Skip to main content

TensorBoardX lets you watch Tensors Flow without Tensorflow

Project description

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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

tensorboardX-2.1.tar.gz (93.6 kB view details)

Uploaded Source

Built Distribution

tensorboardX-2.1-py2.py3-none-any.whl (308.8 kB view details)

Uploaded Python 2Python 3

File details

Details for the file tensorboardX-2.1.tar.gz.

File metadata

  • Download URL: tensorboardX-2.1.tar.gz
  • Upload date:
  • Size: 93.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.3.1.post20200622 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.7.7

File hashes

Hashes for tensorboardX-2.1.tar.gz
Algorithm Hash digest
SHA256 9e8907cf2ab900542d6cb72bf91aa87b43005a7f0aa43126268697e3727872f9
MD5 9d4411c90e180bef26a07f26b9d5a2c4
BLAKE2b-256 819e2ec36244782d52dc2702040276b69a24a75df6bde620116a5ff12d3e92f0

See more details on using hashes here.

File details

Details for the file tensorboardX-2.1-py2.py3-none-any.whl.

File metadata

  • Download URL: tensorboardX-2.1-py2.py3-none-any.whl
  • Upload date:
  • Size: 308.8 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.3.1.post20200622 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.7.7

File hashes

Hashes for tensorboardX-2.1-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 2d81c10d9e3225dcd9bb5fb277588610bdf45317603e7682f6953d83b5b38f6a
MD5 418c045a9b7c49cb5fac35a2294614ab
BLAKE2b-256 af0c4f41bcd45db376e6fe5c619c01100e9b7531c55791b7244815bac6eac32c

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page