IQ.Pilot Release Commit @ bec7652

This commit is contained in:
IQ.Lvbs history cleanup
2026-08-22 23:42:41 -05:00
commit 58039e647c
4603 changed files with 1236178 additions and 0 deletions

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#!/usr/bin/sh
clang2py msm_kgsl.h -o msm_kgsl.py

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# type: ignore
import ctypes, ctypes.util, struct, fcntl, re
from hexdump import hexdump
from copy import deepcopy
import pathlib, sys
from tinygrad.helpers import to_mv, getenv
from tinygrad.runtime.autogen import mesa
sys.path.append(pathlib.Path(__file__).parent.parent.parent.as_posix())
IOCTL = getenv("IOCTL", 0)
ops = {}
import xml.etree.ElementTree as ET
xml = ET.parse(pathlib.Path(__file__).parent / "adreno_pm4.xml")
for child in xml.getroot():
if 'name' in child.attrib and child.attrib['name'] == "adreno_pm4_type3_packets":
for sc in child:
if 'name' in sc.attrib and ('variants' not in sc.attrib or sc.attrib['variants'] != "A2XX"):
ops[int(sc.attrib['value'], 0x10)] = sc.attrib['name']
#print(ops)
#exit(0)
CAPTURED_STATE = {}
REGS = {}
for k, v in mesa.__dict__.items():
if k.startswith("REG_") and isinstance(v, int) and v > 1024: REGS[v] = k
from extra.qcom_gpu_driver import msm_kgsl
def ioctls_from_header():
hdr = (pathlib.Path(__file__).parent.parent.parent / "extra/qcom_gpu_driver/msm_kgsl.h").read_text().replace("\\\n", "")
pattern = r'#define\s+(IOCTL_KGSL_[A-Z0-9_]+)\s+_IOWR?\(KGSL_IOC_TYPE,\s+(0x[0-9a-fA-F]+),\s+struct\s([A-Za-z0-9_]+)\)'
matches = re.findall(pattern, hdr, re.MULTILINE)
return {int(nr, 0x10):(name, getattr(msm_kgsl, "struct_"+sname)) for name, nr, sname in matches}
nrs = ioctls_from_header()
# https://github.com/ensc/dietlibc/blob/master/include/sys/aarch64-ioctl.h
def get_struct(argp, stype):
return ctypes.cast(ctypes.c_void_p(argp), ctypes.POINTER(stype)).contents
def format_struct(s):
sdats = []
for field_name, *_ in s._fields_:
if field_name in {"__pad", "PADDING_0"}: continue
dat = getattr(s, field_name)
if isinstance(dat, int): sdats.append(f"{field_name}:0x{dat:X}")
else: sdats.append(f"{field_name}:{dat}")
return sdats
import mmap
mmaped = {}
def get_mem(addr, vlen):
for k,v in mmaped.items():
if k <= addr and addr < k+len(v):
return v[addr-k:addr-k+vlen]
# hope it was mmapped by someone else
return bytes(to_mv(addr, vlen))
def hprint(vals):
ret = []
for v in vals:
if v > 31: ret.append(f"{v:#x}")
else: ret.append(f"{v}")
return f"({','.join(ret)})"
ST6_SHADER = 0
ST6_CONSTANTS = 1
ST6_UBO = 2
ST6_IBO = 3
SB6_CS_TEX = 5
SB6_CS_SHADER = 13
def parse_cmd_buf(dat):
global CAPTURED_STATE
ptr = 0
while ptr < len(dat):
cmd = struct.unpack("I", dat[ptr:ptr+4])[0]
if (cmd>>24) == 0x70:
# packet with opcode and opcode specific payload (replace pkt3 starting with a5xx)
opcode, size = ((cmd>>16)&0x7F), cmd&0x3FFF
vals = struct.unpack("I"*size, dat[ptr+4:ptr+4+4*size])
if IOCTL > 0: print(f"{ptr:3X} -- typ 7: {size=:3d}, {opcode=:#x} {ops[opcode]}", hprint(vals))
if ops[opcode] == "CP_LOAD_STATE6_FRAG": # for compute shaders CP_LOAD_STATE6_FRAG is used
dst_off = vals[0] & 0x3FFF
state_type = (vals[0]>>14) & 0x3
state_src = (vals[0]>>16) & 0x3
state_block = (vals[0]>>18) & 0xF # 13 = SB4_CS_SHADER
