Files
StarPilot/sunnypilot/modeld/transforms/transform.cc
T
Jason Wen f84d27c4ee models: retain SNPE runner support (#522)
* tinygrad with snpe

* force with snpe to validate

* fix path

* fix more paths

* Adjust modeld execution logic based on active model runner

Introduced a check to conditionally execute `modeld` based on the active model runner. Added support for distinguishing between SNPE and TinyGrad runners using new helper functions and updated `custom.capnp` definitions. This change optimizes process management by ensuring compatibility with the selected model runner.

* Refactor modeld process function checks.

Introduce `is_stock_model` to clarify logic and replace direct uses of `is_snpe_model` where the stock model condition is needed. Additionally, rename the duplicate "modeld" process in sunnyPilot to "modeld_snpe" for clarity and consistency.

* ignore tg

* fix process name

* ruff

* fix thneed paths

* mypy

* remove our own

* use upstream compile3

* fix thneed

* try this

* Revert "remove our own"

This reverts commit 1cf4f57502565c274628e185c66f1eb04c4d9bbe.

* try using compile2.py again

* add back symlink

* fix path

* more fix

* wrong path again

* Revert "wrong path again"

This reverts commit f5301c19d594defb23cda2604168bcb02c830f3e.

* update

* hardcode path to our submodule

* force path

* try this

* fix file name

* try this

* again

* Revert "again"

This reverts commit 17c8cd73768a2de5aaf2a34d202aa6f03d59d72d.

* Revert "try this"

This reverts commit 767f78bbcf17b08edbc20f283d10a1990bf4264f.

* Revert "fix file name"

This reverts commit 485eef68da981da571fe9a9ebf3aecdb95e5588c.

* Revert "try this"

This reverts commit 41fef87680cdda1ba8cbd7e5c59256e6c57010a0.

* Revert "force path"

This reverts commit 5c3b408937bff0f61b150971b328d127501c5bf0.

* Revert "hardcode path to our submodule"

This reverts commit 5ee1950b6f4fce73e7e73b6971b996a9989d0a93.

* Revert "update"

This reverts commit fb313bd7fbeb50111f3c4a11137b4cfd9cabc3fa.

* Reapply "wrong path again"

This reverts commit 309639aeb3575e20b215bbbcc27e48923ee95c87.

* Revert "wrong path again"

This reverts commit f5301c19d594defb23cda2604168bcb02c830f3e.

* Revert "more fix"

This reverts commit 23dd423e78e60bd6a0bd73e921bfba9a5aad88bd.

* Revert "fix path"

This reverts commit 75d338f2bda2dfa77044e33f4c6553390621b13b.

* Revert "add back symlink"

This reverts commit 9f71ad0b8ae2068e431c455af9d4f954d024eec7.

* Revert "try using compile2.py again"

This reverts commit 914117d2e1c6c4270f7bef1a5305847a1d7bab17.

* Reapply "remove our own"

This reverts commit b1996377b346658f2094cba9032a66230784cb3e.

