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Release 2.4.0

The 2.4 minor series tracks TensorFlow 2.4.

Features

  • Improved performance for scalar charts with many runs
    • Up to 50% faster network fetch times in some cases (#4050)
    • Up to 90% faster paint time in some cases (#4053)
  • 🧪 Experimental Time Series dashboard
    • View scalars, histograms, and images side-by-side in a combined view
    • Customize the color of specific runs
    • Pin specific charts/images/histograms and share a custom view of your data
    • No additional logging required

TensorBoard.dev updates

  • Added support for uploading Hparams (#3916)
    • Try tensorboard dev upload on a logdir containing hparams!

Bug fixes

  • Docs: fixed image summary tutorial (#4206)
  • Projector Plugin: fixed bookmark loading (#4159), thanks aknoerig@!
  • Graphs: updated TPU-compatible ops list (#4024)

Deprecations

TensorBoard features that depend on TensorFlow APIs now require TensorFlow 2.x installed. Running TensorBoard 2.4.0+ with TensorFlow 1.x installed will not be supported.

Please note that this does not affect data already written to disk; summaries emitted by the TF 1.x tf.summary API are still readable and fully supported by the latest versions of TensorBoard.

Support for Python 3.5 is dropped.

Plugin dashboards have been removed:

  • Beholder: see #3843
  • Debugger V1: replaced by Debugger V2

Release 2.3.0

The 2.3 minor series tracks TensorFlow 2.3.

Features

  • The 30 sec default reload period is now customizable in the Settings UI (#2794)
  • 🧪 Experimental Debugger V2 is now available; see the tutorial on how to use the experimental TensorFlow APIs to spot NaN's in tensors, view graphs generated from executions, and the related lines in the Python source code (#3821)

TensorBoard.dev updates

  • Added support for showing the Distributions tab (#3762)
  • Uploader now displays data statistics in the console while uploading data (#3678)
  • Added new uploader command line flags (#3707)
    • --dry_run: causes the uploader to only read the logdir and display statistics (if --verbose is the default 1) without uploading any data to the server
    • --one_shot: causes the uploader to exit immediately after all existing data in the logdir are uploaded; this mode prints a warning message if the logdir doesn't contain any uploadable data
  • Upload button in the header offers a convenient, copyable command
  • 🧪 Experimental DataFrame API: You can now read Scalars data from TensorBoard.dev as a Pandas DataFrame (learn more here)

Bug fixes

  • Projector plugin
    • Shows data when logs exist in both logdir root and subdirectory (#3694)
    • Fixed incorrect embeddings from TF2 checkpoints (#3679)
    • Added support for binary format, with 2x speedup loading large tensors in some cases (#3685) - thanks @RustingSword
    • Added Colab tutorial for Projector plugin (#3423)
  • Notebooks
    • Increased port scanning from 10 to 100 to better support multi-tenant Notebooks (#3780) - thanks @jerrylian-db
    • Add proxy (e.g. jupyter-server-proxy) support for %tensorboard magics (#3674) - thanks @zac-hopkinson
      • Set the TENSORBOARD_PROXY_URL environment variable export TENSORBOARD_PROXY_URL="/proxy/%PORT%/"
  • Dynamic plugins (Projector, Fairness Indicators, Profiler, What-If Tool) appear when TensorBoard is launched programmatically via Python (#3695)
  • Fixed download links in Custom Scalars (#3794)
  • Updated broken docs (#3440, #3459, #3561, #3681) - thanks @LexusH, @ManishAradwad, @ricmatsui, @robertlugg
  • Better handling of S3-related InvalidRange errors (#3609) - thanks @ahirner
  • Fixed deprecated numpy usage (#3768) - thanks @lgeiger

Deprecations

  • Beholder will be removed in a future release (#3843)
  • Debugger (V1) will be removed in a future release, in favor of the aforementioned V2 version

Misc

The frontend now uses Angular (replaces the Polymer entry point, which will be removed in a future release; still visible at the /legacy.html endpoint) (#3779). If you observe any bugs that do not reproduce under /legacy.html, please file an issue.

For dynamic plugins, please see their respective pages (Fairness Indicators, Profiler, What-If Tool).

