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Unverified Commit 754b0043 authored by Yuge Zhang's avatar Yuge Zhang Committed by GitHub
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Add WebUI mock server and improve hyper-parameter parallel coordinates chart (#2691)

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docs/en_US/Tutorial/SetupNniDeveloperEnvironment.md
View file @ 754b0043
......@@ -48,7 +48,8 @@ Nothing to do, the code is already linked to package folders.
#### TypeScript
* If `src/nni_manager` is changed, run `yarn watch` under this folder. It will watch and build code continually. The `nnictl` need to be restarted to reload NNI manager.
* If `src/webui` or `src/nasui` are changed, run `yarn start` under the corresponding folder. The web UI will refresh automatically if code is changed.
* If `src/webui` is changed, run `yarn dev`, which will run a mock API server and a webpack dev server simultaneously. Use `EXPERIMENT` environment variable (e.g., `mnist-tfv1-running`) to specify the mock data being used. Built-in mock experiments are listed in `src/webui/mock`. An example of the full command is `EXPERIMENT=mnist-tfv1-running yarn dev`.
* If `src/nasui` is changed, run `yarn start` under the corresponding folder. The web UI will refresh automatically if code is changed. There is also a mock API server that is useful when developing. It can be launched via `node server.js`.
### 5. Submit Pull Request
......
src/webui/config/webpackDevServer.config.js
View file @ 754b0043
......@@ -28,8 +28,7 @@ module.exports = function(proxy, allowedHost) {
// So we will disable the host check normally, but enable it if you have
// specified the `proxy` setting. Finally, we let you override it if you
// really know what you're doing with a special environment variable.
disableHostCheck:
!proxy || process.env.DANGEROUSLY_DISABLE_HOST_CHECK === 'true',
disableHostCheck: true,
// Enable gzip compression of generated files.
compress: true,
// Silence WebpackDevServer's own logs since they're generally not useful.
......
src/webui/mock/dict-metrics-100.json 0 → 100644
View file @ 754b0043
{
"checkStatus": {
"status": "DONE",
"errors": []
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src/webui/mock/mnist-tfv1-nested.json 0 → 100644
View file @ 754b0043
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src/webui/mock/mnist-tfv1-running.json 0 → 100644
View file @ 754b0043
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src/webui/mock/mnist-tfv2-stage0.json 0 → 100644
View file @ 754b0043
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src/webui/mock/mnist-tfv2-stage1.json 0 → 100644
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src/webui/mock/mnist-tfv2-stage2.json 0 → 100644
View file @ 754b0043
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"timestamp": 1595497736274,
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"parameterId": "8",
"type": "FINAL",
"sequence": 0,
"data": "\"0.10090000182390213\""
},
{
"timestamp": 1595497757301,
"trialJobId": "SzWAE",
"parameterId": "9",
"type": "PERIODICAL",
"sequence": 0,
"data": "\"0.0957999974489212\""
},
{
"timestamp": 1595497762181,
"trialJobId": "SzWAE",
"parameterId": "9",
"type": "PERIODICAL",
"sequence": 1,
"data": "\"0.09799999743700027\""
},
{
"timestamp": 1595497767233,
"trialJobId": "SzWAE",
"parameterId": "9",
"type": "PERIODICAL",
"sequence": 2,
"data": "\"0.11349999904632568\""
},
{
"timestamp": 1595497772307,
"trialJobId": "SzWAE",
"parameterId": "9",
"type": "PERIODICAL",
"sequence": 3,
"data": "\"0.09740000218153\""
},
{
"timestamp": 1595497777102,
"trialJobId": "SzWAE",
"parameterId": "9",
"type": "PERIODICAL",
"sequence": 4,
"data": "\"0.11349999904632568\""
},
{
"timestamp": 1595497782132,
"trialJobId": "SzWAE",
"parameterId": "9",
"type": "PERIODICAL",
"sequence": 5,
"data": "\"0.11349999904632568\""
},
{
"timestamp": 1595497786911,
"trialJobId": "SzWAE",
"parameterId": "9",
"type": "PERIODICAL",
"sequence": 6,
"data": "\"0.10090000182390213\""
},
{
"timestamp": 1595497791889,
"trialJobId": "SzWAE",
"parameterId": "9",
"type": "PERIODICAL",
"sequence": 7,
"data": "\"0.10100000351667404\""
},
{
"timestamp": 1595497796863,
"trialJobId": "SzWAE",
"parameterId": "9",
"type": "PERIODICAL",
"sequence": 8,
"data": "\"0.09740000218153\""
},
{
"timestamp": 1595497801524,
"trialJobId": "SzWAE",
"parameterId": "9",
"type": "PERIODICAL",
"sequence": 9,
"data": "\"0.10100000351667404\""
},
{
"timestamp": 1595497802428,
"trialJobId": "SzWAE",
"parameterId": "9",
"type": "FINAL",
"sequence": 0,
"data": "\"0.10100000351667404\""
}
],
"trialJobs": [
{
"id": "Fp0Hv",
"status": "FAILED",
"hyperParameters": [
"{\"parameter_id\":0,\"parameter_source\":\"algorithm\",\"parameters\":{\"dropout_rate\":0.8491269523482741,\"conv_size\":3,\"hidden_size\":512,\"batch_size\":16,\"learning_rate\":0.0001},\"parameter_index\":0}"
],
"logPath": "file://localhost:/***/nni/experiments/mw3lSbde/trials/Fp0Hv",
"startTime": 1595497487135,
"sequenceId": 0,
"endTime": 1595497495839,
"stderrPath": "file:/localhost:/***/nni/experiments/mw3lSbde/trials/Fp0Hv/stderr"
},
{
"id": "Av8d8",
"status": "FAILED",
"hyperParameters": [
"{\"parameter_id\":1,\"parameter_source\":\"algorithm\",\"parameters\":{\"dropout_rate\":0.8539541491194952,\"conv_size\":2,\"hidden_size\":512,\"batch_size\":32,\"learning_rate\":0.001},\"parameter_index\":0}"
],
"logPath": "file://localhost:/***/nni/experiments/mw3lSbde/trials/Av8d8",
"startTime": 1595497502178,
"sequenceId": 1,
"endTime": 1595497506253,
"stderrPath": "file:/localhost:/***/nni/experiments/mw3lSbde/trials/Av8d8/stderr"
},
{
"id": "UBdDZ",
"status": "FAILED",
"hyperParameters": [
