Autogenerated Change: Release TensorBoard at TAG: 24
Change: 130022244
This commit is contained in:
parent
f7c9fb5a97
commit
396ccfe3cb
@ -91,7 +91,7 @@ new_git_repository(
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name = "iron_behaviors",
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build_file = "bower.BUILD",
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remote = "https://github.com/polymerelements/iron-behaviors.git",
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tag = "v1.0.16",
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tag = "v1.0.17",
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)
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new_git_repository(
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@ -143,13 +143,6 @@ new_git_repository(
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tag = "v1.0.8",
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)
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new_git_repository(
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name = "iron_icons",
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build_file = "bower.BUILD",
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remote = "https://github.com/polymerelements/iron-icons.git",
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tag = "v1.1.3",
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)
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new_git_repository(
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name = "iron_iconset_svg",
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build_file = "bower.BUILD",
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18
bower.BUILD
18
bower.BUILD
@ -142,24 +142,6 @@ filegroup(
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],
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)
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filegroup(
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name = "iron_icons",
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srcs = [
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"av-icons.html",
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"communication-icons.html",
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"device-icons.html",
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"editor-icons.html",
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"hardware-icons.html",
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"image-icons.html",
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"index.html",
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"iron-icons.html",
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"maps-icons.html",
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"notification-icons.html",
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"places-icons.html",
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"social-icons.html",
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],
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)
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filegroup(
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name = "iron_iconset_svg",
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srcs = [
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@ -1 +1 @@
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24
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25
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@ -10,7 +10,6 @@
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"iron-flex-layout",
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"iron-form-element-behavior",
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"iron-icon",
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"iron-icons",
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"iron-iconset-svg",
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"iron-input",
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"iron-menu-behavior",
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@ -41,7 +40,7 @@
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"iron-a11y-keys-behavior": "PolymerElements/iron-a11y-keys-behavior#1.1.2",
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"iron-ajax": "PolymerElements/iron-ajax#1.2.0",
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"iron-autogrow-textarea": "PolymerElements/iron-autogrow-textarea#1.0.12",
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"iron-behaviors": "PolymerElements/iron-behaviors#1.0.16",
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"iron-behaviors": "PolymerElements/iron-behaviors#1.0.17",
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"iron-checked-element-behavior": "PolymerElements/iron-checked-element-behavior#1.0.4",
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"iron-collapse": "PolymerElements/iron-collapse#1.0.8",
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"iron-dropdown": "PolymerElements/iron-dropdown#1.4.0",
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@ -49,7 +48,6 @@
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"iron-flex-layout": "PolymerElements/iron-flex-layout#1.3.0",
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"iron-form-element-behavior": "PolymerElements/iron-form-element-behavior#1.0.6",
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"iron-icon": "PolymerElements/iron-icon#1.0.8",
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"iron-icons": "PolymerElements/iron-icons#1.1.3",
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"iron-iconset-svg": "PolymerElements/iron-iconset-svg#1.0.9",
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"iron-input": "PolymerElements/iron-input#1.0.10",
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"iron-list": "PolymerElements/iron-list#1.1.7",
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@ -117,7 +115,7 @@
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"iron-a11y-keys-behavior": "1.1.2",
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"iron-ajax": "1.2.0",
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"iron-autogrow-textarea": "1.0.12",
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"iron-behaviors": "1.0.16",
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"iron-behaviors": "1.0.17",
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"iron-checked-element-behavior": "1.0.4",
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"iron-collapse": "1.0.8",
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"iron-dropdown": "1.4.0",
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@ -22,7 +22,6 @@ filegroup(
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"@iron_flex_layout//:iron_flex_layout",
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"@iron_form_element_behavior//:iron_form_element_behavior",
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"@iron_icon//:iron_icon",
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"@iron_icons//:iron_icons",
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"@iron_iconset_svg//:iron_iconset_svg",
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"@iron_input//:iron_input",
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"@iron_list//:iron_list",
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296
tensorflow/tensorboard/dist/tf-tensorboard.html
vendored
296
tensorflow/tensorboard/dist/tf-tensorboard.html
vendored
@ -99,7 +99,7 @@ var TF;
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var Globals;
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(function (Globals) {
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// The names of TensorBoard tabs.
