> ## Documentation Index
> Fetch the complete documentation index at: https://wb-21fd5541-feat-cli-docs-generator.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.
# W&B SDK releases
This page includes release notes for the W\&B Python SDK (`wandb` package). For W\&B Server, see [W\&B Server release notes](/release-notes/server-releases).
## Added
* Settings `console_chunk_max_seconds` and `console_chunk_max_bytes` for size- and time-based multipart console logs file chunking.
* Registry API query methods (`Api.registries()`, `Registry.{collections,versions}()`, `Api.registries().{collections,versions}()`) now accept a `per_page` keyword arg to override the default batch size for paginated results.
## Changed
* API keys longer than 40 characters are now supported.
## Fixed
* `run.config` now properly returns a dict when calling `artifact.logged_by()` in v0.22.1.
* `wandb.Api(api_key=...)` now prioritizes the explicitly provided API key over thread-local cached credentials.
* Fixed a rare deadlock in `console_capture.py`.
If you dump thread tracebacks during the deadlock and see the `wandb-AsyncioManager-main` thread stuck on a line in `console_capture.py`: this is now fixed.
* Fixed an issue where TensorBoard sync would sometimes stop working if the tfevents files were being written live.
* `Artifact.manifest` delays downloading **and** generating the download URL for the artifact manifest until it's first used. If the manifest has not been locally modified, `Artifact.size` and `Artifact.digest` can return without waiting to fetch the full manifest.
* Fixed uploading GCS folder references via `artifact.add_reference`.
* The SDK now correctly infers notebooks paths in Jupyter sessions, using th server's root directory, so code saving works in subdirectories (e.g. `code/nested/.ipynb`).
View the [v0.22.3 changelog](https://github.com/wandb/wandb/releases/tag/v0.22.3) on GitHub.
## Fixed
* Possibly fixed some cases where the `output.log` file was not being uploaded.
* Fixed excessive data uploads when calling `run.save()` repeatedly on unchanged files.
View the [v0.22.2 changelog](https://github.com/wandb/wandb/releases/tag/v0.22.2) on GitHub.
## Added
* Optimize artifacts downloads re-verification with checksum caching.
* Lazy loading support for `Api().runs()` to improve performance when listing runs. The new `lazy=True` parameter (default) loads only essential metadata initially, with automatic on-demand loading of heavy fields like config and summary when accessed.
* Add `storage_region` option when creating artifacts. Users can use [CoreWeave AI Object Storage](https://docs.coreweave.com/docs/products/storage/object-storage) by specifying `wandb.Artifact(storage_region="coreweave-us")` when using wandb.ai for faster artifact upload/download on CoreWeave's infrastructure.
## Fixed
* `Api.artifact_exists()` and `Api.artifact_collection_exists()` now raise on encountering timeout errors, rather than (potentially erroneously) returning `False`.
View the [v0.22.1 changelog](https://github.com/wandb/wandb/releases/tag/v0.22.1) on GitHub.
## Notable Changes
This version removes support of MacOS 10.
## Removed
* Remove a build targeting MacOS 10.x due to multiple security and supply chain considerations.
## Fixed
* Resuming a run with a different active run will now raise an error unless you call `run.finish()` first, or call `wandb.init()` with the parameter `reinit='create_new'`.
* Fix `Api().runs()` for wandb server \< 0.51.0 (when `project.internalId` was added to gql API).
* Sweeps: `command` run scripts that `import readline` whether directly or indirectly (e.g. `import torch` on Python 3.13) should no longer deadlock.
View the [v0.22.0 changelog](https://github.com/wandb/wandb/releases/tag/v0.22.0) on GitHub.
## Added
* Add DSPy integration: track evaluation metrics over time, log predictions and program signature evolution to W\&B Tables, and save DSPy programs as W\&B Artifacts (complete program or state as JSON/PKL).
View the [v0.21.4 changelog](https://github.com/wandb/wandb/releases/tag/v0.21.4) on GitHub.
## Changed
* Updated `click` dependency constraint from `>=7.1` to `>=8.0.1`.
## Fixed
* The message "Changes to your wandb environment variables will be ignored" is no longer printed when nothing changed.
View the [v0.21.3 changelog](https://github.com/wandb/wandb/releases/tag/v0.21.3) on GitHub.
## Notable Changes
This version raises errors that would previously have been suppressed during calls to `Artifact.link()` or `Run.link_artifact()`. While this prevents undetected failures in those methods, it is also a breaking change.
## Added
* New settings for `max_end_of_run_history_metrics` and `max_end_of_run_summary_metrics`.
* New `wandb.integration.weave` module for automatically initializing Weave when a W\&B run is active and `weave` is imported.
## Changed
* Errors encountered while linking an artifact are no longer suppressed/silenced, and `Artifact.link()` and `Run.link_artifact()` no longer return `None`.
* The "Run history" and "Run summary" printed at the end of a run are now limited to 10 metrics each.
## Fixed
* Dataclasses in a run's `config` no long raise `Object of type ... is not JSON serializable` when containing real classes as fields to the dataclass.
* `Artifact.link()` and `Run.link_artifact()` should be faster on server versions 0.74.0+, requiring 4-5 fewer unnecessary blocking GraphQL requests.
View the [v0.21.2 changelog](https://github.com/wandb/wandb/releases/tag/v0.21.2) on GitHub.
## Notable Changes
The default ordering for `Api().runs(...)` and `Api().sweeps(...)` is now ascending order based on the runs `created_at` time.
## Added
* Support `first` summary option in `define_metric`.
* Add support for paginated sweeps.
* `pattern` parameter to `Api().run().files` to only get files matching a given pattern from the W\&B backend.
* Add optional `format` key to Launch input JSONSchema to specify a string with a secret format.
## Changed
* `Sweep.name` property will now return user-edited display name if available (falling back to original name from sweep config, then sweep ID as before).
* `Api().runs(...)` and `Api().sweeps(...)` now returns runs in ascending order according to the runs `created_at` time.
* Artifact with large file (>2GB) uploads faster by using parallel hashing on system with more cores.
* Remove the implementation of `__bool__` for the registry iterators to align with python lazy iterators.
## Deprecated
* The `wandb.beta.workflows` module and its contents (including `log_model()`, `use_model()`, and `link_model()`) are deprecated and will be removed in a future release.
## Fixed
* Correct the artifact url for organization registry artifacts to be independent of the artifact type.
* Suffixes on sanitized `InternalArtifact` names have been shortened to 6 alphanumeric characters.
* `wandb.Video` will not print a progress spinner while encoding video when `WANDB_SILENT`/`WANDB_QUIET` environment variables are set.
* Fixed registries fetched using `api.registries()` from having an extra `wandb-registry-` prefix in the name and full\_name fields.
* Fixed a crash that could happen when using `sync_tensorboard`.
* `Api().run(...).upload_file` no longer throws an error when uploading a file in a different path relative to the provided root directory.
* Calling `load()` function on a public API run object no longer throws `TypeError`.
* When a Sweeps run function called by `wandb.agent()` API throws an exception, it will now appear on the logs page for the run. (This previously only happened for runs called by the `wandb agent` CLI command.).
View the [v0.21.1 changelog](https://github.com/wandb/wandb/releases/tag/v0.21.1) on GitHub.
## Notable Changes
This version removes the legacy implementation of the `service` process. This is a breaking change.
## Added
* Setting `x_stats_track_process_tree` to track process-specific metrics such as the RSS, CPU%, and thread count in use for the entire process tree, starting from `x_stats_pid`. This can be expensive and is disabled by default.
* Notes are now returned to the client when resuming a run.
* Added support for creating custom Vega chart presets through the API. Users can now define and upload custom chart specifications that can be then reused across runs with wandb.plot\_table().
## Changed
* Calling `Artifact.link()` no longer instantiates a throwaway placeholder run.
* `wandb` now attempts to use Unix sockets for IPC instead of listening on localhost, making it work in environments with more restrictive permissions (such as Databricks).
* `Api.artifact()` will now display a warning while fetching artifacts from migrated model registry collections.
* The `.length` for objects queried from `wandb.Api` has been deprecated. Use `len(...)` instead.
## Removed
* Removed the legacy python implementation of the `service` process. The `legacy-service` option of `wandb.require` as well as the `x_require_legacy_service` and `x_disable_setproctitle` settings with the corresponding environment variables have been removed and will now raise an error if used.
* Removed the private `wandb.Run._metadata` attribute. To override the auto-detected CPU and GPU counts as well as the GPU type, please use the new settings `x_stats_{cpu_count,cpu_logical_count,gpu_count,gpu_type}`.
## Fixed
* Allow s3 style CoreWeave URIs for reference artifacts.
* Fixed rare bug that made Ctrl+C ineffective after logging large amounts of data.
* Respect `silent`, `quiet`, and `show_warnings` settings passed to a `Run` instance for warnings emitted by the service process.
* `api.Runs` no longer makes an API call for each run loaded from W\&B.
* Correctly parse the `x_extra_http_headers` setting from the env variable.
* `.length` calls the W\&B backend to load the length of objects when no data has been loaded rather than returning `None`.
View the [v0.21.0 changelog](https://github.com/wandb/wandb/releases/tag/v0.21.0) on GitHub.
## Fixed
* `wandb.Image()` was broken in 0.20.0 when given NumPy arrays with values in the range \[0, 1], now fixed.
* wandb.Table: Added new constructor param, `log_mode`, with options `"IMMUTABLE"` and `"MUTABLE"`. `IMMUTABLE` log mode (default) is existing behavior that only allows a table to be logged once. `MUTABLE` log mode allows the table to be logged again if it has been mutated. (@domphan-wandb in [https://github.com/wandb/wandb/pull/9758](https://github.com/wandb/wandb/pull/9758))
* wandb.Table: Added a new `log_mode`, `"INCREMENTAL"`, which logs newly added table data incrementally. (@domphan-wandb in [https://github.com/wandb/wandb/pull/9810](https://github.com/wandb/wandb/pull/9810))
View the [v0.20.1 changelog](https://github.com/wandb/wandb/releases/tag/v0.20.1) on GitHub.
## Notable Changes
This version removes the ability to disable the `service` process. This is a breaking change.
## Added
* Added `merge` parameter to `Artifact.add_dir` to allow overwrite of previously-added artifact files.
* Support for pytorch.tensor for `masks` and `boxes` parameters when creating a `wandb.Image` object.
* `sync_tensorboard` now supports syncing tfevents files stored in S3, GCS and Azure.
* GCS paths use the format `gs://bucket/path/to/log/dir` and rely on application-default credentials, which can be configured using `gcloud auth application-default login`
* S3 paths use the format `s3://bucket/path/to/log/dir` and rely on the default credentials set through `aws configure`
* Azure paths use the format `az://account/container/path/to/log/dir` and the `az login` credentials, but also require the `AZURE_STORAGE_ACCOUNT` and `AZURE_STORAGE_KEY` environment variables to be set. Some other environment variables are supported as well, see [here](https://pkg.go.dev/gocloud.dev@v0.41.0/blob/azureblob#hdr-URLs).
* Added support for initializing some Media objects with `pathlib.Path`.
* New setting `x_skip_transaction_log` that allows to skip the transaction log. Note: Should be used with caution, as it removes the gurantees about recoverability.
* `normalize` parameter to `wandb.Image` initialization to normalize pixel values for Images initialized with a numpy array or pytorch tensor.
## Changed
* Various APIs now raise `TypeError` instead of `ValueError` or other generic errors when given an argument of the wrong type.
* Various Artifacts and Automations APIs now raise `CommError` instead of `ValueError` upon encountering server errors, so as to surface the server error message.
* `wandb.sdk.wandb_run.Run::save` method now requires the `glob_str` argument.
## Removed
* Removed support for disabling the `service` process. The `x_disable_service`/`_disable_service` setting and the `WANDB_DISABLE_SERVICE`/`WANDB_X_DISABLE_SERVICE` environment variable have been deprecated and will now raise an error if used.
* Removed ability to use `wandb.docker` after only importing `wandb`.
* `wandb.docker` is not part of `wandb`'s public interface and is subject to breaking changes. Please do not use it.
* Removed no-op `sync` argument from `wandb.Run::log` function.
* Removed deprecated `wandb.sdk.wandb_run.Run.mode` property.
* Removed deprecated `wandb.sdk.wandb_run.Run::join` method.
## Deprecated
* The `start_method` setting is deprecated and has no effect; it is safely ignored.
* The property `Artifact.use_as` and parameter `use_as` for `run.use_artifact()` are deprecated since these have not been in use for W\&B Launch.
## Fixed
* Calling `wandb.teardown()` in a child of a process that called `wandb.setup()` no longer raises `WandbServiceNotOwnedError`.
* This error could have manifested when using W\&B Sweeps
* Offline runs with requested branching (fork or rewind) sync correctly.
* Log exception as string when raising exception in Job wait\_until\_running method.
* `wandb.Image` initialized with tensorflow data would be normalized differently than when initialized with a numpy array.
* Using `wandb login` no longer prints a warning about `wandb.require("legacy-service")`.
* Logging a `Table` (or other objects that create internal artifacts) no longer raises `ValueError` when logged from a run whose ID contains special characters.
* `wandb.Api` initialized with the `base_url` now respects the provided url, rather than the last login url.
View the [v0.20.0 changelog](https://github.com/wandb/wandb/releases/tag/v0.20.0) on GitHub.
## Added
* Added creation, deletion, and updating of registries in the SDK.
* `artifact.is_link` property to artifacts to determine if an artifact is a link artifact (such as in the Registry) or source artifact.
* `artifact.linked_artifacts` to fetch all the linked artifacts to a source artifact and `artifact.source_artifact` to fetch the source artifact of a linked artifact.
* `run.link_artifact()`, `artifact.link()`, and `run.link_model()` all return the linked artifact upon linking.
* Multipart download for artifact file larger than 2GB, user can control it directly using `artifact.download(multipart=True)`.
* `Project.id` property to get the project ID on a `wandb.public.Project`.
* New public API for W\&B Automations.
* New submodules and classes in `wandb.automations.*` to support programmatically managing W\&B Automations.
* `Api.integrations()`, `Api.slack_integrations()`, `Api.webhook_integrations()` to fetch a team's existing Slack or webhook integrations.
* `Api.create_automation()`, `Api.automation()`/`Api.automations()`, `Api.update_automation()`, `Api.delete_automation()` to create, fetch, edit, and delete Automations.
* Create and edit automations triggered on `RUN_METRIC_CHANGE` events, i.e. on changes in run metric values (absolute or relative deltas).
* Ability to collect profiling metrics for Nvidia GPUs using DCGM. To enable, set the `WANDB_ENABLE_DCGM_PROFILING` environment variable to `true`. Requires the `nvidia-dcgm` service to be running on the machine. Enabling this feature can lead to increased resource usage.
## Fixed
* `run.log_code` correctly sets the run configs `code_path` value.
* Correctly use `WANDB_CONFIG_DIR` for determining system settings file path.
* Prevent invalid `Artifact` and `ArtifactCollection` names (which would make them unloggable), explicitly raising a `ValueError` when attempting to assign an invalid name.
* Prevent pydantic `ConfigError` in Pydantic v1 environments from not calling `.model_rebuild()/.update_forward_refs()` on generated types with ForwardRef fields.
* `wandb.init()` no longer raises `Permission denied` error when the wandb directory is not writable or readable.
* Calling `file.delete()` on files queried via `api.Runs(...)` no longer raises `CommError`.
* Bug introduced in 0.19.1
View the [v0.19.11 changelog](https://github.com/wandb/wandb/releases/tag/v0.19.11) on GitHub.
## Added
* The new `reinit="create_new"` setting causes `wandb.init()` to create a new run even if other runs are active, without finishing the other runs (in contrast to `reinit="finish_previous"`). This will eventually become the default.
* Added `Artifact.history_step` to return the nearest run step at which history metrics were logged for the artifact's source run.
* Added `data_is_not_path` flag to skip file checks when initializing `wandb.Html` with a sting that points to a file.
## Changed
* `Artifact.download()` no longer raises an error when using `WANDB_MODE=offline` or when an offline run exists.
## Removed
* Dropped the `-q` / `--quiet` argument to the `wandb` magic in IPython / Jupyter; use the `quiet` run setting instead.
## Deprecated
* The following `wandb.Run` methods are deprecated in favor of properties and will be removed in a future release (@kptkin in [https://github.com/wandb/wandb/pull/8925](https://github.com/wandb/wandb/pull/8925)):.
* `run.project_name()` is deprecated in favor of `run.project`
* `run.get_url()` method is deprecated in favor of `run.url`
* `run.get_project_url()` method is deprecated in favor of `run.project_url`
* `run.get_sweep_url()` method is deprecated in favor of `run.sweep_url`
## Fixed
* Fixed ValueError on Windows when running a W\&B script from a different drive.
* Fix base\_url setting was not provided to wandb.login.
* `wandb.Html()` no longer raises `IsADirectoryError` with a value that matched a directory on the users system.
View the [v0.19.10 changelog](https://github.com/wandb/wandb/releases/tag/v0.19.10) on GitHub.
## Added
* The `reinit` setting can be set to `"default"`.
* Added support for building artifact file download urls using the new url scheme, with artifact collection membership context.
## Changed
* Boolean values for the `reinit` setting are deprecated; use "return\_previous" and "finish\_previous" instead.
* The "wandb" logger is configured with `propagate=False` at import time, whereas it previously happened when starting a run. This may change the messages observed by the root logger in some workflows.
* Metaflow now requires `plum-dispatch` package.
* Relaxed the `pydantic` version requirement to support both v1 and v2.
* Existing `pydantic` types have been adapted to be compatible with Pydantic v1.
* `wandb.init(dir=...)` now creates any nonexistent directories in `dir` if it has a parent directory that is writeable.
* The server now supports fetching artifact files by providing additional collection information; updated the artifacts api to use the new endpoints instead.
* Paginated methods (and underlying paginators) that accept a `per_page` argument now only accept `int` values. Default `per_page` values are set directly in method signatures, and explicitly passing `None` is no longer supported.
## Fixed
* Calling `wandb.init()` in a notebook finishes previous runs as previously documented.
* Bug introduced in 0.19.0
* Fixed an error being thrown when logging `jpg`/`jpeg` images containing transparency data.
* `wandb.init(resume_from=...)` now works without explicitly specifying the run's `id`.
* Deleting files with the Public API works again.
* Bug introduced in 0.19.1
* Fixed media files not displaying in the UI when logging to a run with a custom storage bucket.
View the [v0.19.9 changelog](https://github.com/wandb/wandb/releases/tag/v0.19.9) on GitHub.
## Fixed
* Media file paths containing special characters (?, \*, ], \[ or \\) no longer cause file uploads to fail in `wandb-core`.
## Changed
* The system monitor now samples metrics every 15 seconds by default, up from 10 seconds.
View the [v0.19.8 changelog](https://github.com/wandb/wandb/releases/tag/v0.19.8) on GitHub.
## Added
* Registry search api.
## Changed
* Changed moviepy constraint to >=1.0.0.
* `wandb.init()` displays more detailed information, in particular when it is stuck retrying HTTP errors.
## Removed
* Removed the private `x_show_operation_stats` setting.
## Fixed
* Fixed incorrect logging of an "wandb.Video requires moviepy \[...]" exception when using moviepy v2.
* `wandb.setup()` correctly starts up the internal service process; this semantic was unintentionally broken in 0.19.2.
* Fixed `TypeError: Object of type ... is not JSON serializable` when using numpy number types as values.
View the [v0.19.7 changelog](https://github.com/wandb/wandb/releases/tag/v0.19.7) on GitHub.
## Added
* Prometheus API support for Nvidia DCGM GPU metrics collection.
## Changed
* Changed Nvidia GPU ECC counters from aggregated to volatile.
## Fixed
* Fixed a performance issue causing slow instantiation of `wandb.Artifact`, which in turn slowed down fetching artifacts in various API methods.
