-
Notifications
You must be signed in to change notification settings - Fork 214
[Type Refactor] Move type implementations and mappers to internal package #172
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Merged
karllessard
merged 3 commits into
tensorflow:master
from
karllessard:type-refactor-mappers
Dec 18, 2020
Merged
[Type Refactor] Move type implementations and mappers to internal package #172
karllessard
merged 3 commits into
tensorflow:master
from
karllessard:type-refactor-mappers
Dec 18, 2020
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
50ef157
to
f4b6fe3
Compare
Craigacp
requested changes
Dec 18, 2020
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
Small comments.
tensorflow-core/tensorflow-core-api/src/main/java/org/tensorflow/TensorMapper.java
Show resolved
Hide resolved
...low-core/tensorflow-core-api/src/main/java/org/tensorflow/internal/buffer/ByteSequencer.java
Outdated
Show resolved
Hide resolved
...ow-core/tensorflow-core-api/src/main/java/org/tensorflow/internal/types/TBfloat16Mapper.java
Outdated
Show resolved
Hide resolved
...rflow-core/tensorflow-core-api/src/main/java/org/tensorflow/internal/types/TInt64Mapper.java
Outdated
Show resolved
Hide resolved
...rflow-core/tensorflow-core-api/src/main/java/org/tensorflow/internal/types/TInt64Mapper.java
Outdated
Show resolved
Hide resolved
tensorflow-core/tensorflow-core-api/src/main/java/org/tensorflow/types/TBfloat16.java
Show resolved
Hide resolved
tensorflow-core/tensorflow-core-api/src/main/java/org/tensorflow/types/TBool.java
Show resolved
Hide resolved
Craigacp
previously approved these changes
Dec 18, 2020
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
LGTM
Thanks a lot @Craigacp for this quick review! |
rnett
pushed a commit
to rnett/tensorflow-java
that referenced
this pull request
Dec 28, 2020
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.
In this relatively-simple PR, I move the implementations of the typed tensors (
TType
) and their mapping method to the internal package as separate objects.While the reason for doing it might seem unclear at this point, it will make more sense in the next PR where the
*Mapper
class could be referenced from a new@TensorType
annotation. In addition, segregating the implementation classes from their respective interfaces is more scalable for when we'll start supporting different categories of tensors, like sparse and ragged.Note that these changes has no impact on the user API and is completely backward compatible.
CC\ @deansher