tensorboardX 2.1

TensorBoardX lets you watch Tensors Flow without Tensorflow

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

1.9 (2019-10-04)

• 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.

1.7 (2019-05-19)

• 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

1.6 (2019-01-02)

• 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.

1.5 (2018-12-10)

• 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)

1.4 (2018-08-09)

• 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

1.2 (2018-04-21)

• Supports tensorshape information in graph visualization. Drop support for 0.3.1
• Adds add_video function

1.1 (2018-02-21)

• Supports pytorch 0.3.1 (hacky)

1.0 (2018-01-18)

• Supports graph (the pretty one)

0.9 (2017-11-11)

• Supports markdown for add_text function
• It’s ready to log precision recall curve (needs tensorboard>=0.4)
• Adds context manager for the SummaryWriter class

0.8 (2017-09-25)

• 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

0.7 (2017-08-22)

• remove tensorflow dependency for embedding function
• fixed incorrect image<->label pairing in embedding function (#12)
• unifies API call and adds docstring. Documentation is available at: http://tensorboard-pytorch.readthedocs.io/

0.6.5 (2017-07-30)

• add travis test (py2.7, py3.6)
• add support for python2 (in PyPI)

0.6 (2017-07-18)

• supports embedding

0.5 (2017-07-18)

• supports graph summary
• fixed np.histogram issue

0.4 (2017-07-12)

• supports text summary

0.3 (2017-07-03)

• supports audio summary

0.2 (2017-06-24)

• simplifies add_image API
• speed up add_histogram API by 35x

0.1 (2017-06-13)

• First commit. Reference:

https://github.com/TeamHG-Memex/tensorboard_logger https://github.com/dmlc/tensorboard