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)
This CL copies information from
packages/modules/NeuralNetworks/runtime/VersionedInterfaces.cpp and
modifies the description to be more appropriate for the NN HAL utility
code.
Specific sections added to the README:
* "HIDL Interface Lifetimes across Processes"
* "Protecting Asynchronous Calls across HIDL"
Bug: 170289677
Test: mma
Change-Id: Id381895535d708b627f4746687b4d12e16560639
Merged-In: Id381895535d708b627f4746687b4d12e16560639
(cherry picked from commit 7a655bb3d4)
A sibling CL to this CL changes the definition of nn::TimePoint to the
same type as std::chrono::steady_clock::time_point but has changed the
underlying duration representation to use uint64_t. That sibling CL also
renames nn::OptionalTimeoutDuration to nn::OptionalDuration, and changes
the definition to the same type as std::nanoseconds except the
underlying duration representation now uses uint64_t.
This CL makes changes to the NN HAL utility code in response to the
changes in the sibling CL.
Bug: 174297663
Test: mma
Test: NeuralNetworksTest_static
Change-Id: If44d9aefadb2c78b632ff289b5ff5a49f766525c
Merged-In: If44d9aefadb2c78b632ff289b5ff5a49f766525c
(cherry picked from commit ca11420785)
Meet timeout when run NNAPI VTS on some A35 CPU device.
Enlarge the single-test timeout from 1m to 20m.
Bug: 175510656
Test cases:
VtsHalNeuralnetworksV1_0TargetTest
VtsHalNeuralnetworksV1_1TargetTest
Change-Id: I869208c79ff4c1d1928603a5630f456915928957
Prior to this change, whenever the NN utility code encountered a HIDL
transport error, the error message would display the file and line
number of the "handleTransportError" function itself. This change
introduces a new macro "HANDLE_TRANSPORT_FAILURE" that handles the
transport error in a similar way but now the error message displays
the file and line number of where the macro is called.
Bug: N/A
Test: mma
Change-Id: I35b34f8f5be52b7fcff0fbb58a37ab2b8c7dd8bb
Merged-In: I35b34f8f5be52b7fcff0fbb58a37ab2b8c7dd8bb
(cherry picked from commit 61f508e018)
This change renames all `convert` functions to `unvalidatedConvert`.
This change also introduces new `convert` functions that act only on the
types that appear in the NN HIDL methods directly. These new `convert`
functions perform validation. Specifically, if either the source or
destination value is invalid, then the conversion fails.
Bug: 160667419
Test: mma
Test: NeuralNetworksTest_static
Change-Id: I492956ff60ad1466c67893993d28cdd6f3860708
Merged-In: I492956ff60ad1466c67893993d28cdd6f3860708
(cherry picked from commit 32acc06144)
This CL implements the canonical IDevice, IPreparedModel, and IBuffer
interfaces for the 1.0, 1.1, 1.2, and 1.3 NN HIDL HAL interfaces.
Further, it introduces "Resilient" adapter interfaces to automatically
retrieve a handle to a recovered interface object after it has died and
rebooted.
This CL also updates the conversion code from returning nn::Result to
nn::GeneralResult, which includes a ErrorStatus code in the case of an
error.
Finally, this CL introduces a new static library
neuralnetworks_utils_hal_service which consists of a single function
::android::nn::hal::getDevices which can be used by the NNAPI runtime to
retrieve the HIDL services without knowing the underlying HIDL types.
Bug: 160668438
Test: mma
Test: NeuralNetworksTest_static
Change-Id: Iec6ae739df196b4034ffb35ea76781fd541ffec3
Merged-In: Iec6ae739df196b4034ffb35ea76781fd541ffec3
(cherry picked from commit 3670c385c4)
This CL creates the following primary sets of functions:
* V1_X::utils::convert(<canonical_type>) -- Converts a canonical type
to the corresponding HAL version type.
* nn::convert(<V1_X_HAL_type>) -- Converts a HAL version type to the
corresponding canonical type.
* neuralnetworks::utils::hasNoPointerData -- Indicates if the object
contains no pointer-based data that could be relocated to shared
memory.
* neuralnetworks::utils::flushDataFromPointerToShared -- Relocate
pointer-based data to shared memory.
