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Create first version of NNAPI AIDL interface

Browse Source 
Bug: 161428342
Test: m android.hardware.neuralnetworks-update-api && m
Change-Id: Icf8123746def6f4c654dc3e413e5169ab020c8b4
Merged-In: Icf8123746def6f4c654dc3e413e5169ab020c8b4
(cherry picked from commit 8090245174)
This commit is contained in:
Lev Proleev
2020-07-20 20:01:54 +01:00
parent e5e67024c6
commit bfd12c66e4
78 changed files with 8484 additions and 0 deletions
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7
compatibility_matrices/compatibility_matrix.current.xml
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@@ -378,6 +378,13 @@
<regex-instance>.*</regex-instance>
</interface>
</hal>
<hal format="aidl" optional="true">
<name>android.hardware.neuralnetworks</name>
<interface>
<name>IDevice</name>
<regex-instance>.*</regex-instance>
</interface>
</hal>
<hal format="hidl" optional="true">
<name>android.hardware.nfc</name>
<version>1.2</version>

19
neuralnetworks/aidl/Android.bp Normal file
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@@ -0,0 +1,19 @@
aidl_interface {
name: "android.hardware.neuralnetworks",
vendor_available: true,
srcs: [
"android/hardware/neuralnetworks/*.aidl",
],
stability: "vintf",
imports: [
"android.hardware.common",
],
backend: {
java: {
enabled: false,
},
cpp: {
enabled: false,
},
},
}

22
neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/BufferDesc.aidl Normal file
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@@ -0,0 +1,22 @@
///////////////////////////////////////////////////////////////////////////////
// THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE. //
///////////////////////////////////////////////////////////////////////////////
// This file is a snapshot of an AIDL interface (or parcelable). Do not try to
// edit this file. It looks like you are doing that because you have modified
// an AIDL interface in a backward-incompatible way, e.g., deleting a function
// from an interface or a field from a parcelable and it broke the build. That
// breakage is intended.
//
// You must not make a backward incompatible changes to the AIDL files built
// with the aidl_interface module type with versions property set. The module
// type is used to build AIDL files in a way that they can be used across
// independently updatable components of the system. If a device is shipped
// with such a backward incompatible change, it has a high risk of breaking
// later when a module using the interface is updated, e.g., Mainline modules.
package android.hardware.neuralnetworks;
@VintfStability
parcelable BufferDesc {
int[] dimensions;
}

24
neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/BufferRole.aidl Normal file
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@@ -0,0 +1,24 @@
///////////////////////////////////////////////////////////////////////////////
// THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE. //
///////////////////////////////////////////////////////////////////////////////
// This file is a snapshot of an AIDL interface (or parcelable). Do not try to
// edit this file. It looks like you are doing that because you have modified
// an AIDL interface in a backward-incompatible way, e.g., deleting a function
// from an interface or a field from a parcelable and it broke the build. That
// breakage is intended.
//
// You must not make a backward incompatible changes to the AIDL files built
// with the aidl_interface module type with versions property set. The module
// type is used to build AIDL files in a way that they can be used across
// independently updatable components of the system. If a device is shipped
// with such a backward incompatible change, it has a high risk of breaking
// later when a module using the interface is updated, e.g., Mainline modules.
package android.hardware.neuralnetworks;
@VintfStability
parcelable BufferRole {
int modelIndex;
int ioIndex;
float frequency;
}

26
neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/Capabilities.aidl Normal file
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@@ -0,0 +1,26 @@
///////////////////////////////////////////////////////////////////////////////
// THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE. //
///////////////////////////////////////////////////////////////////////////////
// This file is a snapshot of an AIDL interface (or parcelable). Do not try to
// edit this file. It looks like you are doing that because you have modified
// an AIDL interface in a backward-incompatible way, e.g., deleting a function
// from an interface or a field from a parcelable and it broke the build. That
// breakage is intended.
//
// You must not make a backward incompatible changes to the AIDL files built
// with the aidl_interface module type with versions property set. The module
// type is used to build AIDL files in a way that they can be used across
// independently updatable components of the system. If a device is shipped
// with such a backward incompatible change, it has a high risk of breaking
// later when a module using the interface is updated, e.g., Mainline modules.
package android.hardware.neuralnetworks;
@VintfStability
parcelable Capabilities {
android.hardware.neuralnetworks.PerformanceInfo relaxedFloat32toFloat16PerformanceScalar;
android.hardware.neuralnetworks.PerformanceInfo relaxedFloat32toFloat16PerformanceTensor;
android.hardware.neuralnetworks.OperandPerformance[] operandPerformance;
android.hardware.neuralnetworks.PerformanceInfo ifPerformance;
android.hardware.neuralnetworks.PerformanceInfo whilePerformance;
}

24
neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/DataLocation.aidl Normal file
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@@ -0,0 +1,24 @@
///////////////////////////////////////////////////////////////////////////////
// THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE. //
///////////////////////////////////////////////////////////////////////////////
// This file is a snapshot of an AIDL interface (or parcelable). Do not try to
// edit this file. It looks like you are doing that because you have modified
// an AIDL interface in a backward-incompatible way, e.g., deleting a function
// from an interface or a field from a parcelable and it broke the build. That
// breakage is intended.
//
// You must not make a backward incompatible changes to the AIDL files built
// with the aidl_interface module type with versions property set. The module
// type is used to build AIDL files in a way that they can be used across
// independently updatable components of the system. If a device is shipped
// with such a backward incompatible change, it has a high risk of breaking
// later when a module using the interface is updated, e.g., Mainline modules.
package android.hardware.neuralnetworks;
@VintfStability
parcelable DataLocation {
int poolIndex;
long offset;
long length;
}

23
neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/DeviceBuffer.aidl Normal file
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@@ -0,0 +1,23 @@
///////////////////////////////////////////////////////////////////////////////
// THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE. //
///////////////////////////////////////////////////////////////////////////////
// This file is a snapshot of an AIDL interface (or parcelable). Do not try to
// edit this file. It looks like you are doing that because you have modified
// an AIDL interface in a backward-incompatible way, e.g., deleting a function
// from an interface or a field from a parcelable and it broke the build. That
// breakage is intended.
//
// You must not make a backward incompatible changes to the AIDL files built
// with the aidl_interface module type with versions property set. The module
// type is used to build AIDL files in a way that they can be used across
// independently updatable components of the system. If a device is shipped
// with such a backward incompatible change, it has a high risk of breaking
// later when a module using the interface is updated, e.g., Mainline modules.
package android.hardware.neuralnetworks;
@VintfStability
parcelable DeviceBuffer {
android.hardware.neuralnetworks.IBuffer buffer;
int token;
}

25
neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/DeviceType.aidl Normal file
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@@ -0,0 +1,25 @@
///////////////////////////////////////////////////////////////////////////////
// THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE. //
///////////////////////////////////////////////////////////////////////////////
// This file is a snapshot of an AIDL interface (or parcelable). Do not try to
// edit this file. It looks like you are doing that because you have modified
// an AIDL interface in a backward-incompatible way, e.g., deleting a function
// from an interface or a field from a parcelable and it broke the build. That
// breakage is intended.
//
// You must not make a backward incompatible changes to the AIDL files built
// with the aidl_interface module type with versions property set. The module
// type is used to build AIDL files in a way that they can be used across
// independently updatable components of the system. If a device is shipped
// with such a backward incompatible change, it has a high risk of breaking
// later when a module using the interface is updated, e.g., Mainline modules.
package android.hardware.neuralnetworks;
@Backing(type="int") @VintfStability
enum DeviceType {
OTHER = 1,
CPU = 2,
GPU = 3,
ACCELERATOR = 4,
}

30
neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/ErrorStatus.aidl Normal file
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@@ -0,0 +1,30 @@
///////////////////////////////////////////////////////////////////////////////
// THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE. //
///////////////////////////////////////////////////////////////////////////////
// This file is a snapshot of an AIDL interface (or parcelable). Do not try to
// edit this file. It looks like you are doing that because you have modified
// an AIDL interface in a backward-incompatible way, e.g., deleting a function
// from an interface or a field from a parcelable and it broke the build. That
// breakage is intended.
//
// You must not make a backward incompatible changes to the AIDL files built
// with the aidl_interface module type with versions property set. The module
// type is used to build AIDL files in a way that they can be used across
// independently updatable components of the system. If a device is shipped
// with such a backward incompatible change, it has a high risk of breaking
// later when a module using the interface is updated, e.g., Mainline modules.
package android.hardware.neuralnetworks;
@Backing(type="int") @VintfStability
enum ErrorStatus {
NONE = 0,
DEVICE_UNAVAILABLE = 1,
GENERAL_FAILURE = 2,
OUTPUT_INSUFFICIENT_SIZE = 3,
INVALID_ARGUMENT = 4,
MISSED_DEADLINE_TRANSIENT = 5,
MISSED_DEADLINE_PERSISTENT = 6,
RESOURCE_EXHAUSTED_TRANSIENT = 7,
RESOURCE_EXHAUSTED_PERSISTENT = 8,
}

24
neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/ExecutionPreference.aidl Normal file
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@@ -0,0 +1,24 @@
///////////////////////////////////////////////////////////////////////////////
// THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE. //
///////////////////////////////////////////////////////////////////////////////
// This file is a snapshot of an AIDL interface (or parcelable). Do not try to
// edit this file. It looks like you are doing that because you have modified
// an AIDL interface in a backward-incompatible way, e.g., deleting a function
// from an interface or a field from a parcelable and it broke the build. That
// breakage is intended.
//
// You must not make a backward incompatible changes to the AIDL files built
// with the aidl_interface module type with versions property set. The module
// type is used to build AIDL files in a way that they can be used across
// independently updatable components of the system. If a device is shipped
// with such a backward incompatible change, it has a high risk of breaking
// later when a module using the interface is updated, e.g., Mainline modules.
package android.hardware.neuralnetworks;
@Backing(type="int") @VintfStability
enum ExecutionPreference {
LOW_POWER = 0,
FAST_SINGLE_ANSWER = 1,
SUSTAINED_SPEED = 2,
}

24
neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/ExecutionResult.aidl Normal file
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@@ -0,0 +1,24 @@
///////////////////////////////////////////////////////////////////////////////
// THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE. //
///////////////////////////////////////////////////////////////////////////////
// This file is a snapshot of an AIDL interface (or parcelable). Do not try to
// edit this file. It looks like you are doing that because you have modified
// an AIDL interface in a backward-incompatible way, e.g., deleting a function
// from an interface or a field from a parcelable and it broke the build. That
// breakage is intended.
//
// You must not make a backward incompatible changes to the AIDL files built
// with the aidl_interface module type with versions property set. The module
// type is used to build AIDL files in a way that they can be used across
// independently updatable components of the system. If a device is shipped
// with such a backward incompatible change, it has a high risk of breaking
// later when a module using the interface is updated, e.g., Mainline modules.
package android.hardware.neuralnetworks;
@VintfStability
parcelable ExecutionResult {
boolean outputSufficientSize;
android.hardware.neuralnetworks.OutputShape[] outputShapes;
android.hardware.neuralnetworks.Timing timing;
}

23
neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/Extension.aidl Normal file
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@@ -0,0 +1,23 @@
///////////////////////////////////////////////////////////////////////////////
// THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE. //
///////////////////////////////////////////////////////////////////////////////
// This file is a snapshot of an AIDL interface (or parcelable). Do not try to
// edit this file. It looks like you are doing that because you have modified
// an AIDL interface in a backward-incompatible way, e.g., deleting a function
// from an interface or a field from a parcelable and it broke the build. That
// breakage is intended.
//
// You must not make a backward incompatible changes to the AIDL files built
// with the aidl_interface module type with versions property set. The module
// type is used to build AIDL files in a way that they can be used across
// independently updatable components of the system. If a device is shipped
// with such a backward incompatible change, it has a high risk of breaking
// later when a module using the interface is updated, e.g., Mainline modules.
package android.hardware.neuralnetworks;
@VintfStability
parcelable Extension {
String name;
android.hardware.neuralnetworks.ExtensionOperandTypeInformation[] operandTypes;
}

23
neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/ExtensionNameAndPrefix.aidl Normal file
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@@ -0,0 +1,23 @@
///////////////////////////////////////////////////////////////////////////////
// THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE. //
///////////////////////////////////////////////////////////////////////////////
// This file is a snapshot of an AIDL interface (or parcelable). Do not try to
// edit this file. It looks like you are doing that because you have modified
// an AIDL interface in a backward-incompatible way, e.g., deleting a function
// from an interface or a field from a parcelable and it broke the build. That
// breakage is intended.
//
// You must not make a backward incompatible changes to the AIDL files built
// with the aidl_interface module type with versions property set. The module
// type is used to build AIDL files in a way that they can be used across
// independently updatable components of the system. If a device is shipped
// with such a backward incompatible change, it has a high risk of breaking
// later when a module using the interface is updated, e.g., Mainline modules.
package android.hardware.neuralnetworks;
@VintfStability
parcelable ExtensionNameAndPrefix {
String name;
char prefix;
}