num_unit = vals[0]>>22
if IOCTL > 0: print(f"{num_unit=} {state_block=} {state_src=} {state_type=} {dst_off=}")
if "LOAD_FRAGS" not in CAPTURED_STATE: CAPTURED_STATE['LOAD_FRAGS'] = []
CAPTURED_STATE['LOAD_FRAGS'].append((state_block, state_type, num_unit, dst_off))
if state_block == SB6_CS_SHADER:
from tinygrad.runtime.support.compiler_mesa import disas_adreno
if state_type == ST6_SHADER and IOCTL > 3:
disas_adreno(get_mem(((vals[2] << 32) | vals[1]), num_unit * 128))
if state_type == ST6_CONSTANTS:
x = get_mem(((vals[2] << 32) | vals[1]), num_unit*4)
CAPTURED_STATE['constants'] = x[:]
if IOCTL > 2:
print('constants')
hexdump(x)
if state_type == ST6_IBO:
if state_src == 0x1:
ibos_bytes = get_mem(CAPTURED_STATE['bindless_base'] + ((vals[2] << 32) | vals[1]) * 4, num_unit * 64)
else: ibos_bytes = get_mem((vals[2] << 32) | vals[1], num_unit * 16 * 4)
CAPTURED_STATE['ibos'] = ibos_bytes[:]
if IOCTL > 1:
print('texture ibos')
hexdump(ibos_bytes)
elif state_block == SB6_CS_TEX:
if state_type == ST6_SHADER:
if state_src == 0x1:
samplers_bytes = get_mem(CAPTURED_STATE['bindless_base'] + ((vals[2] << 32) | vals[1]) * 4, num_unit * 64)
else: samplers_bytes = get_mem((vals[2] << 32) | vals[1], num_unit * 4 * 4)
CAPTURED_STATE['samplers'] = samplers_bytes[:]
if IOCTL > 1:
print('texture samplers')
hexdump(samplers_bytes)
if state_type == ST6_CONSTANTS:
if state_src == 0x1:
descriptors_bytes = get_mem(CAPTURED_STATE['bindless_base'] + ((vals[2] << 32) | vals[1]) * 4, num_unit * 64)
else: descriptors_bytes = get_mem((vals[2] << 32) | vals[1], 1600)
CAPTURED_STATE['descriptors'] = descriptors_bytes[:]
if IOCTL > 1:
print('texture descriptors')
hexdump(descriptors_bytes)
elif ops[opcode] == "CP_REG_TO_MEM":
reg, cnt, b64, accum = vals[0] & 0x3FFFF, (vals[0] >> 18) & 0xFFF, (vals[0] >> 30) & 0x1, (vals[0] >> 31) & 0x1
dest = vals[1] | (vals[2] << 32)
if IOCTL > 0: print(f"{reg=} {cnt=} {b64=} {accum=} {dest=:#x}")
ptr += 4*size
elif (cmd>>28) == 0x4:
# write one or more registers (replace pkt0 starting with a5xx)
offset, size = ((cmd>>8)&0x7FFFF), cmd&0x7F
reg_name = REGS.get(offset, f"reg {offset=:#x}")
vals = struct.unpack("I"*size, dat[ptr+4:ptr+4+4*size])
if IOCTL > 0: print(f"{ptr:3X} -- typ 4: {size=:3d}, {reg_name}", hprint(vals))
for vi,v in enumerate(vals): CAPTURED_STATE[offset+vi] = v
if offset == mesa.REG_A6XX_SP_CS_CONFIG:
val = vals[0]
if IOCTL > 0:
print(f"\tBINDLESS_TEX={(val >> 0) & 0b1}")
print(f"\tBINDLESS_SAMP={(val >> 1) & 0b1}")
print(f"\tBINDLESS_IBO={(val >> 2) & 0b1}")
print(f"\tBINDLESS_UBO={(val >> 3) & 0b1}")
print(f"\tEN={(val >> 8) & 0b1}")
print(f"\tNTEX={(val >> 9) & 0b11111111}")
print(f"\tNSAMP={(val >> 17) & 0b11111}")
print(f"\tNIBO={(val >> 22) & 0b1111111}")
if offset == 0xa9b0:
if IOCTL > 0:
print(f'THREADSIZE-{(vals[0] >> 20)&0x1}\nEARLYPREAMBLE-{(vals[0] >> 23) & 0x1}\nMERGEDREGS-{(vals[0] >> 3) & 0x1}\nTHREADMODE-{vals[0] & 0x1}\nHALFREGFOOTPRINT-{(vals[0] >> 1) & 0x3f}\nFULLREGFOOTPRINT-{(vals[0] >> 7) & 0x3f}\nBRANCHSTACK-{(vals[0] >> 14) & 0x3f}\n')
print(f'SP_CS_UNKNOWN_A9B1-{vals[1]}\nSP_CS_BRANCH_COND-{vals[2]}\nSP_CS_OBJ_FIRST_EXEC_OFFSET-{vals[3]}\nSP_CS_OBJ_START-{vals[4] | (vals[5] << 32)}\nSP_CS_PVT_MEM_PARAM-{vals[6]}\nSP_CS_PVT_MEM_ADDR-{vals[7] | (vals[8] << 32)}\nSP_CS_PVT_MEM_SIZE-{vals[9]}')
