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-rw-r--r--WORKSPACE9
-rw-r--r--bower.BUILD18
-rw-r--r--tensorflow/tensorboard/TAG2
-rw-r--r--tensorflow/tensorboard/bower.json6
-rw-r--r--tensorflow/tensorboard/bower/BUILD1
-rw-r--r--tensorflow/tensorboard/dist/tf-tensorboard.html296
6 files changed, 271 insertions, 61 deletions
diff --git a/WORKSPACE b/WORKSPACE
index 6fb8f8794e..b6dbc7463f 100644
--- a/WORKSPACE
+++ b/WORKSPACE
@@ -91,7 +91,7 @@ new_git_repository(
name = "iron_behaviors",
build_file = "bower.BUILD",
remote = "https://github.com/polymerelements/iron-behaviors.git",
- tag = "v1.0.16",
+ tag = "v1.0.17",
)
new_git_repository(
@@ -144,13 +144,6 @@ new_git_repository(
)
new_git_repository(
- name = "iron_icons",
- build_file = "bower.BUILD",
- remote = "https://github.com/polymerelements/iron-icons.git",
- tag = "v1.1.3",
-)
-
-new_git_repository(
name = "iron_iconset_svg",
build_file = "bower.BUILD",
remote = "https://github.com/polymerelements/iron-iconset-svg.git",
diff --git a/bower.BUILD b/bower.BUILD
index 9f4994944f..cb3309a36e 100644
--- a/bower.BUILD
+++ b/bower.BUILD
@@ -143,24 +143,6 @@ filegroup(
)
filegroup(
- name = "iron_icons",
- srcs = [
- "av-icons.html",
- "communication-icons.html",
- "device-icons.html",
- "editor-icons.html",
- "hardware-icons.html",
- "image-icons.html",
- "index.html",
- "iron-icons.html",
- "maps-icons.html",
- "notification-icons.html",
- "places-icons.html",
- "social-icons.html",
- ],
-)
-
-filegroup(
name = "iron_iconset_svg",
srcs = [
"index.html",
diff --git a/tensorflow/tensorboard/TAG b/tensorflow/tensorboard/TAG
index a45fd52cc5..7273c0fa8c 100644
--- a/tensorflow/tensorboard/TAG
+++ b/tensorflow/tensorboard/TAG
@@ -1 +1 @@
-24
+25
diff --git a/tensorflow/tensorboard/bower.json b/tensorflow/tensorboard/bower.json
index 27ca5dc619..20095d9275 100644
--- a/tensorflow/tensorboard/bower.json
+++ b/tensorflow/tensorboard/bower.json
@@ -10,7 +10,6 @@
"iron-flex-layout",
"iron-form-element-behavior",
"iron-icon",
- "iron-icons",
"iron-iconset-svg",
"iron-input",
"iron-menu-behavior",
@@ -41,7 +40,7 @@
"iron-a11y-keys-behavior": "PolymerElements/iron-a11y-keys-behavior#1.1.2",
"iron-ajax": "PolymerElements/iron-ajax#1.2.0",
"iron-autogrow-textarea": "PolymerElements/iron-autogrow-textarea#1.0.12",
- "iron-behaviors": "PolymerElements/iron-behaviors#1.0.16",
+ "iron-behaviors": "PolymerElements/iron-behaviors#1.0.17",
"iron-checked-element-behavior": "PolymerElements/iron-checked-element-behavior#1.0.4",
"iron-collapse": "PolymerElements/iron-collapse#1.0.8",
"iron-dropdown": "PolymerElements/iron-dropdown#1.4.0",
@@ -49,7 +48,6 @@
"iron-flex-layout": "PolymerElements/iron-flex-layout#1.3.0",
"iron-form-element-behavior": "PolymerElements/iron-form-element-behavior#1.0.6",
"iron-icon": "PolymerElements/iron-icon#1.0.8",
- "iron-icons": "PolymerElements/iron-icons#1.1.3",
"iron-iconset-svg": "PolymerElements/iron-iconset-svg#1.0.9",
"iron-input": "PolymerElements/iron-input#1.0.10",
"iron-list": "PolymerElements/iron-list#1.1.7",
@@ -117,7 +115,7 @@
"iron-a11y-keys-behavior": "1.1.2",
"iron-ajax": "1.2.0",
"iron-autogrow-textarea": "1.0.12",
- "iron-behaviors": "1.0.16",
+ "iron-behaviors": "1.0.17",
"iron-checked-element-behavior": "1.0.4",
"iron-collapse": "1.0.8",