Release 2.2.2

Features

  • Some performance improvements to line charts (#3524)
  • Performance improvements in the Text plugin due to batch HTML sanitization (#3529)
  • Performance improvements in backend markdown cleaning for tag rendering (#3599)
  • CSS/layout performance optimization by applying layout/layer bound where possible (#3642)
  • The tensorboard dev list subcommand now reports the total size of stored tensors (used as the backing storage type for Histograms) (#3652)

TensorBoard.dev updates

  • TensorBoard.dev now supports the Histograms plugin, for experiments uploaded starting from this release
    • The tensorboard dev upload subcommand now sends the histograms, when available, so that it can be rendered via the Histograms plugin on TensorBoard.dev
  • This release may support additional plugins in the future, once those plugins are enabled in the TensorBoard.dev service

Breaking changes

  • The experimental and legacy SQLite support (via the --db_import and --db flags) is removed to ease maintenance (#3539)

Release 2.2.1

TensorBoard.dev updates

  • TensorBoard.dev now renders model graphs, for experiments uploaded starting from this release.
    • The tensorboard dev upload subcommand now sends the model graph, when available, so that it can be rendered via the Graphs plugin on TensorBoard.dev.
    • Large node attribute values (which would not be rendered anyway) are filtered out before upload.
    • Graphs that remain larger than 10MB after filtering are not uploaded.
  • The tensorboard dev upload command supports a --plugins option to explicitly indicate the desired plugins for which summary data should be uploaded (#3402, #3492)
  • The tensorboard dev list subcommand now reports the total size of stored binary objects (e.g., graphs) for each experiment (#3464)
  • The tensorboard dev list subcommand now accepts a --json flag to allow parsing the output more easily (#3480)

Features

  • Auto-reload is now disabled when the browser tab is not visible, saving network bandwidth (#3483)
  • New logo used in the favicon (#3406)

Bug fixes

  • Plugin loading: When a plugin fails to load, TensorBoard logs an error and continues, instead of crashing (#3484, #3486)
  • Eliminated sporadic HTTP 500 errors for XHRs that do markdown rendering (#3491)

Release 2.2.0

The 2.2 minor series tracks TensorFlow 2.2.

Features

  • Profile plugin now should be pip installed from tensorboard-plugin-profile. The new version works in Chrome 80 and Firefox, has better model insights and will be more actively maintained.
  • Add S3_ENDPOINT variable (#3368) - thanks @thealphacod3r
  • Confirm that the connection to tensorboard works or change to localhost (#2371) - thanks @miguelmorin
  • Update --reload_multifile_inactive_secs default to 24 hours (#3243)
  • New tensorboard dev update-metadata command allows for updating the name and description of experiments (#3277)
  • Improved organization of artifacts downloaded during export from TensorBoard.dev (#3307)

Bug fixes

  • Fix for #3282 where the tooltip would remain even after the mouse leaves the plot (#3347)
  • Internal fix: HParams summary protos now properly include tensor values (#3386)
  • Fixes to profiling tutorial (#3372 & #3381)

Breaking Changes

Release 2.1.1

Features

  • Uploader: Added ability to upload and modify experiment name and description (#3277)

Breaking changes

Release 2.1.0

The 2.1 minor series tracks TensorFlow 2.1.

Features

  • Debugger: added ability to display Tensors as images, with selectable color map and zooming (#2729, #2764)
  • What-If Tool improvements:
    • Added ability to set custom distance function for counterfactuals (#2607)
    • Added ability to explore counterfactual examples for regression models (#2647)
    • Added ability to consume arbitrary prediction-time information (#2660)
    • Added ability to slice performance statistics by numeric features (in addition to categorical features) (#2678, #2704).
    • Added PR/ROC curves by class for multi-class classification models (#2755)
  • Improvements for plugin developers:
    • Added support for communication between TensorBoard and plugins in iframes (#2309, #2703)
    • (Experimental) Added library for improved plugin integration (#2708)
    • Enabled dynamic plugins in TensorBoard within Colab (#2798)
  • Security improvements, e.g. Content Security Policy configurations
  • Reduced overhead of image, audio, and histogram summary writing API methods (#2899) - thanks @hongjunChoi

