Loading current.txt +6 −5 Original line number Diff line number Diff line Loading @@ -628,11 +628,12 @@ bbeee9604128ede83ee755b67e73b5ad29e6e1dbac9ec41fea6ffe2745b0c50a android.hardwar 27ae3724053940462114228872b3ffaf0b8e6177d5ba97f5a76339d12b8a99dd android.hardware.keymaster@4.1::IKeymasterDevice adb0efdf1462e9b2e742c0dcadd598666aac551f178be06e755bfcdf5797abd0 android.hardware.keymaster@4.1::IOperation ac429fca0da4ce91218768ec31b64ded88251f8a26d8c4f27c06abdc5b1926d9 android.hardware.keymaster@4.1::types 4b5c8546533db9412fec6d32c0ef42b22e5e68dbf390c775ec3c22bb2d501102 android.hardware.neuralnetworks@1.3::IBuffer 5a6b75f13f0e010a4268defa4f627b862ab2899fb04f9d985194a25bd8f9fe0d android.hardware.neuralnetworks@1.3::IDevice 058b48f0e2e725bb2b3fa2b7917b0f0a696383d03a4c57afe26f0eadb6a7af28 android.hardware.neuralnetworks@1.3::IPreparedModel 94e803236398bed1febb11cc21051bc42ec003700139b099d6c479e02a7ca3c3 android.hardware.neuralnetworks@1.3::IPreparedModelCallback 12c51f9d04a52324510419aeee3e37bb3607e6900556cdde79774d80ed989855 android.hardware.neuralnetworks@1.3::types 65c16331e57f6dd68b3971f06f78fe9e3209afb60630c31705aa355f9a52bf0d android.hardware.neuralnetworks@1.3::IBuffer d1f382d14e1384b907d5bb5780df7f01934650d556fedbed2f15a90773c657d6 android.hardware.neuralnetworks@1.3::IDevice 4167dc3ad35e9cd0d2057d4868c7675ae2c3c9d05bbd614c1f5dccfa5fd68797 android.hardware.neuralnetworks@1.3::IExecutionCallback 7d23020248194abbee8091cc624f39a5a6d7ccba338b172d5d2d3df0cceffbee android.hardware.neuralnetworks@1.3::IPreparedModel 0439a1fbbec7f16e5e4c653d85ac685d51bfafbae15b8f8cca530acdd7d6a8ce android.hardware.neuralnetworks@1.3::IPreparedModelCallback ee65638f8af3f9f4f222e7208eaa9f1f8e7f8e0a21545846ba67d0e27624efa1 android.hardware.neuralnetworks@1.3::types 3e01d4446cd69fd1c48f8572efd97487bc179564b32bd795800b97bbe10be37b android.hardware.wifi@1.4::IWifi a64467bae843569f0d465c5be7f0c7a5b987985b55a3ef4794dd5afc68538650 android.hardware.wifi.supplicant@1.3::ISupplicant 44445b8a03d7b9e68b2fbd954672c18a8fce9e32851b0692f4f4ab3407f86ecb android.hardware.wifi.supplicant@1.3::ISupplicantStaIface Loading neuralnetworks/1.3/Android.bp +1 −0 Original line number Diff line number Diff line Loading @@ -10,6 +10,7 @@ hidl_interface { "types.hal", "IBuffer.hal", "IDevice.hal", "IExecutionCallback.hal", "IPreparedModel.hal", "IPreparedModelCallback.hal", ], Loading neuralnetworks/1.3/IBuffer.hal +1 −1 Original line number Diff line number Diff line Loading @@ -16,7 +16,7 @@ package android.hardware.neuralnetworks@1.3; import @1.0::ErrorStatus; import ErrorStatus; /** * This interface represents a device memory buffer. Loading neuralnetworks/1.3/IDevice.hal +67 −2 Original line number Diff line number Diff line Loading @@ -16,7 +16,6 @@ package android.hardware.neuralnetworks@1.3; import @1.0::ErrorStatus; import @1.1::ExecutionPreference; import @1.2::Constant; import @1.2::DeviceType; Loading @@ -25,7 +24,10 @@ import @1.2::IDevice; import BufferDesc; import BufferRole; import Capabilities; import ErrorStatus; import Model; import OptionalTimePoint; import Priority; import IBuffer; import IPreparedModel; import IPreparedModelCallback; Loading @@ -45,6 +47,19 @@ interface IDevice extends @1.2::IDevice { */ getCapabilities_1_3() generates (ErrorStatus status, Capabilities capabilities); /** * Returns whether the device is able to complete or abort a task within a * specified duration. * * @return prepareModelDeadline 'true' if the device supports completing or * aborting model preparation by the deadline when the deadline is supplied, * 'false' otherwise. * @return executionDeadline 'true' if the device supports completing or * aborting an execution by the deadline when the deadline is supplied, * 'false' otherwise. */ supportsDeadlines() generates (bool prepareModelDeadline, bool executionDeadline); /** * Gets the