* Some errors from `wandb.Api` have better string representations.
* Artifact.add\_reference, when used with file URIs for a directory and the name parameter, was incorrectly adding the value of `name` to the path of the file references.
* Fixed a bug causing `Artifact.add_reference()` with `checksum=False` to log new versions of local reference artifacts without changes to the reference URI.
View the [v0.19.6 changelog](https://github.com/wandb/wandb/releases/tag/v0.19.6) on GitHub.
## Added
* Added `wandb login --base-url {host_url}` to login as an alias of `wandb login --host {host_url}`.
## Changed
* Temporarily disabled collecting per-core CPU utilization stats.
## Fixed
* Fixed a bug causing `offline` mode to make network requests when logging media artifacts. If you are using an older version of W\&B Server that does not support offline artifact uploads, use the setting `allow_offline_artifacts=False` to revert to older compatible behavior.
* Expand sanitization rules for logged table artifact name to allow for hyphens and dots. This update brings the rules up-to-date with the current rules for artifact names. (Allowing letters, numbers, underscores, hyphens, and dots).
* Correctly handle run rewind settings `fork_from` and `resume_from`.
View the [v0.19.5 changelog](https://github.com/wandb/wandb/releases/tag/v0.19.5) on GitHub.
## Fixed
* Fix incorrectly reported device counts and duty cycle measurements for TPUs with single devices per chip / multiple devices on the host and make TPU metrics sampling more robust.
* Handle non-consecutive TPU device IDs in system monitor.
View the [v0.19.4 changelog](https://github.com/wandb/wandb/releases/tag/v0.19.4) on GitHub.
## Fixed
* Fix `wandb.Settings` update regression in `wandb.integration.metaflow`.
View the [v0.19.3 changelog](https://github.com/wandb/wandb/releases/tag/v0.19.3) on GitHub.
## Added
* Support JWT authentication in wandb-core.
* Add support for logging nested custom charts.
## Changed
* Calling `wandb.init(mode="disabled")` no longer disables all later runs by default. Use `wandb.setup(settings=wandb.Settings(mode="disabled"))` for this instead, or set `mode="disabled"` explicitly in each call to `wandb.init()`.
## Fixed
* The stop button correctly interrupts runs whose main Python thread is running C code, sleeping, etc.
* Remove unintentional print that occurs when inspecting `wandb.Api().runs()`.
* Fix uploading large artifacts when using Azure Blob Storage.
* The `wandb offline` command no longer adds an unsupported setting to `wandb.Settings`, resolving `ValidationError`.
* Fix error when reinitializing a run, caused by accessing a removed attribute.
* Fixed occasional deadlock when using `multiprocessing` to update a single run from multiple processes.
* Prevent errors from bugs in older versions of `botocore < 1.5.76`.
* Fixed various checks against invalid `anonymous` settings value.
## Removed
* The `wandb.wandb_sdk.wandb_setup._setup()` function's `reset` parameter has been removed. Note that this is a private function, even though there appear to be usages outside of the repo. Please `wandb.teardown()` instead of `_setup(reset=True)`.
* In the private `wandb.wandb_sdk.wandb_setup` module, the `logger` and `_set_logger` symbols have been removed.
## Security
* Bump `github.com/go-git/go-git` version to 5.13.0 to address CVE-2025-21613.
* Bump `golang.org/x/net` version to 0.33.0 to address CVE-2024-45338.
View the [v0.19.2 changelog](https://github.com/wandb/wandb/releases/tag/v0.19.2) on GitHub.
## Fixed
* Fixed bug where setting WANDB\_\_SERVICE\_WAIT led to an exception during wandb.init.
## Changed
* `run.finish()` displays more detailed information in the terminal and in Jupyter notebooks.
* Improved error message for failing tensorboard.patch() calls to show the option to call tensorboard.unpatch() first.
* Add projectId to deleteFiles mutation if the server supports it.
## Security
* Bump `golang.org/x/crypto` version to 0.31.0 to address CVE-2024-45337.
View the [v0.19.1 changelog](https://github.com/wandb/wandb/releases/tag/v0.19.1) on GitHub.
## Notable Changes
This version drops Python 3.7 and removes the `wandb.Run.plot_table` method.
This version adds pydantic>=2.6,\<33 as a dependency.
## Changed
* Set default behavior to not create a W\&B Job.
* Add pydantic>=2.6,\<33 as a dependency (@dmitryduev in [https://github.com/wandb/wandb/pull/8649](https://github.com/wandb/wandb/pull/8649) & estellazx.
in [https://github.com/wandb/wandb/pull/8905](https://github.com/wandb/wandb/pull/8905))
## Removed
* Remove `wandb.Run.plot_table` method. The functionality is still available and should be accessed using `wandb.plot_table`, which is now the recommended way to use this feature.
* Drop support for Python 3.7.
## Fixed
* Fix `ultralytics` reporting if there are no positive examples in a validation batch.
* Debug printing for hyperband stopping algorithm printed one char per line.
* Include the missing `log_params` argument when calling lightgbm's `wandb_callback` function.
View the [v0.19.0 changelog](https://github.com/wandb/wandb/releases/tag/v0.19.0) on GitHub.
## Added
* Added `create_and_run_agent` to `__all__` in `wandb/sdk/launch/__init__.py` to expose it as a public API.
## Changed
* Tables logged in offline mode now have updated keys to artifact paths when syncing. To revert to old behavior, use setting `allow_offline_artifacts = False`.
## Deprecated
* The `quiet` argument to `wandb.run.finish()` is deprecated, use `wandb.Settings(quiet=...)` to set this instead.
## Fixed
* Fix `api.artifact()` to correctly pass the `enable_tracking` argument to the `Artifact._from_name()` method.
View the [v0.18.7 changelog](https://github.com/wandb/wandb/releases/tag/v0.18.7) on GitHub.
## Added
* Add a boolean `overwrite` param to `Artifact.add()`/`Artifact.add_file()` to allow overwrite of previously-added artifact files.
## Fixed
* Add missing type hints of the `wandb.plot` module in the package stub.
* Fix limiting azure reference artifact uploads to `max_objects`.
* Fix downloading azure reference artifacts with `skip_cache=True`.
* Fix multipart uploads for files with no content type defined in headers.
* Fixed tensorboard failing to sync when logging batches of images.
* Fixed behavior of `mode='x'`/`mode='w'` in `Artifact.new_file()` to conform to Python's built-in file modes.
* Do not ignore parameter `distribution` when configuring sweep parameters from SDK.
## Changed
* Added internal method, `api._artifact()`, to fetch artifacts so that usage events are not created if not called by an external user.
* Changed default `mode` in `Artifact.new_file()` from `'w'` to `'x'` to accurately reflect existing default behavior.
View the [v0.18.6 changelog](https://github.com/wandb/wandb/releases/tag/v0.18.6) on GitHub.
## Fixed
* Import `Literal` from `typing_extensions` in Python 3.7; broken in 0.18.4.
View the [v0.18.5 changelog](https://github.com/wandb/wandb/releases/tag/v0.18.5) on GitHub.
## Added
* Track detailed metrics for Apple ARM systems including GPU, eCPU, and pCPU utilization, power consumption, and temperature, and memory/swap utilization.
* Allow users to link Registry artifacts without inputting the organization entity name.
* Added a warning message indicating that the `fps` argument will be ignored when creating a wandb.Video object from a file path string or a bytes object.
* Update docstrings for `logged_artifacts` and `used_artifacts` methods in `Run` class.
* The `_show_operation_stats` setting enables a preview of a better `run.finish()` UX.
## Fixed
* Log power on AMD MI300X series GPUs.
* Fixed typing issue of `wandb.Api`.
* Ensure artifact objects are fully updated on `Artifact.save()`.
## Changed
* Updated minimum version of `sentry-sdk` to 2.0.0 to address deprecation warnings.
View the [v0.18.4 changelog](https://github.com/wandb/wandb/releases/tag/v0.18.4) on GitHub.
## Added
* Add the ability to monitor the utilization metrics of Google's Cloud TPU devices.
## Fixed
* Capture Nvidia GPU stats on Windows.
* Fixed a regression introduced in v0.18.2 that affected capturing the names of Nvidia GPU devices.
* `run.log_artifact()` no longer blocks other data uploads until the artifact upload finishes.
* Fixed media dependency for rdkit updated from `rdkit-pypi` to `rdkit`.
* Saving an artifact with many large files no longer exhausts OS threads.
## Changed
* After `artifact = run.log_artifact()`, you must use `artifact.wait()` before operations that rely on the artifact having been uploaded. Previously, this wasn't necessary in some cases because `run.log_artifact()` blocked other operations on the run.
View the [v0.18.3 changelog](https://github.com/wandb/wandb/releases/tag/v0.18.3) on GitHub.
## Added
* Add `upsert_run_queue` method to `wandb.Api`.
* Add `tags` parameter to `wandb.Api.artifacts()` to filter artifacts by tag.
## Fixed
* Update the signature and docstring of `wandb.api.public.runs.Run.log_artifact()` to support artifact tags like `Run` instances returned by `wandb.init()`.
* Add docstring for `wandb.watch` to support auto-complete.
* Fix glob matching in define metric to work with logged keys containing `/`.
* Allow `a\.b` syntax in run.define\_metric to refer to a dotted metric name.
* NOTE: Not fixed if using `wandb.require("legacy-service")`
* Fix Unknown image format error when uploading a gif through tensorboard.
* Fix `OSError` from calling `Artifact.add_file` with file paths on mounted filesystems.
* Restored compatibility for macOS versions \<== 10.15 for wandb-core.
View the [v0.18.2 changelog](https://github.com/wandb/wandb/releases/tag/v0.18.2) on GitHub.
## Fixed
* Allow all users to read cache files when core is enabled.
* Infinite scalars logged in TensorBoard are uploaded successfully rather than skipped.
* Properly respect `WANDB_ERROR_REPORTING=false`. This fixes a regression introduced in 0.18.0.
## Changed
* Remove sentry logging for sendLinkArtifact.
* Default to capturing requirements.txt in Run.log\_code.
View the [v0.18.1 changelog](https://github.com/wandb/wandb/releases/tag/v0.18.1) on GitHub.
## Notable Changes
This version switches `wandb` to a new backend by enabling `wandb.require("core")` by default. This should not be a breaking change, but the new backend may have unexpected differences in behavior for legacy functionality and rare edge cases.
## Added
* Add support for artifact tags, via `Artifact.tags` and `Run.log_artifact()`.
## Fixed
* Detect the notebook name in VS Code's built-in jupyter server.
## Changed
* The new "core" backend, previously activated using wandb.require("core"), is now used by default. To revert to the legacy behavior, add `wandb.require("legacy-service")` at the beginning of your script. Note: In a future minor release, the option to disable this new behavior will be removed.
View the [v0.18.0 changelog](https://github.com/wandb/wandb/releases/tag/v0.18.0) on GitHub.
## Changed
* Changed the default system metrics sampling interval to 10 seconds without averaging, while allowing custom intervals via `wandb.init(settings=wandb.Settings(_stats_sampling_interval=...))`.
## Deprecated
* `define_metric(summary='best', goal=...)` is deprecated and soon will be removed, use `define_metric(summary='min')` or `define_metric(summary='min')` instead.
View the [v0.17.9 changelog](https://github.com/wandb/wandb/releases/tag/v0.17.9) on GitHub.
## Added
* Capture SM (Streaming Multiprocessor), memory, and graphics clock speed (MHz), (un)corrected error counts, fan speed (%), and encoder utilization for Nvidia GPU devices when using core.
* Allow iterating over `wandb.Config` like a dictionary.
* PR curves, images and histograms are supported when using TensorBoard with core enabled.
* Added `wandb.require("legacy-service")` as the opt-out analog of `wandb.require("core")`.
## Fixed
* Avoid leaving behind wandb-core process if user hits Ctrl+C twice.
* Fix deprecation warnings arising from NumPy >= 2.1 by removing `newshape` argument from `numpy.reshape`.
* Skip uploading/downloading GCS reference artifact manifest entries corresponding to folders.
## Deprecated
* Ability to disable the service process (`WANDB__DISABLE_SERVICE`) is deprecated and will be removed in the next minor release.
View the [v0.17.8 changelog](https://github.com/wandb/wandb/releases/tag/v0.17.8) on GitHub.
## Fixed
* Ensure Nvidia GPU metrics are captured if `libnvidia-ml.so` is unavailable when using core.
* Allow `define_metric("x", step_metric="x")` when using core.
* Correctly upload empty files when using core.
* Fix occasional "send on closed channel" panic when finishing a run using core.
View the [v0.17.7 changelog](https://github.com/wandb/wandb/releases/tag/v0.17.7) on GitHub.
## Added
* Specify job input schemas when calling manage\_config\_file or manage\_wandb\_config to create a nicer UI when launching the job.
* Use the filesystem rather than protobuf messages to transport manifests with more than 100k entries to the core process.
* Adds the `box3d` constructor for `Box3D`.
## Changed
* `run.define_metric()` raises an error when given extraneous arguments.
* In disabled mode, use the `wandb.sdk.wandb_run.Run` class instead of `wandb.sdk.wandb_run.RunDisabled`, which has been removed.
* When `WANDB_MODE = offline` calling `artifact.download()` now throws an error instead of stalling.
## Fixed
* Correctly handle directory stubs when logging external artifact in azure storage account with Hierarchical Namespace enabled.
* Docstring in `api.runs()` regarding default sort order, missed in [https://github.com/wandb/wandb/pull/7675](https://github.com/wandb/wandb/pull/7675).
View the [v0.17.6 changelog](https://github.com/wandb/wandb/releases/tag/v0.17.6) on GitHub.
## Added
* When using wandb-core, support multipart uploads to S3.
## Changed
* `run.finish()` may raise an exception in cases where previously it would `os._exit()`.
* `run.link_artifact()` can now surface server errors.
## Fixed
* Handle `path_prefix`es that don't correspond to directory names when downloading artifacts.
* Fix creating or updating an artifact with the `incremental=True` flag.
* Use filled resource\_arg macros when submitting W\&B Launch jobs to AmazonSageMaker.
View the [v0.17.5 changelog](https://github.com/wandb/wandb/releases/tag/v0.17.5) on GitHub.
## Added
* Support queue template variables in launch sweep scheduler jobs.
## Fixed
* Use `sys.exit()` instead of `os._exit()` if an internal subprocess exits with a non-zero code.
* Fix an occasional race condition when using `core` that could affect run logs.
* Fix OSError on `Artifact.download(skip_cache=True)` when encountering different filesystems.
View the [v0.17.4 changelog](https://github.com/wandb/wandb/releases/tag/v0.17.4) on GitHub.
## Fixed
* Correctly name the netrc file on Windows as `_netrc`.
* With core enabled, nested `tqdm` bars show up correctly in the Logs tab.
* Fix W\&B Launch registry ECR regex separating tag on forward slash and period.
View the [v0.17.3 changelog](https://github.com/wandb/wandb/releases/tag/v0.17.3) on GitHub.
## Added
* Add prior runs when creating a sweep from the CLI.
## Fixed
* Fix issues with `numpy>=2` support.
* Fix "UnicodeDecodeError: 'charmap'" when opening HTML files on Windows by specifying UTF-8 encoding.
* Ensure `Artifact.delete()` on linked artifacts only removes link, not source artifact.
* Sweep runs no longer appear to be resumed when they are not by @TimH98 [https://github.com/wandb/wandb/pull/7684](https://github.com/wandb/wandb/pull/7684).
## Changed
* Upgrade github.com/vektah/gqlparser/v2 from 2.5.11 to 2.5.16.
View the [v0.17.2 changelog](https://github.com/wandb/wandb/releases/tag/v0.17.2) on GitHub.
## Added
* Added `api.runs().histories()` to fetch history metrics for runs that meet specified conditions.
* Display warning when Kubernetes pod fails to schedule.
* Added `ArtifactCollection.save()` to allow persisting changes.
* Added the ability to overwrite history of previous runs at an arbitrary step and continue logging from that step.
* Added new Workspace API for programatically editing W\&B Workspaces.
* Added `Artifact.unlink()` to allow programmatic unlinking of artifacts.
* Added basic TensorBoard support when running with `wandb.require("core")`.
* The TensorBoard tab in W\&B will work.
* Charts show up in W\&B, possibly better than when running without core.
* Not all types of data are supported yet. Unsupported data is not shown in charts.
## Fixed
* Fix `define_metric` behavior for multiple metrics in `shared` mode.
* Correctly pass in project name to internal api from run while calling run.use\_artifact().
* Correctly upload console output log files when resuming runs enabled with `console_multipart` setting by @kptkin in [https://github.com/wandb/wandb/pull/7694](https://github.com/wandb/wandb/pull/7694) and @dmitryduev in [https://github.com/wandb/wandb/pull/7697](https://github.com/wandb/wandb/pull/7697).
* Interpret non-octal strings with leading zeros as strings and not integers in sweep configs by @KyleGoyette [https://github.com/wandb/wandb/pull/7649](https://github.com/wandb/wandb/pull/7649).
* Support Azure repo URI format in Launch @KyleGoyette [https://github.com/wandb/wandb/pull/7664](https://github.com/wandb/wandb/pull/7664).
* Fix path parsing for artifacts with aliases containing forward slashes.
* Add missing docstrings for any public methods in `Api` class.
* Correctly add latest alias to jobs built by the job builder @KyleGoyette [https://github.com/wandb/wandb/pull/7727](https://github.com/wandb/wandb/pull/7727).
## Changed
* Option to change naming scheme for console output logs from `output.log` to `logs/YYYYMMDD_HHmmss.ms_output.log`.
* Require `unsafe=True` in `use_model` calls that could potentially load and deserialize unsafe pickle files by @anandwandb [https://github.com/wandb/wandb/pull/7663](https://github.com/wandb/wandb/pull/7663).
* Update order in api.runs() to ascending to prevent duplicate responses by @thanos-wandb [https://github.com/wandb/wandb/pull/7675](https://github.com/wandb/wandb/pull/7675).
* Eliminate signed URL timeout errors during artifact file uploads in core.
## Deprecated
* Deprecated `ArtifactCollection.change_type()` in favor of `ArtifactCollection.save()`.
View the [v0.17.1 changelog](https://github.com/wandb/wandb/releases/tag/v0.17.1) on GitHub.
## Notable Changes
Renamed `wandb.plots` to `wandb.plot`, renamed all integrations from `wandb.` to `wandb.integration.`, and removed the `[async]` extra.
This version packages the `wandb-core` binary, formerly installed by the `wandb-core` Python package on PyPI. The `wandb-core` package is now unused and can be uninstalled.
## Added
* The `wandb` package now includes the `wandb-core` binary.
* `wandb-core` is a new and improved backend for the W\&B SDK that focuses on performance, versatility, and robustness.
* Currently, it is opt-in. To start using the new backend, add `wandb.require("core")` to your script after importing `wandb`.
* `wandb-core` now supports Artifact file caching by @moredatarequired in [https://github.com/wandb/wandb/pull/7364](https://github.com/wandb/wandb/pull/7364) and [https://github.com/wandb/wandb/pull/7366](https://github.com/wandb/wandb/pull/7366).
* Added artifact\_exists() and artifact\_collection\_exists() methods to Api to check if an artifact or collection exists.
* `wandb launch -u ` creates and launches a job from the given source code.
## Fixed
* Prevent crash on `run.summary` for finished runs.
* Correctly report file upload errors when using wandb-core.
* Implemented a stricter check for AMD GPU availability.
* Fixed `run.save()` on Windows.
* Show a warning instead of failing when using registries other than ECR and GAR with the Kaniko builder.
* Fixed `wandb.init()` type signature including `None`.
## Changed
* When using `wandb-core` need to specify a required flag (`wandb.require("core")`) to enable it, before it was picked up automatically.
* Use ETags instead of MD5 hashes for GCS reference artifacts.