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Globals.TABS = ['events', 'images', 'audio', 'graphs', 'distributions'];
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Globals.TABS = ['events', 'images', 'audio', 'graphs', 'distributions', 'histograms'];
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// If true, TensorBoard stores its hash in the URI state.
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// If false, tab switching in TensorBoard will not update location hash,
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// because hash updates interfere with wct_tests.
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@ -1681,19 +1681,23 @@ var Categorizer;
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position: relative;
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}
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.card .card-title {
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.card .card-title, .card .card-subtitle {
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flex-grow: 0;
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flex-shrink: 0;
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margin-bottom: 10px;
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font-size: 14px;
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text-overflow: ellipsis;
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overflow: hidden;
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}
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.card .card-subtitle {
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font-size: 12px;
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}
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.card .card-content {
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flex-grow: 1;
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flex-shrink: 1;
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display: flex;
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margin-top: 10px;
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}
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.card .card-bottom-row {
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position: absolute;
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@ -2361,11 +2365,15 @@ var TF;
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var url = this.router.histograms(tag, run);
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p = this.requestManager.request(url);
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return p.then(map(detupler(createHistogram))).then(function (histos) {
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// Get the minimum and maximum values across all histograms so that the
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// visualization is aligned for all timesteps.
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var min = d3.min(histos, function (d) { return d.min; });
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var max = d3.max(histos, function (d) { return d.max; });
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return histos.map(function (histo, i) {
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return {
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wall_time: histo.wall_time,
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step: histo.step,
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bins: convertBins(histo)
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bins: convertBins(histo, min, max)
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};
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});
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});
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@ -2427,13 +2435,73 @@ var TF;
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}());
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Backend_1.Backend = Backend;
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/** Given a RunToTag, return sorted array of all runs */
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function getRuns(r) { return _.keys(r).sort(); }
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function getRuns(r) {
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return _.keys(r).sort(compareTagNames);
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}
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Backend_1.getRuns = getRuns;
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/** Given a RunToTag, return array of all tags (sorted + dedup'd) */
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function getTags(r) {
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return _.union.apply(null, _.values(r)).sort();
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return _.union.apply(null, _.values(r)).sort(compareTagNames);
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}
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Backend_1.getTags = getTags;
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/** Compares tag names asciinumerically broken into components. */
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function compareTagNames(a, b) {
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var ai = 0;
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var bi = 0;
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while (true) {
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if (ai === a.length)
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return bi === b.length ? 0 : -1;
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if (bi === b.length)
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return 1;
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if (isDigit(a[ai]) && isDigit(b[bi])) {
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var ais = ai;
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var bis = bi;
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ai = consumeNumber(a, ai + 1);
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bi = consumeNumber(b, bi + 1);
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var an = parseFloat(a.slice(ais, ai));
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var bn = parseFloat(b.slice(bis, bi));
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if (an < bn)
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return -1;
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if (an > bn)
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return 1;
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continue;
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}
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if (isBreak(a[ai])) {
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if (!isBreak(b[bi]))
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return -1;
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}
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else if (isBreak(b[bi])) {
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return 1;
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}
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else if (a[ai] < b[bi]) {
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return -1;
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}
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else if (a[ai] > b[bi]) {
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return 1;
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}
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ai++;
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bi++;
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}
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}
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Backend_1.compareTagNames = compareTagNames;
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function consumeNumber(s, i) {
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var decimal = false;
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for (; i < s.length; i++) {
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if (isDigit(s[i]))
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continue;
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if (!decimal && s[i] === '.') {
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decimal = true;
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continue;
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}
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break;
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}
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return i;
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}
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function isDigit(c) { return '0' <= c && c <= '9'; }
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function isBreak(c) {
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// TODO(jart): Remove underscore when people stop using it like a slash.
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return c === '/' || c === '_' || isDigit(c);
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}
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/**
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* Given a RunToTag and an array of runs, return every tag that appears for
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* at least one run.
