| /* |
| * Copyright (c) 2020 Arm Limited. All rights reserved. |
| * |
| * SPDX-License-Identifier: Apache-2.0 |
| * |
| * 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 |
| * |
| * 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. |
| */ |
| |
| #include "autogen/tflite_schema.hpp" |
| |
| #include <ethosu.hpp> |
| #include <uapi/ethosu.h> |
| |
| #include <algorithm> |
| #include <exception> |
| #include <iostream> |
| |
| #include <fcntl.h> |
| #include <poll.h> |
| #include <sys/ioctl.h> |
| #include <sys/mman.h> |
| #include <unistd.h> |
| |
| using namespace std; |
| |
| namespace { |
| int eioctl(int fd, unsigned long cmd, void *data = nullptr) { |
| int ret = ::ioctl(fd, cmd, data); |
| if (ret < 0) { |
| throw EthosU::Exception("IOCTL failed"); |
| } |
| |
| return ret; |
| } |
| |
| /**************************************************************************** |
| * TFL micro helpers |
| ****************************************************************************/ |
| |
| size_t getShapeSize(const flatbuffers::Vector<int32_t> *shape) { |
| size_t size = 1; |
| |
| for (auto it = shape->begin(); it != shape->end(); ++it) { |
| size *= *it; |
| } |
| |
| return size; |
| } |
| |
| size_t getTensorTypeSize(const enum tflite::TensorType type) { |
| switch (type) { |
| case tflite::TensorType::TensorType_UINT8: |
| case tflite::TensorType::TensorType_INT8: |
| return 1; |
| case tflite::TensorType::TensorType_INT16: |
| return 2; |
| default: |
| throw EthosU::Exception("Unsupported tensor type"); |
| } |
| } |
| |
| vector<size_t> getSubGraphDims(const tflite::SubGraph *subgraph, const flatbuffers::Vector<int32_t> *tensorMap) { |
| vector<size_t> dims; |
| |
| for (auto index = tensorMap->begin(); index != tensorMap->end(); ++index) { |
| auto tensor = subgraph->tensors()->Get(*index); |
| size_t size = getShapeSize(tensor->shape()); |
| size *= getTensorTypeSize(tensor->type()); |
| |
| if (size > 0) { |
| dims.push_back(size); |
| } |
| } |
| |
| return dims; |
| } |
| |
| } // namespace |
| |
| namespace EthosU { |
| |
| /**************************************************************************** |
| * Exception |
| ****************************************************************************/ |
| |
| Exception::Exception(const char *msg) : msg(msg) {} |
| |
| Exception::~Exception() throw() {} |
| |
| const char *Exception::what() const throw() { |
| return msg.c_str(); |
| } |
| |
| /**************************************************************************** |
| * Device |
| ****************************************************************************/ |
| |
| Device::Device(const char *device) { |
| fd = open(device, O_RDWR | O_NONBLOCK); |
| if (fd < 0) { |
| throw Exception("Failed to open device"); |
| } |
| } |
| |
| Device::~Device() { |
| close(fd); |
| } |
| |
| int Device::ioctl(unsigned long cmd, void *data) { |
| return eioctl(fd, cmd, data); |
| } |
| |
| /**************************************************************************** |
| * Buffer |
| ****************************************************************************/ |
| |
| Buffer::Buffer(Device &device, const size_t capacity) : fd(-1), dataPtr(nullptr), dataCapacity(capacity) { |
| ethosu_uapi_buffer_create uapi = {static_cast<uint32_t>(dataCapacity)}; |
| fd = device.ioctl(ETHOSU_IOCTL_BUFFER_CREATE, static_cast<void *>(&uapi)); |
| |
| void *d = ::mmap(nullptr, dataCapacity, PROT_READ | PROT_WRITE, MAP_SHARED, fd, 0); |
| if (d == MAP_FAILED) { |
| throw Exception("MMap failed"); |
| } |
| |
| dataPtr = reinterpret_cast<char *>(d); |
| } |
| |
| Buffer::~Buffer() { |
| close(fd); |
| } |
| |
| size_t Buffer::capacity() const { |
| return dataCapacity; |
| } |
| |
| void Buffer::clear() { |
| resize(0, 0); |
| } |
| |
| char *Buffer::data() { |
| return dataPtr + offset(); |
| } |
| |
| void Buffer::resize(size_t size, size_t offset) { |
| ethosu_uapi_buffer uapi; |
| uapi.offset = offset; |
| uapi.size = size; |
| eioctl(fd, ETHOSU_IOCTL_BUFFER_SET, static_cast<void *>(&uapi)); |
| } |
| |
| size_t Buffer::offset() const { |
| ethosu_uapi_buffer uapi; |
| eioctl(fd, ETHOSU_IOCTL_BUFFER_GET, static_cast<void *>(&uapi)); |
| return uapi.offset; |
| } |
| |
| size_t Buffer::size() const { |
| ethosu_uapi_buffer uapi; |
| eioctl(fd, ETHOSU_IOCTL_BUFFER_GET, static_cast<void *>(&uapi)); |
| return uapi.size; |
| } |
| |
| int Buffer::getFd() const { |
| return fd; |
| } |
| |
| /**************************************************************************** |
