This CL adds a check during SetUp that an NNAPI driver service is still
alive by pinging the driver service. If it is not alive, the test will
fail during SetUp. Without this quick-fail, the test case would continue
as if the driver were still active, which would result in multiple
EXPECT_* and ASSERT_* statements failing instead of a single, clear
failure message.
Bug: 197035200
Test: mma
Test: presubmit: VtsHalNeuralnetworks*TargetTest
Change-Id: Ib1b75ed20f764055699590581d5ad4e5aff4baae
Merged-In: Ib1b75ed20f764055699590581d5ad4e5aff4baae
(cherry picked from commit 9c3c8642fb)
Data and model numbers were switched in the AIDL implementation of
canonical Device.
Bug: 190757709
Test: neuralnetworks_utils_hal_aidl_test
Change-Id: I0d95b2d436994ffc877a4e02eb31f449b983e61e
This CL modifies the AIDL generated tests to use readonly memory pool
for request inputs.
Bug: 188104713
Test: VtsHalNeuralnetworksTargetTest
Change-Id: I9e62f1cdeb501bf29bcb9c56317a452c9105b272
This CL modifies the shared memory allocation for pointer arguments to
use proper alignment and padding. We use default alignment (64) and
min padding (1) for HIDL drivers, and default alignment (64) and default
padding (64) for sAIDL drivers.
Bug: 184164929
Test: NNT_static
Change-Id: I22591640fa047d5f75d437edac1a7645d3b05526
This CL modifies the canonical interface for reusable burst executions:
- Add new method IBurst::createExecution
The reusable burst execution will not fallback to another execution path
if sending request packet fails. The behavior of single-time burst
execution remains unchanged.
Additionally, this CL enables pointer -> shared memory conversion in
1.2/1.3 burst implementation.
Bug: 184073769
Test: NNT_static
Test: neuralnetworks_utils_hal_1_0_test
Test: neuralnetworks_utils_hal_1_1_test
Test: neuralnetworks_utils_hal_1_2_test
Test: neuralnetworks_utils_hal_1_3_test
Test: neuralnetworks_utils_hal_common_test
Change-Id: Iaac81668d247c2cb76d70e6abbd10f00b397b19f
This CL modifies the canonical interface for reusable executions:
- Add new interface: IExecution with compute and computeFenced methods
- Add new method IPreparedModel::createExecution
In NNAPI runtime, the new interface IExecution is used to
memoize request-specific execution resources (e.g. converted HAL
request). The expected usage is that, IPreparedModel::createExecution
will be invoked in the first computation of a reusable NDK ANNExecution
object, and IExecution::compute* will be invoked repeatedly.
The IPreparedModel::execute* methods are preserved to avoid redundant
object creation and memoization overhead for a single-time
(non-reusable) execution.
For a vendor implementing the canonical interfaces, only the
IPreparedModel::execute* methods will be called because there is
currently no reusable execution at HAL interface. A DefaultExecution
implementation is provided to reduce the work needed on the vendor side.
Bug: 184073769
Test: NNT_static
Test: neuralnetworks_utils_hal_1_0_test
Test: neuralnetworks_utils_hal_1_1_test
Test: neuralnetworks_utils_hal_1_2_test
Test: neuralnetworks_utils_hal_1_3_test
Test: neuralnetworks_utils_hal_common_test
Test: neuralnetworks_utils_hal_aidl_test
Change-Id: I91790bb5ccf5ae648687fe603f88ffda2c9fd2b2
This CL alters the AIDL utility "getDevices" to return whether or not a
service is updatable. This CL additional removes IDevice::isUpdatable
because it is now redundant with the changes to "getDevices".
Bug: 170696350
Test: mma
Test: NeuralNetworksTest_static
Change-Id: I86228763937c0dd2ee5b1d9d547c367cd7504ed4
The change adds "Ns" suffix to timeOnDevice, timeInDriver,
loopTimeoutDuration, deadline and duration.
Fix: 183118329
Test: mm
Change-Id: I4afe34f27fc8717ac28c8fa09edda9918641c39a
Merged-In: Id1f9ee4b8e41873c97690bb19a5e84572dd9ccf1
The change adds "Ns" suffix to timeOnDevice, timeInDriver,
loopTimeoutDuration, deadline and duration.
Fix: 183118329
Test: mm
Change-Id: Id1f9ee4b8e41873c97690bb19a5e84572dd9ccf1
This CL enables VtsHalNeuralnetworksTargetTest to use lazy services by
changing from AServiceManager_getService (which will return nullptr for
the service if the service is not able to be loaded within a short
amount of time) to AServiceManager_waitForService (which will wait for a
longer time, allowing lazy services to start up).
Similarly, the utility code is changed from using
AServiceManager_getService to AServiceManager_waitForService where
possible.
This CL also introduces an "InvalidDevice" utility class to the
nnapi/hal/aidl utility code. InvalidDevices are minimal devices that
support no functionality but are still able to pass VTS tests.
Bug: 170696939
Test: mma
Test: VtsHalNeuralnetworksTargetTest
Change-Id: I4f806b104ef6af863ec55c2c3f2a2dd1f72b9633
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)
Prior to this change, the NN AIDL HAL created a Memory struct analogous
to hidl_memory, consisting of a name, size, and native handle. However,
this Memory struct is not very structured, and requires both the client
and server to agree on how the data should be interpreted.
This CL tightens the structure of the Memory representation by
introducing Ashmem and MappableFile structs to android.hardware.common
in order to hold specific file descriptors representing memory regions.
Further, this CL redefines android.hardwre.neuralnetworks's Memory
object as a union of the Ashmem, MappableFile, and (existing)
HardwareBuffer memory types.
