These are available to com.android.neuralnetworks via the baseline
apexAvailable map in build/soong/apex/apex.go. This CL makes this
explicit in Android.bp
Test: m nothing #passes
Bug: 281077552
Change-Id: I9f08db0dba6b155c6f25393a5d4baf6de27110da
This CL adds the following additional bounds checks:
* Adds additional checks of the index of the std::vector before
accessing the element at the index
* Changes the array index operator [] to the checked std::vector::at
method
Bug: 256589724
Test: mma
Merged-In: I6bfb02a5cd76258284cc4d797a4508b21e672c4b
Change-Id: I6bfb02a5cd76258284cc4d797a4508b21e672c4b
(cherry picked from commit 9b17e6485b)
Merged-In: I6bfb02a5cd76258284cc4d797a4508b21e672c4b
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
A sibling change removes the NN HIDL sample drivers from cuttlefish. In
response, this change removes the VtsHalNeuralnetworksV1_*TargetTest
tests from the TEST_MAPPING because they do not test anything without
the NN HIDL sample drivers present.
Note that the NN AIDL sample drivers and NN AIDL VTS test
(VtsHalNeuralnetworksTargetTest) are still present.
Bug: 233665601
Test: mma
Test: croot && cd hardware/interfaces/neuralnetworks && atest
Change-Id: I90bccd843ba9296c27d3010cec652be55a13a225
uniform_int_distribution<a> for types sizeof(a) < 2 are
not valid by the C++ library standard. Newer versions of LLVM
(particularly spurred on by ChromeOS toolchain changes)
require at least std::uniform_int_distribution<uint16_t>.
This is a required change for rolling LLVM to r458507.
This is necessary, but may not be sufficient to resolve
the issue.
Bug: 231351802
Test: mma
Change-Id: I04c3cc91507f3467c432b9a25effdac3f5fb56f3
NNAPI NN_TRY macros use Statement Expressions (a GNU extension) to
propagate errors. However, a "return" statement in a Statement
Expression can lead to memory leaks when the Statement Expression is
being used to initialize a member of a struct. Specifically, when one
member of a struct is already initialized, and a Statement Expression
used to initialize a subsequent member early-returns, the previously
initialized members will not have their destructors called.
This CL moves any NN_TRY macro out of struct initialization to avoid any
potential memory leaks.
Bug: 230500484
Test: mma
Test: presubmit
Change-Id: I3493fd4764f8eacc86750e6414e62bc891abaccd
Merged-In: I3493fd4764f8eacc86750e6414e62bc891abaccd
NNAPI NN_TRY macros use Statement Expressions (a GNU extension) to
propagate errors. However, a "return" statement in a Statement
Expression can lead to memory leaks when the Statement Expression is
being used to initialize a member of a struct. Specifically, when one member of a struct is already initialized, and a Statement Expression used to initialize a subsequent member early-returns, the previously initialized members will not have their destructors called.
This CL moves any NN_TRY macro out of struct initialization to avoid any
potential memory leaks.
Bug: 230500484
Test: mma
Test: presubmit
Change-Id: I3493fd4764f8eacc86750e6414e62bc891abaccd
These defines are redundant because they are already defined in
neuralnetworks_utils_defaults.
Bug: N/A
Test: mma
Change-Id: I1c5c44e9e61da19bc10dd8ed2e38099f7c4baccd
* Timed out runs do not show any warning messages.
* These test files cannot finish clang-tidy runs with
the following settings:
TIDY_TIMEOUT=90
WITH_TIDY=1
CLANG_ANALYZER_CHECKS=1
* When TIDY_TIMEOUT is set, in Android continuous builds,
tidy_timeout_srcs files will not be compiled by clang-tidy.
When developers build locally without TIDY_TIMEOUT,
tidy_timeout_srcs files will be compiled.
* Some of these test modules may be split into smaller ones,
or disable some time consuming checks, and then
enable clang-tidy to run within limited time.
Bug: 201099167
Test: make droid tidy-hardware-interfaces_subset
Change-Id: I1de28f1572fff368f67eab512fffec9f2e5c2a9b
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)
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 change deletes all existing OWNERS files under
hardware/interfaces/neuralnetworks and creates a new OWNERS file with
the current NNAPI team members.
This change also updates the NNAPI project path in
hardware/interfaces/neuralnetworks/README.
Bug: 179510251
Test: N/A
Change-Id: Iaca69505c8449ae7d93be0db99205f5f56556e86
This change is part of an effort to remove HAL types from
libneuralnetworks_common*. This change:
* Updates the header guard names for the new directory
* Removes the "Aidl" prefix from the files
* Adds temporary "Aidl" header files under include/ that redirect to
their corresponding files in include/nnapi/hal/aidl/
* Changes references of libneuralnetworks_common_hidl to
libneuralnetworks_common
Bug: 191442336
Test: mma
Change-Id: Icbcc04e0a49a9adf8d8826fd5735028ea26de0ca
This change:
* Renames ExecutionBurstController to Burst in 1.2/utils
* Renames ExecutionBurstUtils to BurstUtils in 1.2/utils
* Renames ExecutionBurstServer to Burst in common/adapter
Bug: N/A
Test: mma
Change-Id: Ibd460229887c8c9cd23ebc6ee61da37c7c820288
Reason for revert: rollforward fix of this topic
This change is a revert of I3d3ac4745, which itself is a revert of
I74f1798e8.
This CL modifies the AIDL utils libraries to be explicitly
versioned. Currently, we only have two versions: v1 and "current".