Bug fixes

  • What-If Tool:
    • Fixed sometimes-stuck threshold sliders (#2682)
    • Fixed PD plots in notebook mode with py3 kernels (#2669)
    • Fixed info dialogs re. Fairness optimization (#2694)
  • Scalars dashboard: fixed unreliable data loading over slow network connections (#2825)
  • Fixed potential corruption when reading files from disk, when TensorFlow is not installed (#2791)
  • Fixed writing of histogram summaries when using TPUs (#2883) - thanks @hongjunChoi

TensorBoard.dev updates

  • The tensorboard dev list subcommand now provides detailed metadata about each experiment.

Release 2.0.2

Features

  • Improvements to TensorBoard.dev support:
    • New tensorboard dev list subcommand lists all experiments uploaded to TensorBoard.dev (#2903)
    • In the event of a transient backend issue or permanent breaking change, the uploader can now gracefully degrade and print a diagnostic (#2879)

Release 2.0.1

Features

Release 2.0.0

The 2.0 minor series tracks TensorFlow 2.0.

Breaking changes

  • TensorBoard now serves on localhost only by default to avoid unintentional overexposure. To expose TensorBoard to the network, either use a proxy, bind to a specific hostname or IP address by using the --host flag, or explicitly enable the previous behavior of binding on all network interfaces by passing the flag --bind_all. See PR #2589.

  • The --logdir flag no longer supports passing multiple comma-delimited paths, which means that it now supports paths containing literal comma and colon characters, like ./logs/m=10,n=20,lr=0.001 or ./logs/run_12:30:15. To mimic the old behavior, prefer using a tree of symlinks as it works with more plugins, but as a fallback the flag --logdir_spec exposes the old behavior. See PR #2664.

  • Projector plugin visualize_embeddings() API now takes logdir as its first parameter rather than writer (which only supported TF 1.x summary writers). For backwards compatibility TF 1.x writers will still be accepted, but passing the logdir explicitly is preferred since it works without any dependency on TF 1.x or 2.x summary writing. See PR #2665.

  • The namespace tensorboard.summary.* now aliases the summary API symbols in tensorboard.summary.v2.* rather than those in tensorboard.summary.v1.*. The old symbols can still be accessed under the .v1 names. Note that the new v2 API symbols are exposed in TF 2.0 as the new tf.summary.* API and this is normally how they should be used. See PR #2670.

Features

  • Smarter log directory polling can be used by passing --reload_multifile=true to poll all "active" event files in a directory rather than only the last one. This avoids problems where data written to the non-last file never appears. See PR #1867 for details, including how to adjust the "active" threshold.

  • What-If Tool now can sort PD plots by interestingness (#2461)

Release 1.15.0

The 1.15 minor series tracks TensorFlow 1.15.

Features

  • Embeddings projector now shows sprite images in the nearest neighbors list (#2543) - thanks @beasteers
  • When recording hyperparameters, the trial ID can now be customized, for easier integration with existing tuner systems (#2442)
  • Improvements to Colab and Jupyter notebook integration:
    • The TENSORBOARD_BINARY environment variable can now be set to invoke a non-default tensorboard binary (#2386)
    • Error messages are now clearer when the TensorBoard binary fails to launch (#2395)
    • The %tensorboard magic no longer spams log messages when a different version of TensorBoard is already running on the same machine (#2470)
    • The %tensorboard magic can now be used in Jupyter notebooks running on hosts other than localhost (#2407)
  • What-If Tool improvements:
    • Errors running inference are now surfaced in the What-If Tool UI (#2414)
    • Median error stats are now displayed in addition to mean error stats (#2434)
  • Mesh plugin improvements:
    • Now compatible with TensorFlow 2.0 via a new summary_v2 module (#2443)
    • The number of vertices in the mesh can now be dynamic (#2373)
  • Profile dashboard improvements:
    • Wasted time now appears in the node table, and can be used as a sort key (#2525)
    • Memory bandwidth utilization now appears in the dashboard header (#2525)
  • Improvements for plugin developers:
    • Plugins can now be rendered in an iframe whose source is served from the plugin backend, eliminating the need to bundle a frontend with the TensorBoard binary
    • Plugins can now be discovered dynamically and loaded at runtime, by defining a tensorboard_plugins entry point
    • See our example dynamically loaded plugin for a plugin to use as a starting point, plus documentation
    • TensorBoard now uses Polymer 2.7 (#2392, et al.)