if offset == 0xa9e8:
CAPTURED_STATE['bindless_base'] = (vals[0] | (vals[1] << 32)) & ~0b11
# print(hex(CAPTURED_STATE['bindless_base']))
# hexdump(get_mem(CAPTURED_STATE['bindless_base'], 0x200))
if offset == 0xb180:
if IOCTL > 0:
print('border color offset', hex(vals[1] << 32 | vals[0]))
hexdump(get_mem(vals[1] << 32 | vals[0], 0x200))
ptr += 4*size
else:
if IOCTL > 0:
print("unk", hex(cmd))
ptr += 4
@ctypes.CFUNCTYPE(ctypes.c_int, ctypes.c_int, ctypes.c_ulong, ctypes.c_void_p)
def ioctl(fd, request, argp):
ret = libc.syscall(0x1d, ctypes.c_int(fd), ctypes.c_ulong(request), ctypes.c_void_p(argp))
idir, size, itype, nr = (request>>30), (request>>16)&0x3FFF, (request>>8)&0xFF, request&0xFF
if nr in nrs and itype == 9:
name, stype = nrs[nr]
s = get_struct(argp, stype)
if IOCTL > 0: print(f"{ret:2d} = {name:40s}", ' '.join(format_struct(s)))
if name == "IOCTL_KGSL_GPUOBJ_INFO":
mmaped[s.gpuaddr] = mmap.mmap(fd, s.size, offset=s.id*0x1000)
if name == "IOCTL_KGSL_GPU_COMMAND":
for i in range(s.numcmds):
cmd = get_struct(s.cmdlist+ctypes.sizeof(msm_kgsl.struct_kgsl_command_object)*i, msm_kgsl.struct_kgsl_command_object)
if IOCTL > 0: print(f"cmd {i}:", format_struct(cmd))
parse_cmd_buf(get_mem(cmd.gpuaddr, cmd.size))
for i in range(s.numobjs):
obj = get_struct(s.objlist+s.objsize*i, msm_kgsl.struct_kgsl_command_object)
if IOCTL > 0:
print(f"obj {i}:", format_struct(obj))
print(format_struct(msm_kgsl.struct_kgsl_cmdbatch_profiling_buffer.from_buffer_copy(get_mem(obj.gpuaddr, obj.size))))
#hexdump(get_mem(obj.gpuaddr, obj.size))
else:
#print(f"ioctl({fd=}, (dir:{idir}, size:0x{size:3X}, type:{itype:d}, nr:0x{nr:2X}), {argp=:X}) = {ret=}")
pass
return ret
def install_hook(c_function, python_function):
# AARCH64 trampoline to ioctl
tramp = b"\x70\x00\x00\x10\x10\x02\x40\xf9\x00\x02\x1f\xd6"
tramp += struct.pack("Q", ctypes.cast(ctypes.byref(python_function), ctypes.POINTER(ctypes.c_ulong)).contents.value)
# get real ioctl address
ioctl_address = ctypes.cast(ctypes.byref(c_function), ctypes.POINTER(ctypes.c_ulong))
# hook ioctl
libc = ctypes.CDLL(ctypes.util.find_library("libc"))
ret = libc.mprotect(ctypes.c_ulong((ioctl_address.contents.value//0x1000)*0x1000), 0x2000, 7)
assert ret == 0
libc.memcpy(ioctl_address.contents, ctypes.create_string_buffer(tramp), len(tramp))
libc = ctypes.CDLL(ctypes.util.find_library("libc"))
install_hook(libc.ioctl, ioctl)

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import ctypes, array
from hexdump import hexdump
from tinygrad.runtime.ops_cl import CLDevice
from tinygrad.helpers import getenv, to_mv, mv_address
from tinygrad.dtype import dtypes
from tinygrad import Tensor, TinyJit
from tinygrad.runtime.autogen import opencl as cl
if getenv("IOCTL"): import extra.qcom_gpu_driver.opencl_ioctl # noqa: F401 # pylint: disable=unused-import
# create raw opencl buffer.
gdev = CLDevice()
cl_buf = cl.clCreateBuffer(gdev.context, cl.CL_MEM_READ_WRITE, 0x100, None, status := ctypes.c_int32())
assert status.value == 0
# fill it with something for fun
data = memoryview(array.array('I', [i for i in range(64)]))
cl.clEnqueueWriteBuffer(gdev.queue, cl_buf, False, 0, 0x100, mv_address(data), 0, None, None)