Specifically, the following changes are made:
- Remove AIDL dependencies from neuralnetworks_utils_hal_common
- Create explicitly versioned libs of neuralnetworks_utils_hal_aidl*
This is needed because it is not allowed for a build target to
link against multiple versions of the same AIDL lirary.
The canonical driver will report ANDROID_S for AIDL v1, and FL6 for v2.
Reverted Changes:
I2aefa0023:Revert "Use explicitly versioned NNAPI HAL util li...
Ia7df07ab9:Revert "Add neuralnetworks_utils_hal_aidl_v2 to al...
Iadd823460:Revert "Provide explicitly version NNAPI AIDL util...
I3d3ac4745:Revert "Provide explicitly versioned NNAPI AIDL ut...
Bug: 202405342
Test: NNT_static
Test: CtsNNAPITestCases
Test: VtsHalNeuralnetworksTargetTest
Change-Id: Ib3b732aa406f6d37e8f941082807c9232720c909
Merged-In: Ib3b732aa406f6d37e8f941082807c9232720c909
(cherry picked from commit 478a78ea77)
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: Iae9f692ffc72700294aae694c256e75c7e353fef
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: Ib43f1cb683a09ae5c9116a6dea4d269c9c2c78b4
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: I9d4f0c30932fad7ccb6231aa03e57f7227af4880
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 change allows GeneralErrors to be created from a string and allows
ExecutionErrors to be created from a string or a GeneralError.
This makes error handling more terse, removing the need for helper
functions such as makeGeneralFailure or makeExecutionFailure.
Bug: N/A
Test: mma
Change-Id: I8c5e80a2eb4f399fad64aab763fe6fa08cf8d1db
Unhandled HIDL errors result in a crash. This CL handles any errors from
IBurstContext::freeMemory by logging the error and continuing with the
rest of the function.
Bug: N/A
Test: mma
Change-Id: Ic433a627137df4d275a1b0d2d800d592afc1a18c
Each VTS module is required to have OWNERS file. The ownership is based on
go/vts-owners. For more information about ownership policy, please visit
go/xts-owners-policy.
Test: Tree Hugger
Bug: 143903671
Change-Id: Id49d1630f193617521d089e0b0b2f5ce180467b6
This change adds the AndroidTest.xml flag --gtest_break_on_failure to
cause the gtest to terminate after an error has been reached. This early
termination is important in the case where an NN HAL service crashes
mid-test, and all remaining tests would otherwise continue to run.
Bug: 197035200
Test: m vts -j
Test: vts-tradefed
Change-Id: I0b9a14345475e432b93f92c23010a8b39712443a
Merged-In: I0b9a14345475e432b93f92c23010a8b39712443a
(cherry picked from commit ac45a5d77e)
This change adds the AndroidTest.xml flag --gtest_break_on_failure to
cause the gtest to terminate after an error has been reached. This early
termination is important in the case where an NN HAL service crashes
mid-test, and all remaining tests would otherwise continue to run.
Bug: 197035200
Test: m vts -j
Test: vts-tradefed
Change-Id: I0b9a14345475e432b93f92c23010a8b39712443a
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)
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
This is a revert of I6f657743, which is a revert of I1d7c66516.
Changing static libraries in hardware/interfaces/neuralnetworks to be
"host supported", meaning that the libraries within this directory
will be available on the host/linux build to make integration and
debugging more efficient.
Host Supported Libs:
* neuralnetworks_utils_hal_1_0
* neuralnetworks_utils_hal_1_1
* neuralnetworks_utils_hal_1_2
* neuralnetworks_utils_hal_1_3
* neuralnetworks_utils_hal_aidl
* neuralnetworks_utils_hal_common
Host Supported Tests:
* neuralnetworks_utils_hal_1_0_test
* neuralnetworks_utils_hal_1_1_test
* neuralnetworks_utils_hal_1_2_test
* neuralnetworks_utils_hal_1_3_test
* neuralnetworks_utils_hal_aidl_test
* neuralnetworks_utils_hal_common_test
Bug: 146324523
Test: neuralnetworks_utils_hal_*_test
Change-Id: I6c3cc00cd1ceefe4ae4ca5e40a8f3062d3251ff1
Changing static libraries in hardware/interfaces/neuralnetworks to be
"host supported", meaning that the libraries within this directory
will be available on the host/linux build to make integration and
debugging more efficient.
Host Supported Libs:
* neuralnetworks_utils_hal_1_0
* neuralnetworks_utils_hal_1_1
* neuralnetworks_utils_hal_1_2
* neuralnetworks_utils_hal_1_3
* neuralnetworks_utils_hal_aidl
* neuralnetworks_utils_hal_common
Host Supported Tests:
* neuralnetworks_utils_hal_1_0_test
* neuralnetworks_utils_hal_1_1_test
* neuralnetworks_utils_hal_1_2_test
* neuralnetworks_utils_hal_1_3_test
* neuralnetworks_utils_hal_aidl_test
* neuralnetworks_utils_hal_common_test
Bug: 146324523
Test: neuralnetworks_utils_hal_*_test
Change-Id: I1d7c665169d2ce0c978b1e510e71f1371402a950
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
Merged-In: I22591640fa047d5f75d437edac1a7645d3b05526
(cherry picked from commit 8bfa243972)
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
Merged-In: Iaac81668d247c2cb76d70e6abbd10f00b397b19f
(cherry picked from commit ead6d37ae9)
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
Merged-In: I91790bb5ccf5ae648687fe603f88ffda2c9fd2b2
(cherry picked from commit 727a7b2104)
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
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)
