160 develop TensorBoard event handler #161
Merged
Conversation
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
wyli
reviewed
Mar 9, 2020
wyli
force-pushed
the
160-develop-tensorboard-event-handler
branch
from
3938ce3 to
9a58eed
Compare
wyli
approved these changes
Mar 12, 2020
Nic-Ma
added a commit
that referenced
this pull request
Mar 12, 2020
* 160 develop TensorBoard event handler (#161) Co-authored-by: Kevin Lu <kevlu@nvidia.com> Co-authored-by: Wenqi Li <wenqil@nvidia.com> * Adding dict-based and random spatial transforms. (#163) Co-authored-by: Nic Ma <nma@nvidia.com> * [DLMED] add 3D classification inference examples Co-authored-by: Kevin Lu <kevlu@nvidia.com> Co-authored-by: Wenqi Li <wenqil@nvidia.com> Co-authored-by: Mohammad Adil <madil@nvidia.com> Co-authored-by: root <root@apt-sh-ai.nvidia.com>
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Fixes #160 .
Description
This PR implemented an Event handler to support TensorBoard recording.
It can record loss values, metrics and 2D/3D model outputs as images.
Status
Ready
Types of changes