"{\"parameter_id\":2,\"parameter_source\":\"algorithm\",\"parameters\":{\"dropout_rate\":0.5582646378949779,\"conv_size\":2,\"hidden_size\":124,\"batch_size\":32,\"learning_rate\":0.001},\"parameter_index\":0}"
],
"logPath": "file://localhost:/***/nni/experiments/mw3lSbde/trials/UBdDZ",
"startTime": 1595497512215,
"sequenceId": 2,
"endTime": 1595497516419,
"stderrPath": "file:/localhost:/***/nni/experiments/mw3lSbde/trials/UBdDZ/stderr"
},
{
"id": "JCGDm",
"status": "FAILED",
"hyperParameters": [
"{\"parameter_id\":3,\"parameter_source\":\"algorithm\",\"parameters\":{\"dropout_rate\":0.8554138616916818,\"conv_size\":5,\"hidden_size\":512,\"batch_size\":32,\"learning_rate\":0.001},\"parameter_index\":0}"
],
"logPath": "file://localhost:/***/nni/experiments/mw3lSbde/trials/JCGDm",
"startTime": 1595497522257,
"sequenceId": 3,
"endTime": 1595497525974,
"stderrPath": "file:/localhost:/***/nni/experiments/mw3lSbde/trials/JCGDm/stderr"
},
{
"id": "Q5P5S",
"status": "FAILED",
"hyperParameters": [
"{\"parameter_id\":4,\"parameter_source\":\"algorithm\",\"parameters\":{\"dropout_rate\":0.8034070529122488,\"conv_size\":3,\"hidden_size\":512,\"batch_size\":16,\"learning_rate\":0.001},\"parameter_index\":0}"
],
"logPath": "file://localhost:/***/nni/experiments/mw3lSbde/trials/Q5P5S",
"startTime": 1595497532284,
"sequenceId": 4,
"endTime": 1595497536707,
"stderrPath": "file:/localhost:/***/nni/experiments/mw3lSbde/trials/Q5P5S/stderr"
},
{
"id": "SdVuE",
"status": "FAILED",
"hyperParameters": [
"{\"parameter_id\":5,\"parameter_source\":\"algorithm\",\"parameters\":{\"dropout_rate\":0.7600193252661556,\"conv_size\":3,\"hidden_size\":124,\"batch_size\":16,\"learning_rate\":0.01},\"parameter_index\":0}"
],
"logPath": "file://localhost:/***/nni/experiments/mw3lSbde/trials/SdVuE",
"startTime": 1595497542331,
"sequenceId": 5,
"endTime": 1595497546968,
"stderrPath": "file:/localhost:/***/nni/experiments/mw3lSbde/trials/SdVuE/stderr"
},
{
"id": "CkUem",
"status": "FAILED",
"hyperParameters": [
"{\"parameter_id\":6,\"parameter_source\":\"algorithm\",\"parameters\":{\"dropout_rate\":0.7934026748060359,\"conv_size\":2,\"hidden_size\":512,\"batch_size\":32,\"learning_rate\":0.001},\"parameter_index\":0}"
],
"logPath": "file://localhost:/***/nni/experiments/mw3lSbde/trials/CkUem",
"startTime": 1595497552398,
"sequenceId": 6,
"endTime": 1595497556691,
"stderrPath": "file:/localhost:/***/nni/experiments/mw3lSbde/trials/CkUem/stderr"
},
{
"id": "j4kNL",
"status": "SUCCEEDED",
"hyperParameters": [
"{\"parameter_id\":7,\"parameter_source\":\"algorithm\",\"parameters\":{\"dropout_rate\":0.6587033143176787,\"conv_size\":3,\"hidden_size\":1024,\"batch_size\":32,\"learning_rate\":0.01},\"parameter_index\":0}"
],
"logPath": "file://localhost:/***/nni/experiments/mw3lSbde/trials/j4kNL",
"startTime": 1595497562887,
"sequenceId": 7,
"endTime": 1595497623402,
"finalMetricData": [
{
"timestamp": 1595497621903,
"trialJobId": "j4kNL",
"parameterId": "7",
"type": "FINAL",
"sequence": 0,
"data": "\"0.9731000065803528\""
}
]
},
{
"id": "lKNIw",
"status": "SUCCEEDED",
"hyperParameters": [
"{\"parameter_id\":8,\"parameter_source\":\"algorithm\",\"parameters\":{\"dropout_rate\":0.5795586765663358,\"conv_size\":2,\"hidden_size\":124,\"batch_size\":16,\"learning_rate\":0.1},\"parameter_index\":0}"
],
"logPath": "file://localhost:/***/nni/experiments/mw3lSbde/trials/lKNIw",
"startTime": 1595497632921,
"sequenceId": 8,
"endTime": 1595497737655,
"finalMetricData": [
{
"timestamp": 1595497736274,
"trialJobId": "lKNIw",
"parameterId": "8",
"type": "FINAL",
"sequence": 0,
"data": "\"0.10090000182390213\""
}
]
},
{
"id": "SzWAE",
"status": "SUCCEEDED",
"hyperParameters": [
"{\"parameter_id\":9,\"parameter_source\":\"algorithm\",\"parameters\":{\"dropout_rate\":0.8807315015190023,\"conv_size\":3,\"hidden_size\":512,\"batch_size\":32,\"learning_rate\":0.1},\"parameter_index\":0}"
],
"logPath": "file://localhost:/***/nni/experiments/mw3lSbde/trials/SzWAE",
"startTime": 1595497742961,
"sequenceId": 9,
"endTime": 1595497804063,
"finalMetricData": [
{
"timestamp": 1595497802428,
"trialJobId": "SzWAE",
"parameterId": "9",
"type": "FINAL",
"sequence": 0,
"data": "\"0.10100000351667404\""
}
]
}
]
}
\ No newline at end of file
src/webui/package.json
View file @ 754b0043
......@@ -12,6 +12,7 @@
"case-sensitive-paths-webpack-plugin": "2.2.0",
"copy-to-clipboard": "^3.0.8",
"css-loader": "2.1.1",
"d3": "^5.16.0",
"dotenv": "6.2.0",
"dotenv-expand": "4.2.0",
"echarts": "^4.5.0",
......@@ -28,6 +29,7 @@
"node-sass": "^4.13.0",
"office-ui-fabric-react": "^7.78.0",
"optimize-css-assets-webpack-plugin": "5.0.1",
"parcoord-es": "^2.2.10",
"pnp-webpack-plugin": "1.2.1",
"postcss-flexbugs-fixes": "4.1.0",
"postcss-loader": "3.0.0",
......@@ -56,6 +58,7 @@
"devDependencies": {
"@babel/core": "7.4.3",
"@svgr/webpack": "4.1.0",
"@types/d3": "^5.7.2",
"@types/jest": "24.0.12",
"@types/json5": "^0.0.30",
"@types/node": "^10.13.0",
......@@ -65,6 +68,7 @@
"@typescript-eslint/eslint-plugin": "^2.11.0",
"@typescript-eslint/parser": "^2.11.0",
"@uifabric/fluent-theme": "^0.16.7",
"concurrently": "^5.2.0",
"eslint": "^5.16.0",
"eslint-config-react-app": "^4.0.0",
"eslint-loader": "2.1.2",
......@@ -73,14 +77,18 @@
"eslint-plugin-jsx-a11y": "6.2.1",
"eslint-plugin-react": "7.12.4",
"eslint-plugin-react-hooks": "^1.5.0",
"express": "^4.17.1",
"npx": "^10.2.0",
"typescript": "3.4.5"
},
"proxy": "http://localhost:12138",
"scripts": {
"start": "node --max-old-space-size=3072 scripts/start.js",
"build": "node --max-old-space-size=3072 scripts/build.js",
"test": "node --max-old-space-size=3072 scripts/test.js",
"eslint": "npx eslint ./ --ext .tsx,.ts"
"eslint": "npx eslint ./ --ext .tsx,.ts",
"mock": "node scripts/server.js",
"dev": "concurrently \"yarn mock\" \"yarn start\""
},
"eslintConfig": {
"extends": "react-app"
......