## Removed
* Removed the deprecated `wandb.plots.*` functions and top-level third-party integrations `wandb.[catboost,fastai,keras,lightgbm,sacred,xgboost]`. Please use `wandb.plot` instead of `wandb.plots` and `wandb.integration.[catboost,fastai,keras,lightgbm,sacred,xgboost]` instead of `wandb.[catboost,fastai,keras,lightgbm,sacred,xgboost]`.
* Removed the `[async]` extra and the `_async_upload_concurrency_limit` setting.
* Removed undocumented settings: `_except_exit` and `problem`.
View the [v0.17.0 changelog](https://github.com/wandb/wandb/releases/tag/v0.17.0) on GitHub.
## Added
* Added support for overriding kaniko builder settings in the agent config.
* Added link to the project workspace of a run in the footer.
* Added support for overriding stopped run grace period in the agent config.
* Added setting (`_disable_update_check`) to disable version checks during init.
* `WandbLogger.sync` in the OpenAI Fine-Tuning integration gets a new `log_datasets` boolean argument to turn off automatic logging of datasets to Artifacts.
* Reduced default status print frequency of launch agent. Added verbosity controls to allow for increased status print frequency and printing debug information to stdout.
## Changed
* Limit policy option on artifact cli's put() to choices, \["mutable", "immutable"].
* Updated artifact public api methods to handle nullable Project field on the ArtifactSequence/ArtifactCollection type, based on gorilla server changes.
## Fixed
* Fixed `run.save()` not working with files inside `run.dir`, introduced in previous release.
* Fixed rare panic during large artifact uploads.
* Fixed wandb.login causing runs not to be associated with launch queue.
* Fixed job artifact download failing silently and causing run crash when using W\&B Launch by @KyleGoyette [https://github.com/wandb/wandb/pull/7285](https://github.com/wandb/wandb/pull/7285).
* Fix handling of saving training files to Artifacts in the OpenAI Fine-Tuning integration.
View the [v0.16.6 changelog](https://github.com/wandb/wandb/releases/tag/v0.16.6) on GitHub.
## Added
* Added feature to move staging files to cache (instead of copying) for mutable artifact file uploads when caching is enabled.
* Added support to skip caching files to the local filesystem while uploading files to artifacts.
* Added support to skip staging artifact files during upload by selecting a storage policy.
* Preliminary support for forking a run using `wandb.init(fork_from=...)`.
* `run.save()` accepts `pathlib.Path` values;.
## Changed
* When printing the run link point to the workspace explicitly.
## Fixed
* In case of transient server issues when creating the wandb API key kubernetes secret, we'll retry up to 5 times.
## Removed
* When printing run's information in the terminal remove links to jobs.
View the [v0.16.5 changelog](https://github.com/wandb/wandb/releases/tag/v0.16.5) on GitHub.
## Added
* Added ability to change artifact collection types.
* Add support for installing deps from pyproject.toml.
* Support kaniko build with user-provided pvc and docker config.
* Added ability to import runs between W\&B instances.
## Changed
* Wandb-core rate-limits requests to the backend and respects RateLimit-\* headers.
by @timoffex in [https://github.com/wandb/wandb/pull/7065](https://github.com/wandb/wandb/pull/7065)
## Fixed
* Fix passing of template variables in the sweeps-on-launch scheduler.
* Link job artifact to a run to be specified as input.
* Fix sagemaker entrypoint to use given entrypoint.
* Parse upload headers correctly.
* Properly propagate server errors.
* Make file upload faster by using parallelism.
* Don't send git data if it's not populated.
* Fix console logging resumption, avoid overwrite.
* Remove hostname validation when using --host on wandb login.
* Don't discard past visualizations when resuming a run.
* Avoid retrying on conflict status code.
* Fix visualization config merging for resumed runs in wandb-core.
* Replace usage of standard library's json with `segmentio`'s.
* Remove stderr as writer for the logs.
* Disable negative steps from initialization.
* Fix report loading in pydantic26.
* Revert "make upload request async to support progress reporting (#6497)".
* Fix entrypoint specification when using a Dockerfile.wandb.
* Fix stream releasing probe handle too early.
* Always attempt to pull latest image for local container.
View the [v0.16.4 changelog](https://github.com/wandb/wandb/releases/tag/v0.16.4) on GitHub.
## Enhancements
* Generate data type info in core.
* Add support for Launch.
* Added option to control number of grouped sampled runs in reports.
* Add shared mode to enable multiple independent writers to the same run.
* Reduce artifact download latency via optional cache copy + threads.
* Add partial file downloads, via directory prefix.
* Update the Diffusers Integration.
* Update Ultralytics Integration.
* Add Pytorch Lightning Fabric Logger.
* Update go packages.
## Fixes
* Remove project and runner fields from agent config.
* Recognize deleted k8s jobs as failed.
* Warn of extra fields in environment block instead of erroring.
* Entity override bug where ENVVAR is prioritized over kwargs.
* Local container runner doesn't ignore override args.
* Merge-update config with sweep/launch config.
* Fix retry logic in wandb-core and system\_tests conftest.
* Use RW locks in system monitor's assets management.
* Set build context to entrypoint dir if it contains Dockerfile.wandb.
* Security(launch): Mount wandb api key in launch job pods from a k8s secret.
* Wandb job create should not look for requirements.txt if Dockerfile.wandb is next to entrypoint.
* Fix \_parse\_path when only id is passed to wandb.Api().run().
* Update video.py: Fix fps bug.
* Clean up temp folders.
* Fix long artifact paths on Windows.
* Update Report API to work with pydantic2.6.
* Fetch all commits to enable checking out by sha.
* Dont swallow exceptions in pyagent.
* Artifact file upload progress in nexus.
* Exercise caution in system monitor when rocm-smi is installed on a system with no amd gpus.
* Typo in cli.py.
* Remove deadsnakes from accelerator build step.
View the [v0.16.3 changelog](https://github.com/wandb/wandb/releases/tag/v0.16.3) on GitHub.
## Enhancements
* Refactor store logic and add store writer.
* Add AMD GPU monitoring.
* Add console log file upload.
* Add registry uri field to builders.
* Add `wandb beta sync` feature to upload runs to W\&B.
* CLI supports allow-listed queue parameters.
* Add support for requirements and patch.diff.
* Capture SLURM-related env vars in metadata.
* \--priority flag on `wandb launch` command to specify priority when enqueuing jobs.
* Add verify feature to wandb login.
* Sweeps on Launch honors selected job priority for sweep runs.
* Commence operation SDKrab.
* Make upload request async to support progress reporting.
* Add TensorBoard log dir watcher.
* Upload wandb-summary.json and config.yaml files.
## Fixes
* Update error message and remove extra.
* Clean up issues with file sending.
* Add jitter to retry clients' backoff strategy.
* Only skip file download if digest matches.
* Fix resume and add tests.
* Capture errors from the creation of k8s job from yaml.
* Get default entity before checking template vars.
* Remove run creation for artifact downloads if not using core.
* Retrieve ETag for ObjectVersion instead of Object for versioned buckets.
* Revert #6759 and read object version etag in place.
* Put back the upload file count.
* Add send cancel request to sender.
* Check errors in memory monitoring.
* Add job\_type flag in CLI to allow override of job\_type.
* Handle ultralytics utils import refactor.
* Download artifacts with wandb-core without an active run.
* Fix error logging matplotlib scatter plot if the minimum version of plotly library is not met.
* Allow overriding the default .netrc location with NETRC env var.
View the [v0.16.2 changelog](https://github.com/wandb/wandb/releases/tag/v0.16.2) on GitHub.
## Enhancements
* Remove recursive download.
* Add debounce summary in handler.
* Fix bug in ultralytics import and version pinning.
* Support template variables when queueing launch runs.
* Add --skip-console option to offline sync cli command.
* Add basic graphql versioning mechanism.
* Add Apple M\* GPU stats monitoring.
* Add helper to load wandb.Config from env vars.
* Port OpenAI WandbLogger for openai-python v1.0.
* Fix version check for openAI WandbLogger.
* Diffusers autologger.
* Adding parameter to image to specify file type jpg, png, bmp, gif.
## Fixes
* Make offline sync work properly.
* Fix run existence check to not depend on files being uploaded in the run.
* Gcp storage uri verifaction failed due to improper async wrapping.
* Updating summary with nested dicts now doesn't throw an error.
* Add prioritization mode to RunQueue create.
* Create symlink to the server logs in the runs folder.
* Single value problem in wandb/wandb\_torch.py::log\_tensor\_stats.
* Tmin vs tmax in wandb/wandb\_torch.py::log\_tensor\_stats.
* Minor fix up for non server cases.
* Make old settings more robust.
* Handle tags when resuming a run.
View the [v0.16.1 changelog](https://github.com/wandb/wandb/releases/tag/v0.16.1) on GitHub.
## Enhancements
* Add nested config support.
* Finish artifact saver.
* Add sync file counts in the footer.
* Implement directory watcher and related functionality.
* Run agent on an event loop.
* Add sampled history.
* Prototype for models api.
* Register sweep scheduler virtual agents async.
* Make file uploads work with local.
* Allow users to log custom chart tables in a different section.
* Generalize uploader to filemanager to allow downloads.
* Drop python 3.6 support.
* Delete staging files in Nexus.
* Set up artifact downloads to use sdk nexus core.
* Add file upload progress and make completion callback a list of callbacks.
* Add wandb.ai/run-id label to jobs.
## Fixes
* Ensures that complete run.config is captured in SageMaker.
* Improve error handling for gitlib for FileNotFoundErrors.
* Increase max message size, handle errors.
* Agent better balances multiple queues.
* Remove versioning enabled check in GCS reference handler.
* Add google-cloud-aiplatform to launch shard.
* Add use\_artifact as passthrough messages.
* Adjust vertex environment variables.
* Update artifacts cache file permissions for NamedTemporaryFile.
* Fix a number of issues.
* Saving mlp figure to buffer and reading with PIL should specify format.
* Send content-length, check response status code in uploader.
* Fix step logic when resuming runs with no metrics logged.
* Hook\_handle being set to list instead of dict on unhook.
* Verify gcp credentials before creating vertex job.
* Add load option to docker buildx.
* Fix perf regressions in artifact downloads and fix file download location.
* Add warning when `log_code` can't locate any files.
* Adjust ipython hooks for v8.17.
View the [v0.16.0 changelog](https://github.com/wandb/wandb/releases/tag/v0.16.0) on GitHub.
## Enhancements
* Implement config debouncing mechanism.
* Fix channel swapping on ultrlytics classification task.
* Implement nexus alpha cpp interface.
* Expose system metrics in the run object (PoC).
* Pin ultralytics version support to `v8.0.186`.
## Fixes
* Get logs from failed k8s pods.
* Allow adding s3 bucket as reference artifact.
* Fix race condition in agent thread clean up.
* Don't assume run and its i/o artifacts are in the same project.
* Fix wandb.Api().run(run\_name).log\_artifact(artifact).
* ValueError with None value in sweep.
* Fix typo in s3 handler.
* Fix the argument order for new argument target\_fraction.
* Fix potential race in config debouncer.
* Fix graphql type mapping.
* Fix concurrency limit in uploader.
View the [v0.15.12 changelog](https://github.com/wandb/wandb/releases/tag/v0.15.12) on GitHub.
## Enhancements
* Add support for code saving in script mode.
* Add support for `policy=end` in `wandb.save`.
* Add system info to metadata.
* Add nvidia gpu system info to metadata.
* Delete run queues with public api.
* Introduce custom proxy support for wandb http(s) traffic.
## Fixes
* Fix logger when logging filestream exception.
* Use watch api to monitor launched CRDs.
* Forbid enqueuing docker images without target project.
* Add missing Twitter import for API users.
* Get S3 versionIDs from directory references.
* Make watch streams recover from connection reset.
* Use json.loads(..., strict=False) to ignore invalid utf-8 and control characters in api.Run.load.
* Correctly identify colab as a jupyter-like env in settings.
* Improve memory management for summary updates.
* Add environment variable to configure batch size for download urls.
* Fail rqis if no run is created.
## Cleanup
* Update README.md.
View the [v0.15.11 changelog](https://github.com/wandb/wandb/releases/tag/v0.15.11) on GitHub.
## Enhancements
* Add async support to `Autologger` API and enable it for Openai.
* Add official support for python 3.11 and drop support for python 3.6.
* Implement network logging and file pusher timeout for debugging.
* Set ttl(time to live) for artifact versions.
* Add support for define metric.
* Include agent version when creating launch agent.
* Runless git jobs can use requirements.txt in parent directories.
* Retrieve the parent collection from an Artifact.
* Improve file uploads.
* Add run id option to artifact put method to log artifacts to existing runs.
* Add metadata property to Run object.
* Support setting a custom Dockerfile in launch overrides.
* Add Nvidia GPU asset to system monitor.
* Enable deleting artifact collections from SDK.
* Add dockerfile CLI param & use Dockerfile.wandb by default if present.
* Extend cache cleanup to allow specifying a target fraction.
* Add an eval-able repr to ArtifactManifestEntry.
* Enable docker-based wheel building for nexus.
* Add Nvidia GPU asset to system monitor.
* Clear the cache on add to prevent overflow.
* Capture disk i/o utilization in system metrics.
* Add disk io counters to monitor metrics.
* Make paths for disk usage monitoring configurable.
* Use `WANDB_SWEEP_ID` to include a run in an existing sweep.
* Handle LinkArtifact calls made to Nexus Core.
* Fix retry logic for http clients and allow user customization.
* Support user defined headers in the gql client transport.
* Enable set types in wandb.Config.
* Visualize images with bbox overlays for `ultralytics`.
* Add exponential decay sampling utility for line\_plot.
* Always print the traceback inside of the `wandb.init` context manager.
* Add setting to disable automatic machine info capture.
## Fixes
* Extend try in agent loop to cover all job handling.
* Guard against undefined filestream timeout.
* Error if code artifact underlying job has been deleted.
* Use a unique name for the artifact created by `verify`.
* Use resume=allow when auto requeuing.
* Correct entrypoint path from disabled git repo subir.
* Override individual job resource\_args.
* Fix import issue to support python 3.6.
* Fix override entrypoint when using sweeps on launch without a scheduler job.
* Fix resume reference when nil.
* Further speed up import time.
* Fix sample kubernetes agent manifest secret mount.
* Rm unused import.
* Watch to get kubernetes run statuses.
* Prohibit saving artifacts to a different project than their base artifact.
* Require existing artifacts to save to their source entity/project.
* Adjust system monitor start and stop functionality.
* Remove suspect characters when directory creation fails.
* Default log\_code exclusion behavior now correctly handles `wandb` in the root path prefix.
* Disallow project queue creation.
* Catch all sweep set state errors.
* Create\_job now works from jupyter notebook.
* Fix race condition for defer and update control.
* Improved handling and logging of tensor types.
* Launch cli command should exit with non-zero status if underlying launched run exits with non-zero status.
* Fix correctness for offline mode.
* Reports api - fix media\_keys json path.
* Allow uint8 images to be logged as wandb.Image().
* Fall back to /tmp/username/.config/wandb in old settings.
* Use UpsertBucketRetryPolicy in all gql.UpsertBucket calls.
* Update report id validation and encoding.
* Add support for propagating messages from the internal process.
## Cleanup
* Fix to new ruff rule E721 additions.
View the [v0.15.10 changelog](https://github.com/wandb/wandb/releases/tag/v0.15.10) on GitHub.
## Enhancements
* Launch sweep schedulers to team queues from UI.
* Make vertex launcher more customizable.
* Default to noop builder if docker not installed.
## Fixes
* Use built in entrypoint and args commands for sagemaker.
* Copy parent source project info to new draft artifact.
* Avoid error at end of run with bigints.
* Manually created image jobs can rerun correctly.
View the [v0.15.9 changelog](https://github.com/wandb/wandb/releases/tag/v0.15.9) on GitHub.
## Enhancements
* Use mutation createRunFiles to get uploadUrls.
* Add create\_run\_queue to public API.
* Add hidden option to use orjson instead of json.
* Improve error message when building with noop builder.
* Create launch agent includes agent config if present.
* Check if job ingredients exist before making job.
* Gracefully handle Kubernetes 404 error.
## Fixes
* Only creating new project if it doesn't already exist.
* Support namespace in metadata key of resource args.
* Use "" instead of None for project kwarg when no project given.
* Add + to torch cpu regex + tests.
* Implement timeout for file\_stream and add debug logs.
* Fix collection filtering when getting aliases.
* Replace `dir_watcher` settings with SettingsStatic.
* Set correct base for incremental artifacts.
* Drop https from azure registries to ensure compatibility with \${image_uri} macro.
* Handle None description correctly.
* Don't create k8s secret if it already exists.
* Drop S3 bucket versioning check.
* Speed up import time and fix `pkg_resources` DeprecationWarning.
View the [v0.15.8 changelog](https://github.com/wandb/wandb/releases/tag/v0.15.8) on GitHub.
## Fixes
* Images not syncing until the end run (revert #5777).
View the [v0.15.7 changelog](https://github.com/wandb/wandb/releases/tag/v0.15.7) on GitHub.
## Enhancements
* Add job link to wandb footer.
* Re-implement job requeueing, fixed cancel behavior.
* Manually create jobs from cli.
* Allow users to specify job name via the `job_name` setting.
* Add an simplified trace API to log prompt traces.
* Support `.keras` model format with `WandbModelCheckpoint` and TF 2.13.0 compatible.
* Initial support for migrating W\&B runs and reports between instances.
## Fixes
* Make LightGBM callback compatible with 4.0.0.
* Use default settings for project retrieval if available.
View the [v0.15.6 changelog](https://github.com/wandb/wandb/releases/tag/v0.15.6) on GitHub.
## Enhancements
* Improve handling of docker image job names and tags.
* Support kaniko builds on AKS.
* Allow kaniko builds to run in other namespaces.
* Support access key for Azure references.
* Add information to failed run queue items, support warnings for run queue items.
* Allow direct configuration of registry uri for all registries.
* Enhance download URL fetching process with batch and retry logic.
* Add flag to skip missing S3 references in `Artifact.download`.
* Implement job requeueing when pod disconnects.
* Add setting to disable setproctitle.
## Fixes
* Handle uri schemes in LogicalPath.
* Update object storage to include reference and prevent id reuse.
* Update click package version requirements.
* Improve lazy import to be thread-safe.
* Change typo in kaniko image name.
* Correct date parsing in SageMaker configuration.
* Make docker build non interactive to prevent region based questions.
* Update "cuda" base image path to "accelerator" base image path.
* Replace artifact name with placeholder to skip validation.
* Prevent jobs with large outputs from hanging on local-container.
* Ensure resume does not push sensitive info.
* Fix handling of references when downloading.
* Correct launch sweep author to personal username.
* Change artifact methods and attributes to private.
View the [v0.15.5 changelog](https://github.com/wandb/wandb/releases/tag/v0.15.5) on GitHub.
## Enhancements
* Set job source in settings.
* Launch sweeps controlled by wandb run.
* Add autolog for Cohere python SDK.
* Support launching custom k8s objects.
* Conserve memory when hashing files.
* Add new\_draft method to modify and log saved artifacts as new version.
* Don't install frozen reqs if there is a reqs file.
* Don't remove temp files from artifacts cache by default.
* Add source\_entity and update sequenceName handling.
* Add 'remove' to Artifacts API.
* Optuna scheduler for sweeps on launch.
* Support notebook job creation.
* Enable launch macros for all runners.
* Add autologging for supported huggingface pipelines.
* Add usage metrics and table logging to OpenAI autologger.
* Add support for monitoring AMD GPU system metrics.
* Capture absolute GPU memory allocation.
## Fixes
* Ensure wandb can be used in AWS lambda.
* Permit `LogicalPath` to strip trailing slashes.
* Exercise caution when creating \~/.config/wandb/settings file.
* Update custom chart query handling and add alternate constructor for table-based charts.
* Add s3 multipart uploading for artifact files.
* Handle incompatible artifact name strings.