* neuralnetworks::utils::unflushDataFromSharedToPointer -- Undoes
`flushDataFromPointerToShared` on a Request object. More
specifically, `unflushDataFromSharedToPointer` copies the output
shared memory data from the transformed Request object back to the
output pointer-based memory in the original Request object.
It also introduces some other minor utility code, including
makeQuantized8PerformanceConsistentWithP, countNumberOfConsumers,
validate, valid, and validatedConvertToCanonical.
Bug: 160667419
Test: mma
Change-Id: I0732e658c1f4ed40cd122f1ca8581fb40b056757
Merged-In: I0732e658c1f4ed40cd122f1ca8581fb40b056757
(cherry picked from commit a685c3dbf4)
HIDL libs are not necessarily part of VNDK now. Because some are
used by VNDK libs, they are still VNDK. But rest are now just
vendor-available.
.hidl_for_test files are also removed because they are used to exclude
test-purpose hidl libs from VNDK libs.
Instead, .hidl_for_system_ext files are added to tests/lazy to
distinguish them from others which are installed /system.
Bug: 143933769
Test: update-makefiles.sh && m com.android.vndk.current
Merged-In: Ia81312dda340b6b5cbdd7a3c21e1d323bda39a4a
Change-Id: Ia81312dda340b6b5cbdd7a3c21e1d323bda39a4a
(cherry picked from commit b0907a6bb8)
- Also adds TEST_MAPPING filters here to make sure sample driver tests
are still being filtered out.
Bug: 155577050
Test: mm
Test: atest VtsHalNeuralnetworksV1_0TargetTest
Change-Id: Ic8f556a957e6af340d500e2c4696b41b2a6e8516
Merged-In: Ic8f556a957e6af340d500e2c4696b41b2a6e8516
(cherry picked from commit 8ebe2a04c5)
- detect cycle (CycleTest)
- detect bad execution order (mutateExecutionOrderTest)
- detect lifetime inconsistent with whether operand is written (mutateOperandLifeTimeTest)
- detect lifetime inconsistent with Model inputIndexes/outputIndexes (mutateOperandInputOutputTest)
- detect incorrect number of consumers (mutateOperandNumberOfConsumersTest)
- detect operand written multiple times (mutateOperandAddWriterTest)
- detect operand never written (mutateOperationRemoveWriteTest)
Bug: 66478689
Test: VtsHalNeuralnetworksV1_*TargetTest
Change-Id: Id4ba19660bbd31a16f8a675f7b6437f4d779e8da
Merged-In: Id4ba19660bbd31a16f8a675f7b6437f4d779e8da
(cherry picked from commit af51663e99)
Bug: 151896491
Test: local build
Exempt-From-Owner-Approval: This CL update suite name vts-core to vts as
the suite name is updated. This CL won't change test logic or behavior.
Change-Id: I562b4dc50765e953800a814a8fd84a01c1b9352b
Merged-In: I562b4dc50765e953800a814a8fd84a01c1b9352b
Do not run validation on "inputs_as_internal" and
"all_tensors_as_inputs" variants.
Bug: 138149072
Bug: 149840439
Test: mma
Test: VtsHalNeuralnetworksV1_*TargetTest
Change-Id: I0699ed6703e48b6c4bc0e7a392b79c12770f04c9
Merged-In: I0699ed6703e48b6c4bc0e7a392b79c12770f04c9
(cherry picked from commit 678a10600c)
This CL also cleans up the validation framework code.
Bug: 67828197
Test: mma
Test: VtsHalNeuralnetworksV1_*TargetTest
Change-Id: I84661fb2b8204148788d10425ca0ac986158b15f
Merged-In: I84661fb2b8204148788d10425ca0ac986158b15f
(cherry picked from commit da1a692880)
At present, the tests might not actually use _Float16 (the generated
tests that are incorporated into the functional tests are built in
frameworks/ml rather than in hardware/interfaces); but the makefiles
are changed anyway, in case _Float16 is added in the future.
Bug: 138709788
Test: for (walleye, aosp_x86 [on emulator], aosp_x86_64 [on emulator])
Use clang where _Float16 is disabled for x86[_64]
$ cd $ANDROID_BUILD_TOP/neuralnetworks/1.0/vts/functional
inspect build commands for tests as to whether or not
expected options related to redefinition are present
$ cd $ANDROID_BUILD_TOP/neuralnetworks/1.1/vts/functional
inspect build commands for tests as to whether or not
expected options related to redefinition are present
Change-Id: I9225b228947696d249771b3a35b1f82de9c26b6e
(cherry picked from commit 2452ee5a80)
types.hal files are generated from current types.spec.
