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Create NeuralNetworks HAL v1.2 for new OperationTypes

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Bug: 114365802
Test: mm
Change-Id: I86b9261729a64d02ed30dc822a0226de11473ac8
Merged-In: I86b9261729a64d02ed30dc822a0226de11473ac8
(cherry-picked from 060a9acb3b)
This commit is contained in:
Slava Shklyaev 2018-09-07 15:27:24 +01:00 committed by Przemyslaw Szczepaniak
parent c0263aa0e4
commit 8e139a7a11
3 changed files with 242 additions and 0 deletions
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neuralnetworks/1.2/Android.bp Normal file
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// This file is autogenerated by hidl-gen -Landroidbp.
hidl_interface {
name: "android.hardware.neuralnetworks@1.2",
root: "android.hardware",
vndk: {
enabled: true,
},
srcs: [
"types.hal",
"IDevice.hal",
],
interfaces: [
"android.hardware.neuralnetworks@1.0",
"android.hardware.neuralnetworks@1.1",
"android.hidl.base@1.0",
],
types: [
"Model",
"Operation",
"OperationType",
],
gen_java: false,
}

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neuralnetworks/1.2/IDevice.hal Normal file
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/*
* Copyright (C) 2018 The Android Open Source Project
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package android.hardware.neuralnetworks@1.2;
import @1.0::ErrorStatus;
import @1.0::IPreparedModelCallback;
import @1.1::ExecutionPreference;
import @1.1::IDevice;
/**
* This interface represents a device driver.
*/
interface IDevice extends @1.1::IDevice {
/**
* Gets the supported operations in a model.
*
* getSupportedOperations indicates which operations of a model are fully
* supported by the vendor driver. If an operation may not be supported for
* any reason, getSupportedOperations must return false for that operation.
*
* @param model A model whose operations--and their corresponding operands--
* are to be verified by the driver.
* @return status Error status of the call, must be:
* - NONE if successful
* - DEVICE_UNAVAILABLE if driver is offline or busy
* - GENERAL_FAILURE if there is an unspecified error
* - INVALID_ARGUMENT if provided model is invalid
* @return supportedOperations 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.
*/
getSupportedOperations_1_2(Model model)
generates (ErrorStatus status, vec<bool> supportedOperations);
/**
* Creates a prepared model for execution.
*
* prepareModel is used to make any necessary transformations 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.
*
* The model is prepared asynchronously with respect to the caller. The
* prepareModel function must verify the inputs to the prepareModel function
* 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 with the same ErrorStatus. If the inputs to
* the prepareModel function 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 with ErrorStatus::NONE. If the
* asynchronous task fails to launch, prepareModel must immediately invoke
* the callback with ErrorStatus::GENERAL_FAILURE and nullptr for the
* IPreparedModel, then return 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 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 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.
* @return status Error status of launching a task which prepares the model
* in the background; must be:
* - NONE if preparation task is successfully launched
* - 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
*/
prepareModel_1_2(Model model, ExecutionPreference preference,
IPreparedModelCallback callback)
generates (ErrorStatus status);
};

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neuralnetworks/1.2/types.hal Normal file
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/*
* Copyright (C) 2018 The Android Open Source Project
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package android.hardware.neuralnetworks@1.2;
import @1.0::Operand;
import @1.0::PerformanceInfo;
import @1.1::OperationType;
/**
* Operation types.
*
* The type of an operation in a model.
*/
enum OperationType : @1.1::OperationType {
};
/**
* Describes one operation of the model's graph.
*/
struct Operation {
/**
* The operation type.
*/
OperationType type;
/**
* Describes the table that contains the indexes of the inputs of the
* operation. The offset is the index in the operandIndexes table.
*/
vec<uint32_t> inputs;
/**
* Describes the table that contains the indexes of the outputs of the
* operation. The offset is the index in the operandIndexes table.
*/
vec<uint32_t> outputs;
};
/**
* 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.
*/
struct Model {
/**
* All operands included in the model.
*/
vec<Operand> operands;
/**
* All operations included in the model.
*
* The operations are sorted into execution order. Every operand
* with lifetime MODEL_OUTPUT or TEMPORARY_VARIABLE must be
* written before it is read.
*/
vec<Operation> operations;
/**
* Input indexes of the model. There must be at least one.
*
* Each value corresponds to the index of the operand in "operands".
*/
vec<uint32_t> inputIndexes;
/**
* Output indexes of the model. There must be at least one.
*
* Each value corresponds to the index of the operand in "operands".
*/
vec<uint32_t> outputIndexes;
/**
* 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.
*/
vec<uint8_t> 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_REFERENCE.
*/
vec<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.
*/
bool relaxComputationFloat32toFloat16;
};