tensorboardx

What's Changed

• update deprecated parameter and fix #714 by @hubutui in https://github.com/lanpa/tensorboardX/pull/715
• Fix: make writer fw_tag windows compatible by @DumbMice in https://github.com/lanpa/tensorboardX/pull/721
• Remove caffe2 support by @lanpa in https://github.com/lanpa/tensorboardX/pull/734
• Remove beholder by @lanpa in https://github.com/lanpa/tensorboardX/pull/740
• Use ruff as linter by @lanpa in https://github.com/lanpa/tensorboardX/pull/741
• Update LICENSE, fix copyright license year by @JasonnnW3000 in https://github.com/lanpa/tensorboardX/pull/744
• Add moviepy 2 compatibility by @Daraan in https://github.com/lanpa/tensorboardX/pull/747
• Add use_metadata context manager (fixes #745). by @tillahoffmann in https://github.com/lanpa/tensorboardX/pull/746
• Update support to paddle by @HydrogenSulfate in https://github.com/lanpa/tensorboardX/pull/728

Full Changelog: https://github.com/lanpa/tensorboardX/compare/v2.6.2...v2.6.4

• Added protobuf's lower bound version (>=3.20)

• [Yanked because operation miss] Added protobuf's lower bound version (>=3.20)

• [Yanked because wrong dependency] Removed version limit for protobuf

don't re-compile protobuf

• Fixed several deprecation warnings

• Update dependencies

• Enforce protobuf's version upper bound

Dependency cleanup (#666) fixes #663

* fix dependency issues

* remove py36 test

• Fix a comet plugin bug if writer is reused. (#639)

Remove a dependency issue caused by v2.3. (#631)

2.3 (2021-06-20)

• Support logging to comet.ml simutaneously.

• Support for type hints.
• Dropped Python 2 support.
• Bug fixes, see the commit log in Github.

2.1 (2020-07-05)

• Global SummaryWriter that mimics python's default logger class, concurrent write is supported.
• 200x speed up for add_audio. Please install the soundfile package for this feature.
• Supports jax tensors.
• The add_graph function is delegated to the one in torch.utils.tensorboard.
• Bug fixes, see the commit log in Github.

2.0 (2019-12-31)

• Now you can tag Hparams trials with custom name instead of the default epoch time
• Fixed a bug that add_hparams are rendered incorrectly with non-string values
• Supports logging to Amazon S3 or Google Cloud Storage
• Bug fixes and error message for add_embedding function
• Draw openvino format with add_openvino_graph

• Use new JIT backend for pytorch. This works better with pytorch 1.2 and 1.3
• Supports hparams plugin
• add_embedding now supports numpy array input

1.8 (2019-07-05)

• Draw label text on image with bounding box provided.
• crc32c speed up (optional by installing crc32c manually)
• Rewrite add_graph. onnx backend is replaced by JIT to support more advanced structure.
• Now you can add_mesh() to visualize colorful point cloud or meshes.

• Able to write to S3
• Fixed raw histogram issue that nothing is shown in TensorBoard
• Users can use various image/video dimension permutation by passing 'dataformats' parameter.
• You can bybass the writer by passing write_to_disk=True to SummaryWriter.
• Fix bugs

[update Jun.21 2019] important notice

SummaryWriter's initializer's paremeter: log_dir was accidently changed to logdir. This makes some code not backward compatible. The unit tests doesn't cover that so It just got merged and be part of v1.7.

• Many graph related bug is fixed in this version.
• New function: add_images(). This function accepts 4D iamge tensor. See documentation.
• Make add_image_with_boxes() usable.
• API change: add_video now accepts BxTxCxHxW instead of BxCxTxHxW tensor.

• Add API for Custom scalar
• Add support for logging directly to S3
• Add support for Caffe2 graph
• Pytorch 1.0.0 JIT graph support (alpha-release)

• Made add_text compatible with tensorboard>1.6

• Fix the issue of strange histogram if default binning method is used

• Supports passing matplotlib figures to add_image()

• Resolve namespace confliction with TF tensorboard

• add_image_boxes function

• Supports custom timestamp for event

• Supports tensorshape information and show node name in graph visualization. This requires pytorch==0.4
• Adds add_video function. You can play video clip now
  • You can use tensorboard-dumper to dump images.
• Better embedding function

People who use pytorch==0.3.1 should use tensorboardX==1.1 People who use pytorch==0.4 should use tensorboardX==1.2

• Supports pytorch 0.3.1 (hacky)

Major Tensorboard features are ready: audio, scalar, distribution, graph, histogram, image, pr curve, projector, text (markdown).

• Package name renamed to tensorboardX to fix namespace confliction with tensorflow's tensorboard

• Supports multi-scalars and JSON export

• Multiple Embeddings in One Experiment

• Supports Chainer and mxnet