1
0
forked from IQ.Lvbs/IQ.Pilot

IQ.Pilot Release Commit @ 5bc9cd3

This commit is contained in:
IQ.Lvbs history cleanup
2026-08-22 23:42:42 -05:00
commit d037016281
4504 changed files with 1129827 additions and 0 deletions

View File

@@ -0,0 +1,127 @@
from __future__ import annotations
import mmap, functools
from tinygrad.runtime.autogen import libc
from test.mockgpu.driver import VirtDriver, VirtFileDesc, TextFileDesc, DirFileDesc, VirtFile
from test.mockgpu.am.amgpu import MockAMGPU, VRAM_SIZE
DOORBELL_SIZE = 0x2000
MMIO_SIZE = 2 << 20
PCIBUS = "mock:am:0"
_empty_bar = "0x0000000000000000 0x0000000000000000 0x0000000000000000"
_resource_lines = [
f"0x0000000000000000 0x{VRAM_SIZE-1:016x} 0x0000000000000000", _empty_bar,
f"0x0000000000000000 0x{DOORBELL_SIZE-1:016x} 0x0000000000000000", _empty_bar, _empty_bar,
f"0x0000000000000000 0x{MMIO_SIZE-1:016x} 0x0000000000000000", _empty_bar,
]
class PagemapFileDesc(VirtFileDesc):
def __init__(self, fd, gpu):
super().__init__(fd)
self.gpu = gpu
def seek(self, offset): self.off = offset
def read_contents(self, size=None):
entries = bytearray()
for i in range((size or 8) // 8):
vaddr = ((self.off // 8) + i) * 0x1000
paddr = self.gpu._next_sysmem_paddr
self.gpu._next_sysmem_paddr += 0x1000
self.gpu._sysmem_map[paddr] = vaddr
entries += ((1 << 63) | (paddr // 0x1000)).to_bytes(8, 'little')
self.off += len(entries)
return bytes(entries)
class PCIBarFileDesc(VirtFileDesc):
def __init__(self, fd, memfd, driver=None):
super().__init__(fd)
self.memfd, self.driver = memfd, driver
def mmap(self, start, sz, prot, flags, fd, off):
addr = libc.mmap(start, sz, prot, flags, self.memfd, off)
if self.driver is not None:
self.driver.track_address(addr, addr + sz, lambda mv, idx: None, lambda mv, idx: self.driver._emulate_execute())
return addr
class PCIMMIOBarFileDesc(VirtFileDesc):
def __init__(self, fd, bar5_addr):
super().__init__(fd)
self.bar5_addr = bar5_addr
def mmap(self, start, sz, prot, flags, fd, off): return self.bar5_addr + off
class PCIConfigFileDesc(VirtFileDesc):
def __init__(self, fd):
super().__init__(fd)
self.data = bytearray(256)
def read_contents(self, size=None): return bytes(self.data[self.off:self.off + (size or len(self.data) - self.off)])
def write_contents(self, content): self.data[self.off:self.off + len(content)] = content
def seek(self, offset): self.off = offset
class PCIEnableFileDesc(VirtFileDesc):
def __init__(self, fd): super().__init__(fd)
def read_contents(self, size=None): return "1\n"
def write_contents(self, content): pass
class AMDriver(VirtDriver):
def __init__(self):
super().__init__()
self.gpus:dict[int, MockAMGPU] = {}
self._executing = False
self.gpu = MockAMGPU(0)
self.gpus[0] = self.gpu
self.next_fd = 1 << 30
self._bar5_addr = libc.mmap(0, MMIO_SIZE, mmap.PROT_READ | mmap.PROT_WRITE, mmap.MAP_SHARED | mmap.MAP_ANONYMOUS, -1, 0)
mmio = self.gpu.mmio