* Docker runner always pull for image sourced jobs.
* Improve error handling for package installation.
* Custom k8s objects respect command/args overrides.
* Remove entity, project from valid properties and adjust name handling.
* Use env var for launch agent base url.
* Write to the cache defensively (catch OSError).
* Handle exception in finish\_thread\_id and fail run queue items.
* Add pull secrets for pre made images when registry is specified.
* Read kaniko pod sa name from env var.
* Misc gcp fixes.
* Support local environment and registry declaration.
* Support ssh git urls and submodules in agent.
* Update git repo handling for failure cases and rename to gitlib.
* Unify offline and online mode during init and fix multiprocess attach.
* Prevent errors by checking for `wandb.run` in Gym integration.
* Fix wandb tfevent sync issue.
View the [v0.15.4 changelog](https://github.com/wandb/wandb/releases/tag/v0.15.4) on GitHub.
## Fixes
* Allow SDK to work if SA token can't be read.
* Clean up the k8s token discovery logic in util.py::image\_id\_from\_k8s.
* Update `WandbTracer` to work with new langchain version.
* Update summary for changed keys only.
View the [v0.15.3 changelog](https://github.com/wandb/wandb/releases/tag/v0.15.3) on GitHub.
## Fixes
* Update WandbTracer for new langchain release by @parambharat @tssweeney in [https://github.com/wandb/wandb/pull/5467](https://github.com/wandb/wandb/pull/5467).
* Fix error message in langchain wandb\_tracer version check.
View the [v0.15.2 changelog](https://github.com/wandb/wandb/releases/tag/v0.15.2) on GitHub.
## Enhancements
* Implement new Kubernetes runner config schema.
* Allow platform override for docker builder.
* Get full name of artifact for easier artifact retrieval.
* Make default root for artifacts download configurable.
* Add Azure storage handler in SDK.
* Add method to convert wandb.Table to pandas.DataFrame.
* Sweeps on launch command args passed as params.
## Fixes
* Don't assume keys in args and config refer to the same thing.
* Make ElasticContainerRegistry environment handle "ImageNotFoundException" gracefully.
* Disable kaniko builder retry.
* Refine error message for auth error.
* Kubernetes runner does not respect override args.
* Allow attr-dicts as sweeps configs.
* Checksum the read-only staging copy instead of the original file.
* Skip getting run info if run completes successfully or is from a different entity.
* Default to project "uncategorized" instead of "None" when fetching artifacts.
* Add enabled check to gym VideoRecorder.
* Fix handling of default project and entity.
* Update import\_hook.py with latest changes in the wrapt repository.
* Fix support for local urls in k8s launch agent.
* Improve notebook environment detection and testing.
* Implement recursive isinstance check utility for the Settings object.
* Correctly parse edge cases in OpenMetrics filter definitions in System Monitor.
* Update debug logs to include SDK's version.
* Filter AWS Trainium metrics by local rank if executed with torchrun.
* Inform users about WandbTracer incompatibility with LangChain > 0.0.153.
View the [v0.15.1 changelog](https://github.com/wandb/wandb/releases/tag/v0.15.1) on GitHub.
## Enhancements
* Add support for LangChain media type.
* Add autolog for OpenAI's python library by @dmitryduev @parambharat @kptkin @raubitsj in [https://github.com/wandb/wandb/pull/5362](https://github.com/wandb/wandb/pull/5362).
## Fixes
* Add function signature wrapper to the patched openai methods.
* Adjust OpenAI autolog public API to improve user experience by @dmitryduev @kptkin @raubitsj in [https://github.com/wandb/wandb/pull/5381](https://github.com/wandb/wandb/pull/5381).
View the [v0.15.0 changelog](https://github.com/wandb/wandb/releases/tag/v0.15.0) on GitHub.
## Fixes
* Fix `wandb sync` regression.
View the [v0.14.2 changelog](https://github.com/wandb/wandb/releases/tag/v0.14.2) on GitHub.
## Enhancements
* Improve run.log\_artifact() with default type and path references.
* Add opt-in support for async artifact upload.
* Update summary for changed keys only.
* Use a persistent session object for GraphQL requests.
* Allow setting of extra headers for the gql client.
* Allow filtering metrics based on OpenMetrics endpoints.
## Fixes
* More informative message when failing to create staging artifact directory.
* Set default value for Kubernetes backoffLimit to 0.
* Remove default sorting when dumping config into a yaml file.
* Fix encoding for html types on windows.
* Clean up auto resume state when initializing a new run.
* Harden `wandb.init()` error handling for backend errors.
* Fix system monitor shutdown logic.
* Allow users to specify pinned versions in requirements.txt.
* Make `wandb.log()` handle empty string values properly.
* Raise exception when accessing methods and attributes of a finished run.
## Cleanup
* Use 'secrets' module instead of custom random token generator.
* Move \_manifest\_json\_from\_proto to sender.py.
View the [v0.14.1 changelog](https://github.com/wandb/wandb/releases/tag/v0.14.1) on GitHub.
## Enhancements
* Support cuda base image for launch runs.
* Warn users of which packages failed to install during build process.
* Add support for importing runs from MLFlow.
* Mark queued runs that fail to launch as `FAILED`.
## Fixes
* Temporarily remove local api key validation.
* Launch agent gracefully removes thread when it has an exception.
* Give clear error message when cannot connect to Docker daemon.
* Launch support for EKS instance roles.
* Cleaner error messages when launch encounters docker errors and graceful fail.
* Hash docker images based on job version and dockerfile contents.
* Security(launch): warn when agent is started polling on a team queue.
* Add telemetry when syncing tfevents files.
* Fix regression preventing run stopping from working.
* Instruct user how to handle missing kubernetes import when using kubernetes runner or kaniko builder.
* Hide unsupported launch CLI options.
* Make launch image builder install Pytorch properly with dependencies on different hardware.
View the [v0.14.0 changelog](https://github.com/wandb/wandb/releases/tag/v0.14.0) on GitHub.
## Enhancements
* Improve launch agent logging.
* Sweep run\_cap now works for launch sweeps.
* Launch sweep jobs from image\_uri.
* Add `num_workers` param to scheduler section in `launch_config`.
* Raise ArtifactNotLoggedError instead of ValueError.
* Launch agent uses thread pool to run jobs.
* Make runners and builders use Environment & Registry classes.
* Add OpenMetrics support for System Metrics.
* Add ability to filter system metrics consumed from OpenMetrics endpoints.
* Add support for gymnasium env monitoring, in addition to gym.
* Add `max_scheduler` key to launch agent config.
* Add an integration with `ultralytics` library for YOLOv8.
## Fixes
* Clean up IPython's widget deprecation warning.
* Add special Exceptions for the manager logic, when trying to connect to a gone service.
* Fix issue where global config directory had to be writable to use Api.
* Make error message during run initialization more actionable and fix uncaught exception.
* Add deepcopy dunder method to the Run class.
* Remove default to project always in sweep.
* Error out when trying to create a launch sweep without a job specified.
* Mkdir\_exists\_ok now (again) checks permission on existence.
* Only log the received job when launching something sourced from a job.
* Fix issue where queued runs sourced from images would vanish in URI.
* Add write permissions to copied artifacts.
* Improve `queue` argument parsing in `sweep` cli command.
* When in disable mode don't spin up service.
* Fix support for docker images with user specified entrypoint in local container.
* API - ArtifactFiles no longer errors when accessing an item.
* Verify job exists before starting the sweeps scheduler.
* Handle system metrics requiring extra setup and teardown steps.
* Fix a typo in `CONTRIBUTING.md`.
* Correctly detect notebook name and fix code saving in Colab.
* Allow up to max\_artifacts (fix off by 1 error).
* Exercise extra caution when starting asset monitoring threads.
* Fix bug where boto3 dependency crashes on import when downl….
* Verify `num_workers` cli arg is valid and default to 8 if not.
* Fix the file reference added to the verification artifact.
* Special handling for sweeps scheduler in agent.
* Only re-download or overwrite files when there are changes.
* Avoid introspection in offline mode.
* Topological ordering of `wandb.Settings`.
* Avoid lazy loading for tensorboard patching.
## Cleanup
* Fix bugbear B028 add stacklevel.
* Move launch errors closer to the code.
* Move mailbox error closer to the code.
* Add unsupported error type.
* Add support for the ruff linter.
* Cosmetic changes for readability.
* Introduce environment and registry abstract classes.
* Fix unused union type in launch agent.
* Remove the artifact from the manifest.
* Enable typechecking for interface.artifacts and add type hints / casts.
* Type-annotate `wandb_setup.py`.
* Remove unused #noqa directives.
* Disable sentry tracking when testing.
View the [v0.13.11 changelog](https://github.com/wandb/wandb/releases/tag/v0.13.11) on GitHub.
## Enhancements
* Reuse session for file upload requests.
* Expose aliases list endpoint for artifact collections.
* Include the username of the run's author in the environment variables.
* Add support for local-container resource args.
* Add the ability to append to a run with `wandb sync --append`.
* Add an escape hatch (`disable_job_creation`) to disable automatic job creation.
## Fixes
* Remove underscores from generated job name in kubernetes runner.
* Sweep command args can once again be int type.
* Ensure prepared artifacts have the `latest` alias.
* Catch FileNotFoundError and PermissionError during cache.cleanup().
* Fix order of python executable resolves.
* Fix console handling when forking and setting stdout==stderr.
* Fix issue where job artifacts are being logged without latest alias.
* Ensure job names do not exceed maximum allowable for artifacts.
## Dev
* Ensure manifest version is verified.
* Add tests for custom SSL certs and disabling SSL.
* Fix nightly docker builds.
* Dont create universal py2/py3 package.
* Fix flake8-bugbear B028 and ignore B017.
* Fix gcloud sdk version requested in nightly tests.
* Remove unused parameters in `StorageHandler.load_{path,file,reference}`.
* Split unit tests to system tests and proper unit tests.
* Address fixture server move from port 9010 to 9015 in local-testcontainer.
* Add aliases to ac query response.
* Run regression suite nightly.
* Fix broken lightning test.
* Enable type checking for wandb\_init.py.
* Deprecate defaulting to default queue in launch-agent command.
* Add unit test for kubernetes runner with annotations.
* Fix train\_gpu\_ddp test.
* Fix docker testimage to pull amd64 version.
* Fix codeowners after test restructure.
* Fix md5 test failures on Windows.
* Split out relay server so it can be shared with yea-wandb.
* Fix a flake8 complaint in a test.
* Fix several import tests.
* Don't use symlinks for SSL test assets, because Windows.
* Add unit tests for filesync.Stats.
* Add async retry logic.
* Strengthen tests for ArtifactSaver, StepUpload.
* Agent logs full stack trace when catching exception.
* Swallow warning printed by neuron-ls.
* Pin pip and tox in development environments.
## Cleanup
* Strengthen StepUpload tests; make exception-handling more thorough in upload/commit.
* Refactor Artifact query to fetch entity and project.
* Replace more communicate calls with deliver.
* Internally use Future to communicate success/failure of commit, not threading.Event.
* Use stdlib ThreadPoolExecutor in StepUpload instead of managing our own.
View the [v0.13.10 changelog](https://github.com/wandb/wandb/releases/tag/v0.13.10) on GitHub.
## Fixes
* Exercise extra caution when checking if AWS Trainium is available in the system.
* Restore 'util.generate\_id' for legacy / user code.
* Replace `release` with `abandon` when releasing mailbox handle during init.
View the [v0.13.9 changelog](https://github.com/wandb/wandb/releases/tag/v0.13.9) on GitHub.
## Enhancements
* Keep uncommitted uploads in separate staging area.
* Improve file descriptor management.
* Default to using model-registry project for agent and launch\_add.
* Add `exist_ok=False` to `file.download()`.
* Auto create job artifacts from runs with required ingredients.
* Add generalized response injection pattern for tests.
* Replace multiprocessing.Queue's with queue.Queue's.
* Use transaction log to cap memory usage.
* Support system metrics for AWS Trainium.
## Fixes
* Correct the type hint for wandb.run.
* Resume collecting system metrics on object restart.
* Fix env handling and node\_selector handling.
* Fix Job.call() using the wrong keyword (queue vs queue\_name) when calling launch\_add.
* Sweeps schedulers handles multi word parameters.
* Allow spaces in requirements file, remove duplicate wandb bootstrap file.
* Correctly handle url-encoded local file references.
* Get digest directly instead of from the manifests' manifest.
* Artifact.version should be the version index from the associated collection.
* Remove duplicate generate\_id functions, replace shortuuid with secrets.
* Fix type check for jax.Array introduced in jax==0.4.1.
* Fix hang after failed wandb.init (add cancel).
* Allow users to provide path to custom executables.
* Fix TypeError when trying to slice a Paginator object.
* Add `AttributeError` to the list of handled exceptions when saving a keras model.
* Remove args from jobs.
## Dev
* Update t2\_fix\_error\_cond\_feature\_importances to install scikit-learn.
* Update base Docker images for nightly testing.
* Change sklearn to scikit-learn in functional sacred test.
* Add error check for `--build` when resource=local-process.
* Update scheduler and agent resource handling to allow DRC override.
* Require sdk-team review for adding or removing high-level….
* Remove requirement to make target project match queue.
* Enhance nightly cloud testing process.
* Update pull request template.
* Return updated runSpec after pushToRunQueue query.
* Fix for run spec handling in sdk.
* Remove test dependency on old fastparquet package.
* Fix dtype np.float (does not exist), set to python float.
* Correct 'exclude' to 'ignore-paths' in .pylintrc.
* Use pytest tmp\_path so we can inspect failures.
* Reset build command after building.
* Rerun flaking tests in CI with pytest-rerunfailures.
* Remove dead code from filesync logic.
* Remove unused fields from a filesync message.
* Refactor retry logic to use globals instead of dependency-injecting them.
* Add unit tests for filesync.StepUpload.
* Add tests for Api.upload\_file\_retry.
* Remove fallback resource when not specified for a queue.
* Improve storage handler test coverage.
* Fix import tests.
* Make MetricsMonitor less verbose on errors.
* Address fixture server move from port 9003 to 9010 in local-testcontainer.
* Vendor promise==2.3.0 to unequivocally rm six dependency.
* Allow setting artifact cache dir in wandb.init(...).
* Temporary lower network buffer for testing.
* Add telemetry if the user running in pex environment.
* Add more flow control telemetry.
* Add settings and debug for service startup issues (wait\_for\_ports).
* Fix AWS Trainium test.
* Fix status checker thread issue when user process exits without finish().
* Add telemetry for service disabled usage.
## Cleanup
* Use the same syntax whenever raising exceptions.
* Combine \_safe\_mkdirs with mkdir\_exist\_ok.
* Use a pytest fixture for the artifact cache.
* Use ArtifactEntry directly instead of subclassing.
* Consolidate hash utilities into lib.hashutil.
* Format public file with proper formatting.
* Install tox into proper env in dev env setup tool.
* Clean up the init and run logic.
View the [v0.13.8 changelog](https://github.com/wandb/wandb/releases/tag/v0.13.8) on GitHub.
## Fixes
* Revert `Circular reference detected` change to resolve `Object of type Tensor is not JSON serializable`.
View the [v0.13.7 changelog](https://github.com/wandb/wandb/releases/tag/v0.13.7) on GitHub.
## Enhancements
* Add `Sweep.expected_run_count` to public Api.
* Support volume mounts and security contexts in kubernetes runner.
* Add a new `--build` flag for building and then pushing the image to a queue.
* Add ability to log learning rate using WandbMetricsLogger.
* Improve Report API in preparation for GA.
## Fixes
* Add filter for `artifact_version` to only retrieve committed artifacts.
* Deflake `wandb verify`.
* Fix the type of the override args passed through to a LaunchProject from a Job.
* Remove extra colon from log prefix.
* Add support for service running in a pex based environment.
* Fix probing static IPU info.
* Change `artifactSequence` to `artifactCollection` in public GQL requests.
* Fix TF compatibility issues with `WandbModelCheckpoint`.
* Make Keras WandbCallback compatible with TF version >= 2.11.0.
* Update gym integration to match last version.
* Harden internal thread management in SystemMetrics.
## Dev
* Improved git fetch time by specifying a `refspec` and `depth=1`.
* Fix linguist rule to ignore grpc generated files.
* New shard for launch tests.
* Upgrade Node 12 based GitHub Actions.
* Skip flaky `artifact_metadata_save` test.
* Replace sleeps with flush when waiting on a file to write.
* Use `tmp_path` fixture instead of writing local files during tests.
* Fix broken queue test.
* `skip` instead of `xfail` for test `test_artifact_metadata_save`.
* Add many tests for InternalApi.upload\_file.
* Add artifact Sequence fallback for older servers.
* Make protobuf version requirements more granular.
## Cleanup
* When committing artifacts, don't retry 409 Conflict errors.
* Add programmatic alias addition/removal from SDK on artifacts.
* Remove `wandb.sklearn.plot_decision_boundaries` that contains dead logic.
* Adds an option to force pull the latest version of a test dev-container image.
* Noop builder.
* Remove unused attribute.
* Update `mypy` to 0.991.
* Add more robust uri parsing.
* Turn on linting for internal\_api.py.
* Remove dependency on six by modifying vendored libs.
View the [v0.13.6 changelog](https://github.com/wandb/wandb/releases/tag/v0.13.6) on GitHub.
## Enhancements
* Add an option to upload image references.
## Fixes
* Generate more readable image names.
* Use hash(`etag`+`url`) instead of just `etag`, as key, in artifacts cache.
* Wait for artifact to commit before telling the user it's ready when using `wandb artifact put`.
* Prefix vendor watchdog library.
* Fix `Circular reference detected` error, when updating metadata with numpy array longer than 32 elements.
* Add a random string to run\_id on SageMaker not to break DDP mode.
## Dev
* Make sure we dont shutdown test cluster before grabbing results.
* Add standalone artifact test to nightly cpu suite.
* Rename default branch to `main`.
* Update mypy extension for protobuf type checking.
* Update codeql-analysis.yml branch name.
* Move functional import tests to nightly and expand python version coverage.
* Add Slack notification for failed nightly import tests.
* Fix broken CLI tests that attempt uploading non-existent artifacts.
## Cleanup
* Job creation through use\_artifact instead of log\_artifact.
* Add a GH action to automate parts of the release process.
* 3D Point Clouds now viewable in UI in all situations.
* Git URLs were failing if fsmonitor is enabled.
* Ignore new proto generated file directories.
* Fix a bug preventing Run Queue deletion in the SDK.
* Add support for `pushToRunQueueByName` mutation.
* Refactor system metrics monitoring and probing.
* Fix gitattribute for protobuf generated files.
View the [v0.13.5 changelog](https://github.com/wandb/wandb/releases/tag/v0.13.5) on GitHub.
## Enhancements
* Show entity and project in k8s job names.
* Add environment variable sweep command macro.
* Add `from_*` constructors and scene camera and bounding box confidence scores to `Object3D` data type.
* Add simple progress indicator for artifact downloads.
* Add `WandbMetricsLogger` callback - a `Keras` dedicated metrics logger callback.
* Add `WandbModelCheckpoint` callback - a `Keras` model checkpointing callback.
* Add `WandbEvalCallback` callback - a `Keras` callback for logging model predictions as W\&B tables.
## Fixes
* Cast agent's config max\_jobs attribute to integer.
* Correct the displayed path to the `debug-cli.log` (debug log).
* Catch retry-able request timeout when uploading artifacts to AWS.
* Improve user feedback for long running calls: summary, finish.
* Fix RuntimeError when using `keras.WandbCallback` with `tf.MirroredStrategy`.
## Dev
* Add code analysis/scanning with `codeql`.
* Validate PR titles to ensure compliance with Conventional Commits guidelines.
* Harden launch by pining the build versions of `kaniko` and `launch-agent-dev`.
* Add telemetry for the `mmengine` package.
* Add the `build` type to our conventional commits setup.