src/webui/scripts/newmock.js 0 → 100644
View file @ 754b0043
const path = require('path');
const process = require('process');
const fs = require('fs');
const argv = require('minimist')(process.argv.slice(2), {
string: ['server', 'target'],
alias: { s: 'server', t: 'target' }
});
const axios = require('axios');
const serverAddr = argv.server;
const targetFileName = argv.target;
if (!serverAddr) {
throw new Error('Server address not set!');
}
if (!targetFileName) {
throw new Error('Target file name not set!');
}
function maskSensitive(obj) {
if (Array.isArray(obj)) {
return obj.map(maskSensitive);
} else if (typeof obj === 'object') {
const ret = {};
for (const key in obj) {
ret[maskSensitive(key)] = maskSensitive(obj[key]);
}
return ret;
} else if (typeof obj === 'string') {
const homeDir = process.env.HOME;
if (homeDir && obj.includes(homeDir)) {
obj = obj.replace(homeDir, '/***');
}
return obj;
} else {
return obj;
}
}
axios.all([
axios.get(`${serverAddr}/api/v1/nni/check-status`),
axios.get(`${serverAddr}/api/v1/nni/experiment`),
axios.get(`${serverAddr}/api/v1/nni/metric-data`),
axios.get(`${serverAddr}/api/v1/nni/trial-jobs`)
]).then(axios.spread((checkStatus, experiment, metricData, trialJobs) => {
const data = JSON.stringify(maskSensitive({
checkStatus: checkStatus.data,
experiment: experiment.data,
metricData: metricData.data,
trialJobs: trialJobs.data
}), null, 2);
fs.writeFileSync(path.join('mock', `${targetFileName}.json`), data);
})).catch(error => {
console.log(error);
});
src/webui/scripts/server.js 0 → 100644
View file @ 754b0043
const express = require('express');
const path = require('path');
const fs = require('fs');
const app = express();
const argv = require('minimist')(process.argv.slice(2));
const port = argv.port || 12138;
const expAlias = argv.experiment || process.env.EXPERIMENT || 'mnist-tfv1-running';
// Specify multiple alias to transfer from one to another automatically
const splittedAlias = expAlias.split(',');
let expData = undefined;
function loadExperimentWithAlias(aliasId) {
const alias = splittedAlias[aliasId];
let expFile = path.join(__dirname, `../mock/${alias}`);
if (!fs.existsSync(expFile)) {
expFile += '.json';
}
if (!fs.existsSync(expFile)) {
throw new Error(`Experiment file '${expFile}' not found. Please recheck.`);
}
console.log(`Loading experiment file: '${expFile}'.`);
expData = JSON.parse(fs.readFileSync(expFile).toString());
if (splittedAlias.length <= 1)
return;
// sleep longer on first one
setTimeout(() => loadExperimentWithAlias((aliasId + 1) % splittedAlias.length),
expData === undefined ? 40000 : 20000);
}
loadExperimentWithAlias(0);
app.get('/api/v1/nni/version', (req, res) => {
res.send('v999.0');
});
app.get('/api/v1/nni/check-status', (req, res) => {
res.send(expData.checkStatus);
});
app.get('/api/v1/nni/experiment', (req, res) => {
res.send(expData.experiment);
});
app.get('/api/v1/nni/job-statistics', (req, res) => {
const counter = {};
for (const t of expData.trialJobs) {
counter[t.status] = (counter[t.status] || 0) + 1;
}
res.send(Object.keys(counter).map((k) => {
return {
trialJobStatus: k,
trialJobNumber: counter[k]
};
}));
});
app.get('/api/v1/nni/metric-data', (req, res) => {
res.send(expData.metricData);
});
app.get('/api/v1/nni/metric-data/:job_id', (req, res) => {
const metricData = expData.metricData.filter((item) => item.trialJobId === req.params.job_id);
res.send(metricData);
});
app.get('/api/v1/nni/metric-data-range/:min_seq_id/:max_seq_id', (req, res) => {
const minSeqId = Number(req.params.min_seq_id);
const maxSeqId = Number(req.params.max_seq_id);
const targetTrials = expData.trialJobs.filter(trial => (
// Copied from nnimanager.ts
trial.sequenceId !== undefined && minSeqId <= trial.sequenceId && trial.sequenceId <= maxSeqId
));
const targetTrialIds = new Set(targetTrials.map(trial => trial.id));
res.send(expData.metricData.filter(metric => targetTrialIds.has(metric.trialJobId)));
});
app.get('/api/v1/nni/metric-data-latest', (req, res) => {
const finals = [];
const latestIntermediates = new Map();
for (const metric of expData.metricData) {
if (metric.type !== 'PERIODICAL') {
finals.push(metric);
} else {
const old = latestIntermediates.get(metric.trialJobId);
if (old === undefined || old.sequence <= metric.sequence) {
latestIntermediates.set(metric.trialJobId, metric);
}
}
}
res.send(finals.concat(Array.from(latestIntermediates.values())));
});
app.get('/api/v1/nni/trial-jobs', (req, res) => {
res.send(expData.trialJobs);
});
app.get('/api/v1/nni/trial-jobs/:id', (req, res) => {
for (const t of expData.trialJobs) {
if (t.id === req.params.id) {
res.send(t);
break;
}
}
res.sendStatus(404);
});
// TODO: implement put, post, delete methods
app.listen(port, '0.0.0.0', () => {
console.log(`Listening on port ${port}, serving data: ${expAlias}`);
});
src/webui/src/components/Modals/ChangeColumnComponent.tsx
View file @ 754b0043
......@@ -144,4 +144,4 @@ class ChangeColumnComponent extends React.Component<ChangeColumnProps, ChangeCol
}
}
export default ChangeColumnComponent;
\ No newline at end of file
export default ChangeColumnComponent;
src/webui/src/components/TrialsDetail.tsx
View file @ 754b0043
......@@ -15,7 +15,7 @@ import '../static/style/search.scss';
interface TrialDetailState {
tablePageSize: number; // table components val
whichGraph: string;
whichChart: string;
searchType: string;
searchFilter: (trial: Trial) => boolean;
}
......@@ -39,7 +39,7 @@ class TrialsDetail extends React.Component<TrialsDetailProps, TrialDetailState>
super(props);
this.state = {
tablePageSize: 20,
whichGraph: 'Default metric',
whichChart: 'Default metric',
searchType: 'Id',
// eslint-disable-next-line @typescript-eslint/no-unused-vars, @typescript-eslint/explicit-function-return-type
searchFilter: trial => true
......@@ -82,7 +82,7 @@ class TrialsDetail extends React.Component<TrialsDetailProps, TrialDetailState>
}
handleWhichTabs = (item: any): void => {
this.setState({whichGraph: item.props.headerText});
this.setState({whichChart: item.props.headerText});
}
updateSearchFilterType = (event: React.FormEvent<HTMLDivElement>, item: IDropdownOption | undefined): void => {
......@@ -96,7 +96,7 @@ class TrialsDetail extends React.Component<TrialsDetailProps, TrialDetailState>
}
render(): React.ReactNode {
const { tablePageSize, whichGraph, searchType } = this.state;
const { tablePageSize, whichChart, searchType } = this.state;
const { columnList, changeColumn } = this.props;
const source = TRIALS.filter(this.state.searchFilter);
const trialIds = TRIALS.filter(this.state.searchFilter).map(trial => trial.id);
......@@ -109,13 +109,13 @@ class TrialsDetail extends React.Component<TrialsDetailProps, TrialDetailState>
return (
<div>
<div className="trial" id="tabsty">
<Pivot defaultSelectedKey={"0"} className="detial-title" onLinkClick={this.handleWhichTabs} selectedKey={whichGraph}>
<Pivot defaultSelectedKey={"0"} className="detial-title" onLinkClick={this.handleWhichTabs} selectedKey={whichChart}>
{/* <PivotItem tab={this.titleOfacc} key="1"> doesn't work*/}
<PivotItem headerText="Default metric" itemIcon="HomeGroup" key="Default metric">
<Stack className="graph">
<DefaultPoint
trialIds={trialIds}
visible={whichGraph === 'Default metric'}
visible={whichChart === 'Default metric'}
trialsUpdateBroadcast={this.props.trialsUpdateBroadcast}
/>
</Stack>
......@@ -124,20 +124,20 @@ class TrialsDetail extends React.Component<TrialsDetailProps, TrialDetailState>
<PivotItem headerText="Hyper-parameter" itemIcon="Equalizer" key="Hyper-parameter">
<Stack className="graph">
<Para
dataSource={source}
expSearchSpace={JSON.stringify(EXPERIMENT.searchSpace)}
whichGraph={whichGraph}
trials={source}
searchSpace={EXPERIMENT.searchSpaceNew}
whichChart={whichChart}
/>
</Stack>
</PivotItem>
{/* <PivotItem tab={this.titleOfDuration} key="3"> */}
<PivotItem headerText="Duration" itemIcon="BarChartHorizontal" key="Duration">
<Duration source={source} whichGraph={whichGraph} />
<Duration source={source} whichChart={whichChart} />
</PivotItem>
{/* <PivotItem tab={this.titleOfIntermediate} key="4"> */}
<PivotItem headerText="Intermediate result" itemIcon="StackedLineChart" key="Intermediate result">
{/* *why this graph has small footprint? */}
<Intermediate source={source} whichGraph={whichGraph} />
<Intermediate source={source} whichChart={whichChart} />
</PivotItem>
</Pivot>
</div>
......