supported operations in a model. * Loading Loading @@ -118,6 +133,22 @@ interface IDevice extends @1.2::IDevice { * the callback object must be invoked with the appropriate ErrorStatus * value and nullptr for the IPreparedModel. * * The model is prepared with a priority. This priority is relative to other * prepared models owned by the same client. Higher priority executions may * use more compute resources than lower priority executions, and may * preempt or starve lower priority executions. * * prepareModel_1_3 can be called with an optional deadline. If the model * is not able to be prepared before the provided deadline, the model * preparation must be aborted, and either {@link * ErrorStatus::MISSED_DEADLINE_TRANSIENT} or {@link * ErrorStatus::MISSED_DEADLINE_PERSISTENT} must be returned. The error due * to an abort must be sent the same way as other errors, described above. * If the service reports that it does not support preparation deadlines via * IDevice::supportsDeadlines, and prepareModel_1_3 is called with a * deadline, then the argument is invalid, and {@link * ErrorStatus::INVALID_ARGUMENT} must be returned. * * Optionally, the driver may save the prepared model to cache during the * asynchronous preparation. Any error that occurs when saving to cache must * not affect the status of preparing the model. Even if the input arguments Loading @@ -139,6 +170,11 @@ interface IDevice extends @1.2::IDevice { * @param model The model to be prepared for execution. * @param preference Indicates the intended execution behavior of a prepared * model. * @param priority The priority of the prepared model relative to other * prepared models owned by the client. * @param deadline The time by which the model must be prepared. If the * model cannot be prepared by the deadline, the preparation must be * aborted. * @param modelCache A vector of handles with each entry holding exactly one * cache file descriptor for the security-sensitive cache. The length of * the vector must either be 0 indicating that caching information is Loading Loading @@ -173,8 +209,12 @@ interface IDevice extends @1.2::IDevice { * - GENERAL_FAILURE if there is an unspecified error * - INVALID_ARGUMENT if one of the input arguments related to preparing * the model is invalid * - MISSED_DEADLINE_* if the deadline for preparing a model cannot be * met * - RESOURCE_EXHAUSTED_* if the task was aborted by the driver */ prepareModel_1_3(Model model, ExecutionPreference preference, Priority priority, OptionalTimePoint deadline, vec<handle> modelCache, vec<handle> dataCache, uint8_t[Constant:BYTE_SIZE_OF_CACHE_TOKEN] token, IPreparedModelCallback callback) Loading Loading @@ -220,6 +260,22 @@ interface IDevice extends @1.2::IDevice { * the model, the callback object must be invoked with the appropriate * ErrorStatus value and nullptr for the IPreparedModel. * * The model is prepared with a priority. This priority is relative to other * prepared models owned by the same client. Higher priority executions may * use more compute resources than lower priority executions, and may * preempt or starve lower priority executions. * * prepareModelFromCache_1_3 can be called with an optional deadline. If the * model is not able to prepared before the provided deadline, the model * preparation must be aborted, and either {@link * ErrorStatus::MISSED_DEADLINE_TRANSIENT} * or {@link ErrorStatus::MISSED_DEADLINE_PERSISTENT} must be returned. The * error due to an abort must be sent the same way as other errors, * described above. If the service reports that it does not support * preparation deadlines via IDevice::supportsDeadlines, and * prepareModelFromCache_1_3 is called with a deadline, then the argument is * invalid, and {@link ErrorStatus::INVALID_ARGUMENT} must be returned. * * The only information that may be unknown to the model