mirror of
https://github.com/Evolution-X/hardware_interfaces
synced 2026-02-02 09:36:03 +00:00
b98aa6d6bf
This CL creates the following primary sets of functions:
* V1_X::utils::convert(<canonical_type>) -- Converts a canonical type
to the corresponding HAL version type.
* nn::convert(<V1_X_HAL_type>) -- Converts a HAL version type to the
corresponding canonical type.
* neuralnetworks::utils::hasNoPointerData -- Indicates if the object
contains no pointer-based data that could be relocated to shared
memory.
* neuralnetworks::utils::flushDataFromPointerToShared -- Relocate
pointer-based data to shared memory.
* neuralnetworks::utils::unflushDataFromSharedToPointer -- Undoes
`flushDataFromPointerToShared` on a Request object. More
specifically, `unflushDataFromSharedToPointer` copies the output
shared memory data from the transformed Request object back to the
output pointer-based memory in the original Request object.
It also introduces some other minor utility code, including
makeQuantized8PerformanceConsistentWithP, countNumberOfConsumers,
validate, valid, and validatedConvertToCanonical.
Bug: 160667419
Test: mma
Change-Id: I0732e658c1f4ed40cd122f1ca8581fb40b056757
Merged-In: I0732e658c1f4ed40cd122f1ca8581fb40b056757
(cherry picked from commit a685c3dbf4)
60 lines
2.5 KiB
C++
60 lines
2.5 KiB
C++
/*
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* Copyright (C) 2020 The Android Open Source Project
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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#ifndef ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_UTILS_COMMON_COMMON_UTILS_H
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#define ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_UTILS_COMMON_COMMON_UTILS_H
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#include <nnapi/Result.h>
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#include <nnapi/Types.h>
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#include <vector>
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// Shorthand
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namespace android::hardware::neuralnetworks {
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namespace hal = ::android::hardware::neuralnetworks;
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} // namespace android::hardware::neuralnetworks
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// Shorthand
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namespace android::nn {
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namespace hal = ::android::hardware::neuralnetworks;
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}
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namespace android::hardware::neuralnetworks::utils {
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nn::Capabilities::OperandPerformanceTable makeQuantized8PerformanceConsistentWithP(
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const nn::Capabilities::PerformanceInfo& float32Performance,
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const nn::Capabilities::PerformanceInfo& quantized8Performance);
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// Indicates if the object contains no pointer-based data that could be relocated to shared memory.
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bool hasNoPointerData(const nn::Model& model);
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bool hasNoPointerData(const nn::Request& request);
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// Relocate pointer-based data to shared memory.
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nn::Result<nn::Model> flushDataFromPointerToShared(const nn::Model& model);
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nn::Result<nn::Request> flushDataFromPointerToShared(const nn::Request& request);
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// Undoes `flushDataFromPointerToShared` on a Request object. More specifically,
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// `unflushDataFromSharedToPointer` copies the output shared memory data from the transformed
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// Request object back to the output pointer-based memory in the original Request object.
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nn::Result<void> unflushDataFromSharedToPointer(const nn::Request& request,
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const nn::Request& requestInShared);
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std::vector<uint32_t> countNumberOfConsumers(size_t numberOfOperands,
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const std::vector<nn::Operation>& operations);
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} // namespace android::hardware::neuralnetworks::utils
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#endif // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_UTILS_COMMON_COMMON_UTILS_H
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