src/webui/src/components/trial-detail/Duration.tsx
View file @ 754b0043
......@@ -13,7 +13,7 @@ interface Runtrial {
interface DurationProps {
source: Array<TableObj>;
whichGraph: string;
whichChart: string;
}
interface DurationState {
......@@ -170,7 +170,7 @@ class Duration extends React.Component<DurationProps, DurationState> {
componentDidUpdate(prevProps: DurationProps): void {
// add this if to prevent endless loop
if (this.props.source !== prevProps.source) {
if (this.props.whichGraph === 'Duration') {
if (this.props.whichChart === 'Duration') {
this.drawDurationGraph(this.props.source);
}
}
......
src/webui/src/components/trial-detail/Intermediate.tsx
View file @ 754b0043
......@@ -24,7 +24,7 @@ interface IntermediateState {
interface IntermediateProps {
source: Array<TableObj>;
whichGraph: string;
whichChart: string;
}
class Intermediate extends React.Component<IntermediateProps, IntermediateState> {
......@@ -215,9 +215,9 @@ class Intermediate extends React.Component<IntermediateProps, IntermediateState>
componentDidUpdate(prevProps: IntermediateProps, prevState: any): void {
if (this.props.source !== prevProps.source || this.state.isFilter !== prevState.isFilter) {
const { isFilter, filterSource } = this.state;
const { whichGraph, source } = this.props;
const { whichChart, source } = this.props;
if (whichGraph === 'Intermediate result') {
if (whichChart === 'Intermediate result') {
if (isFilter === true) {
const pointVal = this.pointInput !== null ? this.pointInput.value : '';
const minVal = this.minValInput !== null ? this.minValInput.value : '';
......
src/webui/src/components/trial-detail/Para.tsx
View file @ 754b0043
import * as d3 from 'd3';
import { Dropdown, IDropdownOption, Stack } from 'office-ui-fabric-react';
import ParCoords from 'parcoord-es';
import 'parcoord-es/dist/parcoords.css';
import * as React from 'react';
import ReactEcharts from 'echarts-for-react';
import { filterByStatus } from '../../static/function';
import { EXPERIMENT, TRIALS } from '../../static/datamodel';
import { Stack, PrimaryButton, Dropdown, IDropdownOption } from 'office-ui-fabric-react';
import { ParaObj, Dimobj, TableObj } from '../../static/interface';
import 'echarts/lib/chart/parallel';
import 'echarts/lib/component/tooltip';
import 'echarts/lib/component/title';
import 'echarts/lib/component/visualMap';
import '../../static/style/para.scss';
import { SearchSpace } from '../../static/model/searchspace';
import { filterByStatus } from '../../static/function';
import { TableObj, SingleAxis, MultipleAxes } from '../../static/interface';
import '../../static/style/button.scss';
import '../../static/style/para.scss';
interface ParaState {
// paraSource: Array<TableObj>;
option: object;
paraBack: ParaObj;
dimName: string[];
swapAxisArr: string[];
percent: number;
paraNodata: string;
max: number; // graph color bar limit
min: number;
sutrialCount: number; // succeed trial numbers for SUC
succeedRenderCount: number; // all succeed trials number
clickCounts: number;
isLoadConfirm: boolean;
// office-fabric-ui
selectedItem?: { key: string | number | undefined }; // percent Selector
swapyAxis?: string[]; // yAxis Selector
paraYdataNested: number[][];
isNested: false;
showFinalMetricKey: string;
metricType: string;
selectedPercent: string;
primaryMetricKey: string;
noChart: boolean;
}
interface ParaProps {
dataSource: Array<TableObj>;
expSearchSpace: string;
whichGraph: string;
trials: Array<TableObj>;
searchSpace: SearchSpace;
whichChart: string;
}
class Para extends React.Component<ParaProps, ParaState> {
private paraRef = React.createRef<HTMLDivElement>();
private pcs: any;
private chartMulineStyle = {
width: '100%',
height: 392,
margin: '0 auto',
padding: '0 15 10 15'
margin: '0 auto'
};
private innerChartMargins = {
top: 32,
right: 20,
bottom: 20,
left: 28
};
constructor(props: ParaProps) {
super(props);
this.state = {
// paraSource: [],
// option: this.hyperParaPic,
option: {},
dimName: [],
paraBack: {
parallelAxis: [{
dim: 0,
name: ''
}],
data: []
},
swapAxisArr: [],
percent: 0,
paraNodata: '',
min: 0,
max: 1,
sutrialCount: 10000000,
succeedRenderCount: 10000000,
clickCounts: 1,
isLoadConfirm: false,
swapyAxis: [],
paraYdataNested: [],
isNested: false,
showFinalMetricKey: "default",
metricType: 'numberType'
primaryMetricKey: 'default',
selectedPercent: '1',
noChart: true
};
}
getParallelAxis =
(
dimName: string[], parallelAxis: Array<Dimobj>,
accPara: number[], eachTrialParams: string[],
lengthofTrials: number
): void => {
// get data for every lines. if dim is choice type, number -> toString()
let paraYdata: number[][] = [];
const { isNested } = this.state;
if (isNested === false) {
for (const item of eachTrialParams) {
const temp: number[] = [];
for (let i = 0; i < dimName.length; i++) {
if ('type' in parallelAxis[i]) {
temp.push(item[dimName[i]].toString());
} else {
// default metric
temp.push(item[dimName[i]]);
}
}
paraYdata.push(temp);
}
} else {
paraYdata = this.state.paraYdataNested;
}
// add metric value
Object.keys(paraYdata).map(item => {
paraYdata[item].push(accPara[item]);
});
// according acc to sort ydata // sort to find top percent dataset
if (paraYdata.length !== 0) {
const len = paraYdata[0].length - 1;
// show top trials
if (EXPERIMENT.optimizeMode === 'minimize') {
paraYdata.sort((a, b) => a[len] - b[len]);
}
if (EXPERIMENT.optimizeMode === 'maximize') {
paraYdata.sort((a, b) => b[len] - a[len]);
}
}
const paraData = {
parallelAxis: parallelAxis,
data: paraYdata
};
const { percent, swapAxisArr } = this.state;
// need to cut down the data
if (percent !== 0) {
const linesNum = paraData.data.length;
// Math.ceil rather than Math.floor to avoid lost lines
const len = Math.ceil(linesNum * percent);
paraData.data.length = len;
}
// need to swap the yAxis
if (swapAxisArr.length >= 2) {
this.swapGraph(paraData, swapAxisArr);
}
this.getOption(paraData, lengthofTrials);
this.setState({ paraBack: paraData });
}
hyperParaPic = (source: Array<TableObj>, searchSpace: string): void => {
// filter succeed trials [{}, {}, {}]
const dataSource = source.filter(filterByStatus);
const lenOfDataSource: number = dataSource.length;
const accPara: number[] = [];
// specific value array
const eachTrialParams: Array<any> = [];
// experiment interface search space obj
const searchRange = searchSpace !== undefined ? JSON.parse(searchSpace) : '';
// nest search space
let isNested: boolean = false;
Object.keys(searchRange).map(item => {
if (searchRange[item]._value && typeof searchRange[item]._value[0] === 'object') {
isNested = true;
return;
}
});
let dimName: string[] = [];
const parallelAxis: Array<Dimobj> = [];