self.track_address(self._bar5_addr, self._bar5_addr + MMIO_SIZE,
lambda mv, idx: _bar5_sync_read(mv, idx, mmio), lambda mv, idx: _bar5_sync_write(mv, idx, mmio))
p = f"/sys/bus/pci/devices/{PCIBUS}"
self.tracked_files += [
VirtFile("/proc/sys/vm/compact_unevictable_allowed", functools.partial(TextFileDesc, text="0\n")),
VirtFile("/proc/self/pagemap", functools.partial(PagemapFileDesc, gpu=self.gpu)),
VirtFile("/sys/bus/pci/devices", functools.partial(DirFileDesc, child_names=[PCIBUS])),
VirtFile(f"{p}/vendor", functools.partial(TextFileDesc, text="0x1002\n")),
VirtFile(f"{p}/device", functools.partial(TextFileDesc, text="0x74a1\n")),
VirtFile(f"{p}/enable", PCIEnableFileDesc),
VirtFile(f"{p}/config", PCIConfigFileDesc),
VirtFile(f"{p}/resource", functools.partial(TextFileDesc, text="\n".join(_resource_lines) + "\n")),
VirtFile(f"{p}/resource0", functools.partial(PCIBarFileDesc, memfd=self.gpu.vram_fd)),
VirtFile(f"{p}/resource2", functools.partial(PCIBarFileDesc, memfd=self.gpu.doorbell_fd, driver=self)),
VirtFile(f"{p}/resource5", functools.partial(PCIMMIOBarFileDesc, bar5_addr=self._bar5_addr)),
]
def _alloc_fd(self):
fd = self.next_fd
self.next_fd += 1
return fd
def open(self, name, flags, mode, virtfile): return virtfile.fdcls(self._alloc_fd())
def _emulate_execute(self):
if self._executing: return
self._executing = True
try:
any_progress = True
while any_progress:
any_progress = False
for gpu in self.gpus.values():
for q in gpu.queues:
if q.executing: any_progress |= q.execute() > 0
finally:
self._executing = False
def _bar5_sync_read(mv, idx, mmio):
if isinstance(idx, slice):
for i in range(idx.start or 0, idx.stop or len(mv), idx.step or 1): mv[i] = mmio[i]
else: mv[idx] = mmio[idx]
def _bar5_sync_write(mv, idx, mmio):
if isinstance(idx, slice):
for i in range(idx.start or 0, idx.stop or len(mv), idx.step or 1): mmio[i] = mv[i]
else: mmio[idx] = mv[idx]
class AMUSBDriver(AMDriver):
def __init__(self):
import test.mockgpu.usb as _musb
super().__init__()
self.state = _musb.MockASM24State(self.gpu, self, VRAM_SIZE, DOORBELL_SIZE, MMIO_SIZE)
_musb._mock_usb_state = self.state

View File

@@ -0,0 +1,313 @@
# mypy: ignore-errors
from __future__ import annotations
import ctypes, ctypes.util, struct, functools, os, mmap
from tinygrad.runtime.autogen.am import am
from tinygrad.runtime.support.amd import AMDReg, import_asic_regs
from test.mockgpu.amd.amdgpu import AMDGPU
libc = ctypes.CDLL(ctypes.util.find_library("c"))
libc.mmap.argtypes = [ctypes.c_void_p, ctypes.c_size_t, ctypes.c_int, ctypes.c_int, ctypes.c_int, ctypes.c_long]
libc.mmap.restype = ctypes.c_void_p
VRAM_SIZE = 512 << 20
IP_VERSIONS = {
am.GC_HWIP: (12, 0, 0), am.SDMA0_HWIP: (7, 0, 0), am.MMHUB_HWIP: (4, 1, 0), am.NBIO_HWIP: (6, 3, 1),
am.MP0_HWIP: (14, 0, 2), am.MP1_HWIP: (14, 0, 2), am.HDP_HWIP: (7, 0, 0), am.OSSSYS_HWIP: (7, 0, 0),
}
def _pad(t, n=10): return t + (0,) * (n - len(t))
