| Age | Commit message (Collapse) | Author |
|---|
|
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
|
|
Prior to this change, version constants (e.g., Version::ANDROID_S) were
public static constants to make the version constants look as if they
were enum values. However, this method prevented versions from being
constexpr, because the Version type was incomplete by that point in
time. This change moves these version constants outside of the Version
struct, and makes them constexpr. They have the new names:
* Version::ANDROID_OC_MR1 -> kVersionFeatureLevel1
* Version::ANDROID_P -> kVersionFeatureLevel2
* Version::ANDROID_Q -> kVersionFeatureLevel3
* Version::ANDROID_R -> kVersionFeatureLevel4
* Version::ANDROID_S -> kVersionFeatureLevel5
* Version::FEATURE_LEVEL_6 -> kVersionFeatureLevel6
* Version::EXPERIMENTAL -> kVersionFeatureLevelExperimental
Bug: 206975939
Test: mma
Change-Id: Ibf5f2fdb1459a69c51865aa5fdcd0cb0c3a88ade
|
|
Prior to this topic, NNAPI Versions were linear and represented by an
enumeration. However, this did not properly account for the
non-linearity of runtime-specific features such as a control flow
operations with operands of dynamic sizes. This topic alters Version to
be a struct containing a feature level enumeration as well as a boolean
which indicates whether there are runtime-specific features.
Bug: 206975939
Test: mma
Test: NeuralNetworksTests_static
Change-Id: I78c54ef597bf269b137f2835332bdedac49883d4
|
|
This CL introduces unit tests to validate the V1_X::utils::Device,
*PreparedModel, and *Buffer adapter classes. It does so by mocking the
underlying HIDL interface in order to simulate a driver returning bad
data, HIDL transport failures, and service crashes.
Note that the purpose of these new tests is to validate the adapter
classes themselves, not the HIDL interfaces they use. For example,
because nn::IPreparedModel does not currently define a method for
configuring a burst execution, V1_[23]::utils::PreparedModel similarly
does not use hardware::neuralnetworks::V1_[23]::IPreparedModel's
configureExecutionBurst method.
This CL also introduces unit tests to validate the utils::Resilient*
adapter classes, and mocks DEAD_OBJECT failures to ensure that the
underyling object can be recovered appropriately.
Bug: 163801800
Test: mma
Test: atest neuralnetworks_utils_hal_common_test
Test: atest neuralnetworks_utils_hal_1_[0-3]_test
Change-Id: I2c79865bf666d3f4bf53061ff5090746403583e9
Merged-In: I2c79865bf666d3f4bf53061ff5090746403583e9
(cherry picked from commit afc4d7cfe753669b08562eba8f58cbceefed334f)
|
