xla
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Avoid tensors sync on fused train.
dlibenzi
committed
7 years ago
Rename a few tensor API for consistency.
dlibenzi
committed
7 years ago
Generate the XLA computations in parallel.
dlibenzi
committed
7 years ago
Smoother rate.
dlibenzi
committed
7 years ago
No need to re-check for nullptr as GetApplyOrder() already filtered out the tensors which are noth graph backed.
dlibenzi
committed
7 years ago
Allow tensors to reference data from other tensors, so that new generations of inputs and gradient can be tracked back (via the unique ID) to the same tensor kind.
dlibenzi
committed
7 years ago
Use a context to capture the ApplyPendingGraph() metadata, to allow sped up operations in case the new apply matches the one within the saved context.
dlibenzi
committed
7 years ago
Minor code refactoring for the loader wrapper batch counting.
dlibenzi
committed
7 years ago
In case of multiple tensors providing data, select the older one.
dlibenzi
committed
7 years ago
Added more counters to track parallel apply status.
dlibenzi
committed
7 years ago
Now that we route CHECKs to exceptions, care should be taken when running lambdas.
dlibenzi
committed
7 years ago
Re-format python file according to Google pyformat.
dlibenzi
committed
7 years ago
Refactor some code into a function.
dlibenzi
committed
7 years ago
Minor code refactoring.
dlibenzi
committed
7 years ago
Refactored the execute cached path.
dlibenzi
committed
7 years ago
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