Files
StarPilot/selfdrive/modeld/runners/onnxmodel.cc
T
ZwX1616 cd2a98aa11 fullframe DM model (#24860)
* Revert "put cereal on master"

This reverts commit 4646c132bae7358079c9b2867725f8382906c1e5.

* Revert "Revert fullframe DM model (#24812)"

This reverts commit 59e8af4c3101785cead69a9880cc03e0a18081e1.

* revert revert cereal

* clip6

* 0.8 is fair

* Fiction compensation should be based on error

* Update refs

* Add deadzone

* not that

* good mg

* ref

* ref

* ee8f

* minor tweak

* ref

* recompile

* ref

* cereal

* match driverstatus

* new ref

* new ref

* pass token through jenkins credentials

* quote

* fix snpe dead weights

* final ref

Co-authored-by: Harald Schafer <harald.the.engineer@gmail.com>
Co-authored-by: Adeeb Shihadeh <adeebshihadeh@gmail.com>
old-commit-hash: 1f2f9ea9c9dc37bdea9c6e32e4cb8f88ea0a34bf
2022-06-20 16:24:51 -07:00

143 lines
3.5 KiB
C++

#include "selfdrive/modeld/runners/onnxmodel.h"
#include <poll.h>
#include <unistd.h>
#include <cassert>
#include <csignal>
#include <cstdio>
#include <cstdlib>
#include <cstring>
#include <stdexcept>
#include <string>
#include "common/swaglog.h"
#include "common/util.h"
ONNXModel::ONNXModel(const char *path, float *_output, size_t _output_size, int runtime, bool _use_extra, bool _use_tf8) {
LOGD("loading model %s", path);
output = _output;
output_size = _output_size;
use_extra = _use_extra;
use_tf8 = _use_tf8;
int err = pipe(pipein);
assert(err == 0);
err = pipe(pipeout);
assert(err == 0);
std::string exe_dir = util::dir_name(util::readlink("/proc/self/exe"));
std::string onnx_runner = exe_dir + "/runners/onnx_runner.py";
std::string tf8_arg = use_tf8 ? "--use_tf8" : "";
proc_pid = fork();
if (proc_pid == 0) {
LOGD("spawning onnx process %s", onnx_runner.c_str());
char *argv[] = {(char*)onnx_runner.c_str(), (char*)path, (char*)tf8_arg.c_str(), nullptr};
dup2(pipein[0], 0);
dup2(pipeout[1], 1);
close(pipein[0]);
close(pipein[1]);
close(pipeout[0]);
close(pipeout[1]);
execvp(onnx_runner.c_str(), argv);
}
// parent
close(pipein[0]);
close(pipeout[1]);
}
ONNXModel::~ONNXModel() {
close(pipein[1]);
close(pipeout[0]);
kill(proc_pid, SIGTERM);
}
void ONNXModel::pwrite(float *buf, int size) {
char *cbuf = (char *)buf;
int tw = size*sizeof(float);
while (tw > 0) {
int err = write(pipein[1], cbuf, tw);
//printf("host write %d\n", err);
assert(err >= 0);
cbuf += err;
tw -= err;
}
LOGD("host write of size %d done", size);
}
void ONNXModel::pread(float *buf, int size) {
char *cbuf = (char *)buf;
int tr = size*sizeof(float);
struct pollfd fds[1];
fds[0].fd = pipeout[0];
fds[0].events = POLLIN;
while (tr > 0) {
int err;
err = poll(fds, 1, 10000); // 10 second timeout
assert(err == 1 || (err == -1 && errno == EINTR));
LOGD("host read remaining %d/%d poll %d", tr, size*sizeof(float), err);
err = read(pipeout[0], cbuf, tr);
assert(err > 0 || (err == 0 && errno == EINTR));
cbuf += err;
tr -= err;
}
LOGD("host read done");
}
void ONNXModel::addRecurrent(float *state, int state_size) {
rnn_input_buf = state;
rnn_state_size = state_size;
}
void ONNXModel::addDesire(float *state, int state_size) {
desire_input_buf = state;
desire_state_size = state_size;
}
void ONNXModel::addTrafficConvention(float *state, int state_size) {
traffic_convention_input_buf = state;
traffic_convention_size = state_size;
}
void ONNXModel::addCalib(float *state, int state_size) {
calib_input_buf = state;
calib_size = state_size;
}
void ONNXModel::addImage(float *image_buf, int buf_size) {
image_input_buf = image_buf;
image_buf_size = buf_size;
}
void ONNXModel::addExtra(float *image_buf, int buf_size) {
extra_input_buf = image_buf;
extra_buf_size = buf_size;
}
void ONNXModel::execute() {
// order must be this
if (image_input_buf != NULL) {
pwrite(image_input_buf, image_buf_size);
}
if (extra_input_buf != NULL) {
pwrite(extra_input_buf, extra_buf_size);
}
if (desire_input_buf != NULL) {
pwrite(desire_input_buf, desire_state_size);
}
if (traffic_convention_input_buf != NULL) {
pwrite(traffic_convention_input_buf, traffic_convention_size);
}
if (calib_input_buf != NULL) {
pwrite(calib_input_buf, calib_size);
}
if (rnn_input_buf != NULL) {
pwrite(rnn_input_buf, rnn_state_size);
}
pread(output, output_size);
}