..
graph_properties_testdata
Create BUILD files and corresponding targets for tensorflow/core/grappler/costs/graph_properties_testdata/BUILD.
2020-11-20 14:46:28 -08:00
analytical_cost_estimator_test.cc
Added Softmax to the estimator.
2020-08-07 15:34:38 -07:00
analytical_cost_estimator.cc
Add memory usage details to the cost graph.
2019-08-22 16:02:54 -07:00
analytical_cost_estimator.h
Get rid of a number of gratuitous graph copies in Grappler code.
2019-05-21 20:31:17 -07:00
BUILD
Refactor op level cost estimator -- cost functions report raw data (e.g., num ops, num bytes, not time), and then PredictCosts() translates it to time (in Costs).
2020-12-07 10:27:08 -08:00
cost_estimator_test.cc
Refactoring for internal use.
2019-03-12 12:23:38 -07:00
cost_estimator.cc
Refactoring for internal use.
2019-03-12 12:23:38 -07:00
cost_estimator.h
Add support for AddV2, Assign[|Add|Sub]VariableOp for Op Level cost estimator.
2020-01-31 09:30:46 -08:00
graph_memory_test.cc
[Grappler] Allow feeding non-zero index tensors to Grappler optimizer
2020-04-27 11:45:41 -07:00
graph_memory.cc
Merge pull request #40496 from tg-at-google:sign-compare-warning-fixes-batch-2
2020-06-17 11:22:40 -07:00
graph_memory.h
Get rid of a number of gratuitous graph copies in Grappler code.
2019-05-21 20:31:17 -07:00
graph_properties_test.cc
Use kUnknownDimFromConst for output_tensors_as_shapes for Pack op.
2021-01-11 10:29:03 -08:00
graph_properties.cc
Add more debugging capabilities to static / symbolic shape inference in Grappler.
2021-01-13 10:59:06 -08:00
graph_properties.h
[Grappler] Micro optimizations:
2020-04-02 10:36:54 -07:00
measuring_cost_estimator.cc
Replace PredictCosts() with PredictCostsAndReturnRunMetadata().
2019-01-14 11:54:38 -08:00
measuring_cost_estimator.h
Replace PredictCosts() with PredictCostsAndReturnRunMetadata().
2019-01-14 11:54:38 -08:00
op_context.h
Qualify uses of std::string
2020-07-08 08:56:15 -07:00
op_level_cost_estimator_test.cc
Refactor op level cost estimator -- cost functions report raw data (e.g., num ops, num bytes, not time), and then PredictCosts() translates it to time (in Costs).
2020-12-07 10:27:08 -08:00
op_level_cost_estimator.cc
Refactor op level cost estimator -- cost functions report raw data (e.g., num ops, num bytes, not time), and then PredictCosts() translates it to time (in Costs).
2020-12-07 10:27:08 -08:00
op_level_cost_estimator.h
Add const to helper methods in grappler::NodeCosts.
2020-12-15 11:27:33 -08:00
op_performance_data.proto
Move session info into op info.
2018-03-13 12:38:37 -07:00
robust_stats_test.cc
Internal change.
2017-05-03 15:38:21 -07:00
robust_stats.cc
robust_stats.h
Misc. cleanup in grappler.
2019-07-02 18:33:09 -07:00
utils_test.cc
utils.cc
Fix 64-bit integer portability problems in TensorFlow grappler.
2020-01-23 12:27:19 -08:00
utils.h
Remove AnalyticalCostEstimator from tf-sim
2019-12-19 14:28:12 -08:00
virtual_placer_test.cc
update VirtualPlacer constructor interface.
2019-03-28 23:12:01 -07:00
virtual_placer.cc
Use absl instead of deprecated str_util
2019-05-21 08:10:10 -07:00
virtual_placer.h
Misc. cleanup in grappler.
2019-07-02 18:33:09 -07:00
virtual_scheduler_test.cc
Control dependency flowing between devices should have a higher priority virtual channel than data flows, otherwise there is a risk of control transfer getting stuck behind a large data transfer. Current channel device implementation is simple, it doesn't model such prioritization.
2021-01-13 21:42:07 -08:00
virtual_scheduler.cc
Control dependency flowing between devices should have a higher priority virtual channel than data flows, otherwise there is a risk of control transfer getting stuck behind a large data transfer. Current channel device implementation is simple, it doesn't model such prioritization.
2021-01-13 21:42:07 -08:00
virtual_scheduler.h
Get rid of waiting_queue from HeapReadyManager. Instead store a cached value that can be returned by GetCurrNode(), if called again.
2021-01-11 18:42:07 -08:00
58af37eca4