// search space range and specific value [only number]
let i = 0;
const yAxisOrderList = new Map();
this.setState({ isNested: isNested });
if (isNested === false) {
dimName = Object.keys(searchRange);
this.setState({ dimName: dimName });
for (i; i < dimName.length; i++) {
const data: string[] = [];
const searchKey = searchRange[dimName[i]];
switch (searchKey._type) {
case 'uniform':
case 'quniform':
parallelAxis.push({
dim: i,
name: dimName[i],
max: searchKey._value[1],
min: searchKey._value[0]
});
break;
case 'randint':
parallelAxis.push({
dim: i,
name: dimName[i],
min: searchKey._value[0],
max: searchKey._value[1],
});
break;
case 'choice':
for (let j = 0; j < searchKey._value.length; j++) {
data.push(searchKey._value[j].toString());
}
parallelAxis.push({
dim: i,
name: dimName[i],
type: 'category',
data: data,
boundaryGap: true,
axisLine: {
lineStyle: {
type: 'dotted', // axis type,solid，dashed，dotted
width: 1
}
},
axisTick: {
show: true,
interval: 0,
alignWithLabel: true,
},
axisLabel: {
show: true,
interval: 0,
// rotate: 30
},
});
break;
// support log distribute
case 'loguniform':
if (lenOfDataSource > 1) {
parallelAxis.push({
dim: i,
name: dimName[i],
type: 'log',
});
} else {
parallelAxis.push({
dim: i,
name: dimName[i]
});
}
break;
default:
parallelAxis.push({
dim: i,
name: dimName[i]
});
}
}
} else {
for (const parallelAxisName in searchRange) {
const data: any[] = [];
dimName.push(parallelAxisName);
for (const choiceItem in searchRange[parallelAxisName]) {
if (choiceItem === '_value') {
for (const item in searchRange[parallelAxisName][choiceItem]) {
data.push(searchRange[parallelAxisName][choiceItem][item]._name);
}
yAxisOrderList.set(parallelAxisName, JSON.parse(JSON.stringify(data)));
parallelAxis.push({
dim: i,
data: data,
name: parallelAxisName,
type: 'category',
boundaryGap: true,
axisLine: {
lineStyle: {
type: 'dotted', // axis type,solid，dashed，dotted
width: 1
}
},
axisTick: {
show: true,
interval: 0,
alignWithLabel: true,
},
axisLabel: {
show: true,
interval: 0,
// rotate: 30
}
});
i++;
for (const item in searchRange[parallelAxisName][choiceItem]) {
for (const key in searchRange[parallelAxisName][choiceItem][item]) {
if (key !== '_name') {
dimName.push(key);
parallelAxis.push({
dim: i,
data: searchRange[parallelAxisName][choiceItem][item][key]._value.concat('null'),
name: `${searchRange[parallelAxisName][choiceItem][item]._name}_${key}`,
type: 'category',
boundaryGap: true,
axisLine: {
lineStyle: {
type: 'dotted', // axis type,solid，dashed，dotted
width: 1
}
},
axisTick: {
show: true,
interval: 0,
alignWithLabel: true,
},
axisLabel: {
show: true,
interval: 0,
// rotate: 30
}
});
i++;
}
}
}
}
}
}
this.setState({ dimName: dimName });
}
// metric yAxis
const { showFinalMetricKey } = this.state;
parallelAxis.push({
dim: i,
name: showFinalMetricKey,
scale: true,
nameTextStyle: {
fontWeight: 700
}
});
if (lenOfDataSource === 0) {
const optionOfNull = {
parallelAxis,
tooltip: {
trigger: 'item'
},
parallel: {
parallelAxisDefault: {
tooltip: {
show: true
},
axisLabel: {
formatter: function (value?: string): string | null {
if (value !== undefined) {
const length = value.length;
if (length > 16) {
const temp = value.split('');
for (let m = 16; m < temp.length; m += 17) {
temp[m] += '\n';
}
return temp.join('');
} else {
return value;
}
} else {
return null;
}
}
},
}
},
visualMap: {
type: 'continuous',
min: 0,
max: 1,
color: ['#CA0000', '#FFC400', '#90EE90']
}
};
this.setState({
paraNodata: 'No data',
option: optionOfNull,
sutrialCount: 0,
succeedRenderCount: 0
});
} else {
Object.keys(dataSource).map(item => {
const trial = dataSource[item];
eachTrialParams.push(trial.description.parameters);
// may be a succeed trial hasn't final result
// all detail page may be break down if havn't if
// metric yAxis data
if (trial.acc !== undefined) {
const val = trial.acc[showFinalMetricKey];
if (val !== undefined) {
const typeOfVal = typeof val;
if(typeOfVal === 'number'){
this.setState(() => ({metricType: 'numberType'}));
} else {
// string type
parallelAxis[parallelAxis.length - 1].type = 'category';
parallelAxis[parallelAxis.length - 1].data = [val];
this.setState(() => ({metricType: 'stringType'}));
}
accPara.push(val);
}
}
});
// nested search space, fill all yAxis data
if (isNested !== false) {
const renderDataSource: Array<any> = [];
for (const i in eachTrialParams) {
const eachTrialData: Array<any> = [];
for (const m in eachTrialParams[i]) {
const eachTrialParamsObj = eachTrialParams[i][m];
for (const n in yAxisOrderList.get(m)) {
if (yAxisOrderList.get(m)[n] === eachTrialParamsObj._name) {
for (const index in eachTrialParamsObj) {
if (index !== '_name') {
eachTrialData.push(eachTrialParamsObj[index].toString());
}
if (eachTrialParamsObj[index] === 'Empty') {
eachTrialData.push('Empty');
}
}
} else {
if (yAxisOrderList.get(m)[n] === 'Empty') {
eachTrialData.push(eachTrialParamsObj._name.toString());
} else {
eachTrialData.push('null');
}
}
}
}
renderDataSource.push(eachTrialData);
}
this.setState({ paraYdataNested: renderDataSource });
}
const maxVal = accPara.length === 0 ? 1 : Math.max(...accPara);
const minVal = accPara.length === 0 ? 1 : Math.min(...accPara);
this.setState({ max: maxVal, min: minVal }, () => {
this.getParallelAxis(dimName, parallelAxis, accPara, eachTrialParams, lenOfDataSource);
});
}
}
// get percent value number
// percentNum = (value: string) => {
percentNum = (event: React.FormEvent<HTMLDivElement>, item?: IDropdownOption): void => {
// percentNum = (event: React.FormEvent<HTMLDivElement>, item?: ISelectableOption) => {
if (item !== undefined) {
const vals = parseFloat(item !== undefined ? item.text : '');
this.setState({ percent: vals / 100, selectedItem: item }, () => {
this.reInit();
});
}
}
// deal with response data into pic data
getOption = (dataObj: ParaObj, lengthofTrials: number): void => {
// dataObj [[y1], [y2]... [default metric]]
const { max, min, metricType } = this.state;
const parallelAxis = dataObj.parallelAxis;
const paralleData = dataObj.data;
let visualMapObj = {};
if (max === min) {
visualMapObj = {
type: 'continuous',
precision: 3,
min: 0,
max: max,
color: ['#CA0000', '#FFC400', '#90EE90']
};
} else {
visualMapObj = {
bottom: '20px',
type: 'continuous',
precision: 3,
min: min,
max: max,
color: ['#CA0000', '#FFC400', '#90EE90']
};
}
const optionown = {
parallelAxis,
tooltip: {
trigger: 'item'
},
parallel: {
parallelAxisDefault: {
tooltip: {
show: true
},
axisLabel: {
formatter: function (value: string): string {
const length = value.length;
if (length > 16) {
const temp = value.split('');
for (let i = 16; i < temp.length; i += 17) {
temp[i] += '\n';
}
return temp.join('');