IP_BASES = {
am.GC_HWIP: _pad((0x00001260, 0x0000A000, 0x0001C000, 0x02402C00)),
am.SDMA0_HWIP: _pad((0x00001260, 0x0000A000, 0x0001C000, 0x02402C00)),
am.MMHUB_HWIP: _pad((0x0001A000, 0x02408800)),
am.NBIO_HWIP: _pad((0x00000000, 0x00000014, 0x00000D20, 0x00010400, 0x0241B000, 0x04040000)),
am.MP0_HWIP: _pad((0x00016000, 0x00DC0000, 0x00E00000, 0x00E40000, 0x0243FC00)),
am.MP1_HWIP: _pad((0x00016000, 0x00DC0000, 0x00E00000, 0x00E40000, 0x0243FC00)),
am.HDP_HWIP: _pad((0x00000F20, 0x0240A400)),
am.OSSSYS_HWIP: _pad((0x000010A0, 0x0240A000)),
}
IP_HWIDS = {hwip: am.hw_id_map[hwip] for hwip in IP_VERSIONS}
GC_INFO = dict(gc_num_se=2, gc_num_cu_per_sh=8, gc_num_sh_per_se=2, gc_num_rb_per_se=4,
gc_num_tccs=8, gc_wave_size=32, gc_max_waves_per_simd=16, gc_max_scratch_slots_per_cu=32, gc_lds_size=64)
def _build_ip_regs(prefix, hwip) -> dict[str, AMDReg]:
try: return import_asic_regs(prefix, IP_VERSIONS[hwip], cls=functools.partial(AMDReg, bases={0: IP_BASES[hwip]}))
except Exception: return {}
class MockMMU:
def __init__(self, gpu:MockAMGPU):
self.gpu = gpu
self.tlb: dict[int, tuple[int, int, bool]] = {}
def invalidate(self, pt_base:int, va_base:int):
new_tlb: dict[int, tuple[int, int, bool]] = {}
self._walk(pt_base, 0, 0, new_tlb, va_base)
for va, (pa, sz, is_sys) in new_tlb.items():
old = self.tlb.get(va)
if not is_sys and (old is None or old[0] != pa): self.gpu.map_vram_at(va, pa, sz)
if old is None: self.gpu.map_range(va, sz)
self.tlb = new_tlb
def _walk(self, pt_paddr:int, level:int, va_acc:int, out:dict, va_base:int):
shift = [39, 30, 21, 12][level]
for i in range(512):
pte = struct.unpack_from('<Q', self.gpu.vram, pt_paddr + i * 8)[0]
if not (pte & am.AMDGPU_PTE_VALID): continue
va, pa = va_acc | (i << shift), pte & 0x0000FFFFFFFFF000
if level == 3 or (pte & am.AMDGPU_PDE_PTE_GFX12):
out[va_base + va] = (pa, 1 << shift, bool(pte & am.AMDGPU_PTE_SYSTEM))
else:
self._walk(pa, level + 1, va, out, va_base)
def paddr_to_host(self, paddr:int) -> int:
page, off = paddr & ~0xFFF, paddr & 0xFFF
if page in self.gpu._sysmem_map: return self.gpu._sysmem_map[page] + off
if paddr < VRAM_SIZE: return self.gpu.vram_addr + paddr
raise ValueError(f"paddr {paddr:#x} not found in sysmem_map or VRAM")
def addr_to_host(self, addr:int) -> int:
gmc = self.gpu.mmio.gmc
sys_lo = self.gpu.mmio.regs.get(gmc.reg('regMMMC_VM_SYSTEM_APERTURE_LOW_ADDR') or 0, 0) << 18
sys_hi = self.gpu.mmio.regs.get(gmc.reg('regMMMC_VM_SYSTEM_APERTURE_HIGH_ADDR') or 0, 0) << 18
if sys_lo <= addr < sys_hi: return self.paddr_to_host(addr - self.gpu.mc_base)
for tva, (pa, sz, is_sys) in self.tlb.items():
if tva <= addr < tva + sz:
paddr = pa + (addr - tva)
if not is_sys: return self.gpu.vram_addr + paddr
return self.paddr_to_host(paddr)
raise ValueError(f"addr {addr:#x} not mapped (sys_aperture=[{sys_lo:#x}, {sys_hi:#x}])")
class MockIPBlock:
