TensorBoardX lets you watch Tensors Flow without Tensorflow
Project description
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
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