} else {
return value;
}
}
},
}
},
visualMap: metricType === 'numberType' ? visualMapObj : null,
series: {
type: 'parallel',
smooth: true,
lineStyle: {
width: 2
},
data: paralleData
}
};
// please wait the data
this.setState({
option: optionown,
paraNodata: '',
succeedRenderCount: lengthofTrials,
sutrialCount: paralleData.length
});
}
// get swap parallel axis
getSwapArr = (event: React.FormEvent<HTMLDivElement>, item?: IDropdownOption): void => {
const newSelectedItems = [...this.state.swapyAxis];
if (item !== undefined) {
if (item.selected) {
// add the option if it's checked
newSelectedItems.push(item.key as string);
} else {
// remove the option if it's unchecked
const currIndex = newSelectedItems.indexOf(item.key as string);
if (currIndex > -1) {
newSelectedItems.splice(currIndex, 1);
}
}
this.setState({
swapAxisArr: newSelectedItems,
swapyAxis: newSelectedItems
this.setState({ selectedPercent: item.key.toString() }, () => {
this.renderParallelCoordinates();
});
}
}
reInit = (): void => {
const { dataSource, expSearchSpace } = this.props;
this.hyperParaPic(dataSource, expSearchSpace);
}
swapReInit = (): void => {
const { clickCounts, succeedRenderCount } = this.state;
const val = clickCounts + 1;
this.setState({ isLoadConfirm: true, clickCounts: val, });
const { paraBack, swapAxisArr } = this.state;
const paralDim = paraBack.parallelAxis;
const paraData = paraBack.data;
let temp: number;
let dim1: number;
let dim2: number;
let bool1: boolean = false;
let bool2: boolean = false;
let bool3: boolean = false;
Object.keys(paralDim).map(item => {
const paral = paralDim[item];
switch (paral.name) {
case swapAxisArr[0]:
dim1 = paral.dim;
bool1 = true;
break;
case swapAxisArr[1]:
dim2 = paral.dim;
bool2 = true;
break;
default:
}
if (bool1 && bool2) {
bool3 = true;
}
});
// swap dim's number
Object.keys(paralDim).map(item => {
if (bool3) {
if (paralDim[item].name === swapAxisArr[0]) {
paralDim[item].dim = dim2;
}
if (paralDim[item].name === swapAxisArr[1]) {
paralDim[item].dim = dim1;
}
}
});
paralDim.sort(this.sortDimY);
// swap data array
Object.keys(paraData).map(paraItem => {
temp = paraData[paraItem][dim1];
paraData[paraItem][dim1] = paraData[paraItem][dim2];
paraData[paraItem][dim2] = temp;
});
this.getOption(paraBack, succeedRenderCount);
// please wait the data
this.setState({
isLoadConfirm: false
});
}
sortDimY = (a: Dimobj, b: Dimobj): number => {
return a.dim - b.dim;
}
// deal with after swap data into pic
swapGraph = (paraBack: ParaObj, swapAxisArr: string[]): void => {
const paralDim = paraBack.parallelAxis;
const paraData = paraBack.data;
let temp: number;
let dim1: number;
let dim2: number;
let bool1: boolean = false;
let bool2: boolean = false;
let bool3: boolean = false;
Object.keys(paralDim).map(item => {
const paral = paralDim[item];
switch (paral.name) {
case swapAxisArr[0]:
dim1 = paral.dim;
bool1 = true;
break;
case swapAxisArr[1]:
dim2 = paral.dim;
bool2 = true;
break;
default:
}
if (bool1 && bool2) {
bool3 = true;
}
});
// swap dim's number
Object.keys(paralDim).map(item => {
if (bool3) {
if (paralDim[item].name === swapAxisArr[0]) {
paralDim[item].dim = dim2;
}
if (paralDim[item].name === swapAxisArr[1]) {
paralDim[item].dim = dim1;
}
}
});
paralDim.sort(this.sortDimY);
// swap data array
Object.keys(paraData).map(paraItem => {
temp = paraData[paraItem][dim1];
paraData[paraItem][dim1] = paraData[paraItem][dim2];
paraData[paraItem][dim2] = temp;
});
}
// select all final keys
updateEntries = (event: React.FormEvent<HTMLDivElement>, item: any): void => {
if (item !== undefined) {
this.setState({ showFinalMetricKey: item.key }, () => { this.reInit() });
this.setState({ primaryMetricKey: item.key }, () => {
this.renderParallelCoordinates();
});
}
}
componentDidMount(): void {
this.reInit();
this.renderParallelCoordinates();
}
componentDidUpdate(prevProps: ParaProps): void {
if (this.props.dataSource !== prevProps.dataSource) {
const { dataSource, expSearchSpace, whichGraph } = this.props;
if (whichGraph === 'Hyper-parameter') {
this.hyperParaPic(dataSource, expSearchSpace);
// FIXME: redundant update
if (this.props.trials !== prevProps.trials || this.props.searchSpace !== prevProps.searchSpace) {
const { whichChart } = this.props;
if (whichChart === 'Hyper-parameter') {
this.renderParallelCoordinates();
}
}
}
render(): React.ReactNode {
const { option, paraNodata, dimName, isLoadConfirm, selectedItem, swapyAxis } = this.state;
const { selectedPercent, noChart } = this.state;
return (
<div className="parameter">
<Stack horizontal className="para-filter" horizontalAlign="end">
<span className="para-filter-text">Top</span>
<Dropdown
selectedKey={selectedItem ? selectedItem.key : undefined}
selectedKey={selectedPercent}
onChange={this.percentNum}
placeholder="100%"
defaultSelectedKeys={[0.2]}
options={[
{ key: '0.2', text: '20%' },
{ key: '0.5', text: '50%' },
{ key: '0.8', text: '80%' },
{ key: '1', text: '100%' },
{ key: '0.01', text: 'Top 1%' },
{ key: '0.05', text: 'Top 5%' },
{ key: '0.2', text: 'Top 20%' },
{ key: '1', text: 'Top 100%' },
]}
styles={{ dropdown: { width: 120 } }}
className="para-filter-percent"
/>
{this.finalKeysDropdown()}
<Dropdown
placeholder="Select options"
selectedKeys={swapyAxis}
onChange={this.getSwapArr}
multiSelect
options={
dimName.map((key, item) => {
return {
key: key, text: dimName[item]
};
})
}
styles={{ dropdown: { width: 240 } }}
/>
<PrimaryButton
text="Confirm"
onClick={this.swapReInit}
disabled={isLoadConfirm}
/>
</Stack>
<div className="searcHyper">
<ReactEcharts
option={option}
style={this.chartMulineStyle}
// lazyUpdate={true}
notMerge={true} // update now
/>
<div className="noneData">{paraNodata}</div>
</div>
<div className="parcoords" style={this.chartMulineStyle} ref={this.paraRef}/>
{noChart && <div className="nodata">No data</div>}
</div>
);
}
private finalKeysDropdown = (): any => {
const { showFinalMetricKey } = this.state;
private finalKeysDropdown(): any {
const { primaryMetricKey } = this.state;
if (TRIALS.finalKeys().length === 1) {
return null;
} else {
......@@ -736,7 +123,7 @@ class Para extends React.Component<ParaProps, ParaState> {
<div>
<span className="para-filter-text para-filter-middle">Metrics</span>
<Dropdown
selectedKey={showFinalMetricKey}
selectedKey={primaryMetricKey}
options={finalKeysDropdown}
onChange={this.updateEntries}
styles={{ root: { width: 150, display: 'inline-block' } }}
......@@ -745,9 +132,135 @@ class Para extends React.Component<ParaProps, ParaState> {
</div>
);
}
}
};
/**
* Render the parallel coordinates. Using trial data as base and leverage
* information from search space at a best effort basis.