* Add `tensorflow_datasets` requirement to `imports12` shard.
* Fix sb3 test by pinning upstream requirement.
* Make the SDK compatible with protobuf v4.
* Fix flake8 output coloring.
* Fix artifact reference test asset directory.
## Cleanup
* Fix type hint for `filters` argument in `public_api.runs`.
* Improve type annotations around artifact-file-creation.
* Improve type annotations and VSCode config for public API.
* Make type annotations more easily navigable in VSCode.
* Introduce str NewTypes and use them for various Artifact fields.
* Add type annotations to get better IDE hints for boto3 usage.
View the [v0.13.4 changelog](https://github.com/wandb/wandb/releases/tag/v0.13.4) on GitHub.
## Enhancement
* Adds `raytune` examples / tests.
* Refactors `pytest` unit tests to run against real `wandb server`.
* Adds Launch `kubernetes` support of taints and tolerations.
* Adds Sweeps on Launch on Kubernetes.
* Adds parallelism to functional testing.
* Upgrades `mypy` to version `0.971`.
* Adds Mailbox async internal process communication.
* Implements searching launch job in sweep config.
* Improves performance when sending large messages.
* Vendors the latest `nvidia-ml-py-11.515.48`.
* Improves performance by increase recv size on service socket.
* Adds isort support with black profile.
* Implements pushing test-results to CircleCI for nightly tests.
* Adds debug mode for `pytest` unit tests.
* Adds support for arguments in Launch Jobs.
* Adds FetchRunQueueItemById query.
* Adds telemetry for keras-cv.
* Adds sentry session tracking.
* Adds the ability to log artifact while linking to registered model.
### Cleanup
* Breaks gradient and parameters hooks.
* Adds explicit error message for double uri/docker-image.
* Tests that the wandb\_init fixture args are in sync with wandb.init().
* Upgrades the GKE cluster used for nightly tests to `n1-standard-8`.
* Moves service teardown to the end of tests.
* Reduce the `pytest` job parallelism from 10 to 6.
* Removes service user doc.
* Move `_timestamp` logic to the internal process.
* Adds Launch `gitversion` error message.
* Updates KFP machine VM image in CircleCI.
* Upgrades sweeps to latest version.
* Implements Sweep scheduler cleanup and better tests.
* Adds a requirement for the sdk-team to approve API changes.
* Adds additional time for artifact commit.
* Implements tox configuration with dynamic resolution.
* Removes `buildx` version pin for nightly builds.
* Moves Launch run configs from entrypoint into params.
* Removes Slack orb usage from Win job on CircleCI.
* Adds heartbeat parsing for Launch run args using legacy agent.
* Add better error handling when tearing down service.
* Cleans up Launch job creation pipeline.
* Adds detail to error message when uploading an artifact with the wrong type.
* Adds optional timeout parameter to artifacts wait().
* Sanitizes numpy generics in keys.
* Removes reassignment of run function in public api.
* Makes pulling sweeps optional when using public api to query for runs.
* Updates ref docs for `wandb.init` to give more info on special characters.
## Bug Fix
* Fixes Sweeps on Launch Jobs requirement.
* Fixes Artifact metadata JSON-encoding to accept more types.
* Adjusts `root_dir` setting processing logic.
* Prevents run.log() from mutating passed in arguments.
* Fixes `05-batch5.py` test.
* Allows users to control the `run_id` through the launch spec.
* Fixes accidental overwrite in `config.yml`.
* Ensures propagating overridden `base_url` when initializing public API.
* Fixes Sweeps on Launch CLI launch config, relpath.
* Fixes broken Launch apikey error message.
* Marks flakey sweeps test xfail.
* Fixes Launch `gitversion` error message.
* Fixes `yea-wandb` dev release -> release.
* Cleans up outstanding issues after the client->wandb rename.
* Fixes test precision recall.
* Fixes functional sklearn test.
* Fixes hang caused by keyboard interrupt on windows.
* Fixes default test container tag.
* Fixes summary handling in conftest.py.
* Fixes some small typos in cli output.
* Fixes issue triggered by colab update by using default file and catching exceptions.
* Fixes mailbox locking issue.
* Fixes variable inclusion in log string.
* Corrects `wandb.Artifacts.artifact.version` attribute.
* Fixes piping of docker args by Launch Agent.
* Fixes RecursionError when printing public API User object without email fetched.
* Fixes deserialization of numeric column names.
View the [v0.13.3 changelog](https://github.com/wandb/wandb/releases/tag/v0.13.3) on GitHub.
## Bug Fix
* Fix issue triggered by colab update by using default file and catching exceptions.
View the [v0.13.2 changelog](https://github.com/wandb/wandb/releases/tag/v0.13.2) on GitHub.
## Bug Fix
* Prevents run.log() from mutating passed in arguments.
View the [v0.13.1 changelog](https://github.com/wandb/wandb/releases/tag/v0.13.1) on GitHub.
## Enhancement
* Turns service on by default.
* Adds support logic for handling server provided messages.
* Allows runs to produce jobs on finish.
* Adds Job, QueuedRun and job handling in launch.
* Supports in launch agent of instance roles in ec2 and eks.
* Adds default behavior to the Keras Callback: always save model checkpoints as artifacts.
* Sanitizes the artifact name in the KerasCallback for model artifact saving.
* Improves console logging by moving emulator to the service process.
* Fixes data corruption issue when logging large sizes of data.
* Adds the state to the Sweep repr in the Public API.
* Adds an option to specify different root dir for git using settings or environment variables.
* Adds an option to pass `remote url` and `commit hash` as arguments to settings or as environment variables.
* Improves time resolution for tracked metrics and for system metrics.
* Defaults to project name from the sweep config when project is not specified in the `wandb.sweep()` call.
* Adds support to use namespace set user by the the launch agent.
* Adds telemetry to track when a run might be overwritten.
* Adds a tool to export `wandb`'s history into `sqlite`.
* Replaces some `Mapping[str, ...]` types with `NamedTuples`.
* Adds import hook for run telemetry.
* Implements profiling support for IPUs.
## Bug Fix
* Fixes sweep agent with service.
* Fixes an empty type equals invalid type and how artifact dictionaries are handled.
* Fixes `wandb.Config` object to support default values when getting an attribute.
* Removes default config from jobs.
* Fixes an issue where patch is `None`.
* Fixes requirements.txt parsing in nightly SDK installation checks.
* Fixes 409 Conflict handling when GraphQL requests timeout.
* Fixes service teardown handling if user process has been terminated.
* Adds `storage_path` and fixed `artifact.files`.
* Fixes performance issue syncing runs with a large number of media files.
### Cleanup
* Adds an escape hatch logic to disable service.
* Annotates `wandb/docker` and reverts change in the docker fixture.
* Fixes GFLOPS to GFLOPs in the Keras `WandbCallback`.
* Adds type-annotate for `file_stream.py`.
* Renames repository from `client` to `wandb`.
* Updates documentation: adding `--report_to wandb` for HuggingFace Trainer.
* Makes aliases optional in link\_artifact.
* Renames `wandb local` to `wandb server`.
* Updates README badges.
View the [v0.13.0 changelog](https://github.com/wandb/wandb/releases/tag/v0.13.0) on GitHub.
## Enhancement
* Fixes config not showing up until the run finish.
* Adds new types to the TypeRegistry to handling artifact objects in jobs and run configs.
* Adds new query to the the internal api getting the state of the run.
* Replaces unsafe yaml loaders with yaml.safe\_load.
* Improves testing tooling by allowing to specify shards in manual testing.
* Fixes ROC and PR curves in the sklearn integration by stratifying sampling.
* Fixes input box in notebooks exceeding cell space.
* Allows string to be passed as alias to link\_model.
* Adds Support for FLOPS Calculation in `keras`'s `WandbCallback`.
* Extends python report editing.
## Bug Fix
* Fixes stats logger so it can find all the correct GPUs in child processes.
* Fixes regression in s3 reference upload for folders.
* Fixes artifact commit logic to handle collision in the backend.
* Checks for `None` response in the retry logic (safety check).
* Adds sweeps on top of launch (currently in MVP).
* Renames functional tests dir and files.
### Cleanup
* Fixes conditions order of `_to_dict` helper.
* Fixes changelog broken link to PR 3709.
* Fixes public api query (QueuedJob Api ).
* Renames local runners to local-container and local-process.
* Adds type annotations to files in the wandb/filesync directory.
* Re-organizes all the testing directories to have common root dir.
* Fixes testing configuration and add bigger machine on `CircleCi`.
* Fixes typo in the `wandb-service-user` readme file.
* Fixes broken artifact test for regression.
* Removes unused files (relating to `py27`) and empty `submodules` declaration.
* Adds extra for model reg dependency on cloudpickle.
* Replaces deprecated threading aliases.
* Updates the `sdk` readme to the renamed (local -> server) commands.
View the [v0.12.21 changelog](https://github.com/wandb/wandb/releases/tag/v0.12.21) on GitHub.
## Bug Fix
* Retry `commit_artifact` on conflict-error.
View the [v0.12.20 changelog](https://github.com/wandb/wandb/releases/tag/v0.12.20) on GitHub.
## Bug Fix
* Fix regression in s3 reference upload for folders.
View the [v0.12.19 changelog](https://github.com/wandb/wandb/releases/tag/v0.12.19) on GitHub.
## Enhancement
* Launch: BareRunner based on LocalRunner.
* Add ability to specify api key to public api.
* Add support in artifacts for files with unicode on windows.
* Added telemetry for new packages.
* Improve API key management.
* Add information about `wandb server` during login.
## Bug Fix
* Natively support timestamps in Python Table Types.
* Add support for magic with service.
* Add unit tests for DirWatcher and supporting classes.
* Improve `DirWatcher.update_policy` O(1) instead of O(num files uploaded).
* Add argument to control what to log in SB3 callback.
* Improve parameter naming in sb3 integration.
* Adjust the requirements for the dev environment setup on an M1 Mac.
* Launch: Fix NVIDIA base image Linux keys.
* Fix launch run queue handling from config file.
* Fix issue where tfevents were not always consumed.
* \[Snyk] Fix for 8 vulnerabilities.
* Fix s3 storage handler to upload folders when key names collide.
* Correctly load timestamps from tables in artifacts.
* Require `protobuf<44`.
* Make Containers created through launch re-runnable as container jobs.
* Fix tensorboard integration skipping steps at finish().
* Rename `wandb local` to `wandb server`.
* Fix busted docker inspect command.
* Add dedicated sentry wandb.
* Image Type should gracefully handle older type params.
### Cleanup
* Inline FileEventHandler.synced into the only method where it's used.
* Use passed size argument to make `PolicyLive.min_wait_for_size` a classmethod.
* Make FileEventHandler an ABC, remove some "default" method impls which were only used once.
* Remove unused field from DirWatcher.
* Make sweeps an extra instead of vendoring.
* Add nightly CI testing.
* Improve keras and data type Reference Docs.
* Update `pytorch` version requirements in dev environments.
* Clean up CircleCI config.
* Add `py310` testing in CI.
* Ditch `dateutil` from the requirements.
* Add deprecated string to `Table.add_row`.
View the [v0.12.18 changelog](https://github.com/wandb/wandb/releases/tag/v0.12.18) on GitHub.
## Bug Fix
* Update requirements to fix incompatibility with protobuf >= 4.
View the [v0.12.17 changelog](https://github.com/wandb/wandb/releases/tag/v0.12.17) on GitHub.
## Enhancement
* Improve W\&B footer by aligning summary/history in notebook env.
* Enable experimental history step logging in artifacts.
* Add `args_no_boolean_flags` macro to sweep configuration.
* Add logging support for `jax.bfloat.bfloat16`.
* Raise exception when Table size exceeds limit.
* Add kaniko k8s builder for wandb launch.
* Add wandb.init() timeout setting.
* Do not assume executable for given entrypoints with wandb launch.
* Jupyter environments no longer collect command arguments.
* Add support for TensorFlow/Keras SavedModel format.
## Bug Fix
* Support version IDs in artifact refs, fix s3/gcs references in Windows.
* Fix support for multiple finish for single run using wandb-service.
* Fix duplicate backtrace when using wandb-service.
* Fix wrong entity displayed in login message.
* Fix hang when `wandb.init` is interrupted mid setup using wandb-service.
* Fix handling keyboard interrupt to avoid hangs with wandb-service enabled.
* Fix console logging with very long print out when using wandb-service.
* Fix broken artifact string in launch init config.
### Cleanup
* Fix typo in wandb.log() docstring.
* Cleanup custom chart code and add type annotations to plot functions.
* Improve `wandb.init(settings=)` to handle `Settings` object similarly to `dict` parameter.
* Add documentation note about api.viewer in api.user() and api.users().
* Be explicit about us being py3+ only in setup.py.
* Add type annotations to DirWatcher.
* Improve wandb.log() docstring to use the correct argument name.
View the [v0.12.16 changelog](https://github.com/wandb/wandb/releases/tag/v0.12.16) on GitHub.
## Enhancement
* Optimize wandb.Image logging when linked to an artifact.
View the [v0.12.15 changelog](https://github.com/wandb/wandb/releases/tag/v0.12.15) on GitHub.
## Bug Fix
* Fix regression: disable saving history step in artifacts.
View the [v0.12.14 changelog](https://github.com/wandb/wandb/releases/tag/v0.12.14) on GitHub.
## Bug Fix
* Revert strictened api\_key validation.
View the [v0.12.13 changelog](https://github.com/wandb/wandb/releases/tag/v0.12.13) on GitHub.
## Enhancement
* Allow run objects to be passed to other processes when using wandb-service.
* Add create user to public api.
* Support logging from multiple processes with wandb-service.
* Add gpus flag for local launch runner with cuda.
* Improve Launch deployable agent.
* Add Launch kubernetes integration.
* KFP: Add wandb visualization helper.
* KFP: Link back to Kubeflow UI.
* Add boolean flag arg macro.
## Bug Fix
* Improve host / WANDB\_BASE\_URL validation.
* Fix/insecure tempfile.
* Fix excess warning span if requested WANDB\_DIR/root\_dir is not writable.
* Fix line\_series to plot array of strings.
* Properly handle command line args with service.
* Improve api\_key validation.
* Fix multiple performance issues caused by not using defaultdict.
* Enable inf max jobs on launch agent.
* Fix colab command to work with launch.
* Fix typo in Config docstring.
* Make code saving not a policy, keep previous custom logic.
* Fix logging sequence images with service.
* Add username to debug-cli log file to prevent conflicts of multiple users.
* Fix python sweep agent for users of wandb service / pytorch-lightning.
* Remove unnecessary launch reqs checks.
* Workaround for MoviePy's Unclosed Writer.
* Improve handling of Run objects when service is not enabled.
View the [v0.12.12 changelog](https://github.com/wandb/wandb/releases/tag/v0.12.12) on GitHub.
## Enhancement
* Add captions to Molecules.
* Add CatBoost Integration.
* Launch: AWS Sagemaker integration.
* Launch: Remove repo2docker and add gpu support.
* Adds Timestamp inference from Python for Weave.
* Launch GCP vertex integration.
* Use Artifacts when put into run config. Accept a string to represent an artifact in the run config.
* Improve xgboost `wandb_callback` (#2929).
* Add initial kubeflow pipeline support.
## Bug Fix
* Fix logging of images with special characters in the key.
* Fix azure blob upload retry logic.
* Fix program field for scripts run as a python module.
* Fix issue where `sync_tensorboard` could die on large histograms.
* Fix wandb service performance issue during run shutdown.
* Fix vendoring of gql and graphql.
* Flush log data without finish with service.
* Fix wandb service hang when the service crashes.
* Fix issue logging images with "/" on Windows.
* Add image filenames to images/separated media.
* Add setproctitle to requirements.txt.
* Fix issue where sagemaker run ids break run queues.
* Fix encoding exception when using %%capture magic.
View the [v0.12.11 changelog](https://github.com/wandb/wandb/releases/tag/v0.12.11) on GitHub.
## Enhancement
* Improve validation when creating Tables with invalid columns from dataframes.
* Enable digest deduplication for `use_artifact()` calls.
* Initial prototype of azure blob upload support.
## Bug Fix
* Fix wandb launch using python dev versions.
* Fix loading table saved with mixed types.
* Fix ResourceWarning when calling wandb.log.
* Fix missing cursor in ProjectArtifactCollections.
* Fix windows table logging classes issue.
* Gracefully handle string labels in wandb.sklearn.plot.classifier.calibration\_curve.
* Do not display login warning when calling wandb.sweep().
### Cleanup
* Drop python2 backport deps (enum34, subprocess32, configparser).
* Settings refactor.
View the [v0.12.10 changelog](https://github.com/wandb/wandb/releases/tag/v0.12.10) on GitHub.
## Bug Fix
* Fix regression in `upload_file()` exception handler.
View the [v0.12.9 changelog](https://github.com/wandb/wandb/releases/tag/v0.12.9) on GitHub.
## Enhancement
* Update contributing guide and dev env setup tool.
* Improve `wandb_callback` for LightGBM (#2945).
## Bug Fix
* Reduce GPU memory usage when generating histogram of model weights.
* Support mixed classes in bounding box and image mask annotation layers.
* Add max-jobs and launch async args.
* Support lists of Summary objects encoded as strings to wandb.tensorboard.log.
* Fix handling of 0 dim np arrays.
* Fix handling of empty default config file.
* Add service backend using sockets (support fork).
* Send git port along with url when sending git repo.
* Add support raw ip addresses for launch.
* Tables no longer serialize and hide 1d NDArrays.
* Fix artifact file uploads to S3 stores.
* Send uploaded file list on file stream heartbeats.
* Add support for keras experimental layers.
* Fix `from wandb import magic` to not require tensorflow.
* Fix launch permission error.
View the [v0.12.8 changelog](https://github.com/wandb/wandb/releases/tag/v0.12.8) on GitHub.
## Bug Fix
* Fix issue where console log streaming was causing excessive network traffic.
* Metaflow: Make optional dependencies actually optional.
* Fix docstrings for wandb.watch and ValidationDataLogger.
* Prevent launch agent from sending runs to a different project or entity.
* Fix logging pr\_curves through tensorboard.
* Prevent TPU monitoring from reporting invalid metrics when not available.
* Make import order dependencies for WandbCallback more robust.
* Fix a bug in feature importance plotting to handle matrices of different shapes.
* Fix base url handling to allow trailing /.
* Prevent wandb.agent() from sending too many heartbeats impacting rate limits.
* Redact sensitive information from debug logs.
## Enhancement
* Add wandb.Molecule support for rdkit supported formats.
* Add module-level docstrings for reference doc modules.
* Store launch metadata in file.
* Add Project.sweeps() public API call to view all sweeps in a project.
* Ensures API key prompt remains captive when user enters nothing.
* Refactors wandb.sklearn into submodules.
* Support code artifacts in wandb launch.
* Improve launch agent (async, stop, heartbeat updates).
* Improve usage and error messages for anonymous mode.
* Add example on how to find runs with wandb.Api().runs(...) matching a regex.
View the [v0.12.7 changelog](https://github.com/wandb/wandb/releases/tag/v0.12.7) on GitHub.
## Bug Fix
* Fix sklearn `plot_calibration_curve()` issue breaking the provided model.
* Fix CondaEnvExportError by redirecting stderr.
* Fix `use_artifact()` when specifying an artifact from a different project.
## Enhancement
* Add metric names to pr curve charts in tensorboard.
View the [v0.12.6 changelog](https://github.com/wandb/wandb/releases/tag/v0.12.6) on GitHub.
## Bug Fix
* Report errors for invalid characters in logged media keys on windows.
* Handle errors when probing for TPUs in unsupported environments.
* Fixed bug where `%%wandb` followed by wandb.init() does not display run links.
* Fixed api.runs() to correctly return all runs for the current entity/project.
## Enhancement
* Add `wandb.require(experiment="service")` to improve multiprocessing support.