Bug fixes

  • #2614 - “Toggle All Runs” button now behaves correctly on the first click when many runs are loaded (PR #2633)
  • Scalar charts should no longer “become tiny” on certain kinds of rendering failures (PR #2605)
  • #2028 - TensorBoard now logs less verbosely with Werkzeug 0.15.0 and up; it now behaves the same across Werkzeug versions (PR #2383)
  • The What-If Tool can now properly compare two regression models in the initial Facets Dive view (PR #2414)
  • Embedding projector metadata view now wraps long strings correctly (PR #2198)

Release 1.14.0

Features

  • New hyperparameters dashboard: see tutorial and demo and summary APIs
  • New dashboard for visualizing meshes and point clouds: see README
  • Graph dashboard now shows Keras conceptual graph: see tutorial and demo
  • Embedding projector now supports the UMAP dimensionality reduction algorithm (learn more about UMAP here) (#1901) - thanks @cannoneyed
  • TensorBoard notebook support is stabilized: in a Colab or Jupyter notebook, run %load_ext tensorboard followed by %tensorboard --logdir ./path/to/logs
  • Profile dashboard improvements:
    • New pod viewer tool to analyze TPU performance (#2111)
    • Now allows capturing profiles from TensorBoard (#1894)
  • What-If Tool improvements:
    • Now available as a notebook widget for Jupyter and Colab: see demo
    • Now shows PR curves and F1 score (#2264)
    • Now supports Cloud AI Platform, including XGBoost models (#2194)
    • Now shows feature-level attributions for individual predictions, as applicable (#2252)
  • Image dashboard now allows scrolling for large images (#2164) - thanks @lr1d
  • Scalar chart smoothing now caps at 0.999 for convenience (#1974) - thanks @flostim
  • Scalar chart scroll-to-zoom behavior now requires holding Alt (#2221)
  • tensorboard now supports a --version command line argument (#2097) - thanks @shashvatshahi1998
  • Python API now defines tensorboard.__version__ in addition to tensorboard.version.VERSION (#2026)

Bug fixes

  • Projector metadata card now formats long words properly (PR #2016) - thanks @makseq
  • #2010 - .tensorboard-info is now world-writable for multi-user *nix systems (PR #2131)
  • #1989 - importlib.reload(tensorboard) now works properly (PR #2005)

Release 1.13.1

Bug fixes

  • #1895 - Fix strftime-related launch error on Windows (PR #1900)
  • #1794 - Fix What-If Tool loading examples without inference (PR #1898)
  • #1914 - Disable the profile dashboard inside Colab, where it doesn’t work
  • #1945 - Fix profile dashboard loading behavior

Release 1.13.0

The 1.13 minor series tracks TensorFlow 1.13.

Compatibility note: As of 1.13, TensorBoard has begun transitioning its own use of some TensorFlow APIs to align with their naming in TF 2.0, and as a result TensorBoard 1.13+ strictly requires TensorFlow 1.13+.

Features

  • What-If tool notebook mode and general improvements
    • Now usable directly inside Jupyter and Colab notebooks (#1662, #1745, #1788)
    • Added comparison of multiple models (#1589, #1672)
    • Added CSV loading model (#1597)
    • Added global partial dependence plots (#1604)
    • Added custom prediction function support (#1842)
  • (Alpha) TensorBoard can be embedded inside Juptyer and Colab notebooks via a %tensorboard magic, after loading the tb.notebook extension (#1813, #1822)
  • Profile dashboard overview page now shows step time breakdown (PR #1683)
  • Line chart "log" scale is now a true log scale (#1507)
  • When no --port flag is specified, TensorBoard will now search for open ports near the default port (6006) if that port is already in use (#1851)