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@ -2486,28 +2554,53 @@ var TF;
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* Takes histogram data as stored by tensorboard backend and converts it to
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* the standard d3 histogram data format to make it more compatible and easier
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* to visualize. When visualizing histograms, having the left edge and width
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* makes things quite a bit easier.
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* makes things quite a bit easier. The bins are also converted to have an
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* uniform width, what makes the visualization easier to understand.
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*
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* @param histogram A histogram from tensorboard backend.
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* @param min The leftmost edge. The binning will start on it.
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* @param max The rightmost edge. The binning will end on it.
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* @param numBins The number of bins of the converted data. The default of 30
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* is a sensible default, using more starts to get artifacts because the event
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* data is stored in buckets, and you start being able to see the aliased
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* borders between each bucket.
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* @return A histogram bin. Each bin has an x (left edge), a dx (width),
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* and a y (count).
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*
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* If given rightedges are inclusive, then these left edges (x) are exclusive.
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*/
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function convertBins(histogram) {
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function convertBins(histogram, min, max, numBins) {
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if (numBins === void 0) { numBins = 30; }
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if (histogram.bucketRightEdges.length !== histogram.bucketCounts.length) {
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throw (new Error('Edges and counts are of different lengths.'));
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}
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var previousRightEdge = histogram.min;
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return histogram.bucketRightEdges.map(function (rightEdge, i) {
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// Use the previous bin's rightEdge as the new leftEdge
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var left = previousRightEdge;
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// We need to clip the rightEdge because right-most edge can be
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// infinite-sized
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var right = Math.min(histogram.max, rightEdge);
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// Store rightEdgeValue for next iteration
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previousRightEdge = rightEdge;
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return { x: left, dx: right - left, y: histogram.bucketCounts[i] };
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var binWidth = (max - min) / numBins;
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var bucketLeft = min; // Use the min as the starting point for the bins.
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var bucketPos = 0;
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return d3.range(min, max, binWidth).map(function (binLeft) {
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var binRight = binLeft + binWidth;
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// Take the count of each existing bucket, multiply it by the proportion
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// of overlap with the new bin, then sum and store as the count for the
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// new bin. If no overlap, will add to zero, if 100% overlap, will include
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// the full count into new bin.
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var binY = 0;
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while (bucketPos < histogram.bucketRightEdges.length) {
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// Clip the right edge because right-most edge can be infinite-sized.
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var bucketRight = Math.min(max, histogram.bucketRightEdges[bucketPos]);
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var intersect = Math.min(bucketRight, binRight) - Math.max(bucketLeft, binLeft);
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var count = (intersect / (bucketRight - bucketLeft)) *
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histogram.bucketCounts[bucketPos];
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binY += intersect > 0 ? count : 0;
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// If bucketRight is bigger than binRight, than this bin is finished and
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// there is data for the next bin, so don't increment bucketPos.
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if (bucketRight > binRight) {
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break;
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}
