Certain mutation testing -- mutateOperandLifeTimeTest and
mutateOperandInputOutputTest -- can introduce potentially very large
CONSTANT_COPY operands, which can in turn create potentially very
large Models which must be passed across binder. To avoid overflowing
the binder buffer, we estimate the size of the mutated Model, and skip
the test if that size is too high. The old logic recognizes that our
tests only have a single active binder transaction at a time, and
assumes that there are no other clients using the same service at the
same time, and so we should have the binder buffer to ourselves; to be
conservative, we reject any Model whose estimated size exceeds half
the binder buffer size. Unfortunately, sometimes the binder buffer
still overflows, because it unexpectedly contains an allocation from
some other transaction: It appears that binder buffer memory
management is not serialized with respect to transactions from our
tests, and therefore depending on scheduler behavior, there may be a
sizeable allocation still in the buffer when we attempt to pass the
large Model. To fix this problem we become even more conservative,
and instead of limiting the Model to half the binder buffer size, we
limit it to half IBinder.MAX_IPC_SIZE (the recommended transaction
size limit). To confirm that this change does not exclude too many
tests, I checked how may times the size filter function
exceedsBinderSizeLimit is called, how many times it rejects a model
under the new logic (modelsExceedHalfMaxIPCSize), and how many times
it rejects a model under the old logic (modelsExceedHalfMaxIPCSize).
Test: VtsHalNeuralnetworksV1_0TargetTest --gtest_filter=TestGenerated/ValidationTest.Test/*-*dsp*
Test: # models = 3592, modelsExceedHalfMaxIPCSize = 212, modelsExceedHalfBufferSize = 18
Test: VtsHalNeuralnetworksV1_1TargetTest --gtest_filter=TestGenerated/ValidationTest.Test/*-*dsp*
Test: # models = 7228, modelsExceedHalfMaxIPCSize = 330, modelsExceedHalfBufferSize = 28
Test: VtsHalNeuralnetworksV1_2TargetTest --gtest_filter=TestGenerated/ValidationTest.Test/*-*dsp*
Test: # models = 52072, modelsExceedHalfMaxIPCSize = 506, modelsExceedHalfBufferSize = 28
Test: VtsHalNeuralnetworksV1_3TargetTest --gtest_filter=TestGenerated/ValidationTest.Test/*-*dsp*
Test: # models = 73342, modelsExceedHalfMaxIPCSize = 568, modelsExceedHalfBufferSize = 28
Test: VtsHalNeuralnetworksTargetTest
Bug: 227719657
Bug: 227719752
Bug: 231928847
Bug: 238777741
Bug: 242271308
Change-Id: I3f81d71ca3c0ad4c639096b1dc034a8909bc8971
- Document that IPreparedModel::execute*WithConfig are for single-time
usages, and IPreparedModel::createReusableExecution is for reusable
usages.
- Make PrepareModelConfig::cacheToken a fixed sized array.
Fixes: 215566186
Test: VtsHalNeuralnetworksTargetTest
Test: NNT_static
Change-Id: I9c5a49c46a3eac2828b9eb666f3d742038493121
The following AIDL types are added:
- TokenValuePair
- PrepareModelConfig
- ExecutionConfig
The following AIDL methods are added:
- IDevice::prepareModelWithConfig
- IPreparedModel::executeSynchronouslyWithConfig
- IPreparedModel::executeFencedWithConfig
- IBurst::executeSynchronouslyWithConfig
The compilation and execution hints are being stored as a list of
token-value pairs as part of the PrepareModelConfig / ExecutionConfig.
And the PrepareModelConfig / ExecutionConfig parcelables are created in
order to make future extensions to the execution related interfaces
easier.
It is the drivers responsibility to verify the hints, and it is allowed
for the driver to ignore them.
Bug: 203248587
Test: neuralnetworks_utils_hal_aidl_test
Change-Id: I98240fd75089fc85cdfcaa0be28aab8a6f0dfca5
Merged-In: I98240fd75089fc85cdfcaa0be28aab8a6f0dfca5
(cherry picked from commit 0e671f3edb)
Also skip FL6 (AIDL_V2) tests for older AIDL drivers.
Cherrypicked from I689fef0945428f6548977628e3c43628dd1e5bf7
Bug: 206089870
Test: VtsHalNeuralnetworksTargetTest
Specifically, for old driver such as AIDL_V1 sample driver, it can pass
HIDL tests and skip AIDL_V2 tests. For new driver such as AIDL_V2
sample driver, it can pass all tests.
Change-Id: I689fef0945428f6548977628e3c43628dd1e5bf7
Also skip FL6 (AIDL_V2) tests for older AIDL drivers.
Bug: 203038813
Test: VtsHalNeuralnetworksTargetTest
Specifically, for old driver such as AIDL_V1 sample driver, it can pass
HIDL tests and skip AIDL_V2 tests. For new driver such as AIDL_V2
sample driver, it can pass all tests.
Change-Id: I689fef0945428f6548977628e3c43628dd1e5bf7
This CL removes hal::utils::countNumberOfConsumers and uses the existing
nn::countNumberOfConsumers.
This change is part of a larger chain of changes to remove HIDL and AIDL
libraries from neuralnetworks_utils_hal_common.
Bug: N/A
Test: mma
Change-Id: I7d06ea355eae7aa80b94b09a23d606bbb2322120
This CL fixes the compiler errors that arose of changing the Memory
representation of the NN AIDL HAL, and updates the conversion and
utility code to work with the new Memory type.
This change also makes libaidlcommonsupport available to apex modules at
min sdk level 29.
Bug: 183118727
Test: mma
Test: VtsHalNeuralnetworksTargetTest
Change-Id: Ief565473b4d82e0bb43785fc3b8275b16bd26cf6
Merged-In: Ief565473b4d82e0bb43785fc3b8275b16bd26cf6
(cherry picked from commit b0fcb3927d)
This CL fixes the compiler errors that arose of changing the Memory
representation of the NN AIDL HAL, and updates the conversion and
utility code to work with the new Memory type.
This change also makes libaidlcommonsupport available to apex modules at
min sdk level 29.
Bug: 183118727
Test: mma
Test: VtsHalNeuralnetworksTargetTest
Change-Id: Ief565473b4d82e0bb43785fc3b8275b16bd26cf6
Merged-In: Ief565473b4d82e0bb43785fc3b8275b16bd26cf6
(cherry picked from commit b0fcb3927d)
Previously, countNumberOfConsumers would trigger a CHECK if the input
was invalid. This CL makes countNumberOfConsumers gracefully fail on
errors, instead returning the error through the GeneralResult.
Bug: N/A
Test: mma
Change-Id: Iee54f87768e52fdf701c22d94083c053b881733d
Merged-In: Iee54f87768e52fdf701c22d94083c053b881733d
(cherry picked from commit c4d98007fd)
The tests are copied from HIDL 1.0-3 VTS tests and updated to use AIDL.
Bug: 172922059
Test: VtsHalNeuralnetworksTargetTest
Change-Id: Ife08409e9b46420685a1ccb0b3256286c973dbf5
Merged-In: Ife08409e9b46420685a1ccb0b3256286c973dbf5
(cherry picked from commit b38bb4f12a)