Bug: 136735770
Test: mma
Change-Id: Ide24606f8b1d5e755a71d46f230409942d8df7e9
Merged-In: Ide24606f8b1d5e755a71d46f230409942d8df7e9
(cherry picked from commit eb7f175613)
There are certain pieces of NeuralNetworks.h and of our various *.hal
files that ought to be kept in sync -- most notably the operand type
and operation type definitions and descriptions in our
NeuralNetworks.h and types.hal files. To avoid having to do this
manually, a tool can be employed.
The old solution to this problem is sync_enums_to_hal.py, which parses
the existing NeuralNetworks.h and types.hal files, and then rewrites
the types.hal files: It identifies the operand type and operation type
portions of the files, and in the types.hal files replaces them with
transformed versions of the portions from NeuralNetworks.h. This
approach is brittle -- it is very sensitive to the structure of the
files, as was recognized when this tool was created. Changes to those
files since the script was last updated essentially broke the script,
as noted in http://b/140132458.
The new solution employs a new tool generate_api.py to combine a
single "specification file" with one "template file" per API file
(NeuralNetworks.h or types.hal) to produce that API file. The script
generate_api.sh invokes generate_api.py once per API file, passing
appropriate arguments. See frameworks/ml/nn/tools/api/README.md for
more details.
In the process of combining information from NeuralNetworks.h and
*/types.hal, some formatting, syntactic, and semantic changes have
been made to those files. For example:
- types.hal files no longer refer to API levels or (similarly)
to HAL versions other than earlier HAL versions
Bug: 130169064
Bug: 140132458
Test: cd neuralnetworks ; mma
Change-Id: Iceb38effc2c7e6c32344e49225b85256144c0945
Merged-In: Iceb38effc2c7e6c32344e49225b85256144c0945
(cherry picked from commit 2cae5c8b01)
This CL removes a dependency on the VTS test runner by dynamically
discovering all NN HAL service instances in the gtest binary itself,
and runs through all service instances with parameterized tests.
This CL converts TEST_F cases to TEST_P cases, where the test parameter
is the name of the service instance. For existing TEST_P cases (such as
the generated test cases), the service instance name is made to be the
first test parameter.
This CL enables the NN VTS tests to be more portable, e.g., they can
run directly as a presubmit test.
Fixes: 124540002
Test: mma
Test: VtsHalNeuralnetworksV1_*TargetTest (with sample-all)
Test: cd $ANDROID_BUILD_TOP/hardware/interfaces/neuralnetworks && atest
Change-Id: I1e301d7c9f9342bb8f35a267bef180f510944b19
Merged-In: I1e301d7c9f9342bb8f35a267bef180f510944b19
(cherry picked from commit 7076f629b7)
Under certain circumstances, we guarantee that a prepared model can be
executed successfully. In describing those circumstances, we
neglected to specify that operation input operands must have legal
values for the guarantee to hold. For example, the guarantee doesn't
hold if an ADD operation has an activation input that is not one of
the defined values; or if a RESHAPE operation has a shape input in
which two or more components are -1.
This change modifies the guarantee to apply only when operation input
operands have legal values. It also documents this guarantee for
burst execution.
Note that if an operation has an input operand that can be proven to
have an illegal value at preparation time (e.g., a constant value that
is illegal), model preparation might (but is not required to) fail for
that reason.
Bug: 135933040
Test: $ cd neuralnetworks ; mma
Change-Id: I8b421550dd89e4bbbdae899e7cb5e9e88a46d2fb
(cherry picked from commit 48544cc38a)
This CL does additional NNAPI VTS test cleanup, including consolidating
duplicate functionality. Specifically, this CL:
* consolidates the createPreparedModel function, removing the duplicate
* consolidates the std::out ErrorStatus and DeviceStatus code into Utils
* changes non-null constant pointers to constant references
* removes redudant leading namespace specifiers (V1_0::, ::testing, etc.)