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bucketLeft = Math.max(min, bucketRight);
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bucketPos++;
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}
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;
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return { x: binLeft, dx: binWidth, y: binY };
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});
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}
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Backend_1.convertBins = convertBins;
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@ -2917,10 +3010,11 @@ var TF;
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selectedRuns: Array,
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xType: String,
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dataProvider: Function,
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_initialized: Boolean,
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_attached: Boolean,
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_makeChartAsyncCallbackId: { type: Number, value: null }
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},
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observers: [
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"_makeChart(tag, dataProvider, xType, colorScale, _initialized)",
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"_makeChart(tag, dataProvider, xType, colorScale, _attached)",
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"_changeRuns(_chart, selectedRuns.*)"
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],
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_changeRuns: function(chart) {
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@ -2936,23 +3030,26 @@ var TF;
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reload: function() {
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this._chart.reload();
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},
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_makeChart: function(tag, dataProvider, xType, colorScale, _initialized) {
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if (!_initialized) {
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return;
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_makeChart: function(tag, dataProvider, xType, colorScale, _attached) {
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if (this._makeChartAsyncCallbackId === null) {
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this.cancelAsync(this._makeChartAsyncCallbackId);
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}
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if (this._chart) this._chart.destroy();
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var chart = new TF.DistributionChart(tag, dataProvider, xType, colorScale);
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var svg = d3.select(this.$.chartsvg);
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this.async(function() {
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this._makeChartAsyncCallbackId = this.async(function() {
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this._makeChartAsyncCallbackId = null;
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if (!_attached) return;
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if (this._chart) this._chart.destroy();
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var chart = new TF.DistributionChart(tag, dataProvider, xType, colorScale);
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var svg = d3.select(this.$.chartsvg);
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chart.renderTo(svg);
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this._chart = chart;
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}, 350);
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},
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attached: function() {
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this._initialized = true;
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this._attached = true;
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},
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detached: function() {
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this._initialized = false;
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this._attached = false;
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}
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});
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</script>
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@ -3071,6 +3168,140 @@ var TF;
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</script>
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</dom-module>
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<dom-module id="tf-histogram-dashboard" assetpath="../tf-histogram-dashboard/">
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<template>
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<div id="plumbing">
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<tf-color-scale id="colorScale" runs="[[runs]]" out-color-scale="{{colorScale}}"></tf-color-scale>
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</div>
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<tf-dashboard-layout>
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<div class="sidebar">
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<div class="sidebar-section">
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<tf-categorizer id="categorizer" tags="[[_visibleTags]]" categories="{{categories}}"></tf-categorizer>
|
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</div>
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<div class="sidebar-section">
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<tf-option-selector id="histogramModeSelector" name="Histogram Mode" selected-id="{{_histogramMode}}">