"iron-dropdown": "1.4.0",
diff --git a/tensorflow/tensorboard/bower/BUILD b/tensorflow/tensorboard/bower/BUILD
index 90d9910205..4b43b55844 100644
--- a/tensorflow/tensorboard/bower/BUILD
+++ b/tensorflow/tensorboard/bower/BUILD
@@ -22,7 +22,6 @@ filegroup(
"@iron_flex_layout//:iron_flex_layout",
"@iron_form_element_behavior//:iron_form_element_behavior",
"@iron_icon//:iron_icon",
- "@iron_icons//:iron_icons",
"@iron_iconset_svg//:iron_iconset_svg",
"@iron_input//:iron_input",
"@iron_list//:iron_list",
diff --git a/tensorflow/tensorboard/dist/tf-tensorboard.html b/tensorflow/tensorboard/dist/tf-tensorboard.html
index effefbd572..97f9fbbc7f 100644
--- a/tensorflow/tensorboard/dist/tf-tensorboard.html
+++ b/tensorflow/tensorboard/dist/tf-tensorboard.html
@@ -99,7 +99,7 @@ var TF;
var Globals;
(function (Globals) {
// The names of TensorBoard tabs.
- Globals.TABS = ['events', 'images', 'audio', 'graphs', 'distributions'];
+ Globals.TABS = ['events', 'images', 'audio', 'graphs', 'distributions', 'histograms'];
// If true, TensorBoard stores its hash in the URI state.
// If false, tab switching in TensorBoard will not update location hash,
// because hash updates interfere with wct_tests.
@@ -1681,19 +1681,23 @@ var Categorizer;
position: relative;
}
- .card .card-title {
+ .card .card-title, .card .card-subtitle {
flex-grow: 0;
flex-shrink: 0;
- margin-bottom: 10px;
font-size: 14px;
text-overflow: ellipsis;
overflow: hidden;
}
+ .card .card-subtitle {
+ font-size: 12px;
+ }
+
.card .card-content {
flex-grow: 1;
flex-shrink: 1;
display: flex;
+ margin-top: 10px;
}
.card .card-bottom-row {
position: absolute;
@@ -2361,11 +2365,15 @@ var TF;
var url = this.router.histograms(tag, run);
p = this.requestManager.request(url);
return p.then(map(detupler(createHistogram))).then(function (histos) {
+ // Get the minimum and maximum values across all histograms so that the
+ // visualization is aligned for all timesteps.
+ var min = d3.min(histos, function (d) { return d.min; });
+ var max = d3.max(histos, function (d) { return d.max; });
return histos.map(function (histo, i) {
return {
wall_time: histo.wall_time,
step: histo.step,
- bins: convertBins(histo)
+ bins: convertBins(histo, min, max)
};
});
});
@@ -2427,13 +2435,73 @@ var TF;
}());
Backend_1.Backend = Backend;
/** Given a RunToTag, return sorted array of all runs */
- function getRuns(r) { return _.keys(r).sort(); }
+ function getRuns(r) {
+ return _.keys(r).sort(compareTagNames);
+ }
Backend_1.getRuns = getRuns;
/** Given a RunToTag, return array of all tags (sorted + dedup'd) */
function getTags(r) {
- return _.union.apply(null, _.values(r)).sort();
+ return _.union.apply(null, _.values(r)).sort(compareTagNames);
}
Backend_1.getTags = getTags;
+ /** Compares tag names asciinumerically broken into components. */
+ function compareTagNames(a, b) {
+ var ai = 0;
+ var bi = 0;
+ while (true) {
+ if (ai === a.length)
+ return bi === b.length ? 0 : -1;
+ if (bi === b.length)
+ return 1;
+ if (isDigit(a[ai]) && isDigit(b[bi])) {
+ var ais = ai;
+ var bis = bi;
+ ai = consumeNumber(a, ai + 1);
+ bi = consumeNumber(b, bi + 1);
+ var an = parseFloat(a.slice(ais, ai));
+ var bn = parseFloat(b.slice(bis, bi));
+ if (an < bn)
+ return -1;
+ if (an > bn)
+ return 1;