def __init__(self, gpu:MockAMGPU, mmio:MockMMIOInterface, regs:dict[str, AMDReg]):
self.gpu, self.mmio, self._regs = gpu, mmio, regs
self._n2a = {n: r.addr[0] for n, r in regs.items()}
self._a2n = {a: n for n, a in self._n2a.items()}
self.addrs = set(self._n2a.values())
def reg(self, name) -> int|None: return self._n2a.get(name)
def decode(self, name) -> dict: return self._regs[name].decode(self.mmio.regs.get(self._n2a[name], 0))
def read(self, reg:int) -> int: return self.mmio.regs.get(reg, 0)
def write(self, reg:int, val:int): self.mmio.regs[reg] = val
def _read_pair(self, pair) -> int:
if pair[0] is None: return 0
return self.mmio.regs.get(pair[0], 0) | (self.mmio.regs.get(pair[1], 0) << 32)
class MockPSP(MockIPBlock):
def __init__(self, gpu, mmio):
super().__init__(gpu, mmio, _build_ip_regs('mp', am.MP0_HWIP))
self._sos_alive, self._ring_wptr = False, 0
pref = "regMPASP_SMN_C2PMSG" if IP_VERSIONS[am.MP0_HWIP] >= (14,0,0) else "regMP0_SMN_C2PMSG"
def r(n): return self.reg(f"{pref}_{n}")
self._c2pmsg_35, self._c2pmsg_64, self._c2pmsg_67 = r(35), r(64), r(67)
self._c2pmsg_69, self._c2pmsg_70, self._c2pmsg_81 = r(69), r(70), r(81)
def read(self, reg:int) -> int:
if reg == self._c2pmsg_35: return 0x80000000
if reg == self._c2pmsg_81: return 0x1 if self._sos_alive else 0x0
if reg == self._c2pmsg_64: return 0x80000000 if self._sos_alive else 0x0
if reg == self._c2pmsg_67: return self._ring_wptr
return super().read(reg)
def write(self, reg:int, val:int):
super().write(reg, val)
if reg == self._c2pmsg_35 and val == am.PSP_BL__LOAD_SOSDRV: self._sos_alive = True
if reg == self._c2pmsg_67: self._ring_submit(val)
def _ring_submit(self, new_wptr:int):
old_wptr = self._ring_wptr
self._ring_wptr = new_wptr
lo, hi = self._c2pmsg_69, self._c2pmsg_70
if lo is None or hi is None: return
ring_mc = self.mmio.regs.get(lo, 0) | (self.mmio.regs.get(hi, 0) << 32)
ring_paddr = ring_mc - self.gpu.mc_base
frame_off = ring_paddr + old_wptr * 4
frame = am.struct_psp_gfx_rb_frame.from_buffer_copy(bytes(self.gpu.vram[frame_off:frame_off + ctypes.sizeof(am.struct_psp_gfx_rb_frame)]))
fence_paddr = ((frame.fence_addr_hi << 32) | frame.fence_addr_lo) - self.gpu.mc_base
if 0 <= fence_paddr < len(self.gpu.vram):
struct.pack_into('<I', self.gpu.vram, fence_paddr, frame.fence_value)
cmd_paddr = ((frame.cmd_buf_addr_hi << 32) | frame.cmd_buf_addr_lo) - self.gpu.mc_base
if 0 <= cmd_paddr < len(self.gpu.vram):
struct.pack_into('<I', self.gpu.vram, cmd_paddr + 864, 0)
class MockSMU(MockIPBlock):
def __init__(self, gpu, mmio):
regs = import_asic_regs('mp', (11, 0, 0), cls=functools.partial(AMDReg, bases={0: IP_BASES[am.MP1_HWIP]}))
super().__init__(gpu, mmio, regs)
self._msg_pending = False
def r(n): return self.reg(f"mmMP1_SMN_C2PMSG_{n}")
self._c2pmsg_53, self._c2pmsg_54, self._c2pmsg_66 = r(53), r(54), r(66)
self._c2pmsg_75, self._c2pmsg_82, self._c2pmsg_90 = r(75), r(82), r(90)