* makes the Valdiation tests free functions
* renames device to kDevice and mTestModel to kTestModel
Bug: N/A
Test: mma
Test: VtsHalNeuralnetworksV1_*TargetTest (with sample-all)
Change-Id: Ic401bb1f1760cc10384ac0d30c0c93409b63a9c7
Merged-In: Ic401bb1f1760cc10384ac0d30c0c93409b63a9c7
(cherry picked from commit e16af0a44b)
Fixes: 123092187
Test: mma all VTS
Test: Attempt to modify test enum value,
confirm that there is build error with proper error message.
Change-Id: I0129378c87637b33bb145ec93307634273a9d2fd
Merged-In: I0129378c87637b33bb145ec93307634273a9d2fd
(cherry picked from commit cbfa6b998e)
Comparing with v1.1, the converter for 1.2 HIDL model has additional support
for extraParam, dynamic output shape, and zero-sized output.
Modify CompilationCachingTests to use the new test struct.
Bug: 123092187
Bug: 138718240
Test: All VTS
Change-Id: I54ac97f62898e47a338b51cc6d895a0309ab001f
Merged-In: I54ac97f62898e47a338b51cc6d895a0309ab001f
(cherry picked from commit 491b0a8913)
See change I2c0366fb87c96851fa6e0f8fe9ceac012d8e3513
Bug: 136097638
Test: m VtsHalNeuralnetworksV1_0TargetTest
Test: m VtsHalNeuralnetworksV1_1TargetTest
Test: m VtsHalNeuralnetworksV1_2TargetTest
Test: m VtsHalNeuralnetworksV1_2CompatV1_0TargetTest
Change-Id: I6fdede028422145d313d46532b5d2154ef0d40bc
Merged-In: I6fdede028422145d313d46532b5d2154ef0d40bc
(cherry picked from commit 2bcfdc82a0)
The VTS Callback files are a subset of the Callback files in
frameworks/ml/nn/runtime/Callbacks.*. This CL syncs the implementations,
removing the functionality that is not needed in VTS.
Fixes: 132322149
Test: mma
Test: VtsHalNeuralnetworksV1_0TargetTest
Test: VtsHalNeuralnetworksV1_1TargetTest
Test: VtsHalNeuralnetworksV1_2TargetTest
Change-Id: I114ce7f3b6c3d58de0196e9508209614d0a73e11
Merged-In: I114ce7f3b6c3d58de0196e9508209614d0a73e11
(cherry picked from commit 23d0e562e0)
To make it easier to create the next version of NNAPI, this change
removes the following nonsensical dependence:
- NNAPI 1.0 VTS depends on NNAPI 1.1 and 1.2
- NNAPI 1.1 VTS depends on NNAPI 1.2
In particular, I made the following changes:
- split GeneratedTestHarness.cpp into three separate implementations,
- created a restricted version of Callbacks.h for 1.0 and 1.1,
- removed the dependency on frameworks/ml/nn/HalInterfaces.h,
- refactored Android.bp files for more autonomy between 1.0, 1.1, and 1.2,
- consolidated some common code into Utils.h,
- created structure for sharing code between VTS versions (VtsHalNeuralNetworksV1_0_utils).
Bug: 74827824
Bug: 124462414
Test: VtsHalNeuralnetworksV1_0TargetTest
Test: VtsHalNeuralnetworksV1_1TargetTest
Test: VtsHalNeuralnetworksV1_1CompatV1_0TargetTest
Test: VtsHalNeuralnetworksV1_2TargetTest
Test: VtsHalNeuralnetworksV1_2CompatV1_0TargetTest
Test: VtsHalNeuralnetworksV1_2CompatV1_1TargetTest
Change-Id: I4243d0b5e574255cef1070850f4d0a284f65f54e
Merged-In: I4243d0b5e574255cef1070850f4d0a284f65f54e
(cherry picked from commit 1d6b465997)
Bug: 121347610 document that NNAPI Execution inputs/outputs and HAL Request inputs/outputs must not be modified
Test: cd hardware/interfaces/neuralnetworks/1.0/vts/functional ; mma
Test: cd hardware/interfaces/neuralnetworks/1.2/vts/functional ; mma
Change-Id: Iac71d6d5ad92a90afd1b6babb7cfa128d7484c64
The documentation said that cell-to-input weights are required to be
present when input-to-input weights, recurrent-to-input weights and
input gate bias are present. This was incorrect since this weights can
be omitted if peephole connections are not used even if all the other
tensors are present.
