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Branch 199474340 #19816
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Branch 199474340 #19816
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PiperOrigin-RevId: 199316885
…tower mode. PiperOrigin-RevId: 199319758
PiperOrigin-RevId: 199321021
This bug seems to be specific to tf.keras, i.e., it doesn't happen to keras. PiperOrigin-RevId: 199334073
less logging. PiperOrigin-RevId: 199334548
PiperOrigin-RevId: 199335030
PiperOrigin-RevId: 199337082
PiperOrigin-RevId: 199338297
PiperOrigin-RevId: 199340127
… for TPUEstimator. PiperOrigin-RevId: 199341721
PiperOrigin-RevId: 199346067
new_cond is a new implementation of tf.cond. Instead of emitting control flow ops (i.e. Switch and Merge nodes), new_cond emits a single If op, which represents the conditional branches as TF functions. With this change, users can use new_cond and take its gradient. The idea is for new_cond to eventually replace tf.cond. There are several functional and performance gaps that must be addressed first, including: * Gradients won't work on imported graphs * Misc. limitations of TF functions (lack of collections, device scopes, etc.) PiperOrigin-RevId: 199346735
PiperOrigin-RevId: 199347316
…ult behavior. PiperOrigin-RevId: 199349592
…duction init_value. PiperOrigin-RevId: 199350818
PiperOrigin-RevId: 199351707
DistributionStrategy, since it depends on the session. Drop "job:localhost" when canonicalizing in graph mode. PiperOrigin-RevId: 199354215
PiperOrigin-RevId: 199361276
PiperOrigin-RevId: 199361402
PiperOrigin-RevId: 199362908
PiperOrigin-RevId: 199366963
PiperOrigin-RevId: 199371452
PiperOrigin-RevId: 199372205
PiperOrigin-RevId: 199373124
PiperOrigin-RevId: 199373169
PiperOrigin-RevId: 199375811
PiperOrigin-RevId: 199376731
… change the interface to be able to describe the common AllReduce semantic. PiperOrigin-RevId: 199376926
PiperOrigin-RevId: 199377753
This is useful when tuning fusion heuristics -- you expect this number to go down (even if the total runtime doesn't go down, due to suboptimal emitters). PiperOrigin-RevId: 199386923
…KSPACE. These rules currently get written by configure.py script to WORKSPACE file which is not ideal since (1) WORKSPACE file is tracked by git and (2) we require users to manually delete the rules in order to update/regenerate them. Moving these rules into an external repo that is generated based on several ENV variables set by the configure.py script. Modifying any of these ENV variables will cause the rules to be updated. PiperOrigin-RevId: 199388460
PiperOrigin-RevId: 199388675
PiperOrigin-RevId: 199395164
PiperOrigin-RevId: 199397890
PiperOrigin-RevId: 199399375
PiperOrigin-RevId: 199405764
Mostly just cosmetic refactoring to make PartitionedCallOp more readable; also registers a GPU kernel. PiperOrigin-RevId: 199433460
…this is now properly supported in the Text Format. PiperOrigin-RevId: 199450074
PiperOrigin-RevId: 199464493
PiperOrigin-RevId: 199465056
It was not explicitly stated that the predicate should return True for elements the user wants to keep. PiperOrigin-RevId: 199474340
Timeout, retrying ( |
yifeif
approved these changes
Jun 6, 2018
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