229 lines
		
	
	
		
			9.1 KiB
		
	
	
	
		
			C++
		
	
	
	
			
		
		
	
	
			229 lines
		
	
	
		
			9.1 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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| 
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| #include "HalBufferTracker.h"
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| 
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| #include <android-base/macros.h>
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| 
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| #include <memory>
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| #include <mutex>
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| #include <set>
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| #include <stack>
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| #include <utility>
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| #include <vector>
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| 
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| #include "CpuExecutor.h"
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| #include "HalInterfaces.h"
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| #include "Utils.h"
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| #include "nnapi/TypeUtils.h"
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| 
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| namespace android::nn {
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| 
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| std::shared_ptr<HalManagedBuffer> HalManagedBuffer::create(uint32_t size,
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|                                                            std::set<HalPreparedModelRole> roles,
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|                                                            const Operand& operand) {
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|     std::unique_ptr<uint8_t[]> buffer(new (std::nothrow) uint8_t[size]);
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|     if (buffer == nullptr) {
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|         return nullptr;
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|     }
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|     if (isExtension(operand.type)) {
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|         LOG(ERROR) << "HalManagedBuffer cannot handle extension operands.";
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|         return nullptr;
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|     }
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|     return std::make_shared<HalManagedBuffer>(std::move(buffer), size, std::move(roles), operand);
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| }
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| 
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| HalManagedBuffer::HalManagedBuffer(std::unique_ptr<uint8_t[]> buffer, uint32_t size,
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|                                    std::set<HalPreparedModelRole> roles, const Operand& operand)
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|     : kBuffer(std::move(buffer)),
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|       kSize(size),
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|       kRoles(std::move(roles)),
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|       kOperandType(operand.type),
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|       kInitialDimensions(operand.dimensions),
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|       mUpdatedDimensions(operand.dimensions) {
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|     CHECK(!isExtension(kOperandType));
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| }
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| 
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| ErrorStatus HalManagedBuffer::validateRequest(uint32_t poolIndex, const Request& request,
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|                                               const V1_3::IPreparedModel* preparedModel) const {
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|     CHECK_LT(poolIndex, request.pools.size());
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|     CHECK(std::holds_alternative<Request::MemoryDomainToken>(request.pools[poolIndex]));
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|     std::lock_guard<std::mutex> guard(mMutex);
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| 
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|     bool usedAsInput = false, usedAsOutput = false;
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|     for (uint32_t i = 0; i < request.inputs.size(); i++) {
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|         if (request.inputs[i].lifetime != Request::Argument::LifeTime::POOL) continue;
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|         if (request.inputs[i].location.poolIndex != poolIndex) continue;
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|         // Validate if the input role is specified during allocation.
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|         if (kRoles.count({preparedModel, IOType::INPUT, i}) == 0) {
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|             LOG(ERROR) << "HalManagedBuffer::validateRequest -- invalid buffer role.";
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|             return ErrorStatus::INVALID_ARGUMENT;
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|         }
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|         if (!mInitialized) {
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|             LOG(ERROR)
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|                     << "HalManagedBuffer::validateRequest -- using uninitialized buffer as input "
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|                        "request.";
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|             return ErrorStatus::GENERAL_FAILURE;
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|         }
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|         auto combined = combineDimensions(mUpdatedDimensions, request.inputs[i].dimensions);
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|         if (!combined.has_value()) {
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|             LOG(ERROR) << "HalManagedBuffer::validateRequest -- incompatible dimensions ("
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|                        << toString(mUpdatedDimensions) << " vs "
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|                        << toString(request.inputs[i].dimensions) << ")";
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|             return ErrorStatus::INVALID_ARGUMENT;
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|         }
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|         usedAsInput = true;
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|     }
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|     for (uint32_t i = 0; i < request.outputs.size(); i++) {
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|         if (request.outputs[i].lifetime != Request::Argument::LifeTime::POOL) continue;
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|         if (request.outputs[i].location.poolIndex != poolIndex) continue;
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|         if (usedAsInput || usedAsOutput) {
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|             LOG(ERROR) << "HalManagedBuffer::validateRequest -- using the same device memory for "
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|                           "input/output or multiple outputs";
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|             return ErrorStatus::INVALID_ARGUMENT;
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|         }
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|         // Validate if the output role is specified during allocation.
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|         if (kRoles.count({preparedModel, IOType::OUTPUT, i}) == 0) {
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|             LOG(ERROR) << "HalManagedBuffer::validateRequest -- invalid buffer role.";
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|             return ErrorStatus::INVALID_ARGUMENT;
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|         }
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|         auto combined = combineDimensions(kInitialDimensions, request.outputs[i].dimensions);
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|         if (!combined.has_value()) {
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|             LOG(ERROR) << "HalManagedBuffer::validateRequest -- incompatible dimensions ("
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|                        << toString(kInitialDimensions) << " vs "
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|                        << toString(request.outputs[i].dimensions) << ")";
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|             return ErrorStatus::INVALID_ARGUMENT;
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|         }
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|         usedAsOutput = true;
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|     }
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|     return ErrorStatus::NONE;
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| }
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| 
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| ErrorStatus HalManagedBuffer::validateCopyFrom(const std::vector<uint32_t>& dimensions,
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|                                                uint32_t size) const {
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|     if (size != kSize) {
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|         LOG(ERROR) << "HalManagedBuffer::validateCopyFrom -- invalid memory size: " << kSize