at this stage is * the shape of the tensors, which may only be known at execution time. As * such, some driver services may return partially prepared models, where Loading @@ -228,6 +284,11 @@ interface IDevice extends @1.2::IDevice { * used with different shapes of inputs on different (possibly concurrent) * executions. * * @param priority The priority of the prepared model relative to other * prepared models owned by the client. * @param deadline The time by which the model must be prepared. If the * model cannot be prepared by the deadline, the preparation must be * aborted. * @param modelCache A vector of handles with each entry holding exactly one * cache file descriptor for the security-sensitive cache. The length of * the vector must match the numModelCache returned from getNumberOfCacheFilesNeeded. Loading @@ -253,8 +314,12 @@ interface IDevice extends @1.2::IDevice { * - GENERAL_FAILURE if caching is not supported or if there is an * unspecified error * - INVALID_ARGUMENT if one of the input arguments is invalid * - MISSED_DEADLINE_* if the deadline for preparing a model cannot be * met * - RESOURCE_EXHAUSTED_* if the task was aborted by the driver */ prepareModelFromCache_1_3(vec<handle> modelCache, vec<handle> dataCache, prepareModelFromCache_1_3(Priority priority, OptionalTimePoint deadline, vec<handle> modelCache, vec<handle> dataCache, uint8_t[Constant:BYTE_SIZE_OF_CACHE_TOKEN] token, IPreparedModelCallback callback) generates (ErrorStatus status); Loading neuralnetworks/1.3/IExecutionCallback.hal 0 → 100644 +64 −0 Original line number Diff line number Diff line /* * Copyright (C) 2019 The Android Open Source Project * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ package android.hardware.neuralnetworks@1.3; import @1.2::IExecutionCallback; import @1.2::OutputShape; import @1.2::Timing; /** * IExecutionCallback must be used to return the error status result from an * execution asynchronously launched from IPreparedModel::execute*. */ interface IExecutionCallback extends @1.2::IExecutionCallback { /** * There are three notify methods declared for the IExecutionCallback * interface: notify_1_3, notify_1_2, and notify. One of the three notify * methods must be invoked immediately after the asynchronous task has * finished performing the execution. One of the notify methods must be * provided with the ErrorStatus from the execution. If the asynchronous * task is not launched, one of the notify methods must be invoked with the * appropriate error. * * @param status Error status returned from launching the asynchronous task * (if the launch fails) or from the asynchronous task itself * (if the launch succeeds). Must be: * - NONE if the asynchronous execution was successful * - DEVICE_UNAVAILABLE if driver is offline or busy * - GENERAL_FAILURE if the asynchronous task resulted in an * unspecified error * - OUTPUT_INSUFFICIENT_SIZE if at least one output * operand buffer is not large enough to store the * corresponding output * - INVALID_ARGUMENT if one of the input arguments to * prepareModel is invalid * - MISSED_DEADLINE_* if the deadline could not be met * - RESOURCE_EXHAUSTED_* if the task was aborted by the driver * @param outputShapes A list of shape information of model output operands. * The index into "outputShapes" corresponds with to index * of the output operand in the Request outputs vector. * outputShapes must be empty unless the status is either * NONE or OUTPUT_INSUFFICIENT_SIZE. * @param timing Duration of execution. Unless MeasureTiming::YES was passed when * launching the execution and status is NONE, all times must * be reported as UINT64_MAX. A driver may choose to report * any time as UINT64_MAX, indicating that particular measurement is * not available. */ oneway notify_1_3(ErrorStatus status, vec<OutputShape> outputShapes, Timing timing); }; Loading
