This CL adds validation tests for all of the existing generated models.
The strategy of this CL is this: given a valid model or request, make a
single change to invalidate the model or request, then verify that the
vendor service driver catches the inconsistency and returns
INVALID_ARGUMENT.
Bug: 67828197
Test: mma
Test: VtsHalNeuralnetworksV1_0TargetTest
Test: VtsHalNeuralnetworksV1_1TargetTest
Merged-In: I8efcdbdccc77aaf78992e52c1eac5c940fc81a03
Change-Id: I8efcdbdccc77aaf78992e52c1eac5c940fc81a03
(cherry picked from commit f76acd0312)
Bug: http://b/74200014
Building this module with asan triggers an internal error in gold.
Test: mma SANITIZE_TARGET=address in
hardware/interfaces/neuralnetworks/1.1/vts/functional
Merged-In: I3ce5352a6c86c8dca257d35af06989e57f871749
Change-Id: I3ce5352a6c86c8dca257d35af06989e57f871749
(cherry picked from commit cca38c56f4)
There are some NN VTS tests that assume a service is able to generate a
model consisting only of a floating point add operation. However, some
drivers do not support floating point operations. This CL relaxes the
test requirements to allow a test to be skipped if the service does not
support floating point add.
Bug: 72764145
Test: mma
Test: VtsHalNeuralnetworksV1_0TargetTest
Merged-In: I6b0644432680fc2f8098b5187795dc2953df03f9
Change-Id: I6b0644432680fc2f8098b5187795dc2953df03f9
(cherry picked from commit 4d5bb1097a)
- Create VtsHalNeuralnetworksTest_utils module to be shared between
v1.x tests.
- Split the existing tests into two categories: basic, and generated.
- Created v1.1 VTS tests ensuring no regression in existing ML models.
Bug: 63911257
Test: mm
Test: NNAPI VTS tests pass on v1.0 and v1.1 sample drivers
Merged-In: Ic77c90a3a5bbd96b0ce2acd03764dde4b3034cc9
Change-Id: Ic77c90a3a5bbd96b0ce2acd03764dde4b3034cc9
(cherry picked from commit a2d04c828e)