Another bug that is fixed in this change is that for output #0 the docs
said "of shape [batch_size, num_units * 4] with CIFG, or [batch_size,
num_units * 3] without CIFG" when in fact it is the opposite, i.e. "of
shape [batch_size, num_units * 3] with CIFG, or [batch_size, num_units *
4] without CIFG."
Existing CTS/VTS tests expect behaviour described in the fixed documentation.
Existing CPU implementation is also compliant with the fixed documentation.
Fix: 111842951
Test: mma
Change-Id: Id011783e33672ae65dc6fe3784cb26feb832acf9
Merged-In: Id011783e33672ae65dc6fe3784cb26feb832acf9
(cherry picked from commit e0537f09fb)
This CL adds the following two types of validation tests on the NNAPI
Burst serialized format:
(1) it directly modifies the serialized data (invalidating it) to ensure
that vendor driver services properly validates the serialized
request
(2) it ensures that vendor driver services properly fail when the result
channel is not large enough to return the data
This CL additionally includes miscellaneous cleanups:
(1) having a generic "validateEverything" function
(2) moving the "prepareModel" function that's common across
validateRequest and validateBurst to a common area
Fixes: 129779280
Bug: 129157135
Test: mma
Test: VtsHalNeuralnetworksV1_2TargetTest (with sample-all)
Change-Id: Ib90fe7f662824de17db5a254a8c501855e45f6bd
Merged-In: Ib90fe7f662824de17db5a254a8c501855e45f6bd
(cherry picked from commit 20f28a24e9)
RESIZE_NEAREST_NEIGHBOR
- The CPU implementation always had the order of {width, height}.
- In P, the documentation was incorrectly changed to {height, width}.
Bug: 131623949
Bug: 130035110
Test: mm
Change-Id: I6c79459fa73347fb51fc34a76ad78d5ac207f210
Merged-In: I6c79459fa73347fb51fc34a76ad78d5ac207f210
(cherry picked from commit 286339b4c8)
Bug: http://b/74200014
This is no longer broken after switching to lld.
Test: mmma SANITIZE_TARGET=address
hardware/interfaces/neuralnetworks/1.0/vts/functional
Change-Id: I0920da7db83222d089c7a571e9478fb7ad9ad9d4
hidl-generated makefiles are now generated such that bpfmt(file) == file.
Bug: 67417008
Test: enable bpfmt hook
Change-Id: I1f69d292bc23a7cc293a66110cb02d597e1019ad
This CL adapts the VTS code to the corresponding changes made in the NN
utility library.
Bug: 128319484
Test: mma
Test: atest VtsHalNeuralnetworksV1_0Target
Test: atest VtsHalNeuralnetworksV1_1Target
Test: atest VtsHalNeuralnetworksV1_2Target
Change-Id: I470e8228cde2b75620ad851e4fe408f8e8329e7c
Merged-In: I470e8228cde2b75620ad851e4fe408f8e8329e7c
(cherry picked from commit 102e0442d8)
This CL adapts the VTS code to the corresponding changes made in the NN
utility library.
Bug: 119570067
Test: mma
Test: atest VtsHalNeuralnetworksV1_0Target
Test: atest VtsHalNeuralnetworksV1_1Target
Test: atest VtsHalNeuralnetworksV1_2Target
Change-Id: I7cbc1d7025c0352aa1ed29d71dc84c2fcfc20a4f
Merged-In: I7cbc1d7025c0352aa1ed29d71dc84c2fcfc20a4f
(cherry picked from commit e68668f65b)
- Instead of isCachingSupport returning a single boolean, switch to
getNumberOfCacheFilesNeeded returning the number of cache files. This
is to support use cases when driver needs more than one cache file for
each type, or when driver does not need data cache.
- Instead of a separate saveToCache, pass cache info along with
prepareModel_1_2 to save into cache as well as perform compilation.
This is to avoid a potential additional copy of cache files.