Performance improvements

  • Faster event file loading by caching runtime check (PR #1686) - thanks @abiro

Bug fixes

  • #786 (partial) - Avoid trying to smooth plots of constant y-value (PR #1698)
  • #1515 - Fix image right-click accessiblity in non-Chromium browsers (PR #1561)
  • #1541 - Fix --event_file flag when using --inspect
  • #1566 - Fix error on trying to import "google.protobuf.pyext" (PR #1887)
  • #1567 - Fix display bug on line chart after toggling series selection
  • #1598 - Fix clipping in graph dashboard PNG download (PR #1600)
  • #1601 - Fix chart SVG download option in Firefox
  • #1623 - Fix --path_prefix interpretation
  • #1838 - Fix run selector synchronization across already-loaded dashboards

Release 1.12.2

Bug fixes

  • #1620 - Fix path_prefix flag regression (PR #1623)
  • #1704 - Fix debugger sidebar resizer

Release 1.12.1

Bug fixes

  • #1549 - Run names wrap at all character (PR #1602) - thanks @dgrahn
  • #1610 - Fix Download as PNG for large graph
  • #1684 - Fix bug rendering debugger plugin (PR #1550) - thanks @longouyang

Release 1.12.0

The 1.12 minor series tracks TensorFlow 1.12.

Features

  • New download-as-SVG option for scalar dashboard charts (#1446)
  • Image dashboard should now detect and render SVG images (#1440)
  • What-If Tool example viewer/loader improvements:
    • Support for sampling examples to load (#1504)
    • Support for viewing SequenceExamples (#1513)
    • Improvements to saliency viewing/sorting (#1472)
  • Profile tool shows per-program breakdown, idle time, and ops left out (#1470)

Bug fixes

  • #1463 - What-If tool now handles classes with blank labels (PR #1471)
  • #1468 - Reduce clipping in graph plugin sidebar
  • #1475 - Restore tag filter persistence to URL param and across dashboards
  • #1477 - Fix bug rendering TPU profile dashboard overview page
  • #1480 - Fix projector hanging due to infinite loop (PR #1481)
  • #1491 - Restore spinner on line charts when loading data
  • #1499 - Fix stale/incorrect line charts when filtering by tag (PR #1500)
  • #1505 - Fix 404 console errors in Firefox - thanks @wdirons
  • #1506 - Fix --purge_orphaned_data to allow passing false (PR #1511)
  • #1508 - Make custom scalars chart ignore outliers functionality work
  • #1524 - Preserve line chart zoom level when data refreshes

Release 1.11.0

The 1.11 minor series tracks TensorFlow 1.11.

Highlights

Features

  • Graph dashboard now supports coloring nodes by XLA cluster (PR #1336)
  • Last updated time appears in tooltip for refresh button (PR #1362)
  • Line charts support pan w/ shift key, zoom w/ scroll wheel (PR #1429, #1456)

Performance improvements

  • Better UI animation/scrolling performance (#1311, #1357)
  • Reduced Plottable MouseInteraction overhead on hover (#1333/#1329)
  • Optimized line chart tooltip redraw behavior (#1355)

Bug fixes

  • #982 - Fix spurious 404s for /[[_dataImageSrc]] or /[[_imageURL]] (PR #1315)
  • #1320 - Fix port binding to disallow confusing IPv4/IPv6 port reuse (PR #1449)
  • #1397 - Fix multi-part logdirs to correct expand ~ for user homedir
  • #1396 - Fix "step" chart axis to show only integer ticks
  • #1389 - Fix scalar card titles to omit common prefix (PR #1399)
  • #1403 - Fix scalar chart shrinking problem on fast page changes
  • #1406 - Fix scalar chart tooltip display to better avoid clipping

Release 1.10.0

The 1.10 minor series tracks TensorFlow 1.10.