| * Network |
| ****************************************************************************/ |
| |
| Network::Network(Device &device, shared_ptr<Buffer> &buffer) : fd(-1), buffer(buffer) { |
| // Create buffer handle |
| ethosu_uapi_network_create uapi; |
| uapi.fd = buffer->getFd(); |
| fd = device.ioctl(ETHOSU_IOCTL_NETWORK_CREATE, static_cast<void *>(&uapi)); |
| |
| // Create model handle |
| const tflite::Model *model = tflite::GetModel(reinterpret_cast<void *>(buffer->data())); |
| |
| // Get input dimensions for first subgraph |
| auto *subgraph = *model->subgraphs()->begin(); |
| ifmDims = getSubGraphDims(subgraph, subgraph->inputs()); |
| |
| // Get output dimensions for last subgraph |
| subgraph = *model->subgraphs()->rbegin(); |
| ofmDims = getSubGraphDims(subgraph, subgraph->outputs()); |
| } |
| |
| Network::~Network() { |
| close(fd); |
| } |
| |
| int Network::ioctl(unsigned long cmd, void *data) { |
| return eioctl(fd, cmd, data); |
| } |
| |
| shared_ptr<Buffer> Network::getBuffer() { |
| return buffer; |
| } |
| |
| const std::vector<size_t> &Network::getIfmDims() const { |
| return ifmDims; |
| } |
| |
| size_t Network::getIfmSize() const { |
| size_t size = 0; |
| |
| for (auto s : ifmDims) { |
| size += s; |
| } |
| |
| return size; |
| } |
| |
| const std::vector<size_t> &Network::getOfmDims() const { |
| return ofmDims; |
| } |
| |
| size_t Network::getOfmSize() const { |
| size_t size = 0; |
| |
| for (auto s : ofmDims) { |
| size += s; |
| } |
| |
| return size; |
| } |
| |
| /**************************************************************************** |
| * Inference |
| ****************************************************************************/ |
| |
| Inference::~Inference() { |
| close(fd); |
| } |
| |
| void Inference::create(std::vector<uint32_t> &counterConfigs, bool cycleCounterEnable = false) { |
| ethosu_uapi_inference_create uapi; |
| |
| if (ifmBuffers.size() > ETHOSU_FD_MAX) { |
| throw Exception("IFM buffer overflow"); |
| } |
| |
| if (ofmBuffers.size() > ETHOSU_FD_MAX) { |
| throw Exception("OFM buffer overflow"); |
| } |
| |
| if (counterConfigs.size() != ETHOSU_PMU_EVENT_MAX) { |
| throw Exception("Wrong size of counter configurations"); |
| } |
| |
| uapi.ifm_count = 0; |
| for (auto it : ifmBuffers) { |
| uapi.ifm_fd[uapi.ifm_count++] = it->getFd(); |
| } |
| |
| uapi.ofm_count = 0; |
| for (auto it : ofmBuffers) { |
| uapi.ofm_fd[uapi.ofm_count++] = it->getFd(); |
| } |
| |
| for (int i = 0; i < ETHOSU_PMU_EVENT_MAX; i++) { |
| uapi.pmu_config.events[i] = counterConfigs[i]; |
| } |
| |
| uapi.pmu_config.cycle_count = cycleCounterEnable; |
| |
| fd = network->ioctl(ETHOSU_IOCTL_INFERENCE_CREATE, static_cast<void *>(&uapi)); |
| } |
| |
| std::vector<uint32_t> Inference::initializeCounterConfig() { |
| return std::vector<uint32_t>(ETHOSU_PMU_EVENT_MAX, 0); |
| } |
| |
| uint32_t Inference::getMaxPmuEventCounters() { |
| return ETHOSU_PMU_EVENT_MAX; |
| } |
| |
| int Inference::wait(int timeoutSec) { |
| pollfd pfd; |
| |
| pfd.fd = fd; |
| pfd.events = POLLIN | POLLERR; |
| pfd.revents = 0; |
| |
| int ret = ::poll(&pfd, 1, timeoutSec * 1000); |
| |
| cout << "Poll. ret=" << ret << ", revents=" << pfd.revents << endl; |
| |
| return ret; |
| } |
| |
| bool Inference::failed() { |
| ethosu_uapi_result_status uapi; |
| |
| eioctl(fd, ETHOSU_IOCTL_INFERENCE_STATUS, static_cast<void *>(&uapi)); |
| |
| return uapi.status != ETHOSU_UAPI_STATUS_OK; |
| } |
| |
| const std::vector<uint32_t> Inference::getPmuCounters() { |
| ethosu_uapi_result_status uapi; |
| std::vector<uint32_t> counterValues = std::vector<uint32_t>(ETHOSU_PMU_EVENT_MAX, 0); |
| |
| eioctl(fd, ETHOSU_IOCTL_INFERENCE_STATUS, static_cast<void *>(&uapi)); |
| |
| for (int i = 0; i < ETHOSU_PMU_EVENT_MAX; i++) { |
| if (uapi.pmu_config.events[i]) { |
| counterValues.at(i) = uapi.pmu_count.events[i]; |
| } |
| } |
| |
| return counterValues; |
| } |
| |
| uint64_t Inference::getCycleCounter() { |
| ethosu_uapi_result_status uapi; |
| |
| eioctl(fd, ETHOSU_IOCTL_INFERENCE_STATUS, static_cast<void *>(&uapi)); |
| |
| return uapi.pmu_count.cycle_count; |
| } |
| |
| int Inference::getFd() { |
| return fd; |
| } |
| |
| shared_ptr<Network> Inference::getNetwork() { |
| return network; |
| } |
| |
| vector<shared_ptr<Buffer>> &Inference::getIfmBuffers() { |
| return ifmBuffers; |
| } |
| |
| vector<shared_ptr<Buffer>> &Inference::getOfmBuffers() { |
| return ofmBuffers; |
| } |
| |
| } // namespace EthosU |