def read(self, reg:int) -> int:
if reg == self._c2pmsg_90 or reg == self._c2pmsg_54: return 0x1 if self._msg_pending else super().read(reg)
if reg == self._c2pmsg_82: return self.mmio.regs.get(reg, 3)
return super().read(reg)
def write(self, reg:int, val:int):
super().write(reg, val)
if reg == self._c2pmsg_66 or reg == self._c2pmsg_75: self._msg_pending = True
if (reg == self._c2pmsg_90 or reg == self._c2pmsg_54) and val == 0: self._msg_pending = False
class MockSDMA(MockIPBlock):
def __init__(self, gpu, mmio):
all_gc = _build_ip_regs('gc', am.GC_HWIP)
super().__init__(gpu, mmio, {n: r for n, r in all_gc.items() if 'SDMA' in n})
def write(self, reg:int, val:int):
super().write(reg, val)
name = self._a2n.get(reg, '')
if name.endswith('_RB_CNTL') and self._regs[name].decode(val).get('rb_enable', 0):
self._activate_queue(name.rsplit('_RB_CNTL', 1)[0])
def _activate_queue(self, prefix:str):
ring_addr = self._read_pair((self.reg(f'{prefix}_RB_BASE'), self.reg(f'{prefix}_RB_BASE_HI'))) << 8
rptr_addr = self._read_pair((self.reg(f'{prefix}_RB_RPTR_ADDR_LO'), self.reg(f'{prefix}_RB_RPTR_ADDR_HI')))
wptr_addr = self._read_pair((self.reg(f'{prefix}_RB_WPTR_POLL_ADDR_LO'), self.reg(f'{prefix}_RB_WPTR_POLL_ADDR_HI')))
rb_size = self.decode(f'{prefix}_RB_CNTL')['rb_size']
self.gpu.add_sdma_queue(self.gpu.mmu.addr_to_host(ring_addr), 4 << rb_size,
self.gpu.mmu.addr_to_host(rptr_addr), self.gpu.mmu.addr_to_host(wptr_addr))
class MockGFX(MockIPBlock):
def __init__(self, gpu, mmio):
super().__init__(gpu, mmio, _build_ip_regs('gc', am.GC_HWIP))
self._pt_base = (self.reg('regGCVM_CONTEXT0_PAGE_TABLE_BASE_ADDR_LO32'), self.reg('regGCVM_CONTEXT0_PAGE_TABLE_BASE_ADDR_HI32'))
self._pt_start = (self.reg('regGCVM_CONTEXT0_PAGE_TABLE_START_ADDR_LO32'), self.reg('regGCVM_CONTEXT0_PAGE_TABLE_START_ADDR_HI32'))
self._gc_inv_ack = self.reg('regGCVM_INVALIDATE_ENG17_ACK')
self._gc_inv_req = self.reg('regGCVM_INVALIDATE_ENG17_REQ')
self._hqd_active = self.reg('regCP_HQD_ACTIVE')
def read(self, reg:int) -> int:
if reg == self.reg('regCP_STAT') or reg == self.reg('regRLC_SAFE_MODE'): return 0
if reg == self.reg('regRLC_RLCS_BOOTLOAD_STATUS'): return 0x2
if reg == self._gc_inv_ack: return 0x1
return super().read(reg)
def write(self, reg:int, val:int):
super().write(reg, val)
if reg == self.reg('regCP_HQD_DEQUEUE_REQUEST'):
if self._hqd_active is not None: self.mmio.regs[self._hqd_active] = 0
if reg == self._hqd_active and val == 1: self._activate_pm4_queue()
if reg == self._gc_inv_req: self.gpu.mmu.invalidate(self.get_pt_base(), self.get_va_base())
def _activate_pm4_queue(self):
ring_addr = self._read_pair((self.reg('regCP_HQD_PQ_BASE'), self.reg('regCP_HQD_PQ_BASE_HI'))) << 8
rptr_addr = self._read_pair((self.reg('regCP_HQD_PQ_RPTR_REPORT_ADDR'), self.reg('regCP_HQD_PQ_RPTR_REPORT_ADDR_HI')))
wptr_addr = self._read_pair((self.reg('regCP_HQD_PQ_WPTR_POLL_ADDR'), self.reg('regCP_HQD_PQ_WPTR_POLL_ADDR_HI')))