This change also adds "com.android.neuralnetworks" to the graphics
AIDL HAL's apex_available build rule.
Bug: 183118727
Test: mma
Change-Id: I32322df676b83597c9e95f13662c322a6a80accc
Merged-In: I32322df676b83597c9e95f13662c322a6a80accc
(cherry picked from commit 1158c80ff6)
Previously, the NNAPI used std::chrono::steady_clock to represent and
measure timings. However, steady_clock does not count while the system
is suspended. Instead, boot_clock is monotonic like steady_clock but
does include the time when the system is suspended.
This change also indicates that services may convert from
std::chrono::steady_clock::time_point to
android::base::boot_clock::time_point in the HIDL 1.3 NN HAL.
Bug: 183118340
Test: mma
Test: VtsHalNeuralnetworksV1_3TargetTest
Test: VtsHalNeuralnetworksTargetTest
Test: presubmit
Change-Id: I5a7d039a31d9ce98602a301387ec99635f279f42
Merged-In: I5a7d039a31d9ce98602a301387ec99635f279f42
(cherry picked from commit b8cf54cf5a)
Adds deadline and loopTimeoutDuration to nn::IBurst::execute.
This CL additionally adds a test case for
IPreparedModel::configureExecutionBurst and adds the suffix "_H" to
the header guards that were missing "_H".
Bug: 180492058
Bug: 177267324
Test: mma
Test: NeuralNetworksTest_static
Change-Id: Ic9ba2fb9b4dee4e40d99ae91bb9555a58d0508d2
Merged-In: Ic9ba2fb9b4dee4e40d99ae91bb9555a58d0508d2
(cherry picked from commit bbbdb0d5f1)
"Frenquency" often refers to the number of occurrences over a period of
time, while "probability" refers to the number of occurrences of one
event over the number of occurrences of all events. "Probability" is a
better name for this field.
Fixes: 183117895
Test: VtsHalNeuralnetworksTargetTest
Test: NNT_static
Change-Id: Ic86f73b8be2aed567ae4ca17bdb3a57c658fb349
Merged-In: Ic86f73b8be2aed567ae4ca17bdb3a57c658fb349
(cherry picked from commit 46bf892f46)
Burst executions are a sequence of executions of the same prepared model
that occur in rapid succession, such as frames of a camera capture or
successive audio samples. A burst object is used to control a set of
burst executions, and to preserve resources between executions, enabling
executions to have lower overhead.
This CL has the following changes:
1) Adds an IBurst interface to the NN AIDL HAL
2) Adds IPreparedModel::configureExecutionBurst to create an IBurst
object
3) Extends VTS's InvalidPreparedModel to implement
configureExecutionBurst.
Bug: 180492058
Bug: 177267324
Test: mma
Test: VTS+presubmit
Change-Id: I90cb18dcc392f07f342604a7fb2edae041848251
Merged-In: I90cb18dcc392f07f342604a7fb2edae041848251
(cherry picked from commit 5dc72d5485)
There were some comment changes made to tha auto-generated AIDL files.
Bug: N/A
Test: mma
Change-Id: I1a360115b82b0c222666c5d9189a220e74390654
Merged-In: I1a360115b82b0c222666c5d9189a220e74390654
(cherry picked from commit 402497e049)
This CL documents the default value of the preferred alignment and
padding for request memories.
Bug: 179799921
Test: m
Change-Id: I89c16c3e20939a0ad68d9e3b0061c4a16dc00d8b
Merged-In: I89c16c3e20939a0ad68d9e3b0061c4a16dc00d8b
(cherry picked from commit e6dcc9a38d)
This CL changes the sAIDL interface to enable passing padding
information of the shared memory pool to the driver.
The sAIDL interface defines the padding field explicitly in DataLocation
to make it easy to convert to/from the canonical request.
Bug: 179691454
Test: NNT_static
Test: VtsHalNeuralnetworksTargetTest
Change-Id: Ie13b421531ee4df48822086b027d94a622a3518c
Merged-In: Ie13b421531ee4df48822086b027d94a622a3518c
(cherry picked from commit 6365ea1dbb)
Refactored "out @nullable ParacelFileDescriptor" into
FencedExecutionResult. It works well with NDK backend, but not with Java
backend. To avoid future incompatibility, AIDL compiler will forbid "out
ParcelFileDescriptor".
This change moves the out parameter to its own parcelable type,
FencedExecutionResult, along with IFencedExecutionCallback.
Bug: 181194872
Test: atest --test-mapping packages/modules/NeuralNetworks
Change-Id: I8e628a7b96d81338fbe59ce8c0b849f98c00536c
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)
Prior to this CL, the canonical memory type only held a SharedHandle,
which mirrors the behavior of native_handle_t/hidl_handle. This means
memory types including AHardwareBuffer were stored as this SharedHandle
type. With this CL, the canonical memory type is stored directly as
AHardwareBuffer to avoid using non-NDK AHardwareBuffer calls in the NN
runtime.
Bug: 179906132
Test: mma
Test: NeuralNetworksTest_static
Test: presubmit
Change-Id: I394071c193d15ac0c90ac47e5a2a9a79c635db6c
Merged-In: I394071c193d15ac0c90ac47e5a2a9a79c635db6c
(cherry picked from commit bbe43d950e)
The change also updates the generated files using more up-to-date
version of the aidl code generator. This adds copyright notice to the
generated files.
Bug: 180101047
Test: no presubmit hooks erros
Change-Id: I8535eee96078eda3fadcea130f123a9bdbf1edec
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)