24
neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/ExtensionOperandTypeInformation.aidl Normal file
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@@ -0,0 +1,24 @@
///////////////////////////////////////////////////////////////////////////////
// THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE. //
///////////////////////////////////////////////////////////////////////////////
// This file is a snapshot of an AIDL interface (or parcelable). Do not try to
// edit this file. It looks like you are doing that because you have modified
// an AIDL interface in a backward-incompatible way, e.g., deleting a function
// from an interface or a field from a parcelable and it broke the build. That
// breakage is intended.
//
// You must not make a backward incompatible changes to the AIDL files built
// with the aidl_interface module type with versions property set. The module
// type is used to build AIDL files in a way that they can be used across
// independently updatable components of the system. If a device is shipped
// with such a backward incompatible change, it has a high risk of breaking
// later when a module using the interface is updated, e.g., Mainline modules.
package android.hardware.neuralnetworks;
@VintfStability
parcelable ExtensionOperandTypeInformation {
char type;
boolean isTensor;
int byteSize;
}

25
neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/FusedActivationFunc.aidl Normal file
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@@ -0,0 +1,25 @@
///////////////////////////////////////////////////////////////////////////////
// THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE. //
///////////////////////////////////////////////////////////////////////////////
// This file is a snapshot of an AIDL interface (or parcelable). Do not try to
// edit this file. It looks like you are doing that because you have modified
// an AIDL interface in a backward-incompatible way, e.g., deleting a function
// from an interface or a field from a parcelable and it broke the build. That
// breakage is intended.
//
// You must not make a backward incompatible changes to the AIDL files built
// with the aidl_interface module type with versions property set. The module
// type is used to build AIDL files in a way that they can be used across
// independently updatable components of the system. If a device is shipped
// with such a backward incompatible change, it has a high risk of breaking
// later when a module using the interface is updated, e.g., Mainline modules.
package android.hardware.neuralnetworks;
@Backing(type="int") @VintfStability
enum FusedActivationFunc {
NONE = 0,
RELU = 1,
RELU1 = 2,
RELU6 = 3,
}

23
neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/IBuffer.aidl Normal file
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@@ -0,0 +1,23 @@
///////////////////////////////////////////////////////////////////////////////
// THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE. //
///////////////////////////////////////////////////////////////////////////////
// This file is a snapshot of an AIDL interface (or parcelable). Do not try to
// edit this file. It looks like you are doing that because you have modified
// an AIDL interface in a backward-incompatible way, e.g., deleting a function
// from an interface or a field from a parcelable and it broke the build. That
// breakage is intended.
//
// You must not make a backward incompatible changes to the AIDL files built
// with the aidl_interface module type with versions property set. The module
// type is used to build AIDL files in a way that they can be used across
// independently updatable components of the system. If a device is shipped
// with such a backward incompatible change, it has a high risk of breaking
// later when a module using the interface is updated, e.g., Mainline modules.
package android.hardware.neuralnetworks;
@VintfStability
interface IBuffer {
void copyFrom(in android.hardware.neuralnetworks.Memory src, in int[] dimensions);
void copyTo(in android.hardware.neuralnetworks.Memory dst);
}

36
neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/IDevice.aidl Normal file
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@@ -0,0 +1,36 @@
///////////////////////////////////////////////////////////////////////////////
// THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE. //
///////////////////////////////////////////////////////////////////////////////
// This file is a snapshot of an AIDL interface (or parcelable). Do not try to
// edit this file. It looks like you are doing that because you have modified
// an AIDL interface in a backward-incompatible way, e.g., deleting a function
// from an interface or a field from a parcelable and it broke the build. That
// breakage is intended.
//
// You must not make a backward incompatible changes to the AIDL files built
// with the aidl_interface module type with versions property set. The module
// type is used to build AIDL files in a way that they can be used across
// independently updatable components of the system. If a device is shipped
// with such a backward incompatible change, it has a high risk of breaking
// later when a module using the interface is updated, e.g., Mainline modules.
package android.hardware.neuralnetworks;
@VintfStability
interface IDevice {
android.hardware.neuralnetworks.DeviceBuffer allocate(in android.hardware.neuralnetworks.BufferDesc desc, in android.hardware.neuralnetworks.IPreparedModelParcel[] preparedModels, in android.hardware.neuralnetworks.BufferRole[] inputRoles, in android.hardware.neuralnetworks.BufferRole[] outputRoles);
android.hardware.neuralnetworks.Capabilities getCapabilities();
android.hardware.neuralnetworks.NumberOfCacheFiles getNumberOfCacheFilesNeeded();
android.hardware.neuralnetworks.Extension[] getSupportedExtensions();
boolean[] getSupportedOperations(in android.hardware.neuralnetworks.Model model);
android.hardware.neuralnetworks.DeviceType getType();
String getVersionString();
void prepareModel(in android.hardware.neuralnetworks.Model model, in android.hardware.neuralnetworks.ExecutionPreference preference, in android.hardware.neuralnetworks.Priority priority, in long deadline, in ParcelFileDescriptor[] modelCache, in ParcelFileDescriptor[] dataCache, in byte[] token, in android.hardware.neuralnetworks.IPreparedModelCallback callback);
void prepareModelFromCache(in long deadline, in ParcelFileDescriptor[] modelCache, in ParcelFileDescriptor[] dataCache, in byte[] token, in android.hardware.neuralnetworks.IPreparedModelCallback callback);
const int BYTE_SIZE_OF_CACHE_TOKEN = 32;
const int MAX_NUMBER_OF_CACHE_FILES = 32;
const int EXTENSION_TYPE_HIGH_BITS_PREFIX = 15;
const int EXTENSION_TYPE_LOW_BITS_TYPE = 16;
const int OPERAND_TYPE_BASE_MAX = 65535;
const int OPERATION_TYPE_BASE_MAX = 65535;
}

22
neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/IFencedExecutionCallback.aidl Normal file
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@@ -0,0 +1,22 @@
///////////////////////////////////////////////////////////////////////////////
// THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE. //
///////////////////////////////////////////////////////////////////////////////
// This file is a snapshot of an AIDL interface (or parcelable). Do not try to
// edit this file. It looks like you are doing that because you have modified
// an AIDL interface in a backward-incompatible way, e.g., deleting a function
// from an interface or a field from a parcelable and it broke the build. That
// breakage is intended.
//
// You must not make a backward incompatible changes to the AIDL files built
// with the aidl_interface module type with versions property set. The module
// type is used to build AIDL files in a way that they can be used across
// independently updatable components of the system. If a device is shipped
// with such a backward incompatible change, it has a high risk of breaking
// later when a module using the interface is updated, e.g., Mainline modules.
package android.hardware.neuralnetworks;
@VintfStability
interface IFencedExecutionCallback {
android.hardware.neuralnetworks.ErrorStatus getExecutionInfo(out android.hardware.neuralnetworks.Timing timingLaunched, out android.hardware.neuralnetworks.Timing timingFenced);
}

25
neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/IPreparedModel.aidl Normal file
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@@ -0,0 +1,25 @@
///////////////////////////////////////////////////////////////////////////////
// THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE. //
///////////////////////////////////////////////////////////////////////////////
// This file is a snapshot of an AIDL interface (or parcelable). Do not try to
// edit this file. It looks like you are doing that because you have modified
// an AIDL interface in a backward-incompatible way, e.g., deleting a function
// from an interface or a field from a parcelable and it broke the build. That
// breakage is intended.
//
// You must not make a backward incompatible changes to the AIDL files built
// with the aidl_interface module type with versions property set. The module
// type is used to build AIDL files in a way that they can be used across
// independently updatable components of the system. If a device is shipped
// with such a backward incompatible change, it has a high risk of breaking
// later when a module using the interface is updated, e.g., Mainline modules.
package android.hardware.neuralnetworks;
@VintfStability
interface IPreparedModel {
android.hardware.neuralnetworks.ExecutionResult executeSynchronously(in android.hardware.neuralnetworks.Request request, in boolean measureTiming, in long deadline, in long loopTimeoutDuration);
android.hardware.neuralnetworks.IFencedExecutionCallback executeFenced(in android.hardware.neuralnetworks.Request request, in ParcelFileDescriptor[] waitFor, in boolean measureTiming, in long deadline, in long loopTimeoutDuration, in long duration, out @nullable ParcelFileDescriptor syncFence);
const long DEFAULT_LOOP_TIMEOUT_DURATION_NS = 2000000000;
const long MAXIMUM_LOOP_TIMEOUT_DURATION_NS = 15000000000;
}

22
neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/IPreparedModelCallback.aidl Normal file
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@@ -0,0 +1,22 @@
///////////////////////////////////////////////////////////////////////////////
// THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE. //
///////////////////////////////////////////////////////////////////////////////
// This file is a snapshot of an AIDL interface (or parcelable). Do not try to
// edit this file. It looks like you are doing that because you have modified
// an AIDL interface in a backward-incompatible way, e.g., deleting a function
// from an interface or a field from a parcelable and it broke the build. That
// breakage is intended.
//
// You must not make a backward incompatible changes to the AIDL files built
// with the aidl_interface module type with versions property set. The module
// type is used to build AIDL files in a way that they can be used across
// independently updatable components of the system. If a device is shipped
// with such a backward incompatible change, it has a high risk of breaking
// later when a module using the interface is updated, e.g., Mainline modules.
package android.hardware.neuralnetworks;
@VintfStability
interface IPreparedModelCallback {
void notify(in android.hardware.neuralnetworks.ErrorStatus status, in android.hardware.neuralnetworks.IPreparedModel preparedModel);
}

22
neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/IPreparedModelParcel.aidl Normal file
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@@ -0,0 +1,22 @@
///////////////////////////////////////////////////////////////////////////////
// THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE. //
///////////////////////////////////////////////////////////////////////////////
// This file is a snapshot of an AIDL interface (or parcelable). Do not try to
// edit this file. It looks like you are doing that because you have modified
// an AIDL interface in a backward-incompatible way, e.g., deleting a function
// from an interface or a field from a parcelable and it broke the build. That
// breakage is intended.
//
// You must not make a backward incompatible changes to the AIDL files built
// with the aidl_interface module type with versions property set. The module
// type is used to build AIDL files in a way that they can be used across
// independently updatable components of the system. If a device is shipped
// with such a backward incompatible change, it has a high risk of breaking
// later when a module using the interface is updated, e.g., Mainline modules.
package android.hardware.neuralnetworks;
@VintfStability
parcelable IPreparedModelParcel {
android.hardware.neuralnetworks.IPreparedModel preparedModel;
}

24
neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/Memory.aidl Normal file
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///////////////////////////////////////////////////////////////////////////////
// THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE. //
///////////////////////////////////////////////////////////////////////////////
// This file is a snapshot of an AIDL interface (or parcelable). Do not try to
// edit this file. It looks like you are doing that because you have modified
// an AIDL interface in a backward-incompatible way, e.g., deleting a function
// from an interface or a field from a parcelable and it broke the build. That
// breakage is intended.
//
// You must not make a backward incompatible changes to the AIDL files built
// with the aidl_interface module type with versions property set. The module
// type is used to build AIDL files in a way that they can be used across
// independently updatable components of the system. If a device is shipped
// with such a backward incompatible change, it has a high risk of breaking
// later when a module using the interface is updated, e.g., Mainline modules.
package android.hardware.neuralnetworks;
@VintfStability
parcelable Memory {
android.hardware.common.NativeHandle handle;
long size;
String name;
}

27
neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/Model.aidl Normal file
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///////////////////////////////////////////////////////////////////////////////
// THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE. //
///////////////////////////////////////////////////////////////////////////////
// This file is a snapshot of an AIDL interface (or parcelable). Do not try to
// edit this file. It looks like you are doing that because you have modified
// an AIDL interface in a backward-incompatible way, e.g., deleting a function
// from an interface or a field from a parcelable and it broke the build. That
// breakage is intended.
//
// You must not make a backward incompatible changes to the AIDL files built
// with the aidl_interface module type with versions property set. The module
// type is used to build AIDL files in a way that they can be used across
// independently updatable components of the system. If a device is shipped
// with such a backward incompatible change, it has a high risk of breaking
// later when a module using the interface is updated, e.g., Mainline modules.
package android.hardware.neuralnetworks;
@VintfStability
parcelable Model {
android.hardware.neuralnetworks.Subgraph main;
android.hardware.neuralnetworks.Subgraph[] referenced;
byte[] operandValues;
android.hardware.neuralnetworks.Memory[] pools;
boolean relaxComputationFloat32toFloat16;
android.hardware.neuralnetworks.ExtensionNameAndPrefix[] extensionNameToPrefix;
}

23
neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/NumberOfCacheFiles.aidl Normal file
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///////////////////////////////////////////////////////////////////////////////
// THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE. //
///////////////////////////////////////////////////////////////////////////////
// This file is a snapshot of an AIDL interface (or parcelable). Do not try to
// edit this file. It looks like you are doing that because you have modified
// an AIDL interface in a backward-incompatible way, e.g., deleting a function
// from an interface or a field from a parcelable and it broke the build. That
// breakage is intended.
//
// You must not make a backward incompatible changes to the AIDL files built
// with the aidl_interface module type with versions property set. The module
// type is used to build AIDL files in a way that they can be used across
// independently updatable components of the system. If a device is shipped
// with such a backward incompatible change, it has a high risk of breaking
// later when a module using the interface is updated, e.g., Mainline modules.
package android.hardware.neuralnetworks;
@VintfStability
parcelable NumberOfCacheFiles {
int numModelCache;
int numDataCache;
}

