edits and state/eval addition #22
Merged
Conversation
This file contains 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
add batch norm , norm layers init func additions - add `tree_evaluation` to return a tree with layers modified to operate during eval. also enable `tree_evaluation.def_evaluation` to determine the evaluation rule by dispatch. - add `tree_state` to return a tree with state corresponds to layer (if exists), and defines `tree_state.def_state` to define state rules for layers by dispatch.
Codecov ReportPatch coverage:
Additional details and impacted files@@ Coverage Diff @@
## main #22 +/- ##
==========================================
- Coverage 94.11% 94.10% -0.02%
==========================================
Files 49 51 +2
Lines 3331 3424 +93
==========================================
+ Hits 3135 3222 +87
- Misses 196 202 +6
☔ View full report in Codecov by Sentry. |
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Outdated suggestions cannot be applied.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.
tree_evaluationto return a tree with layers modified to operate during eval. also enabletree_evaluation.def_evaluationto determine the evaluation rule by dispatch.tree_stateto return a tree with state corresponds to layer (if exists), and definestree_state.def_stateto define state rules for layers by dispatch.