current.txt +6 −5 Original line number Diff line number Diff line Loading @@ -628,11 +628,12 @@ bbeee9604128ede83ee755b67e73b5ad29e6e1dbac9ec41fea6ffe2745b0c50a android.hardwar 27ae3724053940462114228872b3ffaf0b8e6177d5ba97f5a76339d12b8a99dd android.hardware.keymaster@4.1::IKeymasterDevice adb0efdf1462e9b2e742c0dcadd598666aac551f178be06e755bfcdf5797abd0 android.hardware.keymaster@4.1::IOperation ac429fca0da4ce91218768ec31b64ded88251f8a26d8c4f27c06abdc5b1926d9 android.hardware.keymaster@4.1::types 4b5c8546533db9412fec6d32c0ef42b22e5e68dbf390c775ec3c22bb2d501102 android.hardware.neuralnetworks@1.3::IBuffer 5a6b75f13f0e010a4268defa4f627b862ab2899fb04f9d985194a25bd8f9fe0d android.hardware.neuralnetworks@1.3::IDevice 058b48f0e2e725bb2b3fa2b7917b0f0a696383d03a4c57afe26f0eadb6a7af28 android.hardware.neuralnetworks@1.3::IPreparedModel 94e803236398bed1febb11cc21051bc42ec003700139b099d6c479e02a7ca3c3 android.hardware.neuralnetworks@1.3::IPreparedModelCallback 12c51f9d04a52324510419aeee3e37bb3607e6900556cdde79774d80ed989855 android.hardware.neuralnetworks@1.3::types 65c16331e57f6dd68b3971f06f78fe9e3209afb60630c31705aa355f9a52bf0d android.hardware.neuralnetworks@1.3::IBuffer d1f382d14e1384b907d5bb5780df7f01934650d556fedbed2f15a90773c657d6 android.hardware.neuralnetworks@1.3::IDevice 4167dc3ad35e9cd0d2057d4868c7675ae2c3c9d05bbd614c1f5dccfa5fd68797 android.hardware.neuralnetworks@1.3::IExecutionCallback 7d23020248194abbee8091cc624f39a5a6d7ccba338b172d5d2d3df0cceffbee android.hardware.neuralnetworks@1.3::IPreparedModel 0439a1fbbec7f16e5e4c653d85ac685d51bfafbae15b8f8cca530acdd7d6a8ce android.hardware.neuralnetworks@1.3::IPreparedModelCallback ee65638f8af3f9f4f222e7208eaa9f1f8e7f8e0a21545846ba67d0e27624efa1 android.hardware.neuralnetworks@1.3::types 3e01d4446cd69fd1c48f8572efd97487bc179564b32bd795800b97bbe10be37b android.hardware.wifi@1.4::IWifi a64467bae843569f0d465c5be7f0c7a5b987985b55a3ef4794dd5afc68538650 android.hardware.wifi.supplicant@1.3::ISupplicant 44445b8a03d7b9e68b2fbd954672c18a8fce9e32851b0692f4f4ab3407f86ecb android.hardware.wifi.supplicant@1.3::ISupplicantStaIface Loading
neuralnetworks/1.3/Android.bp +1 −0 Original line number Diff line number Diff line Loading @@ -10,6 +10,7 @@ hidl_interface { "types.hal", "IBuffer.hal", "IDevice.hal", "IExecutionCallback.hal", "IPreparedModel.hal", "IPreparedModelCallback.hal", ], Loading
neuralnetworks/1.3/IBuffer.hal +1 −1 Original line number Diff line number Diff line Loading @@ -16,7 +16,7 @@ package android.hardware.neuralnetworks@1.3; import @1.0::ErrorStatus; import ErrorStatus; /** * This interface represents a device memory buffer. Loading
neuralnetworks/1.3/IDevice.hal +67 −2 Original line number Diff line number Diff line Loading @@ -16,7 +16,6 @@ package android.hardware.neuralnetworks@1.3; import @1.0::ErrorStatus; import @1.1::ExecutionPreference; import @1.2::Constant; import @1.2::DeviceType; Loading @@ -25,7 +24,10 @@ import @1.2::IDevice; import BufferDesc; import BufferRole; import Capabilities; import ErrorStatus; import Model; import OptionalTimePoint; import Priority; import IBuffer; import IPreparedModel; import IPreparedModelCallback; Loading @@ -45,6 +47,19 @@ interface IDevice extends @1.2::IDevice { */ getCapabilities_1_3() generates (ErrorStatus status, Capabilities capabilities); /** * Returns whether the device is able to complete or abort a task within a * specified duration. * * @return prepareModelDeadline 'true' if the device supports completing or * aborting model preparation by the deadline when the deadline is supplied, * 'false' otherwise. * @return executionDeadline 'true' if the device supports completing or * aborting an execution by the deadline when the deadline is supplied, * 'false' otherwise. */ supportsDeadlines() generates (bool prepareModelDeadline, bool executionDeadline); /** * Gets the