28
neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/Operand.aidl Normal file
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///////////////////////////////////////////////////////////////////////////////
// THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE. //
///////////////////////////////////////////////////////////////////////////////
// This file is a snapshot of an AIDL interface (or parcelable). Do not try to
// edit this file. It looks like you are doing that because you have modified
// an AIDL interface in a backward-incompatible way, e.g., deleting a function
// from an interface or a field from a parcelable and it broke the build. That
// breakage is intended.
//
// You must not make a backward incompatible changes to the AIDL files built
// with the aidl_interface module type with versions property set. The module
// type is used to build AIDL files in a way that they can be used across
// independently updatable components of the system. If a device is shipped
// with such a backward incompatible change, it has a high risk of breaking
// later when a module using the interface is updated, e.g., Mainline modules.
package android.hardware.neuralnetworks;
@VintfStability
parcelable Operand {
android.hardware.neuralnetworks.OperandType type;
int[] dimensions;
float scale;
int zeroPoint;
android.hardware.neuralnetworks.OperandLifeTime lifetime;
android.hardware.neuralnetworks.DataLocation location;
@nullable android.hardware.neuralnetworks.OperandExtraParams extraParams;
}

23
neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/OperandExtraParams.aidl Normal file
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@@ -0,0 +1,23 @@
///////////////////////////////////////////////////////////////////////////////
// THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE. //
///////////////////////////////////////////////////////////////////////////////
// This file is a snapshot of an AIDL interface (or parcelable). Do not try to
// edit this file. It looks like you are doing that because you have modified
// an AIDL interface in a backward-incompatible way, e.g., deleting a function
// from an interface or a field from a parcelable and it broke the build. That
// breakage is intended.
//
// You must not make a backward incompatible changes to the AIDL files built
// with the aidl_interface module type with versions property set. The module
// type is used to build AIDL files in a way that they can be used across
// independently updatable components of the system. If a device is shipped
// with such a backward incompatible change, it has a high risk of breaking
// later when a module using the interface is updated, e.g., Mainline modules.
package android.hardware.neuralnetworks;
@VintfStability
union OperandExtraParams {
android.hardware.neuralnetworks.SymmPerChannelQuantParams channelQuant;
byte[] extension;
}

28
neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/OperandLifeTime.aidl Normal file
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///////////////////////////////////////////////////////////////////////////////
// THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE. //
///////////////////////////////////////////////////////////////////////////////
// This file is a snapshot of an AIDL interface (or parcelable). Do not try to
// edit this file. It looks like you are doing that because you have modified
// an AIDL interface in a backward-incompatible way, e.g., deleting a function
// from an interface or a field from a parcelable and it broke the build. That
// breakage is intended.
//
// You must not make a backward incompatible changes to the AIDL files built
// with the aidl_interface module type with versions property set. The module
// type is used to build AIDL files in a way that they can be used across
// independently updatable components of the system. If a device is shipped
// with such a backward incompatible change, it has a high risk of breaking
// later when a module using the interface is updated, e.g., Mainline modules.
package android.hardware.neuralnetworks;
@Backing(type="int") @VintfStability
enum OperandLifeTime {
TEMPORARY_VARIABLE = 0,
SUBGRAPH_INPUT = 1,
SUBGRAPH_OUTPUT = 2,
CONSTANT_COPY = 3,
CONSTANT_POOL = 4,
NO_VALUE = 5,
SUBGRAPH = 6,
}

23
neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/OperandPerformance.aidl Normal file
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///////////////////////////////////////////////////////////////////////////////
// THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE. //
///////////////////////////////////////////////////////////////////////////////
// This file is a snapshot of an AIDL interface (or parcelable). Do not try to
// edit this file. It looks like you are doing that because you have modified
// an AIDL interface in a backward-incompatible way, e.g., deleting a function
// from an interface or a field from a parcelable and it broke the build. That
// breakage is intended.
//
// You must not make a backward incompatible changes to the AIDL files built
// with the aidl_interface module type with versions property set. The module
// type is used to build AIDL files in a way that they can be used across
// independently updatable components of the system. If a device is shipped
// with such a backward incompatible change, it has a high risk of breaking
// later when a module using the interface is updated, e.g., Mainline modules.
package android.hardware.neuralnetworks;
@VintfStability
parcelable OperandPerformance {
android.hardware.neuralnetworks.OperandType type;
android.hardware.neuralnetworks.PerformanceInfo info;
}

37
neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/OperandType.aidl Normal file
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///////////////////////////////////////////////////////////////////////////////
// THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE. //
///////////////////////////////////////////////////////////////////////////////
// This file is a snapshot of an AIDL interface (or parcelable). Do not try to
// edit this file. It looks like you are doing that because you have modified
// an AIDL interface in a backward-incompatible way, e.g., deleting a function
// from an interface or a field from a parcelable and it broke the build. That
// breakage is intended.
//
// You must not make a backward incompatible changes to the AIDL files built
// with the aidl_interface module type with versions property set. The module
// type is used to build AIDL files in a way that they can be used across
// independently updatable components of the system. If a device is shipped
// with such a backward incompatible change, it has a high risk of breaking
// later when a module using the interface is updated, e.g., Mainline modules.
package android.hardware.neuralnetworks;
@Backing(type="int") @VintfStability
enum OperandType {
FLOAT32 = 0,
INT32 = 1,
UINT32 = 2,
TENSOR_FLOAT32 = 3,
TENSOR_INT32 = 4,
TENSOR_QUANT8_ASYMM = 5,
BOOL = 6,
TENSOR_QUANT16_SYMM = 7,
TENSOR_FLOAT16 = 8,
TENSOR_BOOL8 = 9,
FLOAT16 = 10,
TENSOR_QUANT8_SYMM_PER_CHANNEL = 11,
TENSOR_QUANT16_ASYMM = 12,
TENSOR_QUANT8_SYMM = 13,
TENSOR_QUANT8_ASYMM_SIGNED = 14,
SUBGRAPH = 15,
}

24
neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/Operation.aidl Normal file
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///////////////////////////////////////////////////////////////////////////////
// THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE. //
///////////////////////////////////////////////////////////////////////////////
// This file is a snapshot of an AIDL interface (or parcelable). Do not try to
// edit this file. It looks like you are doing that because you have modified
// an AIDL interface in a backward-incompatible way, e.g., deleting a function
// from an interface or a field from a parcelable and it broke the build. That
// breakage is intended.
//
// You must not make a backward incompatible changes to the AIDL files built
// with the aidl_interface module type with versions property set. The module
// type is used to build AIDL files in a way that they can be used across
// independently updatable components of the system. If a device is shipped
// with such a backward incompatible change, it has a high risk of breaking
// later when a module using the interface is updated, e.g., Mainline modules.
package android.hardware.neuralnetworks;
@VintfStability
parcelable Operation {
android.hardware.neuralnetworks.OperationType type;
int[] inputs;
int[] outputs;
}

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///////////////////////////////////////////////////////////////////////////////
// THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE. //
///////////////////////////////////////////////////////////////////////////////
// This file is a snapshot of an AIDL interface (or parcelable). Do not try to
// edit this file. It looks like you are doing that because you have modified
// an AIDL interface in a backward-incompatible way, e.g., deleting a function
// from an interface or a field from a parcelable and it broke the build. That
// breakage is intended.
//
// You must not make a backward incompatible changes to the AIDL files built
// with the aidl_interface module type with versions property set. The module
// type is used to build AIDL files in a way that they can be used across
// independently updatable components of the system. If a device is shipped
// with such a backward incompatible change, it has a high risk of breaking
// later when a module using the interface is updated, e.g., Mainline modules.
package android.hardware.neuralnetworks;
@Backing(type="int") @VintfStability
enum OperationType {
ADD = 0,
AVERAGE_POOL_2D = 1,
CONCATENATION = 2,
CONV_2D = 3,
DEPTHWISE_CONV_2D = 4,
DEPTH_TO_SPACE = 5,
DEQUANTIZE = 6,
EMBEDDING_LOOKUP = 7,
FLOOR = 8,
FULLY_CONNECTED = 9,
HASHTABLE_LOOKUP = 10,
L2_NORMALIZATION = 11,
L2_POOL_2D = 12,
LOCAL_RESPONSE_NORMALIZATION = 13,
LOGISTIC = 14,
LSH_PROJECTION = 15,
LSTM = 16,
MAX_POOL_2D = 17,
MUL = 18,
RELU = 19,
RELU1 = 20,
RELU6 = 21,
RESHAPE = 22,
RESIZE_BILINEAR = 23,
RNN = 24,
SOFTMAX = 25,
SPACE_TO_DEPTH = 26,
SVDF = 27,
TANH = 28,
BATCH_TO_SPACE_ND = 29,
DIV = 30,
MEAN = 31,
PAD = 32,
SPACE_TO_BATCH_ND = 33,
SQUEEZE = 34,
STRIDED_SLICE = 35,
SUB = 36,
TRANSPOSE = 37,
ABS = 38,
ARGMAX = 39,
ARGMIN = 40,
AXIS_ALIGNED_BBOX_TRANSFORM = 41,
BIDIRECTIONAL_SEQUENCE_LSTM = 42,
BIDIRECTIONAL_SEQUENCE_RNN = 43,
BOX_WITH_NMS_LIMIT = 44,
CAST = 45,
CHANNEL_SHUFFLE = 46,
DETECTION_POSTPROCESSING = 47,
EQUAL = 48,
EXP = 49,
EXPAND_DIMS = 50,
GATHER = 51,
GENERATE_PROPOSALS = 52,
GREATER = 53,
GREATER_EQUAL = 54,
GROUPED_CONV_2D = 55,
HEATMAP_MAX_KEYPOINT = 56,
INSTANCE_NORMALIZATION = 57,
LESS = 58,
LESS_EQUAL = 59,
LOG = 60,
LOGICAL_AND = 61,
LOGICAL_NOT = 62,
LOGICAL_OR = 63,
LOG_SOFTMAX = 64,
MAXIMUM = 65,
MINIMUM = 66,
NEG = 67,
NOT_EQUAL = 68,
PAD_V2 = 69,
POW = 70,
PRELU = 71,
QUANTIZE = 72,
QUANTIZED_16BIT_LSTM = 73,
RANDOM_MULTINOMIAL = 74,
REDUCE_ALL = 75,
REDUCE_ANY = 76,
REDUCE_MAX = 77,
REDUCE_MIN = 78,
REDUCE_PROD = 79,
REDUCE_SUM = 80,
ROI_ALIGN = 81,
ROI_POOLING = 82,
RSQRT = 83,
SELECT = 84,
SIN = 85,
SLICE = 86,
SPLIT = 87,
SQRT = 88,
TILE = 89,
TOPK_V2 = 90,
TRANSPOSE_CONV_2D = 91,
UNIDIRECTIONAL_SEQUENCE_LSTM = 92,
UNIDIRECTIONAL_SEQUENCE_RNN = 93,
RESIZE_NEAREST_NEIGHBOR = 94,
QUANTIZED_LSTM = 95,
IF = 96,
WHILE = 97,
ELU = 98,
HARD_SWISH = 99,
FILL = 100,
RANK = 101,
}

23
neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/OutputShape.aidl Normal file
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///////////////////////////////////////////////////////////////////////////////
// THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE. //
///////////////////////////////////////////////////////////////////////////////
// This file is a snapshot of an AIDL interface (or parcelable). Do not try to
// edit this file. It looks like you are doing that because you have modified
// an AIDL interface in a backward-incompatible way, e.g., deleting a function
// from an interface or a field from a parcelable and it broke the build. That
// breakage is intended.
//
// You must not make a backward incompatible changes to the AIDL files built
// with the aidl_interface module type with versions property set. The module
// type is used to build AIDL files in a way that they can be used across
// independently updatable components of the system. If a device is shipped
// with such a backward incompatible change, it has a high risk of breaking
// later when a module using the interface is updated, e.g., Mainline modules.
package android.hardware.neuralnetworks;
@VintfStability
parcelable OutputShape {
int[] dimensions;
boolean isSufficient;
}

23
neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/PerformanceInfo.aidl Normal file
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///////////////////////////////////////////////////////////////////////////////
// THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE. //
///////////////////////////////////////////////////////////////////////////////
// This file is a snapshot of an AIDL interface (or parcelable). Do not try to
// edit this file. It looks like you are doing that because you have modified
// an AIDL interface in a backward-incompatible way, e.g., deleting a function
// from an interface or a field from a parcelable and it broke the build. That
// breakage is intended.
//
// You must not make a backward incompatible changes to the AIDL files built
// with the aidl_interface module type with versions property set. The module
// type is used to build AIDL files in a way that they can be used across
// independently updatable components of the system. If a device is shipped
// with such a backward incompatible change, it has a high risk of breaking
// later when a module using the interface is updated, e.g., Mainline modules.
package android.hardware.neuralnetworks;
@VintfStability
parcelable PerformanceInfo {
float execTime;
float powerUsage;
}