queue_size = self.decode('regCP_HQD_PQ_CONTROL')['queue_size']
self.gpu.add_pm4_queue(self.gpu.mmu.addr_to_host(ring_addr), 4 << (queue_size + 1),
self.gpu.mmu.addr_to_host(rptr_addr), self.gpu.mmu.addr_to_host(wptr_addr))
def get_pt_base(self) -> int: return self._read_pair(self._pt_base) & 0x0000FFFFFFFFF000
def get_va_base(self) -> int: return self._read_pair(self._pt_start) << 12
class MockGMC(MockIPBlock):
def __init__(self, gpu, mmio, gfx:MockGFX):
super().__init__(gpu, mmio, _build_ip_regs('mmhub', am.MMHUB_HWIP))
self._gfx = gfx
self._inv_ack = self.reg('regMMVM_INVALIDATE_ENG17_ACK')
self._inv_sem = self.reg('regMMVM_INVALIDATE_ENG17_SEM')
self._inv_req = self.reg('regMMVM_INVALIDATE_ENG17_REQ')
self._fb_loc_top = self.reg('regMMMC_VM_FB_LOCATION_TOP')
def read(self, reg:int) -> int:
if reg == self._inv_ack or reg == self._inv_sem: return 0x1
if reg == self._fb_loc_top: return VRAM_SIZE >> 24
return super().read(reg)
def write(self, reg:int, val:int):
super().write(reg, val)
if reg == self._inv_req: self.gpu.mmu.invalidate(self._gfx.get_pt_base(), self._gfx.get_va_base())
class MockNBIO(MockIPBlock):
def __init__(self, gpu, mmio):
regs = _build_ip_regs('nbif', am.NBIO_HWIP)
regs.update(_build_ip_regs('hdp', am.HDP_HWIP))
super().__init__(gpu, mmio, regs)
self._remap_hdp = self.reg('regBIF_BX0_REMAP_HDP_MEM_FLUSH_CNTL')
self._hdp_flush = self.reg('regHDP_MEM_FLUSH_CNTL')
def read(self, reg:int) -> int:
if reg == self._remap_hdp and self._hdp_flush is not None: return self._hdp_flush * 4
return super().read(reg)
class MockMMIOInterface:
def __init__(self, gpu:MockAMGPU):
self.gpu = gpu
self.regs: dict[int, int] = {}
gfx = MockGFX(gpu, self)
self.gmc = MockGMC(gpu, self, gfx)
self.blocks = [MockPSP(gpu, self), MockSMU(gpu, self), MockSDMA(gpu, self), gfx, self.gmc, MockNBIO(gpu, self)]
self._addr_block: dict[int, MockIPBlock] = {}
for block in self.blocks:
for addr in block.addrs: self._addr_block.setdefault(addr, block)
def __getitem__(self, index:int|slice) -> int|list[int]:
if isinstance(index, slice): return [self[i] for i in range(index.start or 0, index.stop or 0, index.step or 1)] # type: ignore[misc]
if index == 0xde3: return VRAM_SIZE >> 20
if block := self._addr_block.get(index): return block.read(index)
return self.regs.get(index, 0)
def __setitem__(self, index:int|slice, val:int|list[int]|tuple[int, ...]):
if isinstance(index, slice):
vals = val if isinstance(val, (list, tuple)) else [val] * ((index.stop - index.start) // (index.step or 1)) # type: ignore[operator]
for i, v in zip(range(index.start or 0, index.stop or 0, index.step or 1), vals): self[i] = v
return
assert isinstance(val, int)
self.regs[index] = val
if block := self._addr_block.get(index): block.write(index, val)
def __len__(self): return 0x10000000
class MockAMGPU(AMDGPU):
def __init__(self, gpuid:int=0):