Changes

  • New logic for loading/launching TensorBoard (PR #1240)
    • Plugin loading now uses new TBLoader API
    • Argument parsing now uses argparse
    • New tb.program.launch() API to launch TB from within Python
  • Sidebars adjusted to be consistent across plugins (PR #1296)
  • tb.summary.image() param order fixed to h, w (PR #1262) - thanks @ppwwyyxx
  • New TPU profile dashboard progress bar for loading tools (PR #1286)

Bug fixes

  • #1260 - Fix missing pie chart in TPU profile input pipeline analyzer
  • #1280 - Fix TPU profile memory viewer issue with XLA compatibility
  • #1287 - Fix dangling UI interaction layer issue in vz-line-chart
  • #1294 - Fix custom scalar dashboard to de-duplicate charts - thanks @lgeiger

Release 1.9.0

The 1.9 minor series tracks TensorFlow 1.9.

Highlights

  • Improved performance with log directories on GCS (Google Cloud Storage) with faster traversal time and reduced bandwidth consumption (PRs #1087, #1226)
  • Profile dashboard improvements, including:
    • New memory viewer tool that visualizes peak memory usage (#1223)
    • Trace viewer tool now supports streaming mode, that dynamically renders a much longer trace (#1128)
    • Op profile tool now shows memory utilization in op details card (#1238)
    • Profile dashboard now supports visualizing data from multiple hosts (#1117)

Features

  • Graph dashboard now allows searching nodes by regex (#1130)
  • New --samples_per_plugin flag to control how many samples are kept (#1138)
  • Better error when --logdir/--db flag is omitted (#1189) - thanks @oxinabox
  • Debugger plugin can now show single elements of string tensors (#1131)

Bug fixes

  • #1107 - Beholder plugin should no longer reserve GPU (PR #1114)
  • #1190 - Beholder plugin summary placeholder no longer interferes with normal summary use and/or Estimator - thanks @TanUkkii007 (PR #1148)
  • #427 and #588 - removed pip package deps on bleach and html5lib (PR #1142)
  • #1191 - fixed debugger plugin UnboundLocalError - thanks @cfroehli
  • #1200 - fixed debugger plugin binary-valued string tensor issues
  • #1201 - fixed "dictionary changed size" race condition in reloader (PR #1235)

Release 1.8.0

The 1.8 minor series tracks TensorFlow 1.8.

Bug fixes

  • #1082 - fixes rendering for certain graphs with metaedges/function nodes
  • #1097 - correction to debugger plugin keras code snippet (PR #1100)
  • #1111 - event reader logic now supports TF 1.8 GetNext() API (PR #1086)

Release 1.7.0

The 1.7 minor series tracks TensorFlow 1.7.

Highlights

Features

  • Debugger tensor value card improvements:
    • Entering new slice/time indices will automatically refresh view (#1017)
    • Clicking title will highlight node in other parts of the UI (#1023)
  • Debugger health pills now show number of NaN/Inf values if any (#1026)

Changes

  • Audio summary playback elements no longer loop by default (PR #1061), but looping can be enabled for individual elements through a right-click option.

Bug fixes

  • #965 - pr_curve_streaming_op no longer results in duplicate plots (PR #1053)
  • #967 - custom scalar margin plots with missing tags now indicate the run
  • #970 - browser back button now works across home page (/) - thanks @brianwa84
  • #990 - apple-touch-icon.png requests no longer trigger 404s - thanks @lanpa
  • #1010 - content no longer intrudes into sidebar on narrow viewports
  • #1016 - CTRL+C now exits TensorBoard even with debugger enabled (PR #975)
  • #1021 - text plugin no longer always shows as inactive on first page load

Release 1.6.0

NOTICE: TensorBoard 1.6.0+ has moved to the tensorboard package name on PyPI: https://pypi.python.org/pypi/tensorboard. Only bugfix updates on 1.5.x will be applied to the old package name (tensorflow-tensorboard). To upgrade to TensorBoard 1.6.0+ we suggest you first pip uninstall tensorflow-tensorboard before doing pip install tensorboard. See "Known Issues" below if you run into problems using TensorBoard after upgrading.

The 1.6 minor series tracks TensorFlow 1.6.

Highlights

Known issues

  • Package tensorboard is installed but command and/or module are missing or have the wrong version - this may be due to conflicts with other packages that provide tensorboard scripts or modules. Please uninstall all such packages including tensorboard, tensorflow-tensorboard and tb-nightly and then reinstall tensorboard.
  • Bazel 0.9.0+ required to build from source - this change was necessary in order to add support for building at Bazel 0.10.0 and above. Please update Bazel.