cl.clFinish(gdev.queue) # wait writes to complete
# get raw gpu pointer from opencl buffer.
## get buf desc
hexdump(to_mv(ctypes.addressof(cl_buf), 0x40))
cl_buf_desc_ptr = to_mv(ctypes.addressof(cl_buf), 8).cast('Q')[0]
## get buf device ptr
hexdump(to_mv(cl_buf_desc_ptr, 0x100))
rawbuf_ptr = to_mv(cl_buf_desc_ptr, 0x100).cast('Q')[20] # offset 0xA0 is a raw gpu pointer.
# create QCOM tensor with the externally managed buffer
x = Tensor.from_blob(rawbuf_ptr, (8, 8), dtype=dtypes.int, device='QCOM')
y = (x + 1).reshape(-1).tolist()
print(y[:10])
assert y == [i + 1 for i in range(64)]
# all calculations are done, save to free the object
cl.clReleaseMemObject(cl_buf)
# all together with jit
@TinyJit
def calc(x): return x + 2
for i in range(4):
cl_buf = cl.clCreateBuffer(gdev.context, cl.CL_MEM_READ_WRITE, 2*2*4, None, status := ctypes.c_int32())
assert status.value == 0
data = memoryview(array.array('I', [x+i for x in range(2*2)]))
cl.clEnqueueWriteBuffer(gdev.queue, cl_buf, False, 0, 2*2*4, mv_address(data), 0, None, None)
cl.clFinish(gdev.queue) # wait writes to complete
cl_buf_desc_ptr = to_mv(ctypes.addressof(cl_buf), 8).cast('Q')[0]
rawbuf_ptr = to_mv(cl_buf_desc_ptr, 0x100).cast('Q')[20]
y = calc(x = Tensor.from_blob(rawbuf_ptr, (2, 2), dtype=dtypes.int, device='QCOM')).tolist()
print(f'jit {i}\n', y)
# all calculations are done, save to free the object
cl.clReleaseMemObject(cl_buf)
# now images!
h, w = 128, 128
cl_img = cl.clCreateImage2D(gdev.context, cl.CL_MEM_READ_WRITE, cl.cl_image_format(cl.CL_RGBA, cl.CL_FLOAT), w, h, 0, None, status := ctypes.c_int32())
assert status.value == 0
# fill it with something for fun
data = memoryview(array.array('f', [i for i in range(h*w*4)]))
cl.clEnqueueWriteImage(gdev.queue, cl_img, False, (ctypes.c_size_t * 3)(0,0,0), (ctypes.c_size_t * 3)(w,h,1), 0, 0, mv_address(data), 0, None, None)
cl.clFinish(gdev.queue) # wait writes to complete
# get raw gpu pointer from opencl buffer.
## get buf desc
hexdump(to_mv(ctypes.addressof(cl_img), 0x40))
cl_buf_desc_ptr = to_mv(ctypes.addressof(cl_img), 8).cast('Q')[0]
## get buf device ptr
hexdump(to_mv(cl_buf_desc_ptr, 0x100))
rawbuf_ptr = to_mv(cl_buf_desc_ptr, 0x100).cast('Q')[20] # offset 0xA0 is a raw gpu pointer.
# create QCOM tensor with the externally managed buffer
x = Tensor.from_blob(rawbuf_ptr, (h,w,4), dtype=dtypes.float, device='QCOM')
y = (x + 1).tolist()
print(y[:10])
# all calculations are done, save to free the object
cl.clReleaseMemObject(cl_img)
# from numpy
import numpy as np
YUV_SIZE = 50
a_np = (32*np.random.randn(YUV_SIZE).astype(np.float32) + 128).clip(0,255).astype(np.uint8)
a = Tensor.from_blob(a_np.ctypes.data, (YUV_SIZE,), dtype=dtypes.uint8, device='QCOM').realize()
print(a.numpy()[:10], a_np[:10])
assert np.all(a.numpy() == a_np)
assert np.all((a - 1).numpy() == a_np - 1)