Skip to main content

TensorBored: a PyTorch-first TensorBoard fork

Project description

TensorBored is a suite of web applications for inspecting and understanding your training runs and graphs, with a focus on PyTorch compatibility.

This is a fork of TensorBoard. Install with pip install tensorbored.

For PyTorch projects, use from tensorbored.torch import SummaryWriter — a drop-in replacement that removes the need to install the original tensorboard package.

Project details


Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

tensorbored-2.21.0rc1771427700-py3-none-any.whl (6.1 MB view details)

Uploaded Python 3

File details

Details for the file tensorbored-2.21.0rc1771427700-py3-none-any.whl.

File metadata

File hashes

Hashes for tensorbored-2.21.0rc1771427700-py3-none-any.whl
Algorithm Hash digest
SHA256 1eedcc7d892192600e0ef3b917ed04b966343fd5fa4762a54fd39125b466a9ea
MD5 1542894658e25c9671fec8f445aeded6
BLAKE2b-256 c09b1e53bb43fb0863ce2f7c22694c04452c191625862b35cb2471e81ae59fc9

See more details on using hashes here.

Provenance

The following attestation bundles were made for tensorbored-2.21.0rc1771427700-py3-none-any.whl:

Publisher: wheel-prerelease.yml on Demonstrandum/tensorbored

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

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