24
neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/Priority.aidl Normal file
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///////////////////////////////////////////////////////////////////////////////
// THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE. //
///////////////////////////////////////////////////////////////////////////////
// This file is a snapshot of an AIDL interface (or parcelable). Do not try to
// edit this file. It looks like you are doing that because you have modified
// an AIDL interface in a backward-incompatible way, e.g., deleting a function
// from an interface or a field from a parcelable and it broke the build. That
// breakage is intended.
//
// You must not make a backward incompatible changes to the AIDL files built
// with the aidl_interface module type with versions property set. The module
// type is used to build AIDL files in a way that they can be used across
// independently updatable components of the system. If a device is shipped
// with such a backward incompatible change, it has a high risk of breaking
// later when a module using the interface is updated, e.g., Mainline modules.
package android.hardware.neuralnetworks;
@Backing(type="int") @VintfStability
enum Priority {
LOW = 0,
MEDIUM = 1,
HIGH = 2,
}

24
neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/Request.aidl Normal file
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///////////////////////////////////////////////////////////////////////////////
// THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE. //
///////////////////////////////////////////////////////////////////////////////
// This file is a snapshot of an AIDL interface (or parcelable). Do not try to
// edit this file. It looks like you are doing that because you have modified
// an AIDL interface in a backward-incompatible way, e.g., deleting a function
// from an interface or a field from a parcelable and it broke the build. That
// breakage is intended.
//
// You must not make a backward incompatible changes to the AIDL files built
// with the aidl_interface module type with versions property set. The module
// type is used to build AIDL files in a way that they can be used across
// independently updatable components of the system. If a device is shipped
// with such a backward incompatible change, it has a high risk of breaking
// later when a module using the interface is updated, e.g., Mainline modules.
package android.hardware.neuralnetworks;
@VintfStability
parcelable Request {
android.hardware.neuralnetworks.RequestArgument[] inputs;
android.hardware.neuralnetworks.RequestArgument[] outputs;
android.hardware.neuralnetworks.RequestMemoryPool[] pools;
}

24
neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/RequestArgument.aidl Normal file
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///////////////////////////////////////////////////////////////////////////////
// THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE. //
///////////////////////////////////////////////////////////////////////////////
// This file is a snapshot of an AIDL interface (or parcelable). Do not try to
// edit this file. It looks like you are doing that because you have modified
// an AIDL interface in a backward-incompatible way, e.g., deleting a function
// from an interface or a field from a parcelable and it broke the build. That
// breakage is intended.
//
// You must not make a backward incompatible changes to the AIDL files built
// with the aidl_interface module type with versions property set. The module
// type is used to build AIDL files in a way that they can be used across
// independently updatable components of the system. If a device is shipped
// with such a backward incompatible change, it has a high risk of breaking
// later when a module using the interface is updated, e.g., Mainline modules.
package android.hardware.neuralnetworks;
@VintfStability
parcelable RequestArgument {
boolean hasNoValue;
android.hardware.neuralnetworks.DataLocation location;
int[] dimensions;
}

23
neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/RequestMemoryPool.aidl Normal file
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///////////////////////////////////////////////////////////////////////////////
// THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE. //
///////////////////////////////////////////////////////////////////////////////
// This file is a snapshot of an AIDL interface (or parcelable). Do not try to
// edit this file. It looks like you are doing that because you have modified
// an AIDL interface in a backward-incompatible way, e.g., deleting a function
// from an interface or a field from a parcelable and it broke the build. That
// breakage is intended.
//
// You must not make a backward incompatible changes to the AIDL files built
// with the aidl_interface module type with versions property set. The module
// type is used to build AIDL files in a way that they can be used across
// independently updatable components of the system. If a device is shipped
// with such a backward incompatible change, it has a high risk of breaking
// later when a module using the interface is updated, e.g., Mainline modules.
package android.hardware.neuralnetworks;
@VintfStability
union RequestMemoryPool {
android.hardware.neuralnetworks.Memory pool;
int token;
}

25
neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/Subgraph.aidl Normal file
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///////////////////////////////////////////////////////////////////////////////
// THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE. //
///////////////////////////////////////////////////////////////////////////////
// This file is a snapshot of an AIDL interface (or parcelable). Do not try to
// edit this file. It looks like you are doing that because you have modified
// an AIDL interface in a backward-incompatible way, e.g., deleting a function
// from an interface or a field from a parcelable and it broke the build. That
// breakage is intended.
//
// You must not make a backward incompatible changes to the AIDL files built
// with the aidl_interface module type with versions property set. The module
// type is used to build AIDL files in a way that they can be used across
// independently updatable components of the system. If a device is shipped
// with such a backward incompatible change, it has a high risk of breaking
// later when a module using the interface is updated, e.g., Mainline modules.
package android.hardware.neuralnetworks;
@VintfStability
parcelable Subgraph {
android.hardware.neuralnetworks.Operand[] operands;
android.hardware.neuralnetworks.Operation[] operations;
int[] inputIndexes;
int[] outputIndexes;
}

23
neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/SymmPerChannelQuantParams.aidl Normal file
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@@ -0,0 +1,23 @@
///////////////////////////////////////////////////////////////////////////////
// THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE. //
///////////////////////////////////////////////////////////////////////////////
// This file is a snapshot of an AIDL interface (or parcelable). Do not try to
// edit this file. It looks like you are doing that because you have modified
// an AIDL interface in a backward-incompatible way, e.g., deleting a function
// from an interface or a field from a parcelable and it broke the build. That
// breakage is intended.
//
// You must not make a backward incompatible changes to the AIDL files built
// with the aidl_interface module type with versions property set. The module
// type is used to build AIDL files in a way that they can be used across
// independently updatable components of the system. If a device is shipped
// with such a backward incompatible change, it has a high risk of breaking
// later when a module using the interface is updated, e.g., Mainline modules.
package android.hardware.neuralnetworks;
@VintfStability
parcelable SymmPerChannelQuantParams {
float[] scales;
int channelDim;
}

23
neuralnetworks/aidl/aidl_api/android.hardware.neuralnetworks/current/android/hardware/neuralnetworks/Timing.aidl Normal file
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///////////////////////////////////////////////////////////////////////////////
// THIS FILE IS IMMUTABLE. DO NOT EDIT IN ANY CASE. //
///////////////////////////////////////////////////////////////////////////////
// This file is a snapshot of an AIDL interface (or parcelable). Do not try to
// edit this file. It looks like you are doing that because you have modified
// an AIDL interface in a backward-incompatible way, e.g., deleting a function
// from an interface or a field from a parcelable and it broke the build. That
// breakage is intended.
//
// You must not make a backward incompatible changes to the AIDL files built
// with the aidl_interface module type with versions property set. The module
// type is used to build AIDL files in a way that they can be used across
// independently updatable components of the system. If a device is shipped
// with such a backward incompatible change, it has a high risk of breaking
// later when a module using the interface is updated, e.g., Mainline modules.
package android.hardware.neuralnetworks;
@VintfStability
parcelable Timing {
long timeOnDevice;
long timeInDriver;
}

31
neuralnetworks/aidl/android/hardware/neuralnetworks/BufferDesc.aidl Normal file
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/*
* Copyright (C) 2020 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;
/**
* A buffer descriptor. Describes the properties of a buffer.
*/
@VintfStability
parcelable BufferDesc {
/**
* Dimensions of the buffer. May have unknown dimensions or rank. A buffer with some number of
* unspecified dimensions is represented by setting each unspecified dimension to 0. A buffer
* with unspecified rank is represented by providing an empty dimensions vector.
*/
int[] dimensions;
}

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/*
* Copyright (C) 2020 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;
/**
* Describes a role of an input or output to a prepared model.
*/
@VintfStability
parcelable BufferRole {
/**
* The index of the IPreparedModel within the "preparedModel" argument passed in
* IDevice::allocate.
*/
int modelIndex;
/**
* The index of the input or output operand.
*/
int ioIndex;
/**
* A floating-point value within the range (0.0, 1.0]. Describes how likely the buffer is to be
* used in the specified role. This is provided as a hint to optimize the case when multiple
* roles prefer different buffer locations or data layouts.
*/
float frequency;
}

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/*
* Copyright (C) 2020 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;
import android.hardware.neuralnetworks.OperandPerformance;
import android.hardware.neuralnetworks.PerformanceInfo;
/**
* The capabilities of a driver.
*
* This represents performance of non-extension operations.
*
* Performance of an operation other than {@link OperationType::IF} and {@link OperationType::WHILE}
* comes from the type of its first operand.
*/
@VintfStability
parcelable Capabilities {
/**
* Driver performance when operating on float32 data but performing calculations with range
* and/or precision as low as that of the IEEE 754 16-bit floating-point format.
*/
PerformanceInfo relaxedFloat32toFloat16PerformanceScalar;
PerformanceInfo relaxedFloat32toFloat16PerformanceTensor;
/**
* Performance by operand type. Must be sorted by OperandType.
*
* If a particular {@link OperandType} is not present in operandPerformance, its performance is
* treated as { .execTime = FLT_MAX, .powerUsage = FLT_MAX }.
*
* Performance does not apply to {@link OperandType::SUBGRAPH}, and a driver must not report
* operand performance for {@link OperandType::SUBGRAPH}.
*/
OperandPerformance[] operandPerformance;
/**
* Performance of an {@link OperationType::IF} operation is the sum of
* {@link Capabilities::ifPerformance} and the mean of performance for the two branch subgraphs,
* where performance for a subgraph is the sum of the performance of all operations within the
* subgraph.
*/
PerformanceInfo ifPerformance;
/**
* Performance of a {@link OperationType::WHILE} operation is the sum of
* {@link Capabilities::whilePerformance}, performance for the condition subgraph and
* performance for the body subgraph, where performance for a subgraph is the sum of the
* performance of all operations within the subgraph.
*/
PerformanceInfo whilePerformance;
}

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/*
* Copyright (C) 2020 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;
/**
* Describes the location of a data object.
*/
@VintfStability
parcelable DataLocation {
/**
* The index of the memory pool where this location is found.
*/
int poolIndex;
/**
* Offset in bytes from the start of the pool.
*/
long offset;
/**
* The length of the data in bytes.
*/
long length;
}

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/*
* Copyright (C) 2020 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;
import android.hardware.neuralnetworks.IBuffer;
/**
* A type that is used to represent a driver allocated buffer and token that corresponds to it.
*/
@VintfStability
parcelable DeviceBuffer {
/**
* An IBuffer object used to interact with the device allocated buffer.
*/
IBuffer buffer;
/**
* A positive token identifying the allocated buffer. The token is provided when referencing the
* buffer as one of the memory pools in the request of an execution. The token must not collide
* with the tokens of other IBuffer objects that are currently alive in the same driver service.
*/
int token;
}

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/*
* Copyright (C) 2020 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;
/**
* Device types.
*
* The type of NNAPI device.
*/
@VintfStability
@Backing(type="int")
enum DeviceType {
/**
* The device does not fall into any category below.
*/
OTHER = 1,
/**
* The device runs NNAPI models on single or multi-core CPU.
*/
CPU = 2,
/**
* The device can run NNAPI models and also accelerate graphics APIs such as OpenGL ES and
* Vulkan.
*/
GPU = 3,
/**
* Dedicated accelerator for Machine Learning workloads.
*/
ACCELERATOR = 4,
}

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/*
* Copyright (C) 2020 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;
/**
* Calls to neural networks AIDL interfaces may return a ServiceSpecificException with the following
* error codes.
*/
@VintfStability
@Backing(type="int")
enum ErrorStatus {
NONE,
DEVICE_UNAVAILABLE,
GENERAL_FAILURE,
OUTPUT_INSUFFICIENT_SIZE,
INVALID_ARGUMENT,
/**
* Failure because a deadline could not be met for a task, but future deadlines may still be met
* for the same task after a short delay.
*/
MISSED_DEADLINE_TRANSIENT,
/**
* Failure because a deadline could not be met for a task, and future deadlines will likely also
* not be met for the same task even after a short delay.
*/
MISSED_DEADLINE_PERSISTENT,
/**
* Failure because of a resource limitation within the driver, but future calls for the same
* task may still succeed after a short delay.
*/
RESOURCE_EXHAUSTED_TRANSIENT,
/**
* Failure because of a resource limitation within the driver, and future calls for the same
* task will likely also fail even after a short delay.
*/
RESOURCE_EXHAUSTED_PERSISTENT,
}

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/*
* Copyright (C) 2020 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;
/**
* Execution preferences.
*/
@VintfStability
@Backing(type="int")
enum ExecutionPreference {
/**
* Prefer executing in a way that minimizes battery drain. This is desirable for compilations
* that will be executed often.
*/
LOW_POWER,
/**
* Prefer returning a single answer as fast as possible, even if this causes more power
* consumption.
*/
FAST_SINGLE_ANSWER,
/**
* Prefer maximizing the throughput of successive frames, for example when processing successive
* frames coming from the camera.
*/
SUSTAINED_SPEED,
}

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/*
* Copyright (C) 2021 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;
import android.hardware.neuralnetworks.ErrorStatus;
import android.hardware.neuralnetworks.OutputShape;
import android.hardware.neuralnetworks.Timing;
/**
* A result from running a synchronous execution of a prepared model.
*/
@VintfStability
parcelable ExecutionResult {
/**
* A value of "true" indicates that the execution was successful. A value of "false" indicates
* the execution failed because at least one output operand buffer was not large enough to store
* the corresponding output.
*/
boolean outputSufficientSize;
/**
* A list of shape information of model output operands. The index in "outputShapes" corresponds
* to the index of the output operand in the Request outputs vector.
*/
OutputShape[] outputShapes;
/**
* Duration of execution. Unless measure is true and the execution is successful, all times must
* be reported as -1. A driver may choose to report any time as -1, indicating that measurement
* is not available.
*/
Timing timing;
}

