresponds to \f$[d_0,;\dots,;d_{axis - 1}]\f$ dimensions, last\f$\dots\f$ in the data corresponds to the
rank(data) - (axis + 1) dimensions.
Several examples for case when axis = 0:
indicesis a \f$0\f$D tensor: \f$data[indices,;\dots] = updates[\dots]\f$indicesis a \f$1\f$D tensor (\f$\forall_{i}\f$): \f$data[indices[i],;\dots] = updates[i,;\dots]\f$indicesis a \f$N\f$D tensor (\f$\forall_{i,;\dots,;j}\f$): \f$data[indices[i],;\dots,;j],;\dots] = updates[i,;\dots,;j,;\dots]\f$
Attributes: ScatterUpdate does not have attributes.
Inputs:
-
1:
datatensor of arbitrary rankrand type T_NUMERIC. Required. -
2:
indicestensor with indices of type T_IND. All index values are expected to be within bounds[0, s - 1]along the axis of sizes. If multiple indices point to the same output location, the order of updating the values is undefined. If an index points to a non-existing output tensor element or is negative, then an exception is raised. Required. -
3:
updatestensor of type T_NUMERIC and rank equal torank(indices) + rank(data) - 1Required. -
4:
axistensor with scalar or 1D tensor with one element of type T_AXIS specifying axis for scatter. The value can be in the range[ -r, r - 1], whereris the rank ofdata. Required.
Outputs:
- 1: tensor with shape equal to
datatensor of the type T_NUMERIC.
Types
-
T_NUMERIC: any numeric type.
-
T_IND: any supported integer types.
-
T_AXIS: any supported integer types.
Examples
Example 1
<layer ... type="ScatterUpdate">
<input>
<port id="0"> <!-- data -->
<dim>1000</dim>
<dim>256</dim>
<dim>10</dim>
<dim>15</dim>
</port>
<port id="1"> <!-- indices -->
<dim>125</dim>
<dim>20</dim>
</port>
<port id="2"> <!-- udpates -->
<dim>1000</dim>
<dim>125</dim>
<dim>20</dim>
<dim>10</dim>
<dim>15</dim>
</port>
<port id="3"> <!-- axis -->
<dim>1</dim> <!-- value [1] -->
</port>
</input>
<output>
<port id="4" precision="FP32"> <!-- output -->
<dim>1000</dim>
<dim>256</dim>
<dim>10</dim>
<dim>15</dim>
</port>
</output>
</layer>
Example 2
<layer ... type="ScatterUpdate">
<input>
<port id="0"> <!-- data -->
<dim>3</dim> <!-- {{-1.0f, 1.0f, -1.0f, 3.0f, 4.0f}, -->
<dim>5</dim> <!-- {-1.0f, 6.0f, -1.0f, 8.0f, 9.0f}, -->
</port> <!-- {-1.0f, 11.0f, 1.0f, 13.0f, 14.0f}} -->
<port id="1"> <!-- indices -->
<dim>2</dim> <!-- {0, 2} -->
</port>
<port id="2"> <!-- udpates -->
<dim>3</dim> <!-- {1.0f, 1.0f} -->
<dim>2</dim> <!-- {1.0f, 1.0f} -->
</port> <!-- {1.0f, 2.0f} -->
<port id="3"> <!-- axis -->
<dim>1</dim> <!-- {1} -->
</port>
</input>
<output>
<port id="4"> <!-- output -->
<dim>3</dim> <!-- {{1.0f, 1.0f, 1.0f, 3.0f, 4.0f}, -->
<dim>5</dim> <!-- {1.0f, 6.0f, 1.0f, 8.0f, 9.0f}, -->
</port> <!-- {1.0f, 11.0f, 2.0f, 13.0f, 14.0f}} -->
</output>
</layer>