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<paper-button id="overlay">overlay</paper-button>
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<paper-button id="offset">offset</paper-button>
|
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</tf-option-selector>
|
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</div>
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<div class="sidebar-section">
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<tf-option-selector id="timePropertySelector" name="Offset Time Axis" selected-id="{{_timeProperty}}">
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<paper-button id="step">step</paper-button>
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<paper-button id="relative">relative</paper-button>
|
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<paper-button id="wall_time">wall</paper-button>
|
||||
</tf-option-selector>
|
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</div>
|
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<div class="sidebar-section">
|
||||
<tf-run-selector id="runSelector" runs="[[runs]]" color-scale="[[colorScale]]" out-selected="{{selectedRuns}}"></tf-run-selector>
|
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</div>
|
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</div>
|
||||
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<div class="center">
|
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<tf-no-data-warning data-type="histogram" show-warning="[[dataNotFound]]"></tf-no-data-warning>
|
||||
<template is="dom-repeat" items="[[categories]]">
|
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<tf-collapsable-pane name="[[item.name]]" count="[[_count(item.tags, selectedRuns.*, runToCompressedHistograms.*)]]">
|
||||
<div class="layout horizontal wrap">
|
||||
<template is="dom-repeat" items="[[item.tags]]" as="tag">
|
||||
<template is="dom-repeat" items="[[selectedRuns]]" as="run">
|
||||
<template is="dom-if" if="[[_exists(run, tag, run2tag.*)]]">
|
||||
<div class="card">
|
||||
<span class="card-title">[[tag]]</span>
|
||||
<span class="card-subtitle">[[run]]</span>
|
||||
<div class="card-content">
|
||||
<tf-chart-scaffold tag="[[tag]]" visible-series="[[_array(run)]]" data-provider="[[dataProvider]]">
|
||||
<vz-histogram-timeseries id="chart" time-property="[[_timeProperty]]" mode="[[_histogramMode]]" color-scale="[[_colorScaleFunction]]" on-keyup="toggleSelected" tabindex="2"></vz-histogram-timeseries>
|
||||
</tf-chart-scaffold>
|
||||
<paper-icon-button class="expand-button" icon="fullscreen" on-tap="toggleSelected"></paper-icon-button>
|
||||
</div>
|
||||
</div>
|
||||
</template>
|
||||
</template>
|
||||
</template>
|
||||
</div>
|
||||
</tf-collapsable-pane>
|
||||
</template>
|
||||
</div>
|
||||
</tf-dashboard-layout>
|
||||
|
||||
<style include="dashboard-style"></style>
|
||||
</template>
|
||||
|
||||
<script>
|
||||
Polymer({
|
||||
is: "tf-histogram-dashboard",
|
||||
behaviors: [
|
||||
TF.Dashboard.ReloadBehavior("tf-chart-scaffold"),
|
||||
TF.Backend.Behavior,
|
||||
],
|
||||
properties: {
|
||||
_histogramMode: {
|
||||
type: String,
|
||||
value: "offset"
|
||||
},
|
||||
_timeProperty: {
|
||||
type: String,
|
||||
value: "step"
|
||||
},
|
||||
_visibleTags: {
|
||||
type: Array,
|
||||
computed: "_getVisibleTags(selectedRuns.*, run2tag.*)"
|
||||
},
|
||||
_colorScaleFunction: {
|
||||
type: Function,
|
||||
computed: "_getColorScaleFunction(colorScale)"
|
||||
},
|
||||
colorScale: Object,
|
||||
dataType: {value: "histogram"},
|
||||
},
|
||||
_exists: function(run, tag) {
|
||||
return this.run2tag[run].indexOf(tag) !== -1;
|
||||
},
|
||||
attached: function() {
|
||||
this.async(function() {
|
||||
this.fire("rendered");
|
||||
});
|
||||
},
|
||||
_array: function(x) {
|
||||
return [x];
|
||||
},
|
||||
_count: function(tags) {
|
||||
var targetTags = {};
|
||||
tags.forEach(function(t) {
|
||||
targetTags[t] = true;
|
||||
});
|
||||
var count = 0;
|
||||
var _this = this;
|
||||
this.selectedRuns.forEach(function(r) {
|
||||
_this.run2tag[r].forEach(function(t) {
|
||||
if (targetTags[t]) {
|
||||
count++;
|
||||
}
|
||||
});
|
||||
});
|
||||
return count;
|
||||
},
|
||||
_getVisibleTags: function() {
|
||||
var keys = this.selectedRuns;
|
||||
var dict = this.run2tag;
|
||||
return _.union.apply(null, keys.map(function(k) {return dict[k]}));
|
||||
},
|
||||
_getColorScaleFunction: function() {
|
||||
return this.colorScale.scale.bind(this.colorScale);
|
||||
},
|
||||
toggleSelected: function(e) {
|
||||
var currentTarget = Polymer.dom(e.currentTarget);
|
||||
var parentDiv = currentTarget.parentNode.parentNode;
|
||||
parentDiv.classList.toggle("selected");
|
||||
var chartScaffold = currentTarget.previousElementSibling;
|
||||
if (chartScaffold) {
|
||||
chartScaffold.chart().redraw();
|
||||
}
|
||||
},
|
||||
});
|
||||
</script>
|
||||
</dom-module>
|
||||
|
||||
<dom-module id="tf-image-loader" assetpath="../tf-image-dashboard/">
|
||||
<style>
|
||||
:host {
|
||||
@ -13562,6 +13793,10 @@ Polymer({
|
||||
<template is="dom-if" if="[[_modeIsDistributions(mode)]]">
|
||||
<tf-distribution-dashboard id="distributions" backend="[[_backend]]"></tf-distribution-dashboard>
|
||||
</template>
|
||||
|
||||
<template is="dom-if" if="[[_modeIsHistograms(mode)]]">
|
||||
<tf-histogram-dashboard id="histograms" backend="[[_backend]]"></tf-histogram-dashboard>
|
||||
</template>
|
||||
</div>
|
||||
</paper-header-panel>
|
||||
|
||||
@ -13696,6 +13931,9 @@ Polymer({
|
||||
_modeIsDistributions: function(mode) {
|
||||
return mode === "distributions";
|
||||
},
|
||||
_modeIsHistograms: function(mode) {
|
||||
return mode === "histograms";
|
||||
},
|
||||
selectedDashboard: function() {
|
||||
var dashboard = this.$$("#" + this.mode);
|
||||
if (dashboard == null) {
|
||||
|
Loading…
Reference in New Issue
Block a user