* 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>
290 lines
11 KiB
JavaScript
290 lines
11 KiB
JavaScript
$(document).ready(function () {
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var chartBlock = $('.chart-block');
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chartBlock.each(function () {
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var url = $(this).data('loadcsv');
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Papa.parse(url, {
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download: true,
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complete: renderData($(this))
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})
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});
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function getLabels(data, ieType) {
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return data
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.filter((item) => item[1] === ieType)
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.map((item) => item[2]);
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}
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var CONFIG = {
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core: {
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throughput: {
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chartTitle: 'Throughput (higher is better)',
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datasets: [{ data: null, color: '#00C7FD', label: 'FPS (INT8)' }, { data: null, color: '#0068B5', label: 'FPS (FP32)' }],
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},
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latency: {
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chartTitle: 'Latency (lower is better)',
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datasets: [{ data: null, color: '#8F5DA2', label: 'Milliseconds' }],
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},
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value: {
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chartTitle: 'Value (higher is better)',
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datasets: [{ data: null, color: '#00C7FD', label: 'FPS/$ (INT8)' }],
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},
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efficiency: {
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chartTitle: 'Efficiency (higher is better)',
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datasets: [{ data: null, color: '#00C7FD', label: 'FPS/TDP (INT8)' }],
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}
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},
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atom: {
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throughput: {
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chartTitle: 'Throughput (higher is better)',
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datasets: [{ data: null, color: '#00C7FD', label: 'FPS (INT8)' }, { data: null, color: '#0068B5', label: 'FPS (FP32)' }],
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},
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latency: {
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chartTitle: 'Latency (lower is better)',
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datasets: [{ data: null, color: '#8F5DA2', label: 'Milliseconds' }],
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},
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value: {
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chartTitle: 'Value (higher is better)',
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datasets: [{ data: null, color: '#00C7FD', label: 'FPS/$ (INT8)' }],
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},
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efficiency: {
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chartTitle: 'Efficiency (higher is better)',
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datasets: [{ data: null, color: '#00C7FD', label: 'FPS/TDP (INT8)' }],
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}
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},
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xeon: {
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throughput: {
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chartTitle: 'Throughput (higher is better)',
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datasets: [{ data: null, color: '#00C7FD', label: 'FPS (INT8)' }, { data: null, color: '#0068B5', label: 'FPS (FP32)' }],
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},
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latency: {
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chartTitle: 'Latency (lower is better)',
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datasets: [{ data: null, color: '#8F5DA2', label: 'Milliseconds' }],
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},
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value: {
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chartTitle: 'Value (higher is better)',
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datasets: [{ data: null, color: '#00C7FD', label: 'FPS/$ (INT8)' }],
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},
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efficiency: {
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chartTitle: 'Efficiency (higher is better)',
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datasets: [{ data: null, color: '#00C7FD', label: 'FPS/TDP (INT8)' }],
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}
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},
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accel: {
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throughput: {
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chartTitle: 'Throughput (higher is better)',
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datasets: [{ data: null, color: '#8BAE46', label: 'FPS (FP16)' }],
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},
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latency: {
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chartTitle: 'Latency (lower is better)',
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datasets: [{ data: null, color: '#8F5DA2', label: 'Milliseconds' }],
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},
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value: {
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chartTitle: 'Value (higher is better)',
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datasets: [{ data: null, color: '#8BAE46', label: 'FPS (FP16)' }]
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},
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efficiency: {
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chartTitle: 'Efficiency (higher is better)',
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datasets: [{ data: null, color: '#8BAE46', label: 'FPS (FP16)' }]
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}
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}
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}
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var titleMapping = {
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core: '<h3>Intel® Core™</h3>',
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atom: '<h3>Intel® Atom®</h3>',
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xeon: '<h3>Intel® Xeon®</h3>',
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accel: '<h3>Intel® Movidius™ Vision Processing Units</h3>'
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}
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var labelsMapping = {
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core: null,
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atom: null,
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xeon: null,
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accel: null
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}
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function getDataByLabelsAndIndex(data, labels, pos) {
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return data.filter(item => labels.indexOf(item[2]) !== -1).map(item => parseFloat(item[pos]));
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}
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function getChartOptions(title, displayLabels) {
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return {
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responsive: false,
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maintainAspectRatio:false,
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legend: { display: true, position: 'bottom' },
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title: {
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display: true,
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text: title
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},
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scales: {
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xAxes: [{
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ticks: {
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beginAtZero: true
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}
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}],
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yAxes: [{
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ticks: {
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display: displayLabels, //this will remove only the label
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beginAtZero: true
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}
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}]
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},
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plugins: {
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datalabels: {
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color: "#4A4A4A",
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anchor: "end",
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align: "end",
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clamp: false,
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offset: 0,
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display: true,
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font: {
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size: 8,
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family: 'Roboto'
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}
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}
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}
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}
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}