super().__init__(gpuid)
self.vram_fd = os.memfd_create("vram")
os.ftruncate(self.vram_fd, VRAM_SIZE)
self.vram_addr = libc.mmap(0, VRAM_SIZE, mmap.PROT_READ | mmap.PROT_WRITE, mmap.MAP_SHARED, self.vram_fd, 0)
self.vram = (ctypes.c_ubyte * VRAM_SIZE).from_address(self.vram_addr)
self.doorbell_fd = os.memfd_create("doorbell")
os.ftruncate(self.doorbell_fd, 0x2000)
self.arch = "rdna4"
self._sysmem_map:dict[int,int] = {}
self._next_sysmem_paddr = 0x100000000
self.mmu = MockMMU(self)
self.mmio = MockMMIOInterface(self)
self._preboot()
def translate_addr(self, addr:int) -> int: return self.mmu.addr_to_host(addr)
def map_vram_at(self, va:int, paddr:int, size:int):
libc.mmap(va, size, mmap.PROT_READ | mmap.PROT_WRITE, mmap.MAP_SHARED | 0x10, self.vram_fd, paddr)
def _preboot(self):
ip_data = bytearray()
for hwip, (major, minor, rev) in IP_VERSIONS.items():
ip = am.struct_ip_v4(hw_id=IP_HWIDS[hwip], num_base_address=len(IP_BASES[hwip]), major=major, minor=minor, revision=rev)
ip_data += bytes(ip) + b'\x00'
for b in IP_BASES[hwip]: ip_data += struct.pack('<I', b)
dhdr = am.struct_die_header(num_ips=len(IP_VERSIONS))
ihdr = am.struct_ip_discovery_header(signature=am.DISCOVERY_TABLE_SIGNATURE, version=4, num_dies=1)
ip_disc_off = ctypes.sizeof(am.struct_binary_header)
ihdr.die_info[0].die_offset = ip_disc_off + ctypes.sizeof(am.struct_ip_discovery_header)
gc = am.struct_gc_info_v2_1()
gc.header.table_id, gc.header.version_major, gc.header.version_minor = am.GC, 2, 1
gc.header.size = ctypes.sizeof(am.struct_gc_info_v2_1)
for field, val in GC_INFO.items(): setattr(gc, field, val)
gc_off = ip_disc_off + ctypes.sizeof(am.struct_ip_discovery_header) + ctypes.sizeof(am.struct_die_header) + len(ip_data)
bhdr = am.struct_binary_header(binary_signature=am.BINARY_SIGNATURE)
bhdr.table_list[am.IP_DISCOVERY].offset = ip_disc_off
bhdr.table_list[am.GC].offset = gc_off
tbl = bytes(bhdr) + bytes(ihdr) + bytes(dhdr) + ip_data + bytes(gc)
tbl_offset = VRAM_SIZE - (64 << 10)
self.vram[tbl_offset:tbl_offset + len(tbl)] = list(tbl)
@property
def mc_base(self) -> int:
fb_loc_base = self.mmio.gmc.reg('regMMMC_VM_FB_LOCATION_BASE') or 0
return (self.mmio.regs.get(fb_loc_base, 0) & 0xFFFFFF) << 24

View File

@@ -0,0 +1,38 @@
An integrated environment for AMD GPU assembly and emulation
Test with `pytest -n12 test/amd/`
`DEV=AMD:LLVM pytest -n12 test/amd/`
* dsl.py -- helpers for the autogen instruction classes in `__init__.py`. should be standalone with init
* test/mockgpu/amd/emu.py -- an emulator for RDNA that runs in tinygrad with `DEV=MOCK{KFD|KFD|USB}+AMD`
* generate.py -- extract assembly format + instruction pseudocode from AMD XML + PDF
* test/mockgpu/amd/pcode.py -- pseudocode to UOp transformation
* sqtt.py -- SQTT parser
The code should be as readable and deduplicated as possible. emu (in test/mockgpu/amd/) shouldn't be required for dsl.