supported operations in a model. * Loading Loading @@ -118,6 +133,22 @@ interface IDevice extends @1.2::IDevice { * the callback object must be invoked with the appropriate ErrorStatus * value and nullptr for the IPreparedModel. * * The model is prepared with a priority. This priority is relative to other * prepared models owned by the same client. Higher priority executions may * use more compute resources than lower priority executions, and may * preempt or starve lower priority executions. * * prepareModel_1_3 can be called with an optional deadline. If the model * is not able to be prepared before the provided deadline, the model * preparation must be aborted, and either {@link * ErrorStatus::MISSED_DEADLINE_TRANSIENT} or {@link * ErrorStatus::MISSED_DEADLINE_PERSISTENT} must be returned. The error due * to an abort must be sent the same way as other errors, described above. * If the service reports that it does not support preparation deadlines via * IDevice::supportsDeadlines, and prepareModel_1_3 is called with a * deadline, then the argument is invalid, and {@link * ErrorStatus::INVALID_ARGUMENT} must be returned. * * Optionally, the driver may save the prepared model to cache during the * asynchronous preparation. Any error that occurs when saving to cache must * not affect the status of preparing the model. Even if the input arguments Loading @@ -139,6 +170,11 @@ interface IDevice extends @1.2::IDevice { * @param model The model to be prepared for execution. * @param preference Indicates the intended execution behavior of a prepared * model. * @param priority The priority of the prepared model relative to other * prepared models owned by the client. * @param deadline The time by which the model must be prepared. If the * model cannot be prepared by the deadline, the preparation must be * aborted. * @param modelCache A vector of handles with each entry holding exactly one * cache file descriptor for the security-sensitive cache. The length of * the vector must either be 0 indicating that caching information is Loading Loading @@ -173,8 +209,12 @@ interface IDevice extends @1.2::IDevice { * - GENERAL_FAILURE if there is an unspecified error * - INVALID_ARGUMENT if one of the input arguments related to preparing * the model is invalid * - MISSED_DEADLINE_* if the deadline for preparing a model cannot be * met * - RESOURCE_EXHAUSTED_* if the task was aborted by the driver */ prepareModel_1_3(Model model, ExecutionPreference preference, Priority priority, OptionalTimePoint deadline, vec<handle> modelCache, vec<handle> dataCache, uint8_t[Constant:BYTE_SIZE_OF_CACHE_TOKEN] token, IPreparedModelCallback callback) Loading Loading @@ -220,6 +260,22 @@ interface IDevice extends @1.2::IDevice { * the model, the callback object must be invoked with the appropriate * ErrorStatus value and nullptr for the IPreparedModel. * * The model is prepared with a priority. This priority is relative to other * prepared models owned by the same client. Higher priority executions may * use more compute resources than lower priority executions, and may * preempt or starve lower priority executions. * * prepareModelFromCache_1_3 can be called with an optional deadline. If the * model is not able to prepared before the provided deadline, the model * preparation must be aborted, and either {@link * ErrorStatus::MISSED_DEADLINE_TRANSIENT} * or {@link ErrorStatus::MISSED_DEADLINE_PERSISTENT} must be returned. The * error due to an abort must be sent the same way as other errors, * described above. If the service reports that it does not support * preparation deadlines via IDevice::supportsDeadlines, and * prepareModelFromCache_1_3 is called with a deadline, then the argument is * invalid, and {@link ErrorStatus::INVALID_ARGUMENT} must be returned. * * The only information that may be unknown to the model