* Add support for swappable artifacts in launch context.
* Add `wandb.login(timeout=)` support for jupyter environments.
* Add ability to disable git ref saving with `WANDB_DISABLE_GIT`.
* Support newer versions of pytest-mock and PyYAML.
* Add ability to delete artifacts with aliases: `artifact.delete(delete_aliases=True)`.
* Add `unwatch()` method to the Run object.
View the [v0.12.5 changelog](https://github.com/wandb/wandb/releases/tag/v0.12.5) on GitHub.
## Bug Fix
* Fix regression introduced in 0.12.2 causing network access when `WANDB_MODE=offline`.
View the [v0.12.4 changelog](https://github.com/wandb/wandb/releases/tag/v0.12.4) on GitHub.
## Bug Fix
* Fixes the grid search stopping condition in the local controller.
## Enhancement
* New jupyter magic for displaying runs, sweeps, and projects `%wandb path/to/run -h 1024`.
* We no longer display run iframe by default in jupyter, add `%%wandb` to a cell to display a run.
* Makes api key prompting retry indefinitely on malformed input.
* Invite users to teams via the api `api.team("team_name").invite("username_or_email")`.
* Remove users from a team via the api `api.team("team_name").members[0].delete()`.
* Create service accounts via the api `api.team("team_name").create_service_account("Description")`.
* Manage api keys via the api `api.user("username_or_email").generate_api_key()`.
* Add pytorch profiling trace support with `wandb.profiler.torch_trace_handler()`.
View the [v0.12.3 changelog](https://github.com/wandb/wandb/releases/tag/v0.12.3) on GitHub.
## Bug Fix
* Fix tensorboard\_sync to handle ephemeral Sagemaker tfevents files.
* Fix Reports query from the public api (broken pagination and report path).
* Fix `wandb.login()` when relogin is specified (only force login once).
## Enhancement
* Clean up footer output of summary and history metrics.
* Clean up error message from `wandb sweep --update`.
* Add warning for `wandb local` users to update their docker.
* Add optional argument log\_learning\_curve to wandb.sklearn.plot\_classifier().
* Restore frozen pip package versions when using `wandb launch`.
* Add support for jupyter notebooks in launch.
* Add `wandb.login()` timeout option.
View the [v0.12.2 changelog](https://github.com/wandb/wandb/releases/tag/v0.12.2) on GitHub.
## Bug Fix
* Fix tensorflow/keras 2.6 not logging validation examples.
* Fix metrics logged through tensorboard not supporting time on x-axis.
* Fix `WANDB_IGNORE_GLOBS` environment variable handling.
* Fix handling when sys.stdout is configured to a custom logger.
* Fix sklearn feature importance plots not matching feature names properly.
* Fix an issue where colab urls were not being captured.
* Save program commandline if run executable was outside cwd.
## Enhancement
* Add Prodigy integration to upload annotated datasets to W\&B Tables.
* Add initial Metaflow support.
* Add experimental wandb launch support.
* Add warnings that public API requests are timing out and allow override.
* Improve error handling in local controller sweeps engine.
View the [v0.12.1 changelog](https://github.com/wandb/wandb/releases/tag/v0.12.1) on GitHub.
### No Longer Supported
* Remove Python 3.5 support.
## Bug Fix
* Fix issue that could cause artifact uploads to fail if artifact files are being modified.
* Fix issue where `wandb.restore()` wouldn't work with runs from a sweep.
## Enhancement
* Improve run execution time calculation.
View the [v0.12.0 changelog](https://github.com/wandb/wandb/releases/tag/v0.12.0) on GitHub.
## Bug Fix
* Restore vendored graphql-core library because of network regression.
View the [v0.11.2 changelog](https://github.com/wandb/wandb/releases/tag/v0.11.2) on GitHub.
## Deprecated
* Python 3.5 will not be supported as of `wandb==0.12.0`.
## Bug Fix
* Reduce Memory Footprint of Images In Tables.
* Added a dependency on graphql-core>=2.3.0.
* Removed urllib3 pin to avoid conflicts, if you see urllib3 related errors run `pip install --upgrade urllib3`.
* Improved Public API HTTP error messages.
* Set run.dir to the generated directory name in disabled mode.
## Enhancement
* Adds support for native Jax array logging.
* Tables now support Molecule data type.
* Improve Stable-Baselines3 API by auto log model's name and always upload models at the end of training.
* Implements the sweep local controller using wandb/sweeps.
View the [v0.11.1 changelog](https://github.com/wandb/wandb/releases/tag/v0.11.1) on GitHub.
### No Longer Supported
* Remove Python 2.7 support.
## Bug Fix
* Fix issue where `wandb.watch()` broke model saving in pytorch.
* Fix issue where uniform sweep parameters were parsed as int\_uniform.
* Fix issue where file\_stream thread was killed on 4xx errors.
## Enhancement
* Improve performance of artifact logging by making it non-blocking.
* Add wandb integration for Stable-Baselines3.
* Improve keras callback validation logging inference logic.
* Expose sweep state via the public API.
* Improve performance of sweep run fetches via the API.
View the [v0.11.0 changelog](https://github.com/wandb/wandb/releases/tag/v0.11.0) on GitHub.
## Bug Fix
* Fix issue where wandb restore 404ed if the run did not have a diff.patch file.
* Fix issue where wandb.log raised an Exception after trying to log a pandas dataframe.
* Fix issue where runs could be marked finished before files were finished uploading.
## Enhancement
* Disable reloading of run metadata (such as command) in resumed runs.
* Allow logging of pandas dataframes by automatically converting them to W\&B tables.
* Fix up `log_code()` exclude fn to handle .wandb dir.
* Improve handling of PyTorch model topology.
* Increase config debounce interval to 30s to reduce load on WB/backend.
* Improve reliability of CLI in generating sweeps with names, programs, and settings.
View the [v0.10.33 changelog](https://github.com/wandb/wandb/releases/tag/v0.10.33) on GitHub.
## Bug Fix
* Make `log_artifact()` more resilient to network errors.
* Removed Duplicate Artifact Dependencies.
* Workaround urlib3 issue on windows.
* Fix regression where ipython was hanging.
* Allow logging of numpy high precision floating point values.
* Reduce liklyhood of collisions for file backed media or artifact objects.
* Fix wandb.watch() regression when logging pytorch graphs.
## Enhancement
* Add support for logging joined and partitioned table.
* Handle schema validation warnings for sweep configs.
* Improve wandb sync to handle errors.
* Add ability to label scripts and repositories who use wandb.
View the [v0.10.32 changelog](https://github.com/wandb/wandb/releases/tag/v0.10.32) on GitHub.
## Bug Fix
* Wandb.login() did not properly persist the host parameter.
* Fix issue where step information was not synced properly when syncing tensorboard directories.
* Fix some unicode issues with python2.7.
* Fixed bug in `plot_calibration_curve` for ComplementNB.
* Fall back to not using SendFile on some linux systems.
* Fix console issues where lines were truncated.
* Fix console issues where console logging could block.
## Enhancement
* Add support for preemptible sweeps.
* Add command line for sweep control.
* Add support to load artifact collection properties.
View the [v0.10.31 changelog](https://github.com/wandb/wandb/releases/tag/v0.10.31) on GitHub.
## Bug Fix
* Found and fixed the remaining issues causing runs to be marked crashed during outages.
* Improved performance for users of `define_metric`, pytorch-lightning, and aggressive config saving.
* Fix issue when trying to log a cuda tensor to config or summary.
* Remove dependency on torch `backward_hooks` to compute graph.
* Fix an issue preventing the ability to resume runs on sagemaker.
* Fix issues preventing pdb from working reliably with wandb.
* Fix deprecation warning in vendored library (user submission).
* Fix logging behavior where the library was accidently outputting logs to the console.
* Fix disabled mode to not create wandb dir and log files.
* Renamed types to prep for Tables launch.
## Enhancement
* Allow renaming groups with public api.
View the [v0.10.30 changelog](https://github.com/wandb/wandb/releases/tag/v0.10.30) on GitHub.
## Bug Fix
* Fix more network handling issues causing runs to be marked crashed (wandb sync to recover).
* Improve logging and exception handling to improve reporting and logging of crashed processes.
View the [v0.10.29 changelog](https://github.com/wandb/wandb/releases/tag/v0.10.29) on GitHub.
## Bug Fix
* Fix network handling issue causing runs to be marked crashed (wandb sync to recover).
* Use `register_full_backward_hook` to support models with Dict outputs.
* Allow periods in table columns.
* Fix artifact cache collisions when using forked processes.
* Fix issue where custom charts do not display properly with pytorch-lightning.
## Enhancement
* Add experimental incremental artifact support.
* Improve warnings when logging is being rate limited.
View the [v0.10.28 changelog](https://github.com/wandb/wandb/releases/tag/v0.10.28) on GitHub.
## Bug Fix
* Fix tensorboard\_sync condition where metrics at end of short run are dropped.
* Fix `wandb sync` when tensorboard files are detected.
* Fix api key prompt in databricks notebook.
## Enhancement
* Integrate DSViz into Keras WandbCallback.
* Add support for conda dependencies (user submit).
View the [v0.10.27 changelog](https://github.com/wandb/wandb/releases/tag/v0.10.27) on GitHub.
## Bug Fix
* Fix network handling issue where syncing stopped (use wandb sync to recover).
* Fix auth problem when using sagemaker and hugginface integrations together.
* Fix handling of NaN values in tables with non floats.
* Lazy load API object to prevent unnecessary file access on module load.
## Enhancement
* Improve error messages when using public api history accessors.
View the [v0.10.26 changelog](https://github.com/wandb/wandb/releases/tag/v0.10.26) on GitHub.
## Bug Fix
* Fix possible artifact cache race when using parallel artifact reads.
* Fix artifact reference when `checksum=False`.
## Enhancement
* Release `run.define_metric()` to simplify custom x-axis and more.
* Add column operators `add_column`, `get_column`, `get_index` to `wandb.Table()`.
View the [v0.10.25 changelog](https://github.com/wandb/wandb/releases/tag/v0.10.25) on GitHub.
## Bug Fix
* Significant fixes to stdout/stderr console logging.
* Prevent excessive network when saving files with policy=`live`.
* Fix errors when trying to send large updates (most common with `wandb sync`).
## Enhancement
* Automatically generate `run_table` artifact for logged tables.
* Add bracket notation to artifacts.
* Improve URL validation when specifying server url to `wandb login`.
View the [v0.10.24 changelog](https://github.com/wandb/wandb/releases/tag/v0.10.24) on GitHub.
## Bug Fix
* Fix logged artifacts to be accessible after wait().
* Fix spell.run integration.
* Performance fix syncing console logs with carriage returns.
* Fix confusion matrix with class names and unlabeled data.
## Enhancement
* Add the ability to save artifacts without creating a run.
* Add Foreign Table References to wandb.Table.
* Allow the same runtime object to be logged to multiple artifacts.
* Add experimental `run._define_metric()` support.
* Warn and ignore unsupported multiprocess `wandb.log()` calls.
View the [v0.10.23 changelog](https://github.com/wandb/wandb/releases/tag/v0.10.23) on GitHub.
## Bug Fix
* Fix system metric logging rate in 0.10.x.
* Fix Audio external reference issue.
* Fix short runs with tensorboard\_sync.
* Ignore `wandb.init(id=)` when running a sweep.
* Sanitize artifact metadata if needed.
## Enhancement
* Allow syncing of tfevents with `wandb sync --sync-tensorboard`.
View the [v0.10.22 changelog](https://github.com/wandb/wandb/releases/tag/v0.10.22) on GitHub.
## Bug Fix
* Fix artifact.get() regression since 0.10.18.
* Allow 0 byte artifacts.
* Fix codesaving and program name reporting.
## Enhancement
* Added support for glb files for `wandb.Object3D()`.
* Added support for external references for `wandb.Audio()`.
* Custom chart support tensorboard `pr_curves` plugin.
* Support saving entire code directory in an artifact.
View the [v0.10.21 changelog](https://github.com/wandb/wandb/releases/tag/v0.10.21) on GitHub.
## Bug Fix
* Wandb.login() now respects disabled mode.
* Handle exception when trying to log TPUs in colab.
## Enhancement
* Add `WANDB_START_METHOD=thread` to support non-multiprocessing.
* Add `group` and `job_type` to Run object in the export API.
* Improve artifact docstrings.
View the [v0.10.20 changelog](https://github.com/wandb/wandb/releases/tag/v0.10.20) on GitHub.
## Bug Fix
* Fix artifact manifest files incorrectly named with patch suffix.
View the [v0.10.19 changelog](https://github.com/wandb/wandb/releases/tag/v0.10.19) on GitHub.
## Enhancement
* Add run delete and file delete to the public API.
* Align steps between `tensorboard_sync` and wandb.log() history.
* Add `WANDB_START_METHOD` to allow POSIX systems to use fork.
* Support mixed types in wandb.Table() with `allow_mixed_types`.
## Bug Fix
* Fix potential leaked file due to log not being closed properly.
* Improve `wandb verify` to better handle network issues and report errors.
* Made file downloads more deterministic with respect to filesystem caches.
View the [v0.10.18 changelog](https://github.com/wandb/wandb/releases/tag/v0.10.18) on GitHub.
## Bug Fix
* Fix regression seen with python 3.5.
* Silence vendored watchdog warnings on mac.
View the [v0.10.17 changelog](https://github.com/wandb/wandb/releases/tag/v0.10.17) on GitHub.
## Enhancement
* Artifacts now support parallel writers for large distributed workflows.
* Artifacts support distributed tables for dataset visualization.
* Improvements to PR templates.
* Added more type annotations.
* Vendored watchdog 0.9.0 removing it as a dependency.
* New documentation generator.
* Public api now has `file.direct_url` to avoid redirects for signed urls.
## Bug Fix
* Allow `config-defaults.yaml` to be overwritten when running sweeps.
* General bug fixes and improvements to `wandb verify`.
* Disabled widgets in Spyder IDE.
* Fixed WANDB\_SILENT in Spyder IDE.
* Reference file:// artifacts respect the `name` attribute.
View the [v0.10.16 changelog](https://github.com/wandb/wandb/releases/tag/v0.10.16) on GitHub.
## Enhancement
* Add `wandb verify` to troubleshoot local installs.
## Bug Fix
* Fix tensorboard\_sync issue writing to s3.
* Prevent git secrets from being stored.
* Disable verbose console messages when using moviepy.
* Fix artifacts with checkpoints to be more robust when overwriting files.
* Fix artifacts recycled id issue.
View the [v0.10.15 changelog](https://github.com/wandb/wandb/releases/tag/v0.10.15) on GitHub.
## Enhancement
* Add wandb.Audio support to Artifacts.
## Bug Fix
* Fix wandb config regressions introduced in 0.10.13.
* Rollback changes supporting media with slashes in keys.
View the [v0.10.14 changelog](https://github.com/wandb/wandb/releases/tag/v0.10.14) on GitHub.
## Enhancement
* Add support for Mac M1 GPU monitoring.
* Add support for TPU monitoring.
* Add setting to disable sagemaker integration.
## Bug Fix
* Fix tensorboard\_sync with tensorboardX and tf1.
* Fix issues logging images with slashes.
* Fix custom charts issues.
* Improve error messages using `wandb pull`.
* Improve error messages with `wandb.Table()`.
* Make sure silent mode is silent.
* Fix `wandb online` to renable logging.
* Multiple artifact fixes.
View the [v0.10.13 changelog](https://github.com/wandb/wandb/releases/tag/v0.10.13) on GitHub.
## Enhancement
* Add Artifact.used\_by and Artifact.logged\_by.
* Validate type consistency when logging Artifacts.
* Enhance JoinedTable to not require downloaded assets.
* Add ability to recursively download dependent artifacts.
* Enable gradient logging with keras and tf2+.
* Validate pytorch models are passed to wandb.watch().
* Improved docstrings for public methods / objects.
* Warn when image sequences are logged with different sizes.
## Bug Fix
* Fix incorrectly generated filenames in summary.
* Fix anonymous mode to include the api key in URLs.
* Fix pickle issue with disabled mode.
* Fix artifact from\_id query.
* Fix handling of Tables with different image paths.
View the [v0.10.12 changelog](https://github.com/wandb/wandb/releases/tag/v0.10.12) on GitHub.
## Enhancement
* Disable wandb logging with `wandb disabled` or `wandb.init(mode="disabled")`.
* Support cloning an artifact when logging wandb.Image().
## Bug Fix
* Multiple media artifact improvements and internal refactor.
* Improve handling of artifact errors.
* Fix issue where notebook name was ignored.
* Extend silent mode for jupyter logging.
* Fix issue where vendored libraries interfered with python path.
* Fix various exceptions (divide by zero, int conversion, TypeError).
View the [v0.10.11 changelog](https://github.com/wandb/wandb/releases/tag/v0.10.11) on GitHub.
## Enhancement
* Added confusion matrix plot.
* Better jupyter messages with wandb.init()/reinit/finish.
## Bug Fix
* Fix for fastai 2.1.5 (removed log\_args).
* Fixed media logging when directories are changed.
View the [v0.10.10 changelog](https://github.com/wandb/wandb/releases/tag/v0.10.10) on GitHub.
## Enhancement
* Added artifact media logging (alpha).
* Add scriptable alerts.
* Add url attribute for sweep public api.
* Update docstrings for wandb sdk functions.
## Bug Fix
* Fix cases where offline mode was making network connections.
* Fix issues with python sweeps and run stopping.
* Fix logging issue where we could accidently display an api key.
* Fix wandb login issues with malformed hosts.
* Allow wandb.restore() to be called without wandb.init().
* Fix resuming (reusing run\_id) with empty summary.
* Fix artitifact download issue.
* Add missing wandb.unwatch() function.
* Avoid creating spurious wandb directories.
* Fix collections import issue when using an old version of six.
View the [v0.10.9 changelog](https://github.com/wandb/wandb/releases/tag/v0.10.9) on GitHub.
## Enhancement
* Allow callables to be serialized.
## Bug Fix
* Fix compatibility issue with python 3.9.
* Fix `wandb sync` failure introduced in 0.10.6.
* Improve python agent handling of failing runs.
* Fix rare condition where resuming runs does not work.
* Improve symlink handling when called in thread context.
* Fix issues when changing directories before calling wandb.init().
View the [v0.10.8 changelog](https://github.com/wandb/wandb/releases/tag/v0.10.8) on GitHub.
## Bug Fix
* Fix issue when checking for updated releases on pypi.
View the [v0.10.7 changelog](https://github.com/wandb/wandb/releases/tag/v0.10.7) on GitHub.
## Bug Fix
* Make sure code saving is enabled in jupyter environments after login.
* Sweep agents have extended timeout for large sweep configs.
* Support WANDB\_SILENT environment variable.
* Warn about missing python package when logging images.
* Fix wandb.restore() to apply diff patch.
* Improve artifact error messages.
* Fix loading of config-defaults.yaml and specified list of yaml config files.
View the [v0.10.6 changelog](https://github.com/wandb/wandb/releases/tag/v0.10.6) on GitHub.
## Enhancement
* Add new custom plots: `wandb.plot.*`.
* Add new python based sweep agent: `wandb.agent()`.
## Bug Fix
* Console log fixes (tqdm on windows, fix close exceptions).
* Add more attributes to the Run object (group, job\_type, urls).
* Fix sagemaker login issues.
* Fix issue where plots were not uploaded until the end of run.
View the [v0.10.5 changelog](https://github.com/wandb/wandb/releases/tag/v0.10.5) on GitHub.
## Bug Fix
* Fix an issue where wandb.init(allow\_val\_change=) throws exception.
View the [v0.10.4 changelog](https://github.com/wandb/wandb/releases/tag/v0.10.4) on GitHub.
## Enhancement
* Added warning when trying to sync pre 0.10.0 run dirs.
* Improved jupyter support for wandb run syncing information.
## Bug Fix
* Fix artifact download issues.