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|                    << " vs " << size;
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|         return ErrorStatus::INVALID_ARGUMENT;
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|     }
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| 
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|     if (nonExtensionOperandTypeIsScalar(static_cast<int>(kOperandType))) {
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|         if (!dimensions.empty()) {
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|             LOG(ERROR) << "HalManagedBuffer::validateCopyFrom -- invalid dimensions for scalar "
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|                           "operand: "
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|                        << toString(dimensions);
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|             return ErrorStatus::INVALID_ARGUMENT;
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|         }
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|         return ErrorStatus::NONE;
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|     }
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| 
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|     if (dimensions.empty()) {
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|         if (tensorHasUnspecifiedDimensions(kOperandType, kInitialDimensions)) {
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|             LOG(ERROR)
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|                     << "HalManagedBuffer::validateCopyFrom -- the initial dimensions are not fully "
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|                        "specified and no dimension update is provided: "
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|                     << toString(kInitialDimensions);
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|             return ErrorStatus::INVALID_ARGUMENT;
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|         }
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|     } else {
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|         if (tensorHasUnspecifiedDimensions(kOperandType, dimensions)) {
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|             LOG(ERROR)
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|                     << "HalManagedBuffer::validateCopyFrom -- the updated dimensions are not fully "
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|                        "specified: "
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|                     << toString(dimensions);
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|             return ErrorStatus::INVALID_ARGUMENT;
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|         }
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|     }
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| 
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|     const auto combined = combineDimensions(kInitialDimensions, dimensions);
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|     if (!combined.has_value()) {
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|         LOG(ERROR) << "HalManagedBuffer::validateCopyFrom -- incompatible dimensions ("
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|                    << toString(kInitialDimensions) << " vs " << toString(dimensions) << ")";
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|         return ErrorStatus::INVALID_ARGUMENT;
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|     }
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|     return ErrorStatus::NONE;
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| }
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| 
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| ErrorStatus HalManagedBuffer::validateCopyTo(uint32_t size) const {
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|     if (size != kSize) {
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|         LOG(ERROR) << "HalManagedBuffer::validateCopyTo -- invalid memory size: " << kSize << " vs "
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|                    << size;
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|         return ErrorStatus::INVALID_ARGUMENT;
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|     }
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|     std::lock_guard<std::mutex> guard(mMutex);
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|     if (!mInitialized) {
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|         LOG(ERROR) << "HalManagedBuffer::validateCopyTo -- using uninitialized buffer as source.";
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|         return ErrorStatus::GENERAL_FAILURE;
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|     }
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|     return ErrorStatus::NONE;
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| }
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| 
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| bool HalManagedBuffer::updateDimensions(const std::vector<uint32_t>& dimensions) {
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|     auto combined = combineDimensions(kInitialDimensions, dimensions);
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|     if (!combined.has_value()) {
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|         LOG(ERROR) << "HalManagedBuffer::updateDimensions -- incompatible dimensions ("
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|                    << toString(kInitialDimensions) << " vs " << toString(dimensions) << ")";
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|         return false;
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|     }
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|     std::lock_guard<std::mutex> guard(mMutex);
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|     mUpdatedDimensions = std::move(combined.value());
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|     return true;
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| }
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| 
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| void HalManagedBuffer::setInitialized(bool initialized) {
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|     std::lock_guard<std::mutex> guard(mMutex);
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|     mInitialized = initialized;
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| }
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| 
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| std::unique_ptr<HalBufferTracker::Token> HalBufferTracker::add(
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|         std::shared_ptr<HalManagedBuffer> buffer) {
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|     if (buffer == nullptr) {
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|         return nullptr;
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|     }
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|     std::lock_guard<std::mutex> guard(mMutex);
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|     uint32_t token = 0;
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|     if (mFreeTokens.empty()) {
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|         token = mTokenToBuffers.size();
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|         mTokenToBuffers.push_back(std::move(buffer));
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|     } else {
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|         token = mFreeTokens.top();
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|         mFreeTokens.pop();
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|         mTokenToBuffers[token] = std::move(buffer);
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|     }
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|     VLOG(MEMORY) << "HalBufferTracker::add -- new token = " << token;
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|     return std::make_unique<Token>(token, shared_from_this());
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| }
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| 
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| std::shared_ptr<HalManagedBuffer> HalBufferTracker::get(uint32_t token) const {
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|     std::lock_guard<std::mutex> guard(mMutex);
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|     if (mTokenToBuffers.size() <= token || mTokenToBuffers[token] == nullptr) {
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|         LOG(ERROR) << "HalBufferTracker::get -- unknown token " << token;
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|         return nullptr;
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|     }
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|     return mTokenToBuffers[token];
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| }
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| 
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| void HalBufferTracker::free(uint32_t token) {
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|     std::lock_guard<std::mutex> guard(mMutex);
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|     CHECK_LT(token, mTokenToBuffers.size());
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|     CHECK(mTokenToBuffers[token] != nullptr);
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|     VLOG(MEMORY) << "HalBufferTracker::free -- release token = " << token;
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|     mTokenToBuffers[token] = nullptr;
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|     mFreeTokens.push(token);
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| }
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| 
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| }  // namespace android::nn
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