at this stage is * the shape of the tensors, which may only be known at execution time. As * such, some driver services may return partially prepared models, where Loading @@ -228,6 +284,11 @@ interface IDevice extends @1.2::IDevice { * used with different shapes of inputs on different (possibly concurrent) * executions. * * @param priority The priority of the prepared model relative to other * prepared models owned by the client. * @param deadline The time by which the model must be prepared. If the * model cannot be prepared by the deadline, the preparation must be * aborted. * @param modelCache A vector of handles with each entry holding exactly one * cache file descriptor for the security-sensitive cache. The length of * the vector must match the numModelCache returned from getNumberOfCacheFilesNeeded. Loading @@ -253,8 +314,12 @@ interface IDevice extends @1.2::IDevice { * - GENERAL_FAILURE if caching is not supported or if there is an * unspecified error * - INVALID_ARGUMENT if one of the input arguments is invalid * - MISSED_DEADLINE_* if the deadline for preparing a model cannot be * met * - RESOURCE_EXHAUSTED_* if the task was aborted by the driver */ prepareModelFromCache_1_3(vec<handle> modelCache, vec<handle> dataCache, prepareModelFromCache_1_3(Priority priority, OptionalTimePoint deadline, vec<handle> modelCache, vec<handle> dataCache, uint8_t[Constant:BYTE_SIZE_OF_CACHE_TOKEN] token, IPreparedModelCallback callback) generates (ErrorStatus status); Loading
neuralnetworks/1.3/IExecutionCallback.hal 0 → 100644 +64 −0 Original line number Diff line number Diff line /* * Copyright (C) 2019 The Android Open Source Project * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ package android.hardware.neuralnetworks@1.3; import @1.2::IExecutionCallback; import @1.2::OutputShape; import @1.2::Timing; /** * IExecutionCallback must be used to return the error status result from an * execution asynchronously launched from IPreparedModel::execute*. */ interface IExecutionCallback extends @1.2::IExecutionCallback { /** * There are three notify methods declared for the IExecutionCallback * interface: notify_1_3, notify_1_2, and notify. One of the three notify * methods must be invoked immediately after the asynchronous task has * finished performing the execution. One of the notify methods must be * provided with the ErrorStatus from the execution. If the asynchronous * task is not launched, one of the notify methods must be invoked with the * appropriate error. * * @param status Error status returned from launching the asynchronous task * (if the launch fails) or from the asynchronous task itself * (if the launch succeeds). Must be: * - NONE if the asynchronous execution was successful * - DEVICE_UNAVAILABLE if driver is offline or busy * - GENERAL_FAILURE if the asynchronous task resulted in an * unspecified error * - OUTPUT_INSUFFICIENT_SIZE if at least one output * operand buffer is not large enough to store the * corresponding output * - INVALID_ARGUMENT if one of the input arguments to * prepareModel is invalid * - MISSED_DEADLINE_* if the deadline could not be met * - RESOURCE_EXHAUSTED_* if the task was aborted by the driver * @param outputShapes A list of shape information of model output operands. * The index into "outputShapes" corresponds with to index * of the output operand in the Request outputs vector. * outputShapes must be empty unless the status is either * NONE or OUTPUT_INSUFFICIENT_SIZE. * @param timing Duration of execution. Unless MeasureTiming::YES was passed when * launching the execution and status is NONE, all times must * be reported as UINT64_MAX. A driver may choose to report * any time as UINT64_MAX, indicating that particular measurement is * not available. */ oneway notify_1_3(ErrorStatus status, vec<OutputShape> outputShapes, Timing timing); };