* Fix multiple issues with tensorboard\_sync.
* Fix multiple issues with juypter/python sweeps.
* Fix issue where login was timing out.
* Fix issue where config was overwritten when resuming runs.
* Ported sacred observer to 0.10.x release.
* Fix predicted bounding boxes overwritten by ground truth boxes.
* Add missing save\_code parameter to wandb.init().
View the [v0.10.3 changelog](https://github.com/wandb/wandb/releases/tag/v0.10.3) on GitHub.
## Enhancement
* Added upload\_file to API.
* Wandb.finish() can be called without matching wandb.init().
## Bug Fix
* Fix issue where files were being logged to wrong parallel runs.
* Fix missing properties/methods -- as\_dict(), sweep\_id.
* Fix wandb.summary.update() not updating all keys.
* Code saving was not properly enabled based on UI settings.
* Tensorboard now logging images before end of program.
* Fix resume issues dealing with config and summary metrics.
View the [v0.10.2 changelog](https://github.com/wandb/wandb/releases/tag/v0.10.2) on GitHub.
## Enhancement
* Added sync\_tensorboard ability to handle S3 and GCS files.
* Added ability to specify host with login.
* Improved artifact API to allow modifying attributes.
## Bug Fix
* Fix codesaving to respect the server settings.
* Fix issue running wandb.init() on restricted networks.
* Fix issue where we were ignoring settings changes.
* Fix artifact download issues.
View the [v0.10.1 changelog](https://github.com/wandb/wandb/releases/tag/v0.10.1) on GitHub.
## Enhancement
* Added history sparklines at end of run.
* Artifact improvements and API for linking.
* Improved offline support and syncing.
* Basic noop mode support to simplify testing.
* Improved windows/pycharm support.
* Run object has more modifiable properties.
* Public API supports attaching artifacts to historic runs.
## Bug Fix
* Many bugs fixed due to simplifying logic.
View the [v0.10.0 changelog](https://github.com/wandb/wandb/releases/tag/v0.10.0) on GitHub.
## Enhancement
* New sacred observer available at wandb.sacred.WandbObserver.
* Improved artifact reference tracking for HTTP urls.
## Bug Fix
* Print meaningful error message when runs are queried with `summary` instead of `summary_metrics`.
View the [v0.9.7 changelog](https://github.com/wandb/wandb/releases/tag/v0.9.7) on GitHub.
## Enhancement
* Sub paths of artifacts now expose an optional root directory argument to download().
* Artifact.new\_file accepts an optional mode argument.
* Removed legacy fastai docs as we're now packaged with fastai v2!
## Bug Fix
* Fix yaml parsing error handling logic.
* Bad spelling in torch docstring, thanks @mkkb473.
View the [v0.9.6 changelog](https://github.com/wandb/wandb/releases/tag/v0.9.6) on GitHub.
## Enhancement
* Remove unused y\_probas in sklearn plots, thanks @dreamflasher.
* New deletion apis for artifacts.
## Bug Fix
* Fix `wandb restore` when not logged in.
* Fix artifact download paths on Windows.
* Retry 408 errors on upload.
* Fix mask numeric types, thanks @numpee.
* Fix artifact reference naming mixup.
View the [v0.9.5 changelog](https://github.com/wandb/wandb/releases/tag/v0.9.5) on GitHub.
## Enhancement
* Default pytorch histogram logging frequency from 100 -> 1000 steps.
## Bug Fix
* Fix multiple prompts for login when using the command line.
* Fix "no method rename\_file" error.
* Fixed edgecase histogram calculation in PyTorch.
* Fix error in jupyter when saving session history.
* Correctly return artifact metadata in public api.
* Fix matplotlib / plotly rendering error.
View the [v0.9.4 changelog](https://github.com/wandb/wandb/releases/tag/v0.9.4) on GitHub.
## Enhancement
* New artifact cli commands!
```shell theme={null}
wandb artifact put path_file_or_ref
wandb artifact get artifact:version
wandb artifact ls project_name
```
* New artifact api commands!
```python theme={null}
wandb.log_artifact()
wandb.use_artifact()
wandb.Api().artifact_versions()
wandb.Api().run.used_artifacts()
wandb.Api().run.logged_artifacts()
wandb.Api().Artifact().file()
```
* Improved syncing of large wandb-history.jsonl files for wandb sync.
* New Artifact.verify method to ensure the integrity of local artifacts.
* Better testing harness for api commands.
* Run directory now store local time instead of utc time in the name, thanks @aiyolo!
* Improvements to our doc strings across the board.
* Wandb.Table now supports a `dataframe` argument for logging dataframes as tables!
## Bug Fix
* Artifacts work in python2.
* Artifacts default download locations work in Windows.
* GCS references now properly cache / download, thanks @yoks!
* Fix encoding of numpy arrays to JSON.
* Fix string comparison error message.
View the [v0.9.3 changelog](https://github.com/wandb/wandb/releases/tag/v0.9.3) on GitHub.
## Enhancement
* Major overhaul of artifact caching.
* Configurable cache directory for artifacts.
* Configurable download directory for artifacts.
* New Artifact.verify method to ensure the integrity of local artifacts.
* Use\_artifact no longer requires `type`.
* Deleted artifacts can now be be recommitted.
* Lidar scenes now support vectors.
## Bug Fix
* Fix issue with artifact downloads returning errors.
* Segmentation masks now handle non-unint8 data.
* Fixed path parsing logic in `api.runs()`.
View the [v0.9.2 changelog](https://github.com/wandb/wandb/releases/tag/v0.9.2) on GitHub.
## Bug Fix
* Fix issue where files were always logged to latest run in a project.
* Fix issue where url was not display url on first call to wandb.init.
View the [v0.9.1 changelog](https://github.com/wandb/wandb/releases/tag/v0.9.1) on GitHub.
## Bug Fix
* Handle multiple inits in Jupyter.
* Handle ValueError's when capturing signals, thanks @jsbroks.
* Wandb agent handles rate limiting properly.
## Enhancement
* Wandb.Artifact is now generally available!
* Feature\_importances now supports CatBoost, thanks @neomatrix369.
View the [v0.9.0 changelog](https://github.com/wandb/wandb/releases/tag/v0.9.0) on GitHub.
## Bug Fix
* Catch all exceptions when saving Jupyter sessions.
* Validation\_data automatically set in TF >= 2.2.
* *implements*\* hooks now implemented in keras callback for TF >= 2.2.
## Enhancement
* Raw source code saving now disabled by default.
* We now support global settings on boot to enable code saving on the server.
* New `code_save=True` argument to wandb.init to enable code saving manually.
View the [v0.8.36 changelog](https://github.com/wandb/wandb/releases/tag/v0.8.36) on GitHub.
## Bug Fix
* Ensure cells don't hang on completion.
* Fixed jupyter integration in PyCharm shells.
* Made session history saving handle None metadata in outputs.
View the [v0.8.35 changelog](https://github.com/wandb/wandb/releases/tag/v0.8.35) on GitHub.
## Enhancement
* Save session history in jupyter notebooks.
* Kaggle internet enable notification.
* Extend wandb.plots.feature\_importances to work with more model types, thanks @neomatrix369!
## Bug Fix
* Code saving for jupyter notebooks restored.
* Fixed thread errors in jupyter.
* Ensure final history rows aren't dropped in jupyter.
View the [v0.8.34 changelog](https://github.com/wandb/wandb/releases/tag/v0.8.34) on GitHub.
## Enhancement
* Add default class labels for semantic segmentation.
* Enhance bounding box API to be similar to semantic segmentation API.
## Bug Fix
* Increase media table rows to improve ROC/PR curve logging.
* Fix issue where pre binned histograms were not being handled properly.
* Handle nan values in pytorch histograms.
* Fix handling of binary image masks.
View the [v0.8.33 changelog](https://github.com/wandb/wandb/releases/tag/v0.8.33) on GitHub.
## Enhancement
* Improve semantic segmentation image mask logging.
View the [v0.8.32 changelog](https://github.com/wandb/wandb/releases/tag/v0.8.32) on GitHub.
## Enhancement
* Close all open files to avoice ResourceWarnings, thanks @CrafterKolyan!
## Bug Fix
* Parse "tensor" protobufs, fixing issues with tensorboard syncing in 2.1.
View the [v0.8.31 changelog](https://github.com/wandb/wandb/releases/tag/v0.8.31) on GitHub.
## Enhancement
* Add ROC, precision\_recall, HeatMap, explainText, POS, and NER to wandb.plots.
* Add wandb.Molecule() logging.
* Capture kaggle runs for metrics.
* Add ability to watch from run object.
## Bug Fix
* Avoid accidently picking up global debugging logs.
View the [v0.8.30 changelog](https://github.com/wandb/wandb/releases/tag/v0.8.30) on GitHub.
## Enhancement
* Improve bounding box annotations.
* Log active GPU system metrics.
* Only writing wandb/settings file if wandb init is called.
* Improvements to wandb local command.
## Bug Fix
* Fix GPU logging on some devices without power metrics.
* Fix sweep config command handling.
* Fix tensorflow string logging.
View the [v0.8.29 changelog](https://github.com/wandb/wandb/releases/tag/v0.8.29) on GitHub.
## Enhancement
* Added code saving of main python module.
* Added ability to specify metadata for bounding boxes and segmentation masks.
## Bug Fix
* Fix situations where uncommitted data from wandb.log() is not persisted.
View the [v0.8.28 changelog](https://github.com/wandb/wandb/releases/tag/v0.8.28) on GitHub.
## Bug Fix
* Fix dependency conflict with new versions of six package.
View the [v0.8.27 changelog](https://github.com/wandb/wandb/releases/tag/v0.8.27) on GitHub.
## Enhancement
* Add best metric and epoch to run summary with Keras callback.
* Added wandb.run.config\_static for environments required pickled config.
## Bug Fix
* Fixed regression causing failures with wandb.watch() and DataParallel.
* Improved compatibility with python 3.8.
* Fix model logging under windows.
View the [v0.8.26 changelog](https://github.com/wandb/wandb/releases/tag/v0.8.26) on GitHub.
## Bug Fix
* Fix exception when using wandb.watch() in a notebook.
* Improve support for sparse tensor gradient logging on GPUs.
View the [v0.8.25 changelog](https://github.com/wandb/wandb/releases/tag/v0.8.25) on GitHub.
## Bug Fix
* Relax version dependency for PyYAML for users with old environments.
View the [v0.8.24 changelog](https://github.com/wandb/wandb/releases/tag/v0.8.24) on GitHub.
## Enhancement
* Added scikit-learn support.
* Added ability to specify/exclude specific keys when building wandb.config.
## Bug Fix
* Fix wandb.watch() on sparse tensors.
* Fix incompatibilty with ray 0.8.1.
* Fix missing pyyaml requirement.
* Fix "W\&B process failed to launch" problems.
* Improved ability to log large model graphs and plots.
View the [v0.8.23 changelog](https://github.com/wandb/wandb/releases/tag/v0.8.23) on GitHub.
## Enhancement
* Added ability to configure agent commandline from sweep config.
## Bug Fix
* Fix fast.ai prediction logging.
* Fix logging of eager tensorflow tensors.
* Fix jupyter issues with logging notebook name and wandb.watch().
View the [v0.8.22 changelog](https://github.com/wandb/wandb/releases/tag/v0.8.22) on GitHub.
## Enhancement
* Ignore wandb.init() specified project and entity when running a sweep.
## Bug Fix
* Fix agent "flapping" detection.
* Fix local controller not starting when sweep is pending.
View the [v0.8.21 changelog](https://github.com/wandb/wandb/releases/tag/v0.8.21) on GitHub.
## Enhancement
* Added support for LightGBM.
* Added local board support (Experimental).
* Added ability to modify sweep configuration.
* Added GPU power logging to system metrics.
## Bug Fix
* Prevent sweep agent from failing continuously when misconfigured.
View the [v0.8.20 changelog](https://github.com/wandb/wandb/releases/tag/v0.8.20) on GitHub.
## Enhancement
* Added beta support for ray/tune hyperopt search strategy.
* Added ability to specify max runs per agent.
* Improve experience starting a sweep without a project already created.
## Bug Fix
* Fix repeated wandb.Api().Run(id).scan\_history() calls get updated data.
* Fix early\_terminate/hyperband in notebook/python environments.
View the [v0.8.19 changelog](https://github.com/wandb/wandb/releases/tag/v0.8.19) on GitHub.
## Enhancement
* Added min\_step and max\_step to run.scan\_history for grabbing sub-sections of metrics.
* Wandb.init(reinit=True) now automatically calls wandb.join() to better support multiple runs per process.
## Bug Fix
* Wandb.init(sync\_tensorboard=True) works again for TensorFlow 2.0.
View the [v0.8.18 changelog](https://github.com/wandb/wandb/releases/tag/v0.8.18) on GitHub.
## Enhancement
* Handle tags being passed in as a string.
## Bug Fix
* Pin graphql-core \< 3.0.0 to fix install errors.
* TQDM progress bars update logs properly.
* Oversized summary or history logs are now dropped which prevents retry hanging.
View the [v0.8.17 changelog](https://github.com/wandb/wandb/releases/tag/v0.8.17) on GitHub.
## Bug Fix
* Fix regression syncing some versions of Tensorboard since 0.8.13.
* Fix network error in Jupyter.
View the [v0.8.16 changelog](https://github.com/wandb/wandb/releases/tag/v0.8.16) on GitHub.
## Bug Fix
* Fix calling wandb.init with sync\_tensorboard multiple times in Jupyter.
* Fix RuntimeError race when using threads and calling wandb.log.
* Don't initialize Sentry when error reporting is disabled.
## Enhancement
* Added best\_run() to wandb.sweep() public Api objects.
* Remove internal tracking keys from wandb.config objects in the public Api.
View the [v0.8.15 changelog](https://github.com/wandb/wandb/releases/tag/v0.8.15) on GitHub.
## Bug Fix
* Improve large object warning when values reach maximum size.
* Warn when wandb.save isn't passed a string.
* Run stopping from the UI works since regressing in 0.8.12.
* Restoring a file that already exists locally works.
* Fixed TensorBoard incorrectly placing some keys in the wrong step since 0.8.10.
* Wandb.Video only accepts uint8 instead of incorrectly converting to floats.
* SageMaker environment detection is now more robust.
* Resuming correctly populates config.
* Wandb.restore respects root when run.dir is set #658.
* Calling wandb.watch multiple times properly namespaces histograms and graphs.
## Enhancement
* Sweeps now work in Windows!
* Added sweep attribute to Run in the public api.
* Added sweep link to Jupyter and terminal output.
* TensorBoard logging now stores proper timestamps when importing historic results.
* TensorBoard logging now supports configuring rate\_limits and filtering event types.
* Use simple output mirroring stdout doesn't have a file descriptor.
* Write wandb meta files to the system temp directory if the local directory isn't writable.
* Added beta api.reports to the public API.
* Added wandb.unwatch to remove hooks from pytorch models.
* Store the framework used in config.\_wandb.
View the [v0.8.14 changelog](https://github.com/wandb/wandb/releases/tag/v0.8.14) on GitHub.
## Bug Fix
* Create nested directory when videos are logged from tensorboard namespaces.
* Fix race when using wandb.log `async=True`.
* Run.summary acts like a proper dictionary.
* Run.summary sub dictionaries properly render.
* Handle None when passing class\_colors for segmentation masks.
* Handle tensorflow2 not having a SessionHook.
* Properly escape args in windows.
* Fix hanging login when in anonymode.
* Tf2 keras patch now handles missing callbacks args.
## Enhancement
* Updates documentation autogenerated from docstrings in /docs.
* Wandb.init(config=config\_dict) does not update sweep specified parameters.
* Wandb.config object now has a setdefaults method enabling improved sweep support.
* Improved terminal and jupyter message incorporating emojii!
* Allow wandb.watch to be called multiple times on different models.
* Improved support for watching multiple tfevent files.
* Windows no longer requires `wandb run` simply run `python script_name.py`.
* `wandb agent` now works on windows.
* Nice error message when wandb.log is called without a dict.
* Keras callback has a new `log_batch_frequency` for logging metrics every N batches.
View the [v0.8.13 changelog](https://github.com/wandb/wandb/releases/tag/v0.8.13) on GitHub.
## Bug Fix
* Fix compatibility issue with python 2.7 and old pip dependencies.
## Enhancement
* Improved onboarding flow when creating new accounts and entering api\_key.
View the [v0.8.12 changelog](https://github.com/wandb/wandb/releases/tag/v0.8.12) on GitHub.
## Bug Fix
* Fix public api returning incorrect data when config value is 0 or False.
* Resumed runs no longer overwrite run names with run id.
## Enhancement
* Added recording of spell.run id in config.
View the [v0.8.11 changelog](https://github.com/wandb/wandb/releases/tag/v0.8.11) on GitHub.
## Bug Fix
* Wandb magic handles the case of tf.keras and keras being loaded.
* Tensorboard logging won't drop steps if multiple loggers have different global\_steps.
* Keras gradient logging works in the latest tf.keras.
* Keras validation\_data is properly set in tensorflow 2.
* Wandb pull command creates directories if they don't exist, thanks @chmod644.
* File upload batching now asserts a minimum size.
* Sweeps works in python2 again.
* Scan\_history now iterates the full set of points.
* Jupyter will run local mode if credentials can't be obtained.
## Enhancement
* Sweeps can now be run from within jupyter / directly from python! [https://docs.wandb.com/sweeps/python](https://docs.wandb.com/sweeps/python).
* New openai gym integration will automatically log videos, enabled with the monitor\_gym keyword argument to wandb.init.
* Ray Tune logging callback in wandb.ray.WandbLogger.
* New global config file in \~/.config/wandb for global settings.
* Added tests for fastai, thanks @borisdayma.
* Public api performance enhancements.
* Deprecated username in favor of entity in the public api for consistency.
* Anonymous login support enabled by default.
* New wandb.login method to be used in jupyter enabling anonymous logins.
* Better dependency error messages for data frames.
* Initial integration with spell.run.
* All images are now rendered as PNG to avoid JPEG artifacts.
* Public api now has a projects field.
View the [v0.8.10 changelog](https://github.com/wandb/wandb/releases/tag/v0.8.10) on GitHub.
## Bug Fix
* Run.summary updates work in jupyter before log is called.
* Don't require numpy to be installed.
* Setting nested keys in summary works.
* Notebooks in nested directories are properly saved.
* Don't retry 404's / better error messaging from the server.
* Strip leading slashes when loading paths in the public api.
## Enhancement
* Small files are batch uploaded as gzipped tarballs.
* TensorBoardX gifs are logged to wandb.
View the [v0.8.9 changelog](https://github.com/wandb/wandb/releases/tag/v0.8.9) on GitHub.
## Bug Fix
* Wandb.init properly handles network failures on startup.
* Keras callback only logs examples if data\_type or input\_type is set.
* Fix edge case PyTorch model logging bug.
* Handle patching tensorboard multiple times in jupyter.
* Sweep picks up config.yaml from the run directory.
* Dataframes handle integer labels.
* Handle invalid JSON when querying jupyter servers.
## Enhancement
* Fastai uses a fixed seed for example logging.
* Increased the max number of images for fastai callback.
* New wandb.Video tag for logging video.
* Sync=False argument to wandb.log moves logging to a thread.
* New local sweep controller for custom search logic.
* Anonymous login support for easier onboarding.
* Calling wandb.init multiple times in jupyter doesn't error out.
View the [v0.8.8 changelog](https://github.com/wandb/wandb/releases/tag/v0.8.8) on GitHub.
## Bug Fix
* Keras callback no longer guesses input\_type for 2D data.
* Wandb.Image handles images with 1px height.
## Enhancement
* Wandb Public API now has `run.scan_history` to return all history rows.
* Wandb.config prints helpful errors if used before calling init.
* Wandb.summary prints helpful errors if used before calling init.
* Filestream api points to new url on the backend.
