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Commits on Oct 19, 2020

• Automated rollback of commit 67a733612df2debdaad9a787dcca300a4c924ff6

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  Jonathan Shen

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Commits on Oct 18, 2020

• Additional changes for conformer StreamStep()

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Commits on Oct 17, 2020

• Update to 2.3.0, including updating protoc version.

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  Jonathan Shen

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• Update toolchain.

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  Jonathan Shen

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Commits on Oct 16, 2020

• Wrap tf.identity() around variables iff not using TPU.

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  Jonathan Shen

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• Update docstring.

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  Jonathan Shen

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• Implement gradient dropout as a layer.

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  jngiam

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• Remove flag use_tf_function and duplicate TF version checks. Now it's using

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• More efficient version of drop random points with padding.

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  Vijay Vasudevan

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• Fix minor bug in eval non-scalar summaries.

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• Allow eval only program when train_executions_per_eval = 0. This enables different topo used for training and eval/decode.

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• Use tf2.enabled to determine whether to enable tf.function.

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• Add option to skip normalization layers for unittest

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Commits on Oct 15, 2020

• fix num_points for RandomDropLaserPoints with padding.

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• Convert to new Benchmark API

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Commits on Oct 14, 2020

• Internal Change.

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  Jonathan Shen

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• Internal change.

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  Jonathan Shen

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• Add Shutdown call.

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  jngiam

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• Delete recurrent_gpu_test. Make recurrent_test support running with gpu as

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  Jonathan Shen

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Commits on Oct 13, 2020

• Internal changes for running executor on cloud tpus.

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  bignamehyp

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• Single step methods for conformer

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• Open source gshard step-3: open source DenseBuilder and UniTransformer

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  bignamehyp

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• Extend TextDiff to handle sequence types better (like lists and tuples).

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• When choosing to load checkpoint, prefer the file if it exists over treating it

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  Jonathan Shen

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Commits on Oct 12, 2020

• Returns all possible key names in hyperparams.Params._KeyErrorString().

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  Ruoming Pang

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• Internal test change.

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• Support causal case for new conformer layers

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Commits on Oct 10, 2020

• * This CL enables Lingvo to train a model across multiple TPU jobs and adds a simple test model (cross_job_model.py), which splits the training computation into two partitions.

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• Open sourcing GShard Step 2: XlaShardingAdaFactor

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  bignamehyp

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• Internal changes.

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Commits on Oct 9, 2020

• Adds Re-raise on the exception for other ValueError cases to avoid cryptic errors.

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  lingvo-bot

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• Internal change.

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  Jonathan Shen

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• Fix: When AUCMetric is still at the beginning, if the first batches of data only happen to have one type of labels, sklearn currently throws an exception. Handled with dummy AUC=0.0 output instead.

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  lingvo-bot

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• This CL adds writing non-scalar summaries on the first batch of the lingvo eval jobs.

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  lingvo-bot

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Commits on Oct 8, 2020

• Merge pull request #243 from leozz37/master

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