Release 1.5.1

NOTICE: TensorBoard 1.6.0+ will move to the tensorboard package name on PyPI, instead of using tensorflow-tensorboard. Only bugfix updates on 1.5.x will be applied to the old package name. To upgrade to TensorBoard 1.6.0+ please first pip uninstall tensorflow-tensorboard before doing pip install tensorboard.

The 1.5 minor series tracks TensorFlow 1.5.

Bug fixes

  • #554 - line charts no longer "shrink" after run changes on other tabs
  • #889 - fixed xComponentsCreationMethod default in vz-line-chart
  • #898 - fixed offset of checkbox label in projector dashboard - thanks @marcj
  • #903 - disabled margin plot smoothing to avoid line going out of bounds
  • #916 - made futures dependency py2-only to avoid install failures
  • #924 - fixed graph dashboard bug causing blank PNG download and minimap
  • #926 - made projector plugin API available in pip package

Documentation updates

  • Custom scalars documentation now documents margin plots feature (#878)
  • FAQ updated to describe custom scalars plugin use cases

Release 1.5.0

The 1.5 minor series tracks TensorFlow 1.5.

Highlights

  • New Custom Scalars dashboard, which can display configurable custom line and margin charts based on the same data as the regular Scalars dashboard. See for details: https://github.com/tensorflow/tensorboard/tree/1.5/tensorboard/plugins/custom_scalar
  • Many projector plugin enhancements thanks to @francoisluus, which enable cognitive-assisted labeling via semi-supervised t-SNE
    • t-SNE specific features: semi-supervision (#811) plus perturb (#705) and pause/resume (#691) buttons
    • general features: metadata editor (#753), selection edit mode (#697), edit box for neighbors slider (#733), 2D sprite element zooming (#696)

Features

  • Image dashboard brightness and constrast sliders (#771) - thanks @edmundtong
  • Top-level dashboard tabs now scroll when there are too many to fit (#730)
  • Settable browser window title with --window_title flag (#804) - thanks @tkunic
  • Tag filters are now reflected in the URL, making them saveable (#787)
  • Pane-based dashboards now only load charts from first two panes by default, which should improve responsiveness (#643 defaults tag filter search string to empty, and #871 makes first two panes open by default)
  • Lower latency to serve TensorBoard HTML thanks to preloading in memory (#708)
  • Lazy imports ("import tensorboard as tb") now work for summary APIs (#778)
  • PR curve summaries now have pb (#633) and raw_data_pb (#646) versions

Bug fixes

  • #265 - fixed --logdir to handle Windows drive letters - thanks @shakedel
  • #784 - fixed bug in find similar subgraph algo - thanks @trisolaran
  • Graph plugin fixed to
    • correctly render function nodes (#817)
    • pan to nodes more reliably (#824, #837)
    • rebuild hierarchy if callbacks change to avoid race in rendering (#879)

Release 0.4.0

The 0.4 minor series tracks TensorFlow 1.4.

Features

  • PR Curve plugin has a full-featured new dashboard (#387, #426, many others)
  • PR Curve plugin has new streaming and raw summary-writing ops (#520, #587)
  • Graph plugin has a new "Functions" scene group to show function libraries and links to function calls (#394, #395, #497, #551, others)
  • Graph plugin metanodes are now colored more helpfully (#467)
  • Graph plugin selected run is now persisted to URL (#505)
  • Standard dashboard card header UI is more compact and readable (#430)
  • Pagination limit can now be configured in settings (#535)
  • Text plugin now has op and pb summary writing methods (#510)
  • Reduced boilerplate and cleaner API hooks for custom plugins (#611, #620)
  • Faster initial loads due to improved active plugin detection (#621, #663)
  • Reuse of TCP connections with switch to using HTTP/1.1 (#617)

Bug fixes

  • #477 - fixed URLs to properly URI-encode run and tag names
  • #610 - fixed smoothing algorithm initial value bias - thanks @alexirpan
  • #647 - fixed text plugin decoding error that led to bad markdown processing