Files
Jason Wen acd46aa94b modeld: retain SNPE and thneed drive model support (#555)
* modeld: Retain pre-20hz drive model support

* Method not available anymore on OP

* some fixes

* Revert "Long planner get accel: new function args (#34288)"

* Revert "Fix low-speed allow_throttle behavior in long planner (#33894)"

* Revert "long planner: allow throttle reflects usage (#33792)"

* Revert "Gate acceleration on model gas press predictions (#33643)"

* Reapply "Gate acceleration on model gas press predictions (#33643)"

This reverts commit 76b08e37cb8eb94266ad9f6fed80db227e7c3428.

* Reapply "long planner: allow throttle reflects usage (#33792)"

This reverts commit c75244ca4e9c48084b0205b7c871e1a4e0f4e693.

* Reapply "Fix low-speed allow_throttle behavior in long planner (#33894)"

This reverts commit b2b7d21b7b685a2785d1beede3d223f0bb954807.

* Reapply "Long planner get accel: new function args (#34288)"

This reverts commit 74dca2fccf4da59cc8ac62ba9c0ad10ba3fc264b.

* don't need

* retain snpe

* wrong

* they're symlinks

* remove

* put back into VCS

* add back

* don't include built

* Refactor model runner retrieval with caching support

Added caching for active model runner type via `ModelRunnerTypeCache` to enhance performance and avoid redundant checks. Introduced a `force_check` flag to bypass the cache when necessary. Updated related code to handle cache clearing during onroad transitions.

* Update model runner determination logic with caching fix

Enhances `get_active_model_runner` to utilize caching more effectively by ensuring type consistency and updating cache only when necessary. Also updates `is_snpe_model` to pass the `started` state to the runner determination function, improving behavior for dynamic checks.

* default to none

* enable in next PR

* more

---------

Co-authored-by: DevTekVE <devtekve@gmail.com>
2025-01-10 18:34:06 -05:00

134 lines
2.9 KiB
C++

#pragma once
#ifndef __user
#define __user __attribute__(())
#endif
#include <cstdint>
#include <cstdlib>
#include <memory>
#include <string>
#include <vector>
#include <CL/cl.h>
#include "third_party/linux/include/msm_kgsl.h"
using namespace std;
cl_int thneed_clSetKernelArg(cl_kernel kernel, cl_uint arg_index, size_t arg_size, const void *arg_value);
namespace json11 {
class Json;
}
class Thneed;
class GPUMalloc {
public:
GPUMalloc(int size, int fd);
~GPUMalloc();
void *alloc(int size);
private:
uint64_t base;
int remaining;
};
class CLQueuedKernel {
public:
CLQueuedKernel(Thneed *lthneed) { thneed = lthneed; }
CLQueuedKernel(Thneed *lthneed,
cl_kernel _kernel,
cl_uint _work_dim,
const size_t *_global_work_size,
const size_t *_local_work_size);
cl_int exec();
void debug_print(bool verbose);
int get_arg_num(const char *search_arg_name);
cl_program program;
string name;
cl_uint num_args;
vector<string> arg_names;
vector<string> arg_types;
vector<string> args;
vector<int> args_size;
cl_kernel kernel = NULL;
json11::Json to_json() const;
cl_uint work_dim;
size_t global_work_size[3] = {0};
size_t local_work_size[3] = {0};
private:
Thneed *thneed;
};
class CachedIoctl {
public:
virtual void exec() {}
};
class CachedSync: public CachedIoctl {
public:
CachedSync(Thneed *lthneed, string ldata) { thneed = lthneed; data = ldata; }
void exec();
private:
Thneed *thneed;
string data;
};
class CachedCommand: public CachedIoctl {
public:
CachedCommand(Thneed *lthneed, struct kgsl_gpu_command *cmd);
void exec();
private:
void disassemble(int cmd_index);
struct kgsl_gpu_command cache;
unique_ptr<kgsl_command_object[]> cmds;
unique_ptr<kgsl_command_object[]> objs;
Thneed *thneed;
vector<shared_ptr<CLQueuedKernel> > kq;
};
class Thneed {
public:
Thneed(bool do_clinit=false, cl_context _context = NULL);
void stop();
void execute(float **finputs, float *foutput, bool slow=false);
void wait();
vector<cl_mem> input_clmem;
vector<void *> inputs;
vector<size_t> input_sizes;
cl_mem output = NULL;
cl_context context = NULL;
cl_command_queue command_queue;
cl_device_id device_id;
int context_id;
// protected?
bool record = false;
int debug;
int timestamp;
#ifdef QCOM2
unique_ptr<GPUMalloc> ram;
vector<unique_ptr<CachedIoctl> > cmds;
int fd;
#endif
// all CL kernels
void copy_inputs(float **finputs, bool internal=false);
void copy_output(float *foutput);
cl_int clexec();
vector<shared_ptr<CLQueuedKernel> > kq;
// pending CL kernels
vector<shared_ptr<CLQueuedKernel> > ckq;
// loading
void load(const char *filename);
private:
void clinit();
};