Bug: 123780248
Test: VtsHalNeuralnetworksV1_xTargetTest with 1.2 sample driver
Test: VtsHalNeuralnetworksV1_xTargetTest with a test driver that can
read and write cache entries
Change-Id: I921b7b8ccc3c66af19f6589f7213c6870d6f07bf
Merged-In: I921b7b8ccc3c66af19f6589f7213c6870d6f07bf
(cherry picked from commit b61ba1ed0b)
This is needed to be able to test DEQUANTIZE after adding
TENSOR_QUANT8_SYMM support.
Test: NeuralNetworksTest_static
Test: VtsHalNeuralnetworksV1_2TargetTest
Change-Id: Iba9b286df70919d7b67cd77c91e625a044bd686c
Merged-In: Iba9b286df70919d7b67cd77c91e625a044bd686c
(cherry picked from commit bf26a9e3d7)
This CL creates a new suite of tests to enable presubmit tests:
* PresubmitHalNeuralnetworksV1_0TargetTest
* PresubmitHalNeuralnetworksV1_1TargetTest
* PresubmitHalNeuralnetworksV1_2TargetTest
These tests are the same as the VTS tests, with the exception that they
will skip running all tests (but still pass) if the service cannot be
found and its name starts with "service-".
This change does not affect the existing NNAPI VTS tests.
Test: mma
Test: atest
Bug: 124040554
Change-Id: I36a38b66b21fd51d0ca381bb4e05a39266dd353f
(cherry picked from commit ed68233697)
Argument-dependent lookup will only work for operator>> if the operator
is in one of the argument's namespaces. This caused the enumerations to
pretty-print for V1_0, but not for V1_1 or V1_2. This change ensures the
V1_0 namespace is used.
Test: mma
Test: atest VtsHalNeuralnetworksV1_0TargetTest (verified the test output "OFFLINE" for DeviceStatus and "DEVICE_UNAVAILABLE" for ErrorStatus instead of raw byte value representation)
Test: atest VtsHalNeuralnetworksV1_1TargetTest (verified the test output "OFFLINE" for DeviceStatus and "DEVICE_UNAVAILABLE" for ErrorStatus instead of raw byte value representation)
Test: atest VtsHalNeuralnetworksV1_2TargetTest (verified ran and passed tests)
Fixes: 124316129
Change-Id: I764a46e2d87615b1f3da0ab0e6edb134bb533887
(cherry picked from commit 42a35bee10)
Add the following tests for compilation caching:
- validation tests
- Test isCachingSupported
- Test prepareModelFromCache with invalid numFd and invalid access mode
- Test saveToCache with invalid numFd, invalid access mode,
invalid file size, and invalid fd offset
- execution test
- Save a mobilenet model to cache and then retrieve and run accuracy
evaluation.
- The same test but the file offsets for prepareModelFromCache is not at zero.
- security test
- CompilationCachingSecurityTest.CorruptedSecuritySensitiveCache
Randomly flip one bit of security-sensitive cache.
- CompilationCachingSecurityTest.WrongLengthSecuritySensitiveCache
Randomly append bytes to security-sensitive cache.
- CompilationCachingSecurityTest.WrongToken
Randomly flip one bit of cache token.
Bug: 119616526
Test: VtsHalNeuralnetworksV1_xTargetTest with 1.2 sample driver
Test: VtsHalNeuralnetworksV1_xTargetTest with a test driver that can
read and write cache entries
Change-Id: Iae9211cb28ce972b29572dfedd45d1ade4dfdaf5
Merged-In: Iae9211cb28ce972b29572dfedd45d1ade4dfdaf5
(cherry picked from commit 3405878e5e)
Test dynamic output shape with generated models when
- Dimensions of output operands are fully specified
- Dimensions of output operands are unspecified with sufficient buffer
- Dimensions of output operands are unspecified with insufficient buffer
Test: VTS on 1.2 sample driver
Change-Id: I4d26395ce443687ccbd47445b36e3356d70035cc
Merged-In: I4d26395ce443687ccbd47445b36e3356d70035cc
(cherry picked from commit 929fd21e06)
- Instead of reporting PASS for unsupported tests, use GTEST_SKIP to
skip the tests at runtime.