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function getChartData(hwType, metric) {
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return {
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labels: labelsMapping[hwType],
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datasets: CONFIG[hwType][metric]['datasets'].map(function (item) {
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return {
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label: item.label,
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data: item.data,
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backgroundColor: item.color,
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borderColor: 'rgba(170,170,170,0)',
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barThickness: 12
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}
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})
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};
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}
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function renderData(currentChart) {
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return function (result) {
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var data = result.data;
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// remove col names
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data.shift(0);
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var hwTypes = Object.keys(CONFIG);
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var chartName = data[1][0];
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var chartSlug = chartName.replace(')', '').replace(' (', '-');
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var graphContainer = $('<div>');
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var chartContainer = $('<div>');
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graphContainer.attr('id', 'ov-graph-container-' + chartSlug);
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chartContainer.addClass('chart-container');
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chartContainer.addClass('container');
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hwTypes.forEach(function (hwType) {
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// add title
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var chartWrap = $('<div>');
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chartWrap.addClass('chart-wrap');
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chartWrap.addClass('container');
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chartContainer.append(chartWrap);
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var labels = getLabels(data, hwType);
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var int8Data = getDataByLabelsAndIndex(data, labels, 3);
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var fp32Data = getDataByLabelsAndIndex(data, labels, 4);
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var fp16Data = getDataByLabelsAndIndex(data, labels, 5);
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var valueData = getDataByLabelsAndIndex(data, labels, 6);
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var efficiencyData = getDataByLabelsAndIndex(data, labels, 7);
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var latencyData = getDataByLabelsAndIndex(data, labels, 8);
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labelsMapping[hwType] = labels
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if (hwType === 'accel') {
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CONFIG[hwType].throughput.datasets[0].data = fp16Data;
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}
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else {
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CONFIG[hwType].throughput.datasets[0].data = int8Data;
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CONFIG[hwType].throughput.datasets[1].data = fp32Data;
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}
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CONFIG[hwType].latency.datasets[0].data = latencyData;
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CONFIG[hwType].value.datasets[0].data = valueData;
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CONFIG[hwType].efficiency.datasets[0].data = efficiencyData;
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metrics = Object.keys(CONFIG[hwType]).filter((metric) => hasData(hwType, metric));
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var througputLatency = $('<div>');
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througputLatency.addClass('row');
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var efficiencyValue = $('<div>');
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efficiencyValue.addClass('row');
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chartWrap.append(througputLatency);
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chartWrap.append(efficiencyValue);
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var displayWidth = $(window).width();
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if (metrics.includes('throughput') && metrics.includes('latency')) {
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processMetric(hwType, 'throughput', througputLatency, 'col-md-8', true);
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if (displayWidth < 450) {
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processMetric(hwType, 'latency', througputLatency, 'col-md-4', true);
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}
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else {
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processMetric(hwType, 'latency', througputLatency, 'col-md-4', false);
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}
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}
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else if (metrics.includes('throughput')) {
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processMetric(hwType, 'throughput', througputLatency, 'col-md-12', true);
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}
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else if (metrics.includes('latency')) {
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processMetric(hwType, 'latency', througputLatency, 'col-md-12', true);
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}
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if (metrics.includes('efficiency') && metrics.includes('value')) {
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processMetric(hwType, 'efficiency', througputLatency, 'col-md-8', true);
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if (displayWidth < 450) {
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processMetric(hwType, 'value', througputLatency, 'col-md-4', true);
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}
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else {
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processMetric(hwType, 'value', througputLatency, 'col-md-4', false);
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}
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}
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else if (metrics.includes('efficiency')) {
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processMetric(hwType, 'efficiency', througputLatency, 'col-md-6', true);
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}
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else if (metrics.includes('value')) {
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processMetric(hwType, 'value', througputLatency, 'col-md-6', true);
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}
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})
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currentChart.append(chartContainer);
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}
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function processMetric(hwType, metric, container, widthClass, displayLabels) {
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var chart = $('<div>');
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chart.addClass('chart');
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chart.addClass(widthClass);
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chart.height(labelsMapping[hwType].length * 55 + 30);
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var canvas = $('<canvas>');
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chart.append(canvas);
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container.append(chart);
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var context = canvas.get(0).getContext('2d');
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context.canvas.height = labelsMapping[hwType].length * 55 + 30;
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if (widthClass === 'col-md-8') {
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context.canvas.width = context.canvas.width * 1.5;
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}
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else if(widthClass === 'col-md-12') {
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context.canvas.width = context.canvas.width * 2.5;
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}
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new Chart(context, {
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type: 'horizontalBar',
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data: getChartData(hwType, metric),
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options: getChartOptions(CONFIG[hwType][metric].chartTitle, displayLabels)
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});
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}
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function hasData(hwType, metric) {
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var has = false;
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CONFIG[hwType][metric]['datasets'].forEach(function (dataset) {
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for (var i = 0; i < dataset.data.length; i++) {
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if (dataset.data[i] > 0) {
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has = true;
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break;
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}
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}
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})
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return has;
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}
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}
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});
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