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/*
* Copyright (C) 2020 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;
import android.hardware.neuralnetworks.ExtensionOperandTypeInformation;
/**
* Information about an extension.
*/
@VintfStability
parcelable Extension {
/**
* The extension name.
*
* The name must consist of lowercase latin letters, numbers, periods, and underscore signs. The
* name must contain at least one period.
*
* The name must start with the reverse domain name of the vendor.
*
* Example: com.google.test_extension
*/
String name;
/**
* Information about operand types defined by the extension.
*/
ExtensionOperandTypeInformation[] operandTypes;
}

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/*
* Copyright (C) 2020 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;
/**
* The mapping between extension names and prefixes of operand and operation type values.
*
* An operand or operation whose numeric type value is above {@link IDevice::OPERAND_TYPE_BASE_MAX}
* or {@link IDevice::OPERATION_TYPE_BASE_MAX} respectively should be interpreted as an extension
* operand/operation. The low {@link IDevice::EXTENSION_TYPE_LOW_BITS_TYPE} bits of the value
* correspond to the type ID within the extension and the high
* {@link IDevice::EXTENSION_TYPE_HIGH_BITS_PREFIX} bits encode the "prefix", which maps uniquely to
* the extension name. The sign bit is always 0.
*
* For example, if a model contains an operation whose value is 0x7AAABBBB and extensionNameToPrefix
* contains an entry with prefix=0x7AAA and name="vendor.test.test_extension", then the operation
* should be interpreted as the operation 0xBBBB of the extension named vendor.test.test_extension.
*
* This is a one-to-one correspondence. That is, there must be at most one prefix corresponding to
* each extension name and at most one extension name corresponding to each prefix.
*/
@VintfStability
parcelable ExtensionNameAndPrefix {
/**
* The extension name.
*
* See {@link Extension::name} for the format specification.
*/
String name;
/**
* The extension prefix. Only the lowest 15 bits are used, so the value must be less than 32768.
*/
char prefix;
}

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/*
* Copyright (C) 2020 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;
/**
* Information about an extension operand type.
*/
@VintfStability
parcelable ExtensionOperandTypeInformation {
/**
* The extension operand type.
*/
char type;
/**
* Indicates whether the extension operand type represents a tensor or a scalar.
*/
boolean isTensor;
/**
* The byte size of the operand (if scalar) or of a single element (if tensor).
*/
int byteSize;
}

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/*
* Copyright (C) 2020 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;
/**
* Fused activation function types.
*/
@VintfStability
@Backing(type="int")
enum FusedActivationFunc {
NONE,
RELU,
RELU1,
RELU6,
}

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/*
* Copyright (C) 2020 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;
import android.hardware.neuralnetworks.Memory;
/**
* This interface represents a device memory buffer.
*/
@VintfStability
interface IBuffer {
/**
* Sets the content of this buffer from a shared memory region.
*
* @param src The source shared memory region.
* @param dimensions Updated dimensional information. If the dimensions of the IBuffer object
* are not fully specified, then the dimensions must be fully specified here.
* If the dimensions of the IBuffer object are fully specified, then the
* dimensions may be empty here. If dimensions.size() > 0, then all dimensions
* must be specified here, and any dimension that was specified in the IBuffer
* object must have the same value here.
* @throws ServiceSpecificException with one of the following ErrorStatus values:
* - DEVICE_UNAVAILABLE if driver is offline or busy
* - GENERAL_FAILURE if there is an unspecified error
* - INVALID_ARGUMENT if provided memory is invalid, or if the dimensions is invalid
*/
void copyFrom(in Memory src, in int[] dimensions);
/**
* Retrieves the content of this buffer to a shared memory region.
*
* The IBuffer object must have been initialized before the call to IBuffer::copyTo. For more
* information on the state of the IBuffer object, refer to IDevice::allocate.
*
* @param dst The destination shared memory region.
* @throws ServiceSpecificException with one of the following ErrorStatus values:
* - DEVICE_UNAVAILABLE if driver is offline or busy
* - GENERAL_FAILURE if the IBuffer object is uninitialized, or there is an unspecified
* error
* - INVALID_ARGUMENT if provided memory is invalid
*/
void copyTo(in Memory dst);
}

