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| author | Slava Shklyaev <slavash@google.com> | 2020-08-13 13:16:03 +0100 |
|---|---|---|
| committer | Slava Shklyaev <slavash@google.com> | 2020-11-02 10:07:07 +0000 |
| commit | cbcaa00003cf5a4597460dbb5f8cb9f992e939e7 (patch) | |
| tree | fcfc08ec92b731594fc96c586e1207bccce2624d /nn/common/operations/BidirectionalSequenceLSTM.h | |
| parent | e4a030ef549d8d2c279436628c961eb3f70df7d6 (diff) | |
| download | ml-cbcaa00003cf5a4597460dbb5f8cb9f992e939e7.tar.gz | |
Migrate NNAPI runtime to canonical types
This change replaces most uses of HAL types in the codebase with
equivalent canonical types. Later changes will introduce more
refactorings.
Also removes unused files nn/runtime/test/Bridge.{h,cpp}.
Bug: 160669906
Fix: 155923931
Test: NeuralNetworksTest_static (all 7 passes)
Test: NeuralNetworksTest_operations
Test: NeuralNetworksTest_utils
Test: NeuralNetworksTest_logtag
Test: nnCache_test
Test: BlobCache_test
Change-Id: I63fa286e926a096948f1b1b172d1d562c4f52f29
Merged-In: I63fa286e926a096948f1b1b172d1d562c4f52f29
(cherry picked from commit 069993366ce59913ff162ed144749bb8794d990c)
Diffstat (limited to 'nn/common/operations/BidirectionalSequenceLSTM.h')
| -rw-r--r-- | nn/common/operations/BidirectionalSequenceLSTM.h | 9 |
1 files changed, 4 insertions, 5 deletions
diff --git a/nn/common/operations/BidirectionalSequenceLSTM.h b/nn/common/operations/BidirectionalSequenceLSTM.h index 184b65da0..7077d3b10 100644 --- a/nn/common/operations/BidirectionalSequenceLSTM.h +++ b/nn/common/operations/BidirectionalSequenceLSTM.h @@ -34,12 +34,11 @@ struct RunTimeOperandInfo; class BidirectionalSequenceLSTM { public: - BidirectionalSequenceLSTM(const hal::Operation& operation, RunTimeOperandInfo* operands); + BidirectionalSequenceLSTM(const Operation& operation, RunTimeOperandInfo* operands); - bool Prepare(const hal::Operation& operation, RunTimeOperandInfo* operands, - Shape* fwOutputShape, Shape* bwOutputShape, Shape* fwOutputActivationState, - Shape* fwOutputCellState, Shape* bwOutputActivationState, - Shape* bwOutputCellState); + bool Prepare(const Operation& operation, RunTimeOperandInfo* operands, Shape* fwOutputShape, + Shape* bwOutputShape, Shape* fwOutputActivationState, Shape* fwOutputCellState, + Shape* bwOutputActivationState, Shape* bwOutputCellState); bool Eval(); // Input Tensors of size {max_time, n_batch, n_input} |