PyUp Safety actively tracks 267,799 Python packages for vulnerabilities and notifies you when to upgrade.
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)
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)
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 - Note: As of TensorBoard 2.1.1+, only Python 3 is supported. There will be no further releases for Python 2 as per https://groups.google.com/a/tensorflow.org/forum/!topic/developers/ifEAGK3aPls
Features - Uploader: Added ability to upload and modify experiment name and description (3277) Breaking changes - As per https://groups.google.com/a/tensorflow.org/forum/!topic/developers/ifEAGK3aPls this patch does not support Python 2. Only Python 3 is supported
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.
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) [TensorBoard.dev]: https://tensorboard.dev/
Features - Preview of TensorBoard.dev uploader! Check out <https://tensorboard.dev/> for information and usage instructions.
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)
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][example-plugin] for a plugin to use as a starting point, plus documentation - TensorBoard now uses Polymer 2.7 (2392, et al.) [example-plugin]: https://github.com/tensorflow/tensorboard/tree/1.15/tensorboard/examples/plugins/example_basicreadme 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)
Features - New hyperparameters dashboard: see [tutorial and demo][hparams-docs] and [summary APIs][hparams-apis] - New dashboard for visualizing meshes and point clouds: see [README][mesh-readme] - Graph dashboard now shows Keras conceptual graph: see [tutorial and demo][conceptual-graph-docs] - Embedding projector now supports the [UMAP dimensionality reduction algorithm][umap] ([learn more about UMAP here][umap-tutorial]) (1901) - thanks cannoneyed - [TensorBoard notebook support][notebook-docs] 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][witwidget-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) [conceptual-graph-docs]: https://www.tensorflow.org/tensorboard/r2/graphs [hparams-apis]: https://github.com/tensorflow/tensorboard/blob/1.14/tensorboard/plugins/hparams/api.pyL15 [hparams-docs]: https://www.tensorflow.org/tensorboard/r2/hyperparameter_tuning_with_hparams [mesh-readme]: https://github.com/tensorflow/tensorboard/blob/1.14/tensorboard/plugins/mesh/README.mdmesh-plugin [notebook-docs]: https://www.tensorflow.org/tensorboard/r2/tensorboard_in_notebooks [umap-tutorial]: https://umap-learn.readthedocs.io/en/latest/how_umap_works.html [umap]: https://github.com/lmcinnes/umapumap [witwidget-demo]: https://colab.research.google.com/github/tensorflow/tensorboard/blob/1.14/tensorboard/plugins/interactive_inference/What_If_Tool_Notebook_Usage.ipynb
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
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
Bug fixes - 1620 - Fix path_prefix flag regression (PR 1623) - 1704 - Fix debugger sidebar resizer
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
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
The 1.11 minor series tracks TensorFlow 1.11. Highlights - New What-If Tool dashboard, which provides a simple, intuitive, and powerful visual interface to play with a trained ML model on a set of data with absolutely no code required. See for details: https://github.com/tensorflow/tensorboard/tree/1.11/tensorboard/plugins/interactive_inference 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
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
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)
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)
The 1.7 minor series tracks TensorFlow 1.7. Highlights - (Beta) New Beholder plugin that shows a live video feed of tensor data during model training, by chrisranderson. Caveat: only currently recommended for use where TensorBoard and TensorFlow share a local disk. See for details: https://github.com/tensorflow/tensorboard/tree/1.7/tensorboard/plugins/beholder 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
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 - (Beta) New Profile dashboard, which provides a suite of tools for inspecting TPU performance. See for details: https://github.com/tensorflow/tensorboard/tree/1.6/tensorboard/plugins/profile - (Alpha) New Debugger dashboard, which provides a visual interface to `tfdbg`, the TensorFlow debugger. See for details: https://github.com/tensorflow/tensorboard/tree/1.6/tensorboard/plugins/debugger 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.
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
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)
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