Bug: 113356629
Test: mm
Test: VTS tests on HVX driver
Change-Id: I6a870b61809e58490e66dd4ea36ddeb64fc68a07
Merged-In: I6a870b61809e58490e66dd4ea36ddeb64fc68a07
(cherry picked from commit bb685a4a97)
FastMessageQueue is a Treble-compliant data structure that enables fast
communication between two processes. The FMQ object itself is an atomic
circular buffer that is optionally synchronized with a futex. However,
FMQ has no notion of ownership or lifetime across processes, so it must
be paired with higher-level constructs to manage the lifetime and
ownership.
The NNAPI is introducing the notion of an "Execution Burst" object (or
more simply a "Burst" object), which is similar to an
ANeuralNetworksExecution, but is intended to be reused across multiple
executions and has lower IPC overheads. It achieves this low IPC
overhead by replacing HIDL HwBinder calls with FMQ messages.
Specifically, it replaces IPreparedModel::executeSynchronously's call
from the client into the service with fmq_sync<FmqRequestDatum> (an FMQ
channel used to pass a serialized Request object) and it replaces
the return from the service into the client with
fmq_sync<FmqResultDatum> (an FMQ channel used to return serialized
result status and OutputShapes information).
Each channel is a unidirectional flow of information with exactly one
producer and exactly one consumer. The channels are created by the NN
runtime and passed to the service via
IPreparedModel::configureExecutionBurst.
This CL tests the Burst in both the execution path and validation path
in the Vendor Test Suite (VTS) in neuralnetworks/1.*/vts/functional/.
The VTS binary--VtsHalNeuralnetworksV1_2TargetTest--can be built and run
as any previous version could.
Bug: 119570067
Test: mma
Test: VtsHalNeuralnetworksV1_2TargetTest
Change-Id: I3a36484eff9565c2d028c07c099804a0289f294a
Merged-In: I3a36484eff9565c2d028c07c099804a0289f294a
(cherry picked from commit 814d8372f3)
Bug: 119274127
Test: all of the following, with the appropriate android.hardware.neuralnetworks@1.${X}::IDevice/sample-all
VtsHalNeuralnetworksV1_0TargetTest
VtsHalNeuralnetworksV1_0TargetTest
VtsHalNeuralnetworksV1_1CompatV1_0TargetTest
VtsHalNeuralnetworksV1_1CompatV1_0TargetTest
VtsHalNeuralnetworksV1_1TargetTest
VtsHalNeuralnetworksV1_1TargetTest
VtsHalNeuralnetworksV1_2CompatV1_0TargetTest
VtsHalNeuralnetworksV1_2CompatV1_0TargetTest
VtsHalNeuralnetworksV1_2CompatV1_1TargetTest
VtsHalNeuralnetworksV1_2CompatV1_1TargetTest
VtsHalNeuralnetworksV1_2TargetTest
VtsHalNeuralnetworksV1_2TargetTest
Change-Id: Iedfa485b4008d9cec3b81ff4c0ce3ebc0b83c823
(cherry picked from commit 49e41678f5)
Create 1.2 version IPreparedModel, IPreparedModelCallback, and
IExecutionCallback.
Currently the new interfaces are created the same as 1.0 version,
but will have more methods introduced in later CLs.
Bug: 73506513
Test: VtsHalNeuralnetworksV1_xTargetTest with 1.2 sample driver
Change-Id: Icf4d04c22f88e825d87562f1489377fdf6bf585d
Merged-In: Icf4d04c22f88e825d87562f1489377fdf6bf585d
(cherry picked from commit b5cb8f7632)
This removes the use of a separately updated list of models
that has fallen out of sync.
Bug: 119293899
Test: VtsHalNeuralnetworksV1_2TargetTest --hal_service_instance=android.hardware.neuralnetworks@1.2::IDevice/sample-all
Test: VtsHalNeuralnetworksV1_2CompatV1_1TargetTest --hal_service_instance=android.hardware.neuralnetworks@1.2::IDevice/sample-all
Test: VtsHalNeuralnetworksV1_2CompatV1_0TargetTest --hal_service_instance=android.hardware.neuralnetworks@1.2::IDevice/sample-all
Test: VtsHalNeuralnetworksV1_1TargetTest --hal_service_instance=android.hardware.neuralnetworks@1.1::IDevice/sample-all
Test: VtsHalNeuralnetworksV1_1CompatV1_0TargetTest --hal_service_instance=android.hardware.neuralnetworks@1.1::IDevice/sample-all
Test: VtsHalNeuralnetworksV1_0TargetTest --hal_service_instance=android.hardware.neuralnetworks@1.0::IDevice/sample-all
Change-Id: I2d8804d78331b8fceab4c622c871802aa0f0a4b4
Merged-In: I2d8804d78331b8fceab4c622c871802aa0f0a4b4
(cherry picked from commit b5fe58b95a)
This makes it easier to find all the places that need to be changed
after adding a new type to MixedTyped.