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/*
* Copyright (C) 2020 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;
import android.hardware.neuralnetworks.BufferDesc;
import android.hardware.neuralnetworks.BufferRole;
import android.hardware.neuralnetworks.Capabilities;
import android.hardware.neuralnetworks.DeviceBuffer;
import android.hardware.neuralnetworks.DeviceType;
import android.hardware.neuralnetworks.ExecutionPreference;
import android.hardware.neuralnetworks.Extension;
import android.hardware.neuralnetworks.IPreparedModel;
import android.hardware.neuralnetworks.IPreparedModelCallback;
import android.hardware.neuralnetworks.IPreparedModelParcel;
import android.hardware.neuralnetworks.Model;
import android.hardware.neuralnetworks.NumberOfCacheFiles;
import android.hardware.neuralnetworks.Priority;
/**
* This interface represents a device driver.
*/
@VintfStability
interface IDevice {
/**
* The byte size of the cache token.
*/
const int BYTE_SIZE_OF_CACHE_TOKEN = 32;
/**
* The maximum number of files for each type of cache in compilation caching.
*/
const int MAX_NUMBER_OF_CACHE_FILES = 32;
/**
* Numeric values of extension operand and operation types have the following structure:
* - The sign bit is always 0.
* - 15 high bits represent the "prefix", which corresponds uniquely to the extension name.
* - 16 low bits represent the type ID within the extension.
*/
const int EXTENSION_TYPE_HIGH_BITS_PREFIX = 15;
const int EXTENSION_TYPE_LOW_BITS_TYPE = 16;
/**
* OperandType with any value above {@link IDevice::OPERAND_TYPE_BASE_MAX} must be interpreted
* as an extension type according to {@link Model::extensionNameToPrefix}.
*/
const int OPERAND_TYPE_BASE_MAX = 0xFFFF;
/**
* OperationType with any value above {@link IDevice::OPERATION_TYPE_BASE_MAX} must be
* interpreted as an extension type according to {@link Model::extensionNameToPrefix}.
*/
const int OPERATION_TYPE_BASE_MAX = 0xFFFF;
/**
* Allocates a driver-managed buffer with the properties specified by the buffer descriptor as
* well as the input and output roles.
*
* The allocate function must verify its inputs are correct. If there is an error, or if a
* certain role or property is not supported by the driver, the allocate function must return a
* service specific exception with an appropriate ErrorStatus. If the allocation is successful,
* this method must return a DeviceBuffer object with the produced IBuffer and a positive token
* identifying the allocated buffer. A successful allocation must accommodate all of the
* specified roles and buffer properties.
*
* The buffer is allocated to an uninitialized state. An uninitialized buffer may only be used
* in ways that are specified by outputRoles. A buffer is initialized after it is used as an
* output in a successful execution, or after a successful invocation of IBuffer::copyFrom on
* the buffer. An initialized buffer may be used according to all roles specified in inputRoles
* and outputRoles. A buffer will return to the uninitialized state if it is used as an output
* in a failed execution, or after a failed invocation of IBuffer::copyFrom on the buffer.
*
* The dimensions of the buffer can be deduced from the buffer descriptor as well as the
* dimensions of the corresponding model operands of the input and output roles. The dimensions
* or rank of the buffer may be unknown at this stage. As such, some driver services may only
* create a placeholder and defer the actual allocation until execution time. Note that the same
* buffer may be used for different shapes of outputs on different executions. When the buffer
* is used as an input, the input shape must be the same as the output shape from the last
* execution using this buffer as an output.
*
* The driver must apply proper validatation upon every usage of the buffer, and must fail the
* execution immediately if the usage is illegal.
*
* @param desc A buffer descriptor specifying the properties of the buffer to allocate.
* @param preparedModels A vector of IPreparedModel objects. Must only contain IPreparedModel
* objects from the same IDevice as this method is being invoked on.
* @param inputRoles A vector of roles with each specifying an input to a prepared model.
* @param outputRoles A vector of roles with each specifying an output to a prepared model. Each
* role specified in inputRoles and outputRoles must be unique. The
* corresponding model operands of the roles must have the same OperandType,
* scale, zero point, and ExtraParams. The dimensions of the operands and the
* dimensions specified in the buffer descriptor must be compatible with each
* other. Two dimensions are incompatible if there is at least one axis that
* is fully specified in both but has different values.
* @return DeviceBuffer object containing the allocated IBuffer object and a positive token that
* can be used to reference the buffer as one of the memory pools.
* @throws ServiceSpecificException with one of the following ErrorStatus values:
* - DEVICE_UNAVAILABLE if driver is offline or busy
* - GENERAL_FAILURE if a certain buffer property or a certain role is not supported,
* or if there is an unspecified error
* - INVALID_ARGUMENT if one of the input arguments is invalid
* - RESOURCE_EXHAUSTED_* if the task was aborted by the driver
*/
DeviceBuffer allocate(in BufferDesc desc, in IPreparedModelParcel[] preparedModels,
in BufferRole[] inputRoles, in BufferRole[] outputRoles);
/**
* Gets the capabilities of a driver.
*
* @return Capabilities of the driver.
* @throws ServiceSpecificException with one of the following ErrorStatus values:
* - DEVICE_UNAVAILABLE if driver is offline or busy
* - GENERAL_FAILURE if there is an unspecified error
*/
Capabilities getCapabilities();
/**
* Gets the caching requirements of the driver implementation.
*
* There are two types of cache file descriptors provided to the driver: model cache and data
* cache.
*
* The data cache is for caching constant data, possibly including preprocessed and transformed
* tensor buffers. Any modification to the data cache should have no worse effect than
* generating bad output values at execution time.
*
* The model cache is for caching security-sensitive data such as compiled executable machine
* code in the device's native binary format. A modification to the model cache may affect the
* driver's execution behavior, and a malicious client could make use of this to execute beyond
* the granted permission. Thus, the driver must always check whether the model cache is
* corrupted before preparing the model from cache.
*
* getNumberOfCacheFilesNeeded returns how many of each type of cache files the driver
* implementation needs to cache a single prepared model. Returning 0 for both types indicates
* compilation caching is not supported by this driver. The driver may still choose not to cache
* certain compiled models even if it reports that caching is supported.
*
* If the device reports that caching is not supported, the user may avoid calling
* IDevice::prepareModelFromCache or providing cache file descriptors to
* IDevice::prepareModel.
*
* @return NumberOfCacheFiles structure indicating how many files for model and data cache the
* driver needs to cache a single prepared model. It must be less than or equal to
* MAX_NUMBER_OF_CACHE_FILES.
* @throws ServiceSpecificException with one of the following ErrorStatus values:
* - DEVICE_UNAVAILABLE if driver is offline or busy
* - GENERAL_FAILURE if there is an unspecified error
*/
NumberOfCacheFiles getNumberOfCacheFilesNeeded();
/**
* Gets information about extensions supported by the driver implementation.
*
* All extension operations and operands must be fully supported for the extension to appear in
* the list of supported extensions.
*
* @return A list of supported extensions.
* @throws ServiceSpecificException with one of the following ErrorStatus values:
* - DEVICE_UNAVAILABLE if driver is offline or busy
* - GENERAL_FAILURE if there is an unspecified error
*/
Extension[] getSupportedExtensions();
/**
* Gets the supported operations in a model.
*
* getSupportedOperations indicates which operations of the top-level subgraph are fully
* supported by the vendor driver. If an operation may not be supported for any reason,
* getSupportedOperations must return false for that operation.
*
* The {@link OperationType::IF} and {@link OperationType::WHILE} operations may only be fully
* supported if the vendor driver fully supports all operations in the referenced subgraphs.
*
* @param model A model whose operations -- and their corresponding operands -- are to be
* verified by the driver.
* @return A list of supported operations, where true indicates the operation is supported and
* false indicates the operation is not supported. The index of "supported" corresponds with
* the index of the operation it is describing in the main subgraph.
* @throws ServiceSpecificException with one of the following ErrorStatus values:
* - DEVICE_UNAVAILABLE if driver is offline or busy
* - GENERAL_FAILURE if there is an unspecified error
* - INVALID_ARGUMENT if provided model is invalid
*/
boolean[] getSupportedOperations(in Model model);
/**
* Get the type of a given device.
*
* The device type can be used to help application developers to distribute Machine Learning
* workloads and other workloads such as graphical rendering. E.g., for an app which renders AR
* scenes based on real time object detection results, the developer could choose an ACCELERATOR
* type device for ML workloads, and reserve GPU for graphical rendering.
*
* @return The DeviceType of the device. Please note, this is not a bitfield of DeviceTypes.
* Each device must only be of a single DeviceType.
* @throws ServiceSpecificException with one of the following ErrorStatus values:
* - DEVICE_UNAVAILABLE if driver is offline or busy
* - GENERAL_FAILURE if the query resulted in an unspecified error
*/
DeviceType getType();
/**
* Get the version string of the driver implementation.
*
* The version string must be a unique token among the set of version strings of drivers of a
* specific device. The token identifies the device driver's implementation. The token must not
* be confused with the feature level which is solely defined by the interface version. This API
* is opaque to the Android framework, but the Android framework may use the information for
* debugging or to pass on to NNAPI applications.
*
* Application developers sometimes have specific requirements to ensure good user experiences,
* and they need more information to make intelligent decisions when the Android framework
* cannot. For example, combined with the device name and other information, the token can help
* NNAPI applications filter devices based on their needs:
* - An application demands a certain level of performance, but a specific version of the
* driver cannot meet that requirement because of a performance regression.
* The application can disallow the driver based on the version provided.
* - An application has a minimum precision requirement, but certain versions of
* the driver cannot meet that requirement because of bugs or certain optimizations.
* The application can filter out versions of these drivers.
*
* @return The version string of the device implementation. Must have nonzero length.
* @throws ServiceSpecificException with one of the following ErrorStatus values:
* - DEVICE_UNAVAILABLE if driver is offline or busy
* - GENERAL_FAILURE if the query resulted in an unspecified error
*/
String getVersionString();
/**
* Asynchronously creates a prepared model for execution and optionally saves it into cache
* files.
*
* prepareModel is used to make any necessary transformations to or alternative representations
* to a model for execution, possibly including transformations on the constant data,
* optimization on the model's graph, or compilation into the device's native binary format. The
* model itself is not changed.
*
* Optionally, caching information may be provided for the driver to save the prepared model to
* cache files for faster model compilation time when the same model preparation is requested in
* the future. There are two types of cache file descriptors provided to the driver: model cache
* and data cache. For more information on the two types of cache, refer to
* getNumberOfCacheFilesNeeded.
*
* The file descriptors must be opened with read and write permission. A file may have any size,
* and the corresponding file descriptor may have any offset. The driver must truncate a file to
* zero size before writing to that file. The file descriptors may be closed by the client once
* the asynchronous preparation has finished. The driver must dup a file descriptor if it wants
* to get access to the cache file later.
*
* The model is prepared asynchronously with respect to the caller. The prepareModel function
* must verify the inputs to the preparedModel function related to preparing the model (as
* opposed to saving the prepared model to cache) are correct. If there is an error,
* prepareModel must immediately invoke the callback with the appropriate ErrorStatus value and
* nullptr for the IPreparedModel, then return a status with a service specific exception with
* the same ErrorStatus. If the inputs to the prepareModel function that are related to
* preparing the model are valid and there is no error, prepareModel must launch an asynchronous
* task to prepare the model in the background, and immediately return from prepareModel. If the
* asynchronous task fails to launch, prepareModel must immediately invoke the callback with
* ErrorStatus::GENERAL_FAILURE and nullptr for the IPreparedModel, then return a service
* specific exception with ErrorStatus::GENERAL_FAILURE.
*
* When the asynchronous task has finished preparing the model, it must immediately invoke the
* callback function provided as an input to prepareModel. If the model was prepared
* successfully, the callback object must be invoked with an error status of ErrorStatus::NONE
* and the produced IPreparedModel object. If an error occurred preparing 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.
*
* prepareModel can be called with an optional deadline. If the model is not able to be prepared
* before the provided deadline, the model preparation may be aborted, and either
* {@link ErrorStatus::MISSED_DEADLINE_TRANSIENT} or {@link
* ErrorStatus::MISSED_DEADLINE_PERSISTENT} may be returned. The error due to an abort must be
* sent the same way as other errors, described above.
*
* 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 related to the cache may be invalid, or the
* driver may fail to save to cache, the prepareModel function must finish preparing the model.
* The driver may choose not to save to cache even if the caching information is provided and
* valid.
*
* 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 the prepared model may only be finished when it is paired
* with a set of inputs to the model. Note that the same prepared model object may be used with
* different shapes of inputs on different (possibly concurrent) executions.
*
* Multiple threads may call prepareModel on the same model concurrently.
*
* @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 is expected to be prepared. The time is measured
* in nanoseconds since epoch of the steady clock (as from
* std::chrono::steady_clock). If the model cannot be prepared by the deadline,
* the preparation may be aborted. Passing -1 means the deadline is omitted.
* Other negative values are invalid.
* @param modelCache A vector of file descriptors for the security-sensitive cache. The length
* of the vector must either be 0 indicating that caching information is not
* provided, or match the numModelCache returned from
* getNumberOfCacheFilesNeeded. The cache file descriptors will be provided in
* the same order when retrieving the preparedModel from cache files with
* prepareModelFromCache.
* @param dataCache A vector of file descriptors for the constants' cache. The length of the
* vector must either be 0 indicating that caching information is not provided,
* or match the numDataCache returned from getNumberOfCacheFilesNeeded. The
* cache file descriptors will be provided in the same order when retrieving
* the preparedModel from cache files with prepareModelFromCache.
* @param token A caching token of length BYTE_SIZE_OF_CACHE_TOKEN identifying the prepared
* model. The same token will be provided when retrieving the prepared model from
* the cache files with prepareModelFromCache. Tokens should be chosen to have a
* low rate of collision for a particular application. The driver cannot detect a
* collision; a collision will result in a failed execution or in a successful
* execution that produces incorrect output values. If both modelCache and
* dataCache are empty indicating that caching information is not provided, this
* token must be ignored.
* @param callback A callback object used to return the error status of preparing the model for
* execution and the prepared model if successful, nullptr otherwise. The
* callback object's notify function must be called exactly once, even if the
* model could not be prepared.
* @throws ServiceSpecificException with one of the following ErrorStatus values:
* - DEVICE_UNAVAILABLE if driver is offline or busy
* - 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 preparation is aborted because the model cannot be prepared by
* the deadline
* - RESOURCE_EXHAUSTED_* if the task was aborted by the driver
*/
void prepareModel(in Model model, in ExecutionPreference preference, in Priority priority,
in long deadline, in ParcelFileDescriptor[] modelCache, in ParcelFileDescriptor[] dataCache,
in byte[] token, in IPreparedModelCallback callback);
/**
* Creates a prepared model from cache files for execution.
*
* prepareModelFromCache is used to retrieve a prepared model directly from cache files to avoid
* slow model compilation time. There are two types of cache file descriptors provided to the
* driver: model cache and data cache. For more information on the two types of cache files,
* refer to getNumberOfCacheFilesNeeded.
*
* The file descriptors must be opened with read and write permission. A file may have any size,
* and the corresponding file descriptor may have any offset. The driver must truncate a file to
* zero size before writing to that file. The file descriptors may be closed by the client once
* the asynchronous preparation has finished. The driver must dup a file descriptor if it wants
* to get access to the cache file later.
*
* The model is prepared asynchronously with respect to the caller. The prepareModelFromCache
* function must verify the inputs to the prepareModelFromCache function are correct, and that
* the security-sensitive cache has not been modified since it was last written by the driver.
* If there is an error, or if compilation caching is not supported, or if the
* security-sensitive cache has been modified, prepareModelFromCache must immediately invoke the
* callback with the appropriate ErrorStatus value and nullptr for the IPreparedModel, then
* return a status with a service specific exception with the same ErrorStatus. If the inputs to
* the prepareModelFromCache function are valid, the security-sensitive cache is not modified,
* and there is no error, prepareModelFromCache must launch an asynchronous task to prepare the
* model in the background, and immediately return from prepareModelFromCache. If the
* asynchronous task fails to launch, prepareModelFromCache must immediately invoke the callback
* with ErrorStatus::GENERAL_FAILURE and nullptr for the IPreparedModel, then return a service
* specific exception with ErrorStatus::GENERAL_FAILURE.
*
* When the asynchronous task has finished preparing the model, it must immediately invoke the
* callback function provided as an input to prepareModelFromCache. If the model was prepared
* successfully, the callback object must be invoked with an error status of ErrorStatus::NONE
* and the produced IPreparedModel object. If an error occurred preparing the model, the
* callback object must be invoked with the appropriate ErrorStatus value and nullptr for the
* IPreparedModel.
*
* prepareModelFromCache can be called with an optional deadline. If the model is not able to
* prepared before the provided deadline, the model preparation may be aborted, and either
* {@link ErrorStatus::MISSED_DEADLINE_TRANSIENT} or
* {@link ErrorStatus::MISSED_DEADLINE_PERSISTENT} may be returned. The error due to an abort
* must be sent the same way as other errors, described above.
*
* 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 the prepared model may only be finished when it is paired
* with a set of inputs to the model. Note that the same prepared model object may be used with
* different shapes of inputs on different (possibly concurrent) executions.
*
* @param deadline The time by which the model is expected to be prepared. The time is measured
* in nanoseconds since epoch of the steady clock (as from
* std::chrono::steady_clock). If the model cannot be prepared by the deadline,
* the preparation may be aborted. Passing -1 means the deadline is omitted.
* Other negative values are invalid.
* @param modelCache A vector of file descriptors for the security-sensitive cache. The length
* of the vector must match the numModelCache returned from
* getNumberOfCacheFilesNeeded. The cache file descriptors will be provided in
* the same order as with prepareModel.
* @param dataCache A vector of file descriptors for the constants' cache. The length of the
* vector must match the numDataCache returned from
* getNumberOfCacheFilesNeeded. The cache file descriptors will be provided in
* the same order as with prepareModel.
* @param token A caching token of length BYTE_SIZE_OF_CACHE_TOKEN identifying the prepared
* model. It is the same token provided when saving the cache files with
* prepareModel. Tokens should be chosen to have a low rate of collision for a
* particular application. The driver cannot detect a collision; a collision will
* result in a failed execution or in a successful execution that produces
* incorrect output values.
* @param callback A callback object used to return the error status of preparing the model for
* execution and the prepared model if successful, nullptr otherwise. The
* callback object's notify function must be called exactly once, even if the
* model could not be prepared.
* @throws ServiceSpecificException with one of the following ErrorStatus values:
* - DEVICE_UNAVAILABLE if driver is offline or busy
* - 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 preparation is aborted because the model cannot be prepared by
* the deadline
* - RESOURCE_EXHAUSTED_* if the task was aborted by the driver
*/
void prepareModelFromCache(in long deadline, in ParcelFileDescriptor[] modelCache,
in ParcelFileDescriptor[] dataCache, in byte[] token, in IPreparedModelCallback callback);
}

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/*
* Copyright (C) 2020 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;
import android.hardware.neuralnetworks.ErrorStatus;
import android.hardware.neuralnetworks.Timing;
/**
* IFencedExecutionCallback can be used to query the error status result and duration information
* from an IPreparedModel::executeFenced call.
*/
@VintfStability
interface IFencedExecutionCallback {
/**
* The getExecutionInfo method is used by the clients to query error status result and duration
* information. The method must only be called after the actual evaluation has finished or
* resulted in an runtime error, as indicated by the status of the sync fence returned by the
* IPreparedModel::executeFenced call, otherwise GENERAL_FAILURE must be returned.
*
* @param out timingLaunched The duration starts when executeFenced is called and ends when
* executeFenced signals the returned syncFence. Unless measureTiming
* was set to true when launching the execution and status is NONE,
* all times must be reported as -1. A driver may choose to report any
* time as -1, indicating that particular measurement is not
* available.
* @param out timingFenced The duration starts when all waitFor sync fences have been signaled
* and ends when executeFenced signals the returned syncFence. Unless
* measureTiming was set to true when launching the execution and status
* is NONE, all times must be reported as -1. A driver may choose to
* report any time as -1, indicating that particular measurement is not
* available.
* @return Error status returned from the asynchronously dispatched execution 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
* - MISSED_DEADLINE_* if the execution is aborted because it cannot be completed by the
* deadline
* - RESOURCE_EXHAUSTED_* if the task was aborted by the driver
*/
ErrorStatus getExecutionInfo(out Timing timingLaunched, out Timing timingFenced);
}

