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
- Add BATCH_MATMUL operation
- Support TENSOR_INT32 for RESHAPE operation.
Also update "current" version snapshot and use
android.hardware.neuralnetworks-V2-ndk since AIDL v1 has been frozen.
Bug: 193012662
Bug: 200281183
Test: mm
Change-Id: Iabe45c57e2306d61055f711eda03b80b9cbe906d
Merged-In: Iabe45c57e2306d61055f711eda03b80b9cbe906d
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
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
The ndk_platform backend will soon be deprecated because the ndk backend
can serve the same purpose. This is to eliminate the confusion about
having two variants (ndk and ndk_platform) for the same 'ndk' backend.
Bug: 161456198
Test: m
Change-Id: Ibe8beeaf0d1b33968fb782f1f70c17ae9e9bf871
Prior to this CL, the NNAPI represented SharedHandle as a collection of
file descriptors and a vector of ints to act as metadata. This struct
mirrored Android's native_handle_t. However, the NNAPI only uses
SharedHandle to hold a single file descriptor to hold a single cache
file.
A sibling CL simplifies the SharedHandle by changing it to be a single
ref-counted file descriptor. This CL makes changes to the HAL utility
code in response to the SharedHandle change.
Bug: N/A
Test: mma
Test: NeuralNetworksTest_static
Change-Id: Ib390ad76bcdadffd85f8c2c502189aaa7da483e4
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 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
Use __ANDROID_API_FUTURE__ until the S version is finalized.
Bug: 183657864
Test: Build & flashed CF, run TFLite benchmark util
Change-Id: I1352aa33866487f955136c6fb8e4d0d279225f13
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)
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)
Added SPDX-license-identifier-Apache-2.0 to:
neuralnetworks/utils/adapter/Android.bp
security/keymint/aidl/vts/performance/Android.bp
Bug: 68860345
Bug: 151177513
Bug: 151953481
Test: m all
Exempt-From-Owner-Approval: janitorial work
Change-Id: I139497d894d893a405d9b16df5e23b69dc82674f
This CL creates Device, PreparedModel, and Buffer classes which adapt a
canonical interface to a NN 1.3 HIDL interface.
Bug: 160668438
Test: mma
Change-Id: Ifee27858efd280307a299b3fe2e1a4bd9240e9de
Merged-In: Ifee27858efd280307a299b3fe2e1a4bd9240e9de
(cherry picked from commit 323dd0c2dc)
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)
This CL adds a simple implementation of IBurst that dispatches calls to
an IPreparedModel object and changes
IPreparedModel::configureExecutionBurst to return this new object
(instead of returning an error).
This CL additionally defines an InvalidBurst class that returns errors
whenever it is used and a ResilientBurst class to recover an IBurst
object when it has died.
Bug: 177267324
Test: mma
Change-Id: I4c7e7ff4e6559aeb5e62c4fa02f2e751fef9d87d
Merged-In: I4c7e7ff4e6559aeb5e62c4fa02f2e751fef9d87d
(cherry picked from commit 44f324fb0d)
A sibling change to this change introduces a canonical IBurst object and
a new method IPreparedModel::configureExecutionBurst. This CL performs
minimal changes to the NN hal utility code to make the code still
compile.
Bug: 177267324
Test: mma
Change-Id: I076067289dde7def5622a6cb25233619f80efa41
Merged-In: I076067289dde7def5622a6cb25233619f80efa41
(cherry picked from commit b6a7ed5d5f)
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 afc4d7cfe7)
Prior to this CL, ResilientPreparedModel and ResilientBuffer were
passthrough interfaces that just forwarded calls to the underlying
interface object. This CL implements the full recovery mechanism for
these two classes. However, because we do not want to enable this
functionality in the NN runtime yet, ResilientDevice hides the paths
that create ResilientPreparedModel and ResilientBuffer behind an #if
until we want to enable those paths.
Bug: N/A
Test: mma
Change-Id: Idfe8093c63c7ba2f16c995eec872d150696e7a08
Merged-In: Idfe8093c63c7ba2f16c995eec872d150696e7a08
(cherry picked from commit 667dc2dcac)
This change removes the 'blocking' parameter for the
ResilientPreparedModel::Factory and ResilientBuffer::Factory. The
'blocking' parameter is only useful for ResilientDevice::Factory, which
behind the scenes chooses between the HIDL calls IDevice::getService and
IDevice::tryGetService. The equivalent calls for IPreparedModel and
IBuffer are not used, as both are created from the IDevice object.
This change also modifies the ResilientDevice's device recovery
behavior. Prior to this change, ResilientDevice's recovery mechanism had
the following behavior:
* attempt to call a function
* if the function did not return a DEAD_OBJECT error, return
* if the function returned a DEAD_OBJECT error, attempt to recover the
device
* whether or not the recovery succeeded, call the function again
This CL changes the behavior so that if device recovery fails,
ResilientDevice will not call the function the second time.
Bug: N/A
Test: mma
Change-Id: Icf37d05c884c740178324fcd046ea56914ef7d44
Merged-In: Icf37d05c884c740178324fcd046ea56914ef7d44
(cherry picked from commit 11761e37a8)
This CL introduces a new templated class CallbackValue to handle HIDL
"return value" callbacks in a terser and more readable way.
This CL also introduces a new macro HANDLE_HAL_STATUS to return from the
current function when an error is present with the ability to append a
more descriptive error message.
Finally, this CL changes the behavior of synchronous executions. Prior
to this CL, IPreparedModel fell back to an asynchronous execution if the
synchronous execution was allowed and failed. This change instead
returns a failure if synchronous execution is allowed and fails.
Bug: 173084343
Test: mma
Change-Id: I62714a932e71dfc77401bbcb9eaaaf3d94fb9707
Merged-In: I62714a932e71dfc77401bbcb9eaaaf3d94fb9707
(cherry picked from commit 98ed9baf5d)