Test: VtsHalNeuralnetworksV1_2TargetTest
Change-Id: I92867de6574ec6dc1a17e30d889c79501ea93063
Merged-In: I92867de6574ec6dc1a17e30d889c79501ea93063
(cherry picked from commit 9b490f4833)
This is a copy the v1.1 tests since we don't have any new ops
implemented in v1.2 yet.
Bug: 114365802
Test: mm
Test: NNAPI VTS
Change-Id: Ida7525fcd3ae0fd6f88ff9591e06aba922bdae64
Merged-In: Ida7525fcd3ae0fd6f88ff9591e06aba922bdae64
(cherry-picked from 871be94770)
Set the acceptable error range based on both absolute tolerance and
relative tolerance.
Currently, absolute tolerance is set to 1e-5 for FP32 and 5 epsilon
(~5e-3) for FP16 relaxed computation. The relative tolerance is set to
5ULP of the corresponding precision. Add a TODO mark for potential
future adjustment on error limit based on testing.
Bug: 111768023
Test: none
Change-Id: Idedcec3e09fd7de9696811b93c81d0f180e896ef
Document that every model must have at least one input and one output.
Document graph constraints.
Elaborate a bit on "execution order".
Indicate how operands of different lifetimes are defined (or not).
Fix ANEURALNETWORKS_L2_NORMALIZATION documentation for output shape.
ANEURALNETWORKS_SPACE_TO_DEPTH has inconsistent names for dimensions.
ANEURALNETWORKS_PAD documentation doesn't clearly describe rank or
dimensions of output tensor.
Bug: 66478689
Bug: 67601776
Bug: 69631404
Bug: 79482779
Bug: 79539157
Bug: 79539928
Test: mma at tree root
Change-Id: I6227bea2a486d4b45022d590915e10a124d323d4
Merged-In: I6227bea2a486d4b45022d590915e10a124d323d4
Fix Model::pools documentation.
Specify that an output cannot overlap with an output/input/constant.
Document circumstances under which a prepared model should be expected to execute correctly.
Bug: 87805381
Bug: 79888238
Bug: 77237715
Test: mma at tree root
Change-Id: Ibf3daacad79f1d7e6127acf3887bd98b7c6bdf4e
Merged-In: Ibf3daacad79f1d7e6127acf3887bd98b7c6bdf4e
Updates hardware/interfaces/neuralnetworks/1.(0|1)/types.hal to match
the NeuralNetworks.h header in framework/ml/nn. Only comments have
changed.
Updated using framework/ml/nn/tools/sync_enums_to_hal.py.
Change-Id: I0754868ad8acf6e2e0c5b83661d04682febec9b0
Merged-In: I0754868ad8acf6e2e0c5b83661d04682febec9b0
Bug: 77604249
Test: checked changes with git diff
Test: mm in $ANDROID_BUILD_TOP
(cherry picked from commit 7e64e7f924)
Updates hardware/interfaces/neuralnetworks/1.(0|1)/types.hal to match
the NeuralNetworks.h header in framework/ml/nn. Only comments have
changed.
Updated using framework/ml/nn/tools/sync_enums_to_hal.py.
Change-Id: I0754868ad8acf6e2e0c5b83661d04682febec9b0
Bug: 77604249
Test: checked changes with git diff
Test: mm in $ANDROID_BUILD_TOP
A model can be prepared in different ways to optimize for different
use-cases. This CL propagates the execution preference across the HAL so
that the NN service can better fit the users needs.
Bug: 77864669
Test: mma
Test: NeuralNetworksTest_static
Test: VtsHalNeuralnetworksV1_1TargetTest
Merged-In: Ib928d510d462f36b6a87d5e81010513db7829fa8
Change-Id: Ib928d510d462f36b6a87d5e81010513db7829fa8
(cherry picked from commit 2504c2fe4f)