* don't even compile anymore

* need it for default snpe model

* add to lfs

* bring onnx back for sim

* must add this back

* need this

---------

Co-authored-by: DevTekVE <devtekve@gmail.com>
2025-01-05 17:47:27 -05:00

98 lines
4.5 KiB
C++

#include "selfdrive/modeld/transforms/transform.h"
#include <cassert>
#include <cstring>
#include "common/clutil.h"
void transform_init(Transform* s, cl_context ctx, cl_device_id device_id) {
memset(s, 0, sizeof(*s));
cl_program prg = cl_program_from_file(ctx, device_id, TRANSFORM_PATH, "");
s->krnl = CL_CHECK_ERR(clCreateKernel(prg, "warpPerspective", &err));
// done with this
CL_CHECK(clReleaseProgram(prg));
s->m_y_cl = CL_CHECK_ERR(clCreateBuffer(ctx, CL_MEM_READ_WRITE, 3*3*sizeof(float), NULL, &err));
s->m_uv_cl = CL_CHECK_ERR(clCreateBuffer(ctx, CL_MEM_READ_WRITE, 3*3*sizeof(float), NULL, &err));
}
void transform_destroy(Transform* s) {
CL_CHECK(clReleaseMemObject(s->m_y_cl));
CL_CHECK(clReleaseMemObject(s->m_uv_cl));
CL_CHECK(clReleaseKernel(s->krnl));
}
void transform_queue(Transform* s,
cl_command_queue q,
cl_mem in_yuv, int in_width, int in_height, int in_stride, int in_uv_offset,
cl_mem out_y, cl_mem out_u, cl_mem out_v,
int out_width, int out_height,
const mat3& projection) {
const int zero = 0;
// sampled using pixel center origin
// (because that's how fastcv and opencv does it)
mat3 projection_y = projection;
// in and out uv is half the size of y.
mat3 projection_uv = transform_scale_buffer(projection, 0.5);
CL_CHECK(clEnqueueWriteBuffer(q, s->m_y_cl, CL_TRUE, 0, 3*3*sizeof(float), (void*)projection_y.v, 0, NULL, NULL));
CL_CHECK(clEnqueueWriteBuffer(q, s->m_uv_cl, CL_TRUE, 0, 3*3*sizeof(float), (void*)projection_uv.v, 0, NULL, NULL));
const int in_y_width = in_width;
const int in_y_height = in_height;
const int in_y_px_stride = 1;
const int in_uv_width = in_width/2;
const int in_uv_height = in_height/2;
const int in_uv_px_stride = 2;
const int in_u_offset = in_uv_offset;
const int in_v_offset = in_uv_offset + 1;
const int out_y_width = out_width;
const int out_y_height = out_height;
const int out_uv_width = out_width/2;
const int out_uv_height = out_height/2;
CL_CHECK(clSetKernelArg(s->krnl, 0, sizeof(cl_mem), &in_yuv)); // src
CL_CHECK(clSetKernelArg(s->krnl, 1, sizeof(cl_int), &in_stride)); // src_row_stride
CL_CHECK(clSetKernelArg(s->krnl, 2, sizeof(cl_int), &in_y_px_stride)); // src_px_stride
CL_CHECK(clSetKernelArg(s->krnl, 3, sizeof(cl_int), &zero)); // src_offset
CL_CHECK(clSetKernelArg(s->krnl, 4, sizeof(cl_int), &in_y_height)); // src_rows
CL_CHECK(clSetKernelArg(s->krnl, 5, sizeof(cl_int), &in_y_width)); // src_cols
CL_CHECK(clSetKernelArg(s->krnl, 6, sizeof(cl_mem), &out_y)); // dst
CL_CHECK(clSetKernelArg(s->krnl, 7, sizeof(cl_int), &out_y_width)); // dst_row_stride
CL_CHECK(clSetKernelArg(s->krnl, 8, sizeof(cl_int), &zero)); // dst_offset
CL_CHECK(clSetKernelArg(s->krnl, 9, sizeof(cl_int), &out_y_height)); // dst_rows
CL_CHECK(clSetKernelArg(s->krnl, 10, sizeof(cl_int), &out_y_width)); // dst_cols
CL_CHECK(clSetKernelArg(s->krnl, 11, sizeof(cl_mem), &s->m_y_cl)); // M
const size_t work_size_y[2] = {(size_t)out_y_width, (size_t)out_y_height};
CL_CHECK(clEnqueueNDRangeKernel(q, s->krnl, 2, NULL,
(const size_t*)&work_size_y, NULL, 0, 0, NULL));
const size_t work_size_uv[2] = {(size_t)out_uv_width, (size_t)out_uv_height};
CL_CHECK(clSetKernelArg(s->krnl, 2, sizeof(cl_int), &in_uv_px_stride)); // src_px_stride
CL_CHECK(clSetKernelArg(s->krnl, 3, sizeof(cl_int), &in_u_offset)); // src_offset
CL_CHECK(clSetKernelArg(s->krnl, 4, sizeof(cl_int), &in_uv_height)); // src_rows
CL_CHECK(clSetKernelArg(s->krnl, 5, sizeof(cl_int), &in_uv_width)); // src_cols
CL_CHECK(clSetKernelArg(s->krnl, 6, sizeof(cl_mem), &out_u)); // dst
CL_CHECK(clSetKernelArg(s->krnl, 7, sizeof(cl_int), &out_uv_width)); // dst_row_stride
CL_CHECK(clSetKernelArg(s->krnl, 8, sizeof(cl_int), &zero)); // dst_offset
CL_CHECK(clSetKernelArg(s->krnl, 9, sizeof(cl_int), &out_uv_height)); // dst_rows
CL_CHECK(clSetKernelArg(s->krnl, 10, sizeof(cl_int), &out_uv_width)); // dst_cols
CL_CHECK(clSetKernelArg(s->krnl, 11, sizeof(cl_mem), &s->m_uv_cl)); // M
CL_CHECK(clEnqueueNDRangeKernel(q, s->krnl, 2, NULL,
(const size_t*)&work_size_uv, NULL, 0, 0, NULL));
CL_CHECK(clSetKernelArg(s->krnl, 3, sizeof(cl_int), &in_v_offset)); // src_ofset
CL_CHECK(clSetKernelArg(s->krnl, 6, sizeof(cl_mem), &out_v)); // dst
CL_CHECK(clEnqueueNDRangeKernel(q, s->krnl, 2, NULL,
(const size_t*)&work_size_uv, NULL, 0, 0, NULL));
}