* @param source Array of trial data
* @param searchSpace Search space
*/
private renderParallelCoordinates(): void {
const { searchSpace } = this.props;
const percent = parseFloat(this.state.selectedPercent);
const { primaryMetricKey } = this.state;
const inferredSearchSpace = TRIALS.inferredSearchSpace(searchSpace);
const inferredMetricSpace = TRIALS.inferredMetricSpace();
let convertedTrials = this.getTrialsAsObjectList(inferredSearchSpace, inferredMetricSpace);
const dimensions: [any, any][] = [];
let colorDim: string | undefined = undefined, colorScale: any = undefined;
// treat every axis as numeric to fit for brush
for (const [k, v] of inferredSearchSpace.axes) {
dimensions.push([k, {
type: 'number',
yscale: this.convertToD3Scale(v)
}]);
}
for (const [k, v] of inferredMetricSpace.axes) {
const scale = this.convertToD3Scale(v);
if (k === primaryMetricKey && scale !== undefined && scale.interpolate) {
// set color for primary metrics
colorScale = this.convertToD3Scale(v, false)
.range(['green', 'red'])
.interpolate(d3.interpolateHsl);
colorDim = k;
// filter top trials
if (percent != 1) {
const keptTrialNum = Math.max(Math.ceil(convertedTrials.length * percent), 1);
convertedTrials.sort((a, b) => EXPERIMENT.optimizeMode === 'minimize' ? a[k] - b[k] : b[k] - a[k]);
convertedTrials = convertedTrials.slice(0, keptTrialNum);
const domain = d3.extent(convertedTrials, item => item[k]);
scale.domain([domain[0], domain[1]]);
if (colorScale !== undefined) {
colorScale.domain(domain);
}
}
}
dimensions.push([k, {
type: 'number',
yscale: scale
}]);
}
if (convertedTrials.length === 0) {
return;
}
const firstRun = this.pcs === undefined;
if (firstRun) {
this.pcs = ParCoords()(this.paraRef.current);
}
this.pcs.data(convertedTrials)
.dimensions(dimensions.reduce((obj, entry) => ({ ...obj, [entry[0]]: entry[1] }), {}));
if (firstRun) {
this.pcs.margin(this.innerChartMargins)
.alphaOnBrushed(0.2)
.smoothness(0.1)
.brushMode("1D-axes")
.reorderable()
.interactive();
}
if (colorScale !== undefined) {
this.pcs.color(d => (colorScale as any)(d[colorDim as any]));
}
this.pcs.render();
if (firstRun) {
this.setState({ noChart: false });
}
}
private getTrialsAsObjectList(inferredSearchSpace: MultipleAxes, inferredMetricSpace: MultipleAxes): {}[] {
const { trials } = this.props;
const succeededTrials = trials.filter(filterByStatus);
return succeededTrials.map(s => {
const entries = Array.from(s.parameters(inferredSearchSpace).entries());
entries.push(...(Array.from(s.metrics(inferredMetricSpace).entries())));
const ret = {};
for (const [k, v] of entries) {
ret[k.fullName] = v;
}
return ret;
});
}
private getRange(): [number, number] {
// Documentation is lacking.
// Reference: https://github.com/syntagmatic/parallel-coordinates/issues/308
// const range = this.pcs.height() - this.pcs.margin().top - this.pcs.margin().bottom;
const range = this.chartMulineStyle.height - this.innerChartMargins.top - this.innerChartMargins.bottom;
return [range, 1];
}
private convertToD3Scale(axis: SingleAxis, initRange: boolean = true): any {
const padLinear = ([x0, x1], k = 0.1): [number, number] => {
const dx = (x1 - x0) * k / 2;
return [x0 - dx, x1 + dx];
};
const padLog = ([x0, x1], k = 0.1): [number, number] => {
const [y0, y1] = padLinear([Math.log(x0), Math.log(x1)], k);
return [Math.exp(y0), Math.exp(y1)];
}
let scaleInst: any = undefined;
if (axis.scale === 'ordinal') {
if (axis.nested) {
// TODO: handle nested entries
scaleInst = d3.scalePoint().domain(Array.from(axis.domain.keys())).padding(0.2);
} else {
scaleInst = d3.scalePoint().domain(axis.domain).padding(0.2);
}
} else if (axis.scale === 'log') {
scaleInst = d3.scaleLog().domain(padLog(axis.domain));
} else if (axis.scale === 'linear') {
scaleInst = d3.scaleLinear().domain(padLinear(axis.domain));
}
if (initRange) {
scaleInst = scaleInst.range(this.getRange());
}
return scaleInst;
}
}
export default Para;
src/webui/src/static/const.ts
View file @ 754b0043
......@@ -2,10 +2,7 @@
const METRIC_GROUP_UPDATE_THRESHOLD = 100;
const METRIC_GROUP_UPDATE_SIZE = 20;
let MANAGER_IP = `/api/v1/nni`;
if (process.env.NODE_ENV == "development") {
MANAGER_IP = `//${window.location.hostname}:8080` + MANAGER_IP;
}
const MANAGER_IP = `/api/v1/nni`;
const DOWNLOAD_IP = `/logs`;
const WEBUIDOC = 'https://nni.readthedocs.io/en/latest/Tutorial/WebUI.html';
const trialJobStatus = [
......@@ -40,9 +37,24 @@ const COLUMN = ['Trial No.', 'ID', 'Duration', 'Status', 'Default', OPERATION];
const COLUMNPro = ['Trial No.', 'ID', 'Start Time', 'End Time', 'Duration', 'Status',
'Intermediate result', 'Default', OPERATION];
const CONCURRENCYTOOLTIP = 'Trial concurrency is the number of trials running concurrently.';
const SUPPORTED_SEARCH_SPACE_TYPE = [
'choice',
'layer_choice',
'input_choice',
'randint',
'uniform',
'quniform',
'loguniform',
'qloguniform',
'normal',
'qnormal',
'lognormal',
'qlognormal'
];
export {
MANAGER_IP, DOWNLOAD_IP, trialJobStatus, COLUMNPro, WEBUIDOC,
CONTROLTYPE, MONACO, COLUMN, DRAWEROPTION, OPERATION,
METRIC_GROUP_UPDATE_THRESHOLD, METRIC_GROUP_UPDATE_SIZE, CONCURRENCYTOOLTIP
METRIC_GROUP_UPDATE_THRESHOLD, METRIC_GROUP_UPDATE_SIZE, CONCURRENCYTOOLTIP,
SUPPORTED_SEARCH_SPACE_TYPE
};
src/webui/src/static/interface.ts
View file @ 754b0043
/**
* Definition of single dimension in search space.