+ continue;
+ }
+ if (isBreak(a[ai])) {
+ if (!isBreak(b[bi]))
+ return -1;
+ }
+ else if (isBreak(b[bi])) {
+ return 1;
+ }
+ else if (a[ai] < b[bi]) {
+ return -1;
+ }
+ else if (a[ai] > b[bi]) {
+ return 1;
+ }
+ ai++;
+ bi++;
+ }
+ }
+ Backend_1.compareTagNames = compareTagNames;
+ function consumeNumber(s, i) {
+ var decimal = false;
+ for (; i < s.length; i++) {
+ if (isDigit(s[i]))
+ continue;
+ if (!decimal && s[i] === '.') {
+ decimal = true;
+ continue;
+ }
+ break;
+ }
+ return i;
+ }
+ function isDigit(c) { return '0' <= c && c <= '9'; }
+ function isBreak(c) {
+ // TODO(jart): Remove underscore when people stop using it like a slash.
+ return c === '/' || c === '_' || isDigit(c);
+ }
/**
* Given a RunToTag and an array of runs, return every tag that appears for
* at least one run.
@@ -2486,28 +2554,53 @@ var TF;
* Takes histogram data as stored by tensorboard backend and converts it to
* the standard d3 histogram data format to make it more compatible and easier
* to visualize. When visualizing histograms, having the left edge and width
- * makes things quite a bit easier.
+ * makes things quite a bit easier. The bins are also converted to have an
+ * uniform width, what makes the visualization easier to understand.
*
* @param histogram A histogram from tensorboard backend.
+ * @param min The leftmost edge. The binning will start on it.
+ * @param max The rightmost edge. The binning will end on it.
+ * @param numBins The number of bins of the converted data. The default of 30
+ * is a sensible default, using more starts to get artifacts because the event
+ * data is stored in buckets, and you start being able to see the aliased
+ * borders between each bucket.
* @return A histogram bin. Each bin has an x (left edge), a dx (width),
* and a y (count).
*
* If given rightedges are inclusive, then these left edges (x) are exclusive.
*/
- function convertBins(histogram) {
+ function convertBins(histogram, min, max, numBins) {
+ if (numBins === void 0) { numBins = 30; }
if (histogram.bucketRightEdges.length !== histogram.bucketCounts.length) {
throw (new Error('Edges and counts are of different lengths.'));
}
- var previousRightEdge = histogram.min;
- return histogram.bucketRightEdges.map(function (rightEdge, i) {
- // Use the previous bin's rightEdge as the new leftEdge
- var left = previousRightEdge;
- // We need to clip the rightEdge because right-most edge can be
- // infinite-sized
- var right = Math.min(histogram.max, rightEdge);
- // Store rightEdgeValue for next iteration
- previousRightEdge = rightEdge;
- return { x: left, dx: right - left, y: histogram.bucketCounts[i] };
+ var binWidth = (max - min) / numBins;
+ var bucketLeft = min; // Use the min as the starting point for the bins.
+ var bucketPos = 0;
+ return d3.range(min, max, binWidth).map(function (binLeft) {
+ var binRight = binLeft + binWidth;
+ // Take the count of each existing bucket, multiply it by the proportion
+ // of overlap with the new bin, then sum and store as the count for the
+ // new bin. If no overlap, will add to zero, if 100% overlap, will include
+ // the full count into new bin.
+ var binY = 0;
+ while (bucketPos < histogram.bucketRightEdges.length) {
+ // Clip the right edge because right-most edge can be infinite-sized.