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/*
* Copyright (C) 2020 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;
import android.hardware.common.NativeHandle;
import android.hardware.neuralnetworks.ErrorStatus;
import android.hardware.neuralnetworks.ExecutionResult;
import android.hardware.neuralnetworks.IFencedExecutionCallback;
import android.hardware.neuralnetworks.Request;
/**
* IPreparedModel describes a model that has been prepared for execution and is used to launch
* executions.
*/
@VintfStability
interface IPreparedModel {
/**
* Each {@link OperationType::WHILE} operation in the model has an implicit execution timeout
* duration associated with it ("loop timeout duration"). This duration is configurable on a
* per-execution basis and must not exceed 15 seconds. The default value is 2 seconds. The units
* are nanoseconds.
*/
const long DEFAULT_LOOP_TIMEOUT_DURATION_NS = 2000000000;
const long MAXIMUM_LOOP_TIMEOUT_DURATION_NS = 15000000000;
/**
* Performs a synchronous execution on a prepared model.
*
* The execution is performed synchronously with respect to the caller. executeSynchronously
* must verify the inputs to the function are correct, and the usages of memory pools allocated
* by IDevice::allocate are valid. If there is an error, executeSynchronously must immediately
* return a service specific exception with the appropriate ErrorStatus value. If the inputs to
* the function are valid and there is no error, executeSynchronously must perform the
* execution, and must not return until the execution is complete.
*
* The caller must not change the content of any data object referenced by 'request' (described
* by the {@link DataLocation} of a {@link RequestArgument}) until executeSynchronously returns.
* executeSynchronously must not change the content of any of the data objects corresponding to
* 'request' inputs.
*
* If the prepared model was prepared from a model wherein all tensor operands have fully
* specified dimensions, and the inputs to the function are valid, and at execution time every
* operation's input operands have legal values, then the execution should complete
* successfully: there must be no failure unless the device itself is in a bad state.
*
* executeSynchronously may be called with an optional deadline. If the execution is not able to
* be completed before the provided deadline, the execution may be aborted, and either
* {@link ErrorStatus::MISSED_DEADLINE_TRANSIENT} or {@link
* ErrorStatus::MISSED_DEADLINE_PERSISTENT} may be returned. The error due to an abort must be
* sent the same way as other errors, described above.
*
* Any number of calls to the execute* functions, in any combination, may be made concurrently,
* even on the same IPreparedModel object.
*
* @param request The input and output information on which the prepared model is to be
* executed.
* @param measure Specifies whether or not to measure duration of the execution. The duration
* runs from the time the driver sees the call to the executeSynchronously
* function to the time the driver returns from the function.
* @param deadline The time by which the execution is expected to complete. The time is measured
* in nanoseconds since epoch of the steady clock (as from
* std::chrono::steady_clock). If the execution cannot be finished by the
* deadline, the execution may be aborted. Passing -1 means the deadline is
* omitted. Other negative values are invalid.
* @param loopTimeoutDuration The maximum amount of time in nanoseconds that should be spent
* executing a {@link OperationType::WHILE} operation. If a loop
* condition model does not output false within this duration, the
* execution must be aborted. If -1 is provided, the maximum amount
* of time is {@link DEFAULT_LOOP_TIMEOUT_DURATION_NS}. Other
* negative values are invalid. When provided, the duration must not
* exceed {@link MAXIMUM_LOOP_TIMEOUT_DURATION_NS}.
* @return ExecutionResult parcelable, containing the status of the execution, output shapes and
* timing information.
* @throws ServiceSpecificException with one of the following ErrorStatus values:
* - DEVICE_UNAVAILABLE if driver is offline or busy
* - GENERAL_FAILURE if there is an unspecified error
* - INVALID_ARGUMENT if one of the input arguments is invalid
* - MISSED_DEADLINE_* if the execution is aborted because it cannot be completed by the
* deadline
* - RESOURCE_EXHAUSTED_* if the task was aborted by the driver
*/
ExecutionResult executeSynchronously(in Request request, in boolean measureTiming,
in long deadline, in long loopTimeoutDuration);
/**
* Launch a fenced asynchronous execution on a prepared model.
*
* The execution is performed asynchronously with respect to the caller. executeFenced must
* verify the inputs to the function are correct, and the usages of memory pools allocated by
* IDevice::allocate are valid. If there is an error, executeFenced must immediately return a
* service specific exception with the corresponding ErrorStatus. If the inputs to the function
* are valid and there is no error, executeFenced must dispatch an asynchronous task to perform
* the execution in the background, assign a sync fence that will be signaled once the execution
* is completed and immediately return a callback that can be used by the client to query the
* duration and runtime error status. If the task has finished before the call returns,
* syncFence file descriptor may be set to -1. The execution must wait for all the sync fences
* (if any) in waitFor to be signaled before starting the actual execution.
*
* When the asynchronous task has finished its execution, it must immediately signal the
* syncFence returned from the executeFenced call. After the syncFence is signaled, the task
* must not modify the content of any data object referenced by 'request' (described by the
* {@link DataLocation} of a {@link RequestArgument}).
*
* executeFenced may be called with an optional deadline and an optional duration. If the
* execution is not able to be completed before the provided deadline or within the timeout
* duration (measured from when all sync fences in waitFor are signaled), whichever comes
* earlier, the execution may be aborted, and either
* {@link ErrorStatus::MISSED_DEADLINE_TRANSIENT} or {@link
* ErrorStatus::MISSED_DEADLINE_PERSISTENT} may be returned. The error due to an abort must be
* sent the same way as other errors, described above.
*
* If any of the sync fences in waitFor changes to error status after the executeFenced call
* succeeds, or the execution is aborted because it cannot finish before the deadline has been
* reached or the duration has elapsed, the driver must immediately set the returned syncFence
* to error status.
*
* Any number of calls to the execute* functions, in any combination, may be made concurrently,
* even on the same IPreparedModel object.
*
* @param request The input and output information on which the prepared model is to be
* executed. The outputs in the request must have fully specified dimensions.
* @param waitFor A vector of sync fence file descriptors. Execution must not start until all
* sync fences have been signaled.
* @param measure Specifies whether or not to measure duration of the execution.
* @param deadline The time by which the execution is expected to complete. The time is measured
* in nanoseconds since epoch of the steady clock (as from
* std::chrono::steady_clock).If the execution cannot be finished by the
* deadline, the execution may be aborted. Passing -1 means the deadline is
* omitted. Other negative values are invalid.
* @param loopTimeoutDuration The maximum amount of time in nanoseconds that should be spent
* executing a {@link OperationType::WHILE} operation. If a loop
* condition model does not output false within this duration, the
* execution must be aborted. If -1 is provided, the maximum amount
* of time is {@link DEFAULT_LOOP_TIMEOUT_DURATION_NS}. Other
* negative values are invalid. When provided, the duration must not
* exceed {@link MAXIMUM_LOOP_TIMEOUT_DURATION_NS}.
* @param duration The length of time in nanoseconds within which the execution is expected to
* complete after all sync fences in waitFor are signaled. If the execution
* cannot be finished within the duration, the execution may be aborted. Passing
* -1 means the duration is omitted. Other negative values are invalid.
* @param out syncFence The sync fence that will be signaled when the task is completed. The
* sync fence will be set to error if a critical error, e.g. hardware
* failure or kernel panic, occurs when doing execution.
* @return The IFencedExecutionCallback can be used to query information like duration and error
* status when the execution is completed.
* @throws ServiceSpecificException with one of the following ErrorStatus values:
* - DEVICE_UNAVAILABLE if driver is offline or busy
* - GENERAL_FAILURE if there is an unspecified error
* - INVALID_ARGUMENT if one of the input arguments is invalid, including fences in error
* states.
* - MISSED_DEADLINE_* if the execution is aborted because it cannot be completed by the
* deadline
* - RESOURCE_EXHAUSTED_* if the task was aborted by the driver
*/
IFencedExecutionCallback executeFenced(in Request request, in ParcelFileDescriptor[] waitFor,
in boolean measureTiming, in long deadline, in long loopTimeoutDuration, in long duration,
out @nullable ParcelFileDescriptor syncFence);
}

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/*
* Copyright (C) 2020 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;
import android.hardware.neuralnetworks.ErrorStatus;
import android.hardware.neuralnetworks.IPreparedModel;
/**
* IPreparedModelCallback must be used to return a prepared model produced by an asynchronous task
* launched from IDevice::prepareModel*.
*/
@VintfStability
interface IPreparedModelCallback {
/**
* Notify must be invoked immediately after the asynchronous task holding this callback has
* finished preparing the model. If the model was successfully prepared, the method must be
* invoked with ErrorStatus::NONE and the prepared model. If the model was not able to be
* successfully prepared, the method must be invoked with the appropriate ErrorStatus and
* nullptr as the IPreparedModel. If the asynchronous task holding this callback fails to launch
* or if the model provided to IDevice::prepareModel is invalid, notify method must be invoked
* with the appropriate error as well as nullptr for the IPreparedModel.
*
* @param status Error status returned from the asynchronous model preparation task; must be:
* - NONE if the asynchronous task successfully prepared the model
* - DEVICE_UNAVAILABLE if driver is offline or busy
* - GENERAL_FAILURE if the asynchronous task resulted in an unspecified error
* - INVALID_ARGUMENT if one of the input arguments to prepareModel is invalid
* - MISSED_DEADLINE_* if the preparation is aborted because the model cannot be
* prepared by the deadline
* - RESOURCE_EXHAUSTED_* if the task was aborted by the driver
* @param preparedModel A model that has been asynchronously prepared for execution. If the
* model was unable to be prepared due to an error, nullptr must be passed
* in place of the IPreparedModel object.
*/
void notify(in ErrorStatus status, in IPreparedModel preparedModel);
}

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/*
* Copyright (C) 2020 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;
import android.hardware.neuralnetworks.IPreparedModel;
/**
* A parcelable for passing a vector of IPreparedModel objects.
*/
@VintfStability
parcelable IPreparedModelParcel {
IPreparedModel preparedModel;
}

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/*
* Copyright (C) 2020 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;
import android.hardware.common.NativeHandle;
import android.os.ParcelFileDescriptor;
/**
* A type that is used to pass pieces of shared memory between processes.
* The type structure mimics hidl_memory type from HIDL.
*/
@VintfStability
parcelable Memory {
NativeHandle handle;
long size;
String name;
}

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/*
* Copyright (C) 2020 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;
import android.hardware.neuralnetworks.ExtensionNameAndPrefix;
import android.hardware.neuralnetworks.Subgraph;
import android.hardware.neuralnetworks.Memory;
/**
* A Neural Network Model.
*
* This includes not only the execution graph, but also constant data such as weights or scalars
* added at construction time. The only information that may not be known is the shape of the input
* tensors.
*/
@VintfStability
parcelable Model {
/**
* The top-level subgraph.
*/
Subgraph main;
/**
* Referenced subgraphs.
*
* Each subgraph is referenced by the main subgraph or at least one other referenced subgraph.
*
* There must be no reference cycles.
*/
Subgraph[] referenced;
/**
* A byte buffer containing operand data that were copied into the model.
*
* An operand's value must be located here if and only if Operand::lifetime equals
* OperandLifeTime::CONSTANT_COPY.
*/
byte[] operandValues;
/**
* A collection of shared memory pools containing operand values.
*
* An operand's value must be located here if and only if Operand::lifetime equals
* OperandLifeTime::CONSTANT_POOL.
*/
Memory[] pools;
/**
* 'true' indicates TENSOR_FLOAT32 may be calculated with range and/or precision as low as that
* of the IEEE 754 16-bit floating-point format.
* 'false' indicates TENSOR_FLOAT32 must be calculated using at least the range and precision of
* the IEEE 754 32-bit floating-point format.
*/
boolean relaxComputationFloat32toFloat16;
/**
* The mapping between extension names and prefixes of operand and operation type values.
*/
ExtensionNameAndPrefix[] extensionNameToPrefix;
}

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/*
* Copyright (C) 2020 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;
/**
* Structure indicating how many files for model and numDataCache cache the driver needs to cache a
* single prepared model.
*/
@VintfStability
parcelable NumberOfCacheFiles {
int numModelCache;
int numDataCache;
}

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/*
* Copyright (C) 2020 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;
import android.hardware.neuralnetworks.DataLocation;
import android.hardware.neuralnetworks.OperandExtraParams;
import android.hardware.neuralnetworks.OperandLifeTime;
import android.hardware.neuralnetworks.OperandType;
/**
* Describes one operand of the model's graph.
*/
@VintfStability
parcelable Operand {
/**
* The data type.
*
* Besides the values listed in {@link OperandType}, any value above
* {@link IDevice::OPERAND_TYPE_BASE_MAX} is possible and should be interpreted as an extension
* type according to {@link Model::extensionNameToPrefix}.
*/
OperandType type;
/**
* Dimensions of the operand.
*
* For a scalar operand, dimensions.size() must be 0.
*
* A tensor operand with all dimensions specified has "fully specified" dimensions. Whenever
* possible (i.e., whenever the dimensions are known at model construction time), a tensor
* operand should have (but is not required to have) fully specified dimensions, in order to
* enable the best possible performance.
*
* If a tensor operand's dimensions are not fully specified, the dimensions of the operand are
* deduced from the operand dimensions and values of the operation for which that operand is an
* output or from the corresponding {@link OperationType::IF} or {@link OperationType::WHILE}
* operation input operand dimensions in the case of referenced subgraph input operands.
*
* In the following situations, a tensor operand's dimensions must be fully specified:
*
* . The operand has lifetime CONSTANT_COPY or CONSTANT_POOL.
*
* . The operand has lifetime SUBGRAPH_INPUT and belongs to the main subgraph. Fully
* specified dimensions must either be present in the Operand or they must be provided in
* the corresponding RequestArgument.
* EXCEPTION: If the input is optional and omitted (by setting the hasNoValue field of the
* corresponding RequestArgument to true) then it need not have fully specified
* dimensions.
*
* A tensor operand with some number of unspecified dimensions is represented by setting each
* unspecified dimension to 0.
*
* A tensor operand with unspecified rank is represented by providing an empty dimensions
* vector.
*/
int[] dimensions;
/**
* Quantized scale of the operand.
*
* Must be 0 when not applicable to an operand type.
*
* See {@link OperandType}.
*/
float scale;
/**
* Quantized zero-point offset of the operand.
*
* Must be 0 when not applicable to an operand type.
*
* See {@link OperandType}.
*/
int zeroPoint;
/**
* How the operand is used.
*/
OperandLifeTime lifetime;
/**
* Where to find the data for this operand.
* If the lifetime is TEMPORARY_VARIABLE, SUBGRAPH_INPUT, SUBGRAPH_OUTPUT, or NO_VALUE:
* - All the fields must be 0.
* If the lifetime is CONSTANT_COPY:
* - location.poolIndex is 0.
* - location.offset is the offset in bytes into Model.operandValues.
* - location.length is set.
* If the lifetime is CONSTANT_POOL:
* - location.poolIndex is set.
* - location.offset is the offset in bytes into the specified pool.
* - location.length is set.
* If the lifetime is SUBGRAPH:
* - location.poolIndex is 0.
* - location.offset is the index of the referenced subgraph in {@link Model::referenced}.
* - location.length is 0.
*/
DataLocation location;
/**
* Additional parameters specific to a particular operand type.
*/
@nullable OperandExtraParams extraParams;
}