*/
interface SingleAxis {
baseName: string;
fullName: string;
type: string;
scale: 'log' | 'linear' | 'ordinal';
domain: any;
nested: boolean;
}
/**
* Definition of combination of multiple dimensions.
* The decision in multiple dimensions will be combined together.
* Typically, it is a search space or a sub search space.
*/
interface MultipleAxes {
baseName: string;
fullName: string;
axes: Map<string, SingleAxis>;
}
// draw accuracy graph data export interface
interface TableObj {
key: number;
......@@ -10,6 +33,8 @@ interface TableObj {
color?: string;
startTime?: number;
endTime?: number;
parameters(axes: MultipleAxes): Map<SingleAxis, any>;
metrics(axes: MultipleAxes): Map<SingleAxis, any>;
}
interface TableRecord {
......@@ -192,5 +217,5 @@ export {
TableObj, TableRecord, SearchSpace, FinalType, ErrorParameter, Parameters,
AccurPoint, DetailAccurPoint, TooltipForIntermediate, TooltipForAccuracy,
Dimobj, ParaObj, Intermedia, MetricDataRecord, TrialJobInfo, ExperimentParams,
ExperimentProfile, NNIManagerStatus, EventMap
ExperimentProfile, NNIManagerStatus, EventMap, SingleAxis, MultipleAxes
};
src/webui/src/static/model/experiment.ts
View file @ 754b0043
import { MANAGER_IP } from '../const';
import { ExperimentProfile, NNIManagerStatus } from '../interface';
import { requestAxios } from '../function';
import { SearchSpace } from './searchspace';
function compareProfiles(profile1?: ExperimentProfile, profile2?: ExperimentProfile): boolean {
if (!profile1 || !profile2) {
......@@ -129,6 +130,12 @@ class Experiment {
return result;
}
get searchSpaceNew(): SearchSpace {
// The search space derived directly from profile
// eventually this will replace searchSpace
return new SearchSpace('', '', this.searchSpace);
}
get logCollectionEnabled(): boolean {
return !!(this.profile.params.logCollection && this.profile.params.logCollection !== 'none');
}
......
src/webui/src/static/model/searchspace.ts 0 → 100644
View file @ 754b0043
import { SingleAxis, MultipleAxes, TableObj } from '../interface';
import { SUPPORTED_SEARCH_SPACE_TYPE } from '../const';
function fullNameJoin(prefix: string, name: string): string {
return prefix ? (prefix + '/' + name) : name;
}
class NumericAxis implements SingleAxis {
min: number = 0;
max: number = 0;
type: string;
baseName: string;
fullName: string;
scale: 'log' | 'linear';
nested = false;
constructor(baseName: string, fullName: string, type: string, value: any) {
this.baseName = baseName;
this.fullName = fullName;
this.type = type;
this.scale = type.includes('log') ? 'log' : 'linear';
if (type === 'randint') {
this.min = value[0];
this.max = value[1] - 1;
} else if (type.includes('uniform')) {
this.min = value[0];
this.max = value[1];
} else if (type.includes('normal')) {
const [mu, sigma] = [value[0], value[1]];
this.min = mu - 4 * sigma;
this.max = mu + 4 * sigma;
if (this.scale === 'log') {
this.min = Math.exp(this.min);
this.max = Math.exp(this.max);
}
}
}
get domain(): [number, number] {
return [this.min, this.max];
}
}
class SimpleOrdinalAxis implements SingleAxis {
type: string;
baseName: string;
fullName: string;
scale: 'ordinal' = 'ordinal';
domain: any[];
nested = false;
constructor(baseName: string, fullName: string, type: string, value: any) {
this.baseName = baseName;
this.fullName = fullName;
this.type = type;
this.domain = value;
}
}
class NestedOrdinalAxis implements SingleAxis {
type: string;
baseName: string;
fullName: string;
scale: 'ordinal' = 'ordinal';
domain = new Map<string, MultipleAxes>();
nested = true;
constructor(baseName: any, fullName: string, type: any, value: any) {
this.baseName = baseName;
this.fullName = fullName;
this.type = type;
for (const v of value) {
// eslint-disable-next-line @typescript-eslint/no-use-before-define
this.domain.set(v._name, new SearchSpace(v._name, fullNameJoin(fullName, v._name), v));
}
}
}
export class SearchSpace implements MultipleAxes {
axes = new Map<string, SingleAxis>();
baseName: string;
fullName: string;
constructor(baseName: string, fullName: string, searchSpaceSpec: any) {
this.baseName = baseName;
this.fullName = fullName;
if (searchSpaceSpec === undefined) {
return;
}
Object.entries(searchSpaceSpec).forEach((item) => {
const key = item[0], spec = item[1] as any;
if (key === '_name') {
return;
} else if (['choice', 'layer_choice', 'input_choice'].includes(spec._type)) {
// ordinal types
if (spec._value && typeof spec._value[0] === 'object') {
// nested dimension
this.axes.set(key, new NestedOrdinalAxis(key, fullNameJoin(fullName, key), spec._type, spec._value));
} else {
this.axes.set(key, new SimpleOrdinalAxis(key, fullNameJoin(fullName, key), spec._type, spec._value));
}
} else if (SUPPORTED_SEARCH_SPACE_TYPE.includes(spec._type)) {
this.axes.set(key, new NumericAxis(key, fullName + key, spec._type, spec._value));
}
});
}
static inferFromTrials(searchSpace: SearchSpace, trials: TableObj[]): SearchSpace {
const newSearchSpace = new SearchSpace(searchSpace.baseName, searchSpace.fullName, undefined);
for (const [k, v] of searchSpace.axes) {
newSearchSpace.axes.set(k, v);
}
// Add axis inferred from trials columns
const addingColumns = new Map<string, any[]>();
for (const trial of trials) {
try {
trial.parameters(searchSpace);
} catch (unexpectedEntries) {
// eslint-disable-next-line no-console
console.log(unexpectedEntries);
for (const [k, v] of unexpectedEntries as Map<string, any>) {
const column = addingColumns.get(k);
if (column === undefined) {
addingColumns.set(k, [v]);
} else {
column.push(v);
}
}
}
}
addingColumns.forEach((value, key) => {
if (value.every(v => typeof v === 'number')) {
newSearchSpace.axes.set(key, new NumericAxis(key, key, 'uniform', [Math.min(...value), Math.max(...value)]));
} else {
newSearchSpace.axes.set(key, new SimpleOrdinalAxis(key, key, 'choice', new Set(value).values()));
}
});
return newSearchSpace;
}
}
export class MetricSpace implements MultipleAxes {
axes = new Map<string, SingleAxis>();
baseName = '';
fullName = '';
constructor(trials: TableObj[]) {
const columns = new Map<string, any[]>();
for (const trial of trials) {
if (trial.acc === undefined) {
continue;
}
// TODO: handle more than number and object
const acc = typeof trial.acc === 'number' ? { default: trial.acc } : trial.acc;
Object.entries(acc).forEach(item => {
const [k, v] = item;
const column = columns.get(k);
if (column === undefined) {
columns.set(k, [v]);
} else {
column.push(v);
}
});
}
columns.forEach((value, key) => {
if (value.every(v => typeof v === 'number')) {
this.axes.set(key, new NumericAxis(key, key, 'uniform', [Math.min(...value), Math.max(...value)]));
} else {
// TODO: skip for now
}
});
}
}
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