+ var bucketRight = Math.min(max, histogram.bucketRightEdges[bucketPos]);
+ var intersect = Math.min(bucketRight, binRight) - Math.max(bucketLeft, binLeft);
+ var count = (intersect / (bucketRight - bucketLeft)) *
+ histogram.bucketCounts[bucketPos];
+ binY += intersect > 0 ? count : 0;
+ // If bucketRight is bigger than binRight, than this bin is finished and
+ // there is data for the next bin, so don't increment bucketPos.
+ if (bucketRight > binRight) {
+ break;
+ }
+ bucketLeft = Math.max(min, bucketRight);
+ bucketPos++;
+ }
+ ;
+ return { x: binLeft, dx: binWidth, y: binY };
});
}
Backend_1.convertBins = convertBins;
@@ -2917,10 +3010,11 @@ var TF;
selectedRuns: Array,
xType: String,
dataProvider: Function,
- _initialized: Boolean,
+ _attached: Boolean,
+ _makeChartAsyncCallbackId: { type: Number, value: null }
},
observers: [
- "_makeChart(tag, dataProvider, xType, colorScale, _initialized)",
+ "_makeChart(tag, dataProvider, xType, colorScale, _attached)",
"_changeRuns(_chart, selectedRuns.*)"
],
_changeRuns: function(chart) {
@@ -2936,23 +3030,26 @@ var TF;
reload: function() {
this._chart.reload();
},
- _makeChart: function(tag, dataProvider, xType, colorScale, _initialized) {
- if (!_initialized) {
- return;
+ _makeChart: function(tag, dataProvider, xType, colorScale, _attached) {
+ if (this._makeChartAsyncCallbackId === null) {
+ this.cancelAsync(this._makeChartAsyncCallbackId);
}
- if (this._chart) this._chart.destroy();
- var chart = new TF.DistributionChart(tag, dataProvider, xType, colorScale);
- var svg = d3.select(this.$.chartsvg);
- this.async(function() {
+
+ this._makeChartAsyncCallbackId = this.async(function() {
+ this._makeChartAsyncCallbackId = null;
+ if (!_attached) return;
+ if (this._chart) this._chart.destroy();
+ var chart = new TF.DistributionChart(tag, dataProvider, xType, colorScale);
+ var svg = d3.select(this.$.chartsvg);
chart.renderTo(svg);
this._chart = chart;
}, 350);
},
attached: function() {
- this._initialized = true;
+ this._attached = true;
},
detached: function() {
- this._initialized = false;
+ this._attached = false;
}
});
</script>
@@ -3071,6 +3168,140 @@ var TF;
</script>
</dom-module>
+<dom-module id="tf-histogram-dashboard" assetpath="../tf-histogram-dashboard/">
+ <template>
+ <div id="plumbing">
+ <tf-color-scale id="colorScale" runs="[[runs]]" out-color-scale="{{colorScale}}"></tf-color-scale>
+ </div>
+
+ <tf-dashboard-layout>
+ <div class="sidebar">
+ <div class="sidebar-section">
+ <tf-categorizer id="categorizer" tags="[[_visibleTags]]" categories="{{categories}}"></tf-categorizer>
+ </div>
+ <div class="sidebar-section">
+ <tf-option-selector id="histogramModeSelector" name="Histogram Mode" selected-id="{{_histogramMode}}">
+ <paper-button id="overlay">overlay</paper-button>
+ <paper-button id="offset">offset</paper-button>
+ </tf-option-selector>
+ </div>
+ <div class="sidebar-section">
+ <tf-option-selector id="timePropertySelector" name="Offset Time Axis" selected-id="{{_timeProperty}}">
+ <paper-button id="step">step</paper-button>
+ <paper-button id="relative">relative</paper-button>
+ <paper-button id="wall_time">wall</paper-button>
+ </tf-option-selector>
+ </div>
+ <div class="sidebar-section">
+ <tf-run-selector id="runSelector" runs="[[runs]]" color-scale="[[colorScale]]" out-selected="{{selectedRuns}}"></tf-run-selector>
+ </div>
+ </div>
+
+ <div class="center">
+ <tf-no-data-warning data-type="histogram" show-warning="[[dataNotFound]]"></tf-no-data-warning>
+ <template is="dom-repeat" items="[[categories]]">
+ <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) {