View the [v0.8.7 changelog](https://github.com/wandb/wandb/releases/tag/v0.8.7) on GitHub.
## Bug Fix
* Fastai callback uses the default monitor instead of assuming val\_loss.
* Notebook introspections handles error cases and doesn't print stacktrace on failure.
* Don't print description warning when setting name.
* Fixed dataframe logging error with the keras callback.
* Fixed line offsets in logs when resuming runs.
* Wandb.config casts non-builtins before writing to yaml.
* Vendored backports.tempfile to address missing package on install.
## Enhancement
* Added `api.sweep` to the python export api for querying sweeps.
* Added `WANDB_NOTEBOOK_NAME` for specifying the notebook name in cases we can't infer it.
* Added `WANDB_HOST` to override hostnames.
* Store if a run was run within jupyter.
* Wandb now supports stopping runs from the web ui.
* Handle floats passed as step to `wandb.log`.
* Wandb.config has full unicode support.
* Sync the main file to wandb if code saving is enabled and it's untracked by git.
* XGBoost callback: wandb.xgboost.wandb\_callback().
View the [v0.8.6 changelog](https://github.com/wandb/wandb/releases/tag/v0.8.6) on GitHub.
## Bug Fix
* Fixed plotly charts with large numpy arrays not rendering.
* `wandb docker` works when nvidia is present.
* Better error when non string keys are sent to log.
* Relaxed pyyaml dependency to fix AMI installs.
* Magic works in jupyter notebooks.
## Enhancement
* New preview release of auto-dataframes for Keras.
* Added input\_type and output\_type to the Keras callback for simpler config.
* Public api supports retrieving specific keys and custom xaxis.
View the [v0.8.5 changelog](https://github.com/wandb/wandb/releases/tag/v0.8.5) on GitHub.
## Bug Fix
* WANDB\_IGNORE\_GLOBS is respected on the final scan of files.
* Unified run.id, run.name, and run.notes across all apis.
* Handle funky terminal sizes when setting up our pseudo tty.
* Fixed Jupyter notebook introspection logic.
* Run.summary.update() persists changes to the server.
* Tensorboard syncing is robust to invalid histograms and truncated files.
## Enhancement
* Preview release of magic, calling wandb.init(magic=True) should automatically track config and metrics when possible.
* Cli now supports local installs of the backend.
* Fastai callback supports logging example images.
View the [v0.8.4 changelog](https://github.com/wandb/wandb/releases/tag/v0.8.4) on GitHub.
## Bug Fix
* Image logging works in Windows.
* Wandb sync handles tfevents with a single timestep.
* Fix incorrect command in overview page for running runs.
* Handle histograms with > 512 bins when streaming tensorboard.
* Better error message when calling wandb sync on a file instead of a directory.
## Enhancement
* New helper function for handling hyperparameters in sweeps `wandb.config.user_items()`.
* Better mocking for improved testing.
View the [v0.8.3 changelog](https://github.com/wandb/wandb/releases/tag/v0.8.3) on GitHub.
## Bug Fix
* Entity is persisted on wandb.run when queried from the server.
* Tmp files always use the temporary directory to avoid syncing.
* Raise error if file shrinks while uploading.
* Images log properly in windows.
* Upgraded pyyaml requirement to address CVE.
* No longer store a history of rows to prevent memory leak.
## Enhancement
* Summary now supports new dataframe format.
* WANDB\_SILENT environment variable writes all wandb messages to debug.log.
* Improved error messages for windows and tensorboard logging.
* Output.log is uploaded at the end of each run.
* Metadata, requirements, and patches are uploaded at the beginning of a run.
* When not running from a git repository, store the main python file.
* Added WANDB\_DISABLE\_CODE to prevent diffing and code saving.
* When running in jupyter store the name of the notebook.
* Auto-login support for colab.
* Store url to colab notebook.
* Store the version of this library in config.
* Store sys.executable in metadata.
* Fastai callback no longer requires path.
* Wandb.init now accepts a notes argument.
* The cli replaced the message argument with notes and name.
View the [v0.8.2 changelog](https://github.com/wandb/wandb/releases/tag/v0.8.2) on GitHub.
## Bug Fix
* Wandb sync handles tensorboard embeddings.
* Wandb sync correctly handles images in tensorboard.
* Tf.keras correctly handles single input functional models.
* Wandb.Api().runs returns an iterator that's reusable.
* WANDB\_DIR within a hidden directory doesn't prevent syncing.
* Run.files() iterates over all files.
* Pytorch recursion too deep error.
## Enhancement
* Wandb sync accepts an --ignore argument with globs to skip files.
* Run.summary now has an items() method for iterating over all keys.
View the [v0.8.1 changelog](https://github.com/wandb/wandb/releases/tag/v0.8.1) on GitHub.
## Bug Fix
* Better error messages on access denied.
* Better error messages when optional packages aren't installed.
* Urls printed to the terminal are url-escaped.
* Namespaced tensorboard events work with histograms.
* Public API now retries on failures and re-uses connection pool.
* Catch git errors when remotes aren't pushed to origin.
* Moved keras graph collection to on\_train\_begin to handle unbuilt models.
* Handle more cases of not being able to save weights.
* Updates to summary after resuming are persisted.
* PyTorch histc logging fixed in 0.4.1.
* Fixed `wandb sync` tensorboard import.
## Enhancement
* Wandb.init(tensorboard=True) works with Tensorflow 2 and Eager Execution.
* Wandb.init(tensorboard=True) now works with tb-nightly and PyTorch.
* Automatically log examples with tf.keras by adding missing validation\_data.
* Socket only binds to localhost for improved security and prevents firewall warnings in OSX.
* Added user object to public api for getting the source user.
* Added run.display\_name to the public api.
* Show display name in console output.
* Added --tags, --job\_group, and --job\_type to `wandb run`.
* Added environment variable for minimum time to run before considering crashed.
* Added flake8 tests to CI, thanks @cclauss!
View the [v0.8.0 changelog](https://github.com/wandb/wandb/releases/tag/v0.8.0) on GitHub.
## Bug Fix
* Wandb-docker-run accepts image digests.
* Keras callback works in tensorflow2-alpha0.
* Keras model graph now puts input layer first.
## Enhancement
* PyTorch log frequency added for gradients and weights.
* PyTorch logging performance enhancements.
* Wandb.init now accepts a name parameter for naming runs.
* Wandb.run.name reflects custom display names.
* Improvements to nested summary values.
* Deprecated wandb.Table.add\_row in favor of wandb.Table.add\_data.
* Initial support for a fast.ai callback thanks to @borisdayma!
View the [v0.7.3 changelog](https://github.com/wandb/wandb/releases/tag/v0.7.3) on GitHub.
## Bug Fix
* Run.get\_url resolves the default entity if one wasn't specified.
* Wandb restore accepts run paths with only slashes.
* Fixed PyYaml deprecation warnings.
* Added entrypoint shell script to manifest.
* Strip newlines from cuda version.
View the [v0.7.2 changelog](https://github.com/wandb/wandb/releases/tag/v0.7.2) on GitHub.
## Bug Fix
* Handle case insensitive docker credentials.
* Fix app\_url for private cloud login flow.
* Don't retry 404's when starting sweep agents.
View the [v0.7.1 changelog](https://github.com/wandb/wandb/releases/tag/v0.7.1) on GitHub.
## Bug Fix
* Ensure DNS lookup failures can't prevent startup.
* Centralized debug logging.
* Wandb agent waits longer to send a SIGKILL after sending SIGINT.
## Enhancement
* Support for logging docker images with the WANDB\_DOCKER env var.
* WANDB\_DOCKER automatically set when run in kubernetes.
* New wandb-docker-run command to automatically set env vars and mount code.
* Wandb.restore supports launching docker for runs that ran with it.
* Python packages are now recorded and saved in a requirements.txt file.
* Cpu\_count, gpu\_count, gpu, os, and python version stored in wandb-metadata.json.
* The export api now supports docker-like paths, i.e. username/project:run\_id.
* Better first time user messages and login info.
View the [v0.7.0 changelog](https://github.com/wandb/wandb/releases/tag/v0.7.0) on GitHub.
## Bug Fix
* Improve error reporting for sweeps.
View the [v0.6.35 changelog](https://github.com/wandb/wandb/releases/tag/v0.6.35) on GitHub.
## Bug Fix
* Improve error reporting for sweeps.
View the [v0.6.35 changelog](https://github.com/wandb/wandb/releases/tag/v0.6.35) on GitHub.
## Bug Fix
* Improve error reporting for sweeps.
View the [v0.6.35 changelog](https://github.com/wandb/wandb/releases/tag/v0.6.35) on GitHub.
### Bug Fix
* Improve error reporting for sweeps.
View the [v0.6.35 changelog](https://github.com/wandb/wandb/releases/tag/v0.6.35) on GitHub.
## Bug Fix
* Improve error reporting for sweeps.
View the [v0.6.35 changelog](https://github.com/wandb/wandb/releases/tag/v0.6.35) on GitHub.
## Bug Fix
* Improve error reporting for sweeps.
View the [v0.6.35 changelog](https://github.com/wandb/wandb/releases/tag/v0.6.35) on GitHub.
## Bug Fix
* Fixed Jupyter logging, don't change logger level.
* Fixed resuming in Jupyter.
## Enhancement
* Wandb.init now degrades gracefully if a user hasn't logged in to wandb.
* Added a **force** flag to wandb.init to require a machine to be logged in.
* Tensorboard and TensorboardX logging is now automatically instrumented when enabled.
* Added a **tensorboard** to wandb.init which patches tensorboard for logging.
* Wandb.save handles now accepts a base path to files in sub directories.
* Wandb.tensorflow and wandb.tensorboard can now be accessed without directly importing.
* `wandb sync` will now traverse a wandb run directory and sync all runs.
View the [v0.6.34 changelog](https://github.com/wandb/wandb/releases/tag/v0.6.34) on GitHub.
## Bug Fix
* Fixed Jupyter logging, don't change logger level.
* Fixed resuming in Jupyter.
## Enhancement
* Wandb.init now degrades gracefully if a user hasn't logged in to wandb.
* Added a **force** flag to wandb.init to require a machine to be logged in.
* Tensorboard and TensorboardX logging is now automatically instrumented when enabled.
* Added a **tensorboard** to wandb.init which patches tensorboard for logging.
* Wandb.save handles now accepts a base path to files in sub directories.
* Wandb.tensorflow and wandb.tensorboard can now be accessed without directly importing.
* `wandb sync` will now traverse a wandb run directory and sync all runs.
View the [v0.6.34 changelog](https://github.com/wandb/wandb/releases/tag/v0.6.34) on GitHub.
## Bug Fix
* Fixed Jupyter logging, don't change logger level.
* Fixed resuming in Jupyter.
## Enhancement
* Wandb.init now degrades gracefully if a user hasn't logged in to wandb.
* Added a **force** flag to wandb.init to require a machine to be logged in.
* Tensorboard and TensorboardX logging is now automatically instrumented when enabled.
* Added a **tensorboard** to wandb.init which patches tensorboard for logging.
* Wandb.save handles now accepts a base path to files in sub directories.
* Wandb.tensorflow and wandb.tensorboard can now be accessed without directly importing.
* `wandb sync` will now traverse a wandb run directory and sync all runs.
View the [v0.6.34 changelog](https://github.com/wandb/wandb/releases/tag/v0.6.34) on GitHub.
### Bug Fix
* fixed Jupyter logging, don't change logger level.
* fixed resuming in Jupyter.
### Enhancement
* wandb.init now degrades gracefully if a user hasn't logged in to wandb.
* added a **force** flag to wandb.init to require a machine to be logged in.
* Tensorboard and TensorboardX logging is now automatically instrumented when enabled.
* added a **tensorboard** to wandb.init which patches tensorboard for logging.
* wandb.save handles now accepts a base path to files in sub directories.
* wandb.tensorflow and wandb.tensorboard can now be accessed without directly importing.
* `wandb sync` will now traverse a wandb run directory and sync all runs.
View the [v0.6.34 changelog](https://github.com/wandb/wandb/releases/tag/v0.6.34) on GitHub.
## Bug Fix
* Fixed Jupyter logging, don't change logger level.
* Fixed resuming in Jupyter.
## Enhancement
* Wandb.init now degrades gracefully if a user hasn't logged in to wandb.
* Added a **force** flag to wandb.init to require a machine to be logged in.
* Tensorboard and TensorboardX logging is now automatically instrumented when enabled.
* Added a **tensorboard** to wandb.init which patches tensorboard for logging.
* Wandb.save handles now accepts a base path to files in sub directories.
* Wandb.tensorflow and wandb.tensorboard can now be accessed without directly importing.
* `wandb sync` will now traverse a wandb run directory and sync all runs.
View the [v0.6.34 changelog](https://github.com/wandb/wandb/releases/tag/v0.6.34) on GitHub.
## Bug Fix
* Fixed Jupyter logging, don't change logger level.
* Fixed resuming in Jupyter.
## Enhancement
* Wandb.init now degrades gracefully if a user hasn't logged in to wandb.
* Added a **force** flag to wandb.init to require a machine to be logged in.
* Tensorboard and TensorboardX logging is now automatically instrumented when enabled.
* Added a **tensorboard** to wandb.init which patches tensorboard for logging.
* Wandb.save handles now accepts a base path to files in sub directories.
* Wandb.tensorflow and wandb.tensorboard can now be accessed without directly importing.
* `wandb sync` will now traverse a wandb run directory and sync all runs.
View the [v0.6.34 changelog](https://github.com/wandb/wandb/releases/tag/v0.6.34) on GitHub.
## Bug Fix
* Fixed race where wandb process could hang at the end of a run.
View the [v0.6.33 changelog](https://github.com/wandb/wandb/releases/tag/v0.6.33) on GitHub.
## Bug Fix
* Fixed race where wandb process could hang at the end of a run.
View the [v0.6.33 changelog](https://github.com/wandb/wandb/releases/tag/v0.6.33) on GitHub.
## Bug Fix
* Fixed race where wandb process could hang at the end of a run.
View the [v0.6.33 changelog](https://github.com/wandb/wandb/releases/tag/v0.6.33) on GitHub.
### Bug Fix
* Fixed race where wandb process could hang at the end of a run.
View the [v0.6.33 changelog](https://github.com/wandb/wandb/releases/tag/v0.6.33) on GitHub.
## Bug Fix
* Fixed race where wandb process could hang at the end of a run.
View the [v0.6.33 changelog](https://github.com/wandb/wandb/releases/tag/v0.6.33) on GitHub.
## Bug Fix
* Fixed race where wandb process could hang at the end of a run.
View the [v0.6.33 changelog](https://github.com/wandb/wandb/releases/tag/v0.6.33) on GitHub.
## Bug Fix
* Fix resuming in Jupyter on kernel restart.
* Wandb.save ensures files are pushed regardless of growth.
## Enhancement
* Added replace=True keyword to init for auto-resuming.
* New run.resumed property that can be used to detect if we're resuming.
* New run.step property to use for setting an initial epoch on resuming.
* Made Keras callback save the best model as it improves.
View the [v0.6.32 changelog](https://github.com/wandb/wandb/releases/tag/v0.6.32) on GitHub.
## Bug Fix
* Really don't require numpy.
* Better error message if wandb.log is called before wandb.init.
* Prevent calling wandb.watch multiple times.
* Handle datetime attributes in logs / plotly.
## Enhancement
* Add environment to sweeps.
* Enable tagging in the public API and in wandb.init.
* New media type wandb.Html for logging arbitrary html.
* Add Public api.create\_run method for custom integrations.
* Added glob support to wandb.save, files save as they're written to.
* Added wandb.restore for pulling files on resume.
View the [v0.6.31 changelog](https://github.com/wandb/wandb/releases/tag/v0.6.31) on GitHub.
## Bug Fix
* Added a timeout for generating diffs on large repos.
* Fixed edge case where file syncing could hang.
* Ensure all file changes are captured before exit.
* Handle cases of sys.exit where code isn't passed.
* Don't require numpy.
## Enhancement
* New `wandb sync` command that pushes a local directory to the cloud.
* Support for syncing tfevents file during training.
* Detect when running as TFJob and auto group.
* New Kubeflow module with initial helpers for pipelines.
View the [v0.6.30 changelog](https://github.com/wandb/wandb/releases/tag/v0.6.30) on GitHub.
## Bug Fix
* Fixed history / summary bug.
View the [v0.6.29 changelog](https://github.com/wandb/wandb/releases/tag/v0.6.29) on GitHub.
## Enhancement
* Initial support for AWS SageMaker.
* `hook_torch` renamed to `watch` with a deprecation warning.
* Projects are automatically created if they don't exist.
* Additional GPU memory\_allocated metric added.
* Keras Graph stores edges.
## Bug Fix
* PyTorch graph parsing is more robust.
* Fixed PyTorch 0.3 support.
* File download API supports WANDB\_API\_KEY authentication.
View the [v0.6.28 changelog](https://github.com/wandb/wandb/releases/tag/v0.6.28) on GitHub.
## Enhancement
* Sweeps work with new backend (early release).
* Summary tracks all history metrics unless they're overridden by directly writing.
to summary.
* Files support in data API.
## Bug Fix
* Show ongoing media file uploads in final upload progress.
View the [v0.6.27 changelog](https://github.com/wandb/wandb/releases/tag/v0.6.27) on GitHub.
## Enhancement
* Wandb.Audio supports duration.
## Bug Fix
* Pass username header in filestream API.
View the [v0.6.26 changelog](https://github.com/wandb/wandb/releases/tag/v0.6.26) on GitHub.
## Enhancement
* New wandb.Audio data type.
* New step keyword argument when logging metrics.
* Ability to specify run group and job type when calling wandb.init() or via.
environment variables. This enables automatic grouping of distributed training runs
in the UI
* Ability to override username when using a service account API key.
## Bug Fix
* Handle non-tty environments in Python2.
* Handle non-existing git binary.
* Fix issue where sometimes the same image was logged twice during a Keras step.
View the [v0.6.25 changelog](https://github.com/wandb/wandb/releases/tag/v0.6.25) on GitHub.
## Enhancement
* PyTorch.
* Added a new `wandb.hook_torch` method which records the graph and logs gradients & parameters of pytorch models
* `wandb.Image` detects pytorch tensors and uses **torchvision.utils.make\_grid** to render the image.
## Bug Fix
* `wandb restore` handles the case of not being run from within a git repo.
View the [v0.6.23 changelog](https://github.com/wandb/wandb/releases/tag/v0.6.23) on GitHub.
## Bug Fix
* We now open stdout and stderr in raw mode in Python 2 ensuring tools like bpdb work.
View the [v0.6.22 changelog](https://github.com/wandb/wandb/releases/tag/v0.6.22) on GitHub.
## Enhancement
* Catastrophic errors are now reported to Sentry unless WANDB\_ERROR\_REPORTING is set to false.
* Improved error handling and messaging on startup.
View the [v0.6.21 changelog](https://github.com/wandb/wandb/releases/tag/v0.6.21) on GitHub.
## Bug Fix
* The first image when calling wandb.log was not being written, now it is.
* `wandb.log` and `run.summary` now remove whitespace from keys.
View the [v0.6.20 changelog](https://github.com/wandb/wandb/releases/tag/v0.6.20) on GitHub.
## Bug Fix
* Vendored prompt\_toolkit \< 1.0.15 because the latest ipython is pinned > 2.0.
* Lazy load wandb.h5 only if `summary` is accessed to improve Data API performance.
## Enhancement
* Jupyter.
* Deprecated `wandb.monitor` in favor of automatically starting system metrics after the first wandb.log call
* Added new **%%wandb** jupyter magic method to display live results
* Removed jupyter description iframe
* The Data API now supports `per_page` and `order` options to the `api.runs` method.
* Initial support for wandb.Table logging.
* Initial support for matplotlib logging.
View the [v0.6.19 changelog](https://github.com/wandb/wandb/releases/tag/v0.6.19) on GitHub.