Layers phase 1 #318
Closed
Layers phase 1 #318
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
Sync with master tensorflow on upstream
Merge main branch to local branch
Update after losses merge
Fix Javadoc errors (tensorflow#152)
pull type def
Metrics Phase 1 (tensorflow#180)
Pull latest tensorflow master
Merge with latest
Resync with origin/master
Sync with tensorflow/java master
Moved tf.raw.nn Ops to tf.nn. Changed generation to generate SoftmaxCrossEntropyWithLogits and SparseSoftmaxCrossEntropyWithLogits to core NNOps (tf.nn).
Added NnOps and SetOps as groups. Fixed MetricsHelper and Losses to use the bew FrameworkOps. Moved SetsOps to framework.op.
Added NnOps and SetOps as groups. Fixed MetricsHelper and Losses to use the bew FrameworkOps. Moved SetsOps to framework.op.
Sync with Metrics Phase 2
Sync with master
Sync with Regularizers
Moved tf.raw.nn Ops to tf.nn. Changed generation to generate SoftmaxCrossEntropyWithLogits and SparseSoftmaxCrossEntropyWithLogits to core NNOps (tf.nn).
Added NnOps and SetOps as groups. Fixed MetricsHelper and Losses to use the bew FrameworkOps. Moved SetsOps to framework.op.
Added NnOps and SetOps as groups. Fixed MetricsHelper and Losses to use the bew FrameworkOps. Moved SetsOps to framework.op.
…Logits and sparseSoftmaxCrossEntropyWithLogits
…l on the AssertThats. This change is unrelated to this PR, but the bug showed up here.
|
@Craigacp FYI: I had to change |
Add softmax test, fixed bugs in framework softmax
…dded NNhelper for the transpose code, change softmax to use the transpose code and added logSoftmax to do the same thing. Added test cases for logSoftmax.
|
@karllessard I am replacing this branch with a new branch based on the latest version of Master. This branch is out of sync with master, an won't successfully rebase. Therefore, I am creating a new branch and will be replacing this PR with a new one. |
|
This PR is being closed because the code became too stable with respect to Master. A new PR is being created to replace this one. |
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.
These are the first set of model layers, fairly simple ones without back propagation.
I have also revamped the
TestSession,GraphTestSessionandEagerTestSessionto use lambdas for common operations between the Graph and Eager modes. This will need to be updated with #272, "Tensor.dataToString" when that is merged.This PR supersedes #65, "Adding layers (based on keras) supporting multiple outputs"
This PR is dependent on PRs #255 "Framework Ops", and #191 "TensorFormat enum". I temporary created a copy of TensorFormat until #191 is merged.
The layers framework supports multiple inputs and outputs, but some layers are restricted to single input/output by design,
(e.g. Dense).
SequentialLayersTesttests chaining layers together like in the Sequential Model.