- 10 10月, 2018 24 次提交
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由 Muhammad Wildan 提交于
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由 Muhammad Wildan 提交于
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由 Muhammad Wildan 提交于
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由 Muhammad Wildan 提交于
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由 A. Unique TensorFlower 提交于
PiperOrigin-RevId: 216410913
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由 A. Unique TensorFlower 提交于
PiperOrigin-RevId: 216400726
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由 Pavel Sountsov 提交于
E.g. register_kl calls would trigger such warnings. This spam was exacerbated by the fact that it happens before logging is initialized, so it is dumped prominently to STDERR. Worse yet it also happened no matter whether the user imported any symbols from tf.distributions or not as the relevant code is executed when you import TensorFlow. PiperOrigin-RevId: 216396036
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由 Brennan Saeta 提交于
PiperOrigin-RevId: 216395709
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由 Yu-Cheng Ling 提交于
PiperOrigin-RevId: 216392908
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由 A. Unique TensorFlower 提交于
PiperOrigin-RevId: 216392772
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由 Alexandre Passos 提交于
Specifically: - renames from def_function - returns an object with well-defined methods - doesn't force-retrace twice - uses the python descriptor API ( https://docs.python.org/3/howto/descriptor.html ) to remove the need for a tf.method PiperOrigin-RevId: 216388957
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由 Nupur Garg 提交于
PiperOrigin-RevId: 216386450
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由 Nupur Garg 提交于
PiperOrigin-RevId: 216385202
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由 Rohan Jain 提交于
_SUMMARY_WRITER_INIT_COLLECTION_NAME collections from the summaryV2 implementation. Replacing them with global variables. PiperOrigin-RevId: 216383152
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由 Rachel Lim 提交于
PiperOrigin-RevId: 216381943
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由 Tayo Oguntebi 提交于
PiperOrigin-RevId: 216375421
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由 A. Unique TensorFlower 提交于
PiperOrigin-RevId: 216372144
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由 Dan Moldovan 提交于
PiperOrigin-RevId: 216370439
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由 A. Unique TensorFlower 提交于
PiperOrigin-RevId: 216370329
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由 Yuefeng Zhou 提交于
PiperOrigin-RevId: 216370193
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由 A. Unique TensorFlower 提交于
Previously we pre-reserverd the visit state based on the number of instructions but then started to index it with the instruction unique ID what can be larger then the instruction count. This resulted in some very expensive re-allocations what can be eliminated by reserving the correctly sized buffer. PiperOrigin-RevId: 216369849
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由 Peter Ma 提交于
PiperOrigin-RevId: 216369081
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由 Tamara Norman 提交于
PiperOrigin-RevId: 216368178
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由 Jared Duke 提交于
PiperOrigin-RevId: 216367867
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- 09 10月, 2018 16 次提交
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由 Gunhan Gulsoy 提交于
tensorflowtestcase. PiperOrigin-RevId: 216363450
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由 Rohan Jain 提交于
Allowing for mixture of V1 and V2 feature columns usage in canned estimators. This is required for TF hub use cases where users might send in new feature columns to old model code. Implemented this support by making V2 feature columns support the V1 API. This is needed temporarily and would definitely be removed by TF 2.0, possibly earlier depending on what guarantees are provided by TF hub. The only case we don't allow here is mixing in V2 shared embedding columns with V1 Feature columns. V2 Shared FC's depend on a SharedEmbeddingState manager that would have to be passed in to the various API's and there wasn't really a very clean way to make that work. Mixing V2 feature columns with V1 shared embedding columns is fine though and along with all other combinations PiperOrigin-RevId: 216359041
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由 A. Unique TensorFlower 提交于
If the graph contains not constant array with strings it fails because the array's size can't be estimated. PiperOrigin-RevId: 216356162
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由 A. Unique TensorFlower 提交于
PiperOrigin-RevId: 216354906
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由 A. Unique TensorFlower 提交于
PiperOrigin-RevId: 216350134
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由 A. Unique TensorFlower 提交于
PiperOrigin-RevId: 216323343
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由 Adrian Kuegel 提交于
PiperOrigin-RevId: 216315110
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由 A. Unique TensorFlower 提交于
PiperOrigin-RevId: 216309111
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由 Peter Ma 提交于
Refactor CalculateOutputSize() from VirtualScheduler protected member function to utils; Refactor EstimateSize() from memory_optimizer.cc to utils; some small changes for readability improvement PiperOrigin-RevId: 216307257
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由 A. Unique TensorFlower 提交于
PiperOrigin-RevId: 216303340
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由 Reed Wanderman-Milne 提交于
PiperOrigin-RevId: 216299809
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由 Yunxing Dai 提交于
- This CL intruduces input/output alias config in HLO module that allows any HLO pass to configure it. Once the alias_config is set, each backend needs to follow the contract during execution time to make sure the input and output are indeed aliased. - Copy insertion / buffer assignment and alias analysis has been updated to correctly honor the config and avoid any possible liveness interference. PiperOrigin-RevId: 216299501
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由 A. Unique TensorFlower 提交于
call for better xprof tracing. Also annotate synchronous op execution with the session-run id (or step_id) as metadata leveraging the support introduced in cl/215985561. This should enable highlighting the duration of a Session::Run and all the ops that ran in it for visualizing latency regressions in the case of CPU inference. PiperOrigin-RevId: 216284682
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由 James Qin 提交于
PiperOrigin-RevId: 216280913
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由 Derek Murray 提交于
Previously, we were passing the first (graph-level) seed for both the graph-level and op-level seeds when creating a C++ dataset. This change passes the op-level seed to the appropriate point, and adds a test for the behavior with graph-but-not-op-level seeds. PiperOrigin-RevId: 216280641
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由 A. Unique TensorFlower 提交于
PiperOrigin-RevId: 216280197
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