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/*
* Copyright (C) 2020 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;
import android.hardware.neuralnetworks.SymmPerChannelQuantParams;
/**
* Parameters specific to a particular operand type.
*/
@VintfStability
union OperandExtraParams {
/**
* Symmetric per-channel quantization parameters.
*
* Only applicable to operands of type TENSOR_QUANT8_SYMM_PER_CHANNEL.
*/
SymmPerChannelQuantParams channelQuant;
/**
* Extension operand parameters.
*
* The framework treats this as an opaque data blob.
* The format is up to individual extensions.
*/
byte[] extension;
}

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/*
* Copyright (C) 2020 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;
/**
* How an operand is used.
*/
@VintfStability
@Backing(type="int")
enum OperandLifeTime {
/**
* The operand is internal to the model. It's created by an operation and consumed by other
* operations. It must be an output operand of exactly one operation.
*/
TEMPORARY_VARIABLE,
/**
* The operand is an input of a subgraph. It must not be an output operand of any operation.
*
* An operand can't be both input and output of a subgraph.
*/
SUBGRAPH_INPUT,
/**
* The operand is an output of a subgraph. It must be an output operand of exactly one
* operation.
*
* An operand can't be both input and output of a subgraph.
*/
SUBGRAPH_OUTPUT,
/**
* The operand is a constant found in Model.operandValues. It must not be an output operand of
* any operation.
*/
CONSTANT_COPY,
/**
* The operand is a constant that was specified via a Memory object. It must not be an output
* operand of any operation.
*/
CONSTANT_POOL,
/**
* The operand does not have a value. This is valid only for optional arguments of operations.
*/
NO_VALUE,
/**
* The operand is a reference to a subgraph. It must be an input to one or more
* {@link OperationType::IF} or {@link OperationType::WHILE} operations.
*/
SUBGRAPH,
}

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/*
* Copyright (C) 2020 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;
import android.hardware.neuralnetworks.OperandType;
import android.hardware.neuralnetworks.PerformanceInfo;
/**
* Driver performance when operating on a particular data type. In the case of float32 data, this is
* used when the calculations are not relaxed.
*/
@VintfStability
parcelable OperandPerformance {
OperandType type;
PerformanceInfo info;
}

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/*
* Copyright (C) 2020 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;
/**
* Operand types.
*
* The type of an operand in a model.
*
* Types prefaced with TENSOR_* must be used for tensor data (i.e., tensors
* with at least one dimension). Types not prefaced by TENSOR_* represent
* scalar values and must have no dimensions.
*/
@VintfStability
@Backing(type="int")
enum OperandType {
/**
* A 32 bit floating point scalar value.
*/
FLOAT32 = 0,
/**
* A signed 32 bit integer scalar value.
*/
INT32 = 1,
/**
* An unsigned 32 bit integer scalar value.
*/
UINT32 = 2,
/**
* A tensor of 32 bit floating point values.
*/
TENSOR_FLOAT32 = 3,
/**
* A tensor of 32 bit integer values.
*/
TENSOR_INT32 = 4,
/**
* A tensor of 8 bit unsigned integers that represent real numbers.
*
* Attached to this tensor are two numbers that can be used to convert the 8 bit integer to the
* real value and vice versa. These two numbers are:
* - scale: a 32 bit floating point value greater than zero.
* - zeroPoint: a 32 bit integer, in range [0, 255].
*
* The formula is:
* real_value = (integer_value - zeroPoint) * scale.
*/
TENSOR_QUANT8_ASYMM = 5,
/**
* An 8 bit boolean scalar value.
*
* Values of this operand type are either true or false. A zero value represents false; any
* other value represents true.
*/
BOOL = 6,
/**
* A tensor of 16 bit signed integers that represent real numbers.
*
* Attached to this tensor is a number representing real value scale that is used to convert the
* 16 bit number to a real value in the following way:
* realValue = integerValue * scale.
*
* scale is a 32 bit floating point with value greater than zero.
*/
TENSOR_QUANT16_SYMM = 7,
/**
* A tensor of IEEE 754 16 bit floating point values.
*/
TENSOR_FLOAT16 = 8,
/**
* A tensor of 8 bit boolean values.
*
* Values of this operand type are either true or false. A zero value represents false; any
* other value represents true.
*/
TENSOR_BOOL8 = 9,
/**
* An IEEE 754 16 bit floating point scalar value.
*/
FLOAT16 = 10,
/**
* A tensor of 8 bit signed integers that represent real numbers.
*
* This tensor is associated with additional fields that can be used to convert the 8 bit signed
* integer to the real value and vice versa. These fields are:
* - channelDim: a 32 bit unsigned integer indicating channel dimension.
* - scales: an array of positive 32 bit floating point values.
* The size of the scales array must be equal to dimensions[channelDim].
*
* {@link SymmPerChannelQuantParams} must hold the parameters for an Operand of this type.
* The channel dimension of this tensor must not be unknown (dimensions[channelDim] != 0).
*
* The formula is:
* realValue[..., C, ...] =
* integerValue[..., C, ...] * scales[C]
* where C is an index in the Channel dimension.
*/
TENSOR_QUANT8_SYMM_PER_CHANNEL = 11,
/**
* A tensor of 16 bit unsigned integers that represent real numbers.
*
* Attached to this tensor are two numbers that can be used to convert the 16 bit integer to the
* real value and vice versa. These two numbers are:
* - scale: a 32 bit floating point value greater than zero.
* - zeroPoint: a 32 bit integer, in range [0, 65535].
*
* The formula is:
* real_value = (integer_value - zeroPoint) * scale.
*/
TENSOR_QUANT16_ASYMM = 12,
/**
* A tensor of 8 bit signed integers that represent real numbers.
*
* Attached to this tensor is a number representing real value scale that is used to convert the
* 8 bit number to a real value in the following way:
* realValue = integerValue * scale.
*
* scale is a 32 bit floating point with value greater than zero.
*/
TENSOR_QUANT8_SYMM = 13,
/**
* A tensor of 8 bit signed integers that represent real numbers.
*
* Attached to this tensor are two numbers that can be used to convert the 8 bit integer to the
* real value and vice versa. These two numbers are:
* - scale: a 32 bit floating point value greater than zero.
* - zeroPoint: a 32 bit integer, in range [-128, 127].
*
* The formula is:
* real_value = (integer_value - zeroPoint) * scale.
*/
TENSOR_QUANT8_ASYMM_SIGNED = 14,
/**
* A reference to a subgraph.
*
* Must have the lifetime {@link OperandLifeTime::SUBGRAPH}.
*/
SUBGRAPH = 15,
}

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/*
* Copyright (C) 2020 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;
import android.hardware.neuralnetworks.OperationType;
/**
* Describes one operation of the model's graph.
*/
@VintfStability
parcelable Operation {
/**
* The operation type.
*
* Besides the values listed in {@link OperationType}, any value above
* {@link IDevice::OPERATION_TYPE_BASE_MAX} is possible and should be interpreted as an
* extension type according to {@link Model::extensionNameToPrefix}.
*/
OperationType type;
/**
* Describes the table that contains the indexes of the inputs of the operation. The offset is
* the index in the operandIndexes table.
*/
int[] inputs;
/**
* Describes the table that contains the indexes of the outputs of the operation. The offset is
* the index in the operandIndexes table.
*/
int[] outputs;
}

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/*
* Copyright (C) 2020 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;
/**
* Describes the shape information of an output operand after execution.
*/
@VintfStability
parcelable OutputShape {
/**
* Dimensions of the operand.
*/
int[] dimensions;
/**
* Whether the provided buffer size is sufficient for the output.
*/
boolean isSufficient;
}

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/*
* Copyright (C) 2020 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;
/**
* Performance information for the reference workload.
*
* Used by a driver to report its performance characteristics.
*/
@VintfStability
parcelable PerformanceInfo {
/**
* Ratio of the time taken by the driver to execute the workload compared to the time the CPU
* would take for the same workload. A lower number is better.
*/
float execTime;
/**
* Ratio of the energy used by the driver compared to what the CPU would use for doing the same
* workload. A lower number is better.
*/
float powerUsage;
}

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/*
* Copyright (C) 2020 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;
/**
* Priority given to a prepared model for execution.
*/
@VintfStability
@Backing(type="int")
enum Priority {
LOW,
MEDIUM,
HIGH,
}

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/*
* Copyright (C) 2020 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;
import android.hardware.neuralnetworks.RequestArgument;
import android.hardware.neuralnetworks.RequestMemoryPool;
/**
* Inputs to be sent to and outputs to be retrieved from a prepared model.
*
* A Request serves two primary tasks:
* 1) Provides the input and output data to be used when executing the model.
* 2) Specifies any updates to the input operand metadata that were left unspecified at model
* preparation time.
*
* An output must not overlap with any other output, with an input, or with an operand of lifetime
* CONSTANT_POOL.
*/
@VintfStability
parcelable Request {
/**
* Input data and information to be used in the execution of a prepared model.
*
* The index of the input corresponds to the index in Model.main.inputIndexes.
* E.g., input[i] corresponds to Model.main.inputIndexes[i].
*/
RequestArgument[] inputs;
/**
* Output data and information to be used in the execution of a prepared model.
*
* The index of the output corresponds to the index in Model.main.outputIndexes.
* E.g., output[i] corresponds to Model.main.outputIndexes[i].
*/
RequestArgument[] outputs;
/**
* A collection of memory pools containing operand data for both the inputs and the outputs to a
* model.
*/
RequestMemoryPool[] pools;
}

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/*
* Copyright (C) 2020 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;
import android.hardware.neuralnetworks.DataLocation;
/**
* Metadata information specifying the location of the input or output data and any updates to the
* input or output operand.
*/
@VintfStability
parcelable RequestArgument {
/**
* If true, the argument does not have a value. This can be used for operations that take
* optional arguments. If true, the fields of location are set to 0 and the dimensions vector is
* left empty.
*/
boolean hasNoValue;
/**
* The location within one of the memory pools passed in the Request.
*/
DataLocation location;
/**
* Updated dimension information.
*
* If dimensions.size() > 0, dimension information was provided along with the argument. This
* can be the case for models that accept inputs of varying size. This can't change the rank,
* just the value of the dimensions that were unspecified in the model. If dimensions.size() >
* 0, then all dimensions must be specified here; and any dimension that was specified in the
* model must have the same value here.
*
* If the dimensions in the model are not fully specified, then they must be fully specified
* here, unless hasNoValue is set to true. If the dimensions in the model are fully specified,
* then either dimensions.size() may be 0, or the dimensions in the model must be identical to
* the dimensions here.
*/
int[] dimensions;
}

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/*
* Copyright (C) 2020 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;
import android.hardware.neuralnetworks.Memory;
/**
* A memory pool.
*/
@VintfStability
union RequestMemoryPool {
/**
* Specifies a client-managed shared memory pool.
*/
Memory pool;
/**
* Specifies a driver-managed buffer. It is the token returned from IDevice::allocate, and is
* specific to the IDevice object.
*/
int token;
}

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/*
* Copyright (C) 2020 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;
import android.hardware.neuralnetworks.Operand;
import android.hardware.neuralnetworks.Operation;
/**
* An excerpt of the execution graph.
*/
@VintfStability
parcelable Subgraph {
/**
* All operands included in the subgraph.
*/
Operand[] operands;
/**
* All operations included in the subgraph.
*
* The operations are sorted into execution order. Every operand with lifetime SUBGRAPH_OUTPUT
* or TEMPORARY_VARIABLE must be written before it is read.
*/
Operation[] operations;
/**
* Input indexes of the subgraph. There must be at least one.
*
* Each value corresponds to the index of the operand in "operands".
*/
int[] inputIndexes;
/**
* Output indexes of the subgraph. There must be at least one.
*
* Each value corresponds to the index of the operand in "operands".
*/
int[] outputIndexes;
}

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/*
* Copyright (C) 2020 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;
/**
* Parameters for TENSOR_QUANT8_SYMM_PER_CHANNEL operand.
*/
@VintfStability
parcelable SymmPerChannelQuantParams {
/**
* Array of scaling values for each channel. Each value must be greater than zero.
*/
float[] scales;
/**
* Index of the channel dimension
*/
int channelDim;
}

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/*
* Copyright (C) 2020 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;
/**
* Timing information measured during execution. Each time is a duration from the beginning of some
* task to the end of that task, including time when that task is not active (for example, preempted
* by some other task, or waiting for some resource to become available).
*
* Times are measured in nanoseconds. When a time is not available, it must be reported as -1.
*/
@VintfStability
parcelable Timing {
/**
* Execution time on device (not driver, which runs on host processor).
*/
long timeOnDevice;
/**
* Execution time in driver (including time on device).
*/
long timeInDriver;
}