NNAPI HAL: Remove priority from prepareModelFromCache_1_3
prepareModelFromCache_1_3 uses model cache and data cache that
represent a prepared model. Any argument that contributes in a
meaningful way to the prepared model is implicitly included in
this model cache and data cache. For example, "model" and
"executionPreference" appear in prepareModel_1_3 but not in
prepareModelFromCache_1_3 because they are implicitly included
in the model cache and data cache. In a similar way, because
it could affect the resulting model, "priority" should be
removed from prepareModelFromCache_1_3.
Fixes: 148802784
Test: mma
Test: VtsHalNeuralnetworksV1_3TargetTest
Change-Id: I518e493ead8aa97220b16370cce8523b425c378c
Merged-In: I518e493ead8aa97220b16370cce8523b425c378c
(cherry picked from commit c90250ff57
)
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3 changed files with 3 additions and 10 deletions
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@ -625,7 +625,7 @@ bbeee9604128ede83ee755b67e73b5ad29e6e1dbac9ec41fea6ffe2745b0c50a android.hardwar
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adb0efdf1462e9b2e742c0dcadd598666aac551f178be06e755bfcdf5797abd0 android.hardware.keymaster@4.1::IOperation
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ac429fca0da4ce91218768ec31b64ded88251f8a26d8c4f27c06abdc5b1926d9 android.hardware.keymaster@4.1::types
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65c16331e57f6dd68b3971f06f78fe9e3209afb60630c31705aa355f9a52bf0d android.hardware.neuralnetworks@1.3::IBuffer
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d1f382d14e1384b907d5bb5780df7f01934650d556fedbed2f15a90773c657d6 android.hardware.neuralnetworks@1.3::IDevice
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9b41dd49e2dcc2ecb4243d03f8421d72494ada5cf2945bff88f0019eeca56923 android.hardware.neuralnetworks@1.3::IDevice
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4167dc3ad35e9cd0d2057d4868c7675ae2c3c9d05bbd614c1f5dccfa5fd68797 android.hardware.neuralnetworks@1.3::IExecutionCallback
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2fa3679ad7c94b5e88724adcd560c561041068a4ca565c63830e68101988746a android.hardware.neuralnetworks@1.3::IFencedExecutionCallback
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237b23b126a66f3432658020fed78cdd06ba6297459436fe6bae0ba753370833 android.hardware.neuralnetworks@1.3::IPreparedModel
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@ -260,11 +260,6 @@ interface IDevice extends @1.2::IDevice {
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* the model, the callback object must be invoked with the appropriate
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* ErrorStatus value and nullptr for the IPreparedModel.
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*
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* The model is prepared with a priority. This priority is relative to other
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* prepared models owned by the same client. Higher priority executions may
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* use more compute resources than lower priority executions, and may
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* preempt or starve lower priority executions.
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*
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* prepareModelFromCache_1_3 can be called with an optional deadline. If the
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* model is not able to prepared before the provided deadline, the model
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* preparation must be aborted, and either {@link
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@ -284,8 +279,6 @@ interface IDevice extends @1.2::IDevice {
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* used with different shapes of inputs on different (possibly concurrent)
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* executions.
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*
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* @param priority The priority of the prepared model relative to other
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* prepared models owned by the client.
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* @param deadline The time by which the model must be prepared. If the
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* model cannot be prepared by the deadline, the preparation must be
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* aborted.
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@ -318,7 +311,7 @@ interface IDevice extends @1.2::IDevice {
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* met
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* - RESOURCE_EXHAUSTED_* if the task was aborted by the driver
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*/
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prepareModelFromCache_1_3(Priority priority, OptionalTimePoint deadline,
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prepareModelFromCache_1_3(OptionalTimePoint deadline,
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vec<handle> modelCache, vec<handle> dataCache,
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uint8_t[Constant:BYTE_SIZE_OF_CACHE_TOKEN] token,
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IPreparedModelCallback callback)
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@ -370,7 +370,7 @@ class CompilationCachingTestBase : public testing::Test {
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sp<PreparedModelCallback> preparedModelCallback = new PreparedModelCallback();
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hidl_array<uint8_t, sizeof(mToken)> cacheToken(mToken);
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Return<ErrorStatus> prepareLaunchStatus = kDevice->prepareModelFromCache_1_3(
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kDefaultPriority, {}, modelCache, dataCache, cacheToken, preparedModelCallback);
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{}, modelCache, dataCache, cacheToken, preparedModelCallback);
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ASSERT_TRUE(prepareLaunchStatus.isOk());
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if (static_cast<ErrorStatus>(prepareLaunchStatus) != ErrorStatus::NONE) {
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*preparedModel = nullptr;
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