Files
openvino/docs/_static/js/graphs.js
Andrey Zaytsev 4ae6258bed Feature/azaytsev/from 2021 4 (#9247)
* 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>
2021-12-21 20:26:37 +03:00

290 lines
11 KiB
JavaScript

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