The autogen folder is autogenerated from the AMD PDFs with `python3 -m tinygrad.renderer.amd.pdf --arch all`
test_emu.py has a good set of instruction tests for the emulation, with USE_HW=1 it will compare to real hardware.
Whenever an instruction is fixed, regression tests should be added here and confirmed with real hardware.
test_llvm.py tests asm/disasm on the LLVM tests, confirming it behaves the same as LLVM.
tinygrad's dtype tests should pass with and without LLVM. they run in about 12 seconds.
`DEV=MOCK+AMD pytest -n=12 test/backend/test_dtype_alu.py test/backend/test_dtype.py`
`DEV=MOCK+AMD:LLVM pytest -n=12 test/backend/test_dtype_alu.py test/backend/test_dtype.py`
The ops tests also pass, but they are very slow, so you should run them one at a time.
`SKIP_SLOW_TEST=1 DEV=MOCK+AMD pytest -n=12 test/backend/test_ops.py`
`SKIP_SLOW_TEST=1 DEV=NOCK+AMD:LLVM pytest -n=12 test/backend/test_ops.py`
When something is caught by main tinygrad tests, a local regression test should be added to `test/amd`.
While working with tinygrad, you can dump the assembly with `DEBUG=7`. These tests all pass on real hardware
If a test is failing with `DEV=MOCK+AMD` it's because an instruction is emulated incorrectly.
You can test with just `DEV=AMD` to test on real hardware, if it works on real hardware there's a bug in the emulator.
IMPORTANT: if a test is failing in the emulator, it's an instruction bug. Use DEBUG=7, get the instructions, and debug.
Currently, only RDNA3 is well supported, but when finished, this will support RDNA3+RDNA4+CDNA in ~3000 lines.
Get line count with `cloc --by-file tinygrad/renderer/amd/*.py`

View File

@@ -0,0 +1,196 @@
import pathlib, re, ctypes, mmap, collections, functools, copy, os
import tinygrad.runtime.autogen.kfd as kfd
import tinygrad.runtime.autogen.am.am as am
import tinygrad.runtime.autogen.amdgpu_drm as amdgpu_drm
from tinygrad.helpers import from_mv
from test.mockgpu.driver import VirtDriver, VirtFileDesc, TextFileDesc, DirFileDesc, VirtFile
from test.mockgpu.amd.amdgpu import AMDGPU, gpu_props, GFX_TARGET_VERSION, MOCKGPU_ARCH
libc = ctypes.CDLL(ctypes.util.find_library("c"))
libc.mmap.argtypes = [ctypes.c_void_p, ctypes.c_size_t, ctypes.c_int, ctypes.c_int, ctypes.c_int, ctypes.c_long]
libc.mmap.restype = ctypes.c_void_p
def ioctls_from_header():
# hdrpy = (pathlib.Path(__file__).parent.parent.parent.parent / "tinygrad" / "runtime" / "autogen" / "kfd.py").read_text()
# pattern = r'# (AMDKFD_IOC_[A-Z0-9_]+)\s=\s_(IOW?R?).*\(( 0x[0-9a-fA-F]+) ,\s+struct\s([A-Za-z0-9_]+)\s+\)'
# matches = re.findall(pattern, hdrpy, re.MULTILINE)
hdr = (pathlib.Path(__file__).parent.parent.parent.parent / "extra" / "hip_gpu_driver" / "kfd_ioctl.h").read_text().replace("\\\n", "")
pattern = r'#define\s+(AMDKFD_IOC_[A-Z0-9_]+)\s+AMDKFD_(IOW?R?)\((0x[0-9a-fA-F]+),\s+struct\s([A-Za-z0-9_]+)\)'
matches = re.findall(pattern, hdr, re.MULTILINE)
return type("KFD_IOCTLS", (object, ), {name: int(nr, 0x10) for name, _, nr, _ in matches}), \
{int(nr, 0x10): getattr(kfd, "struct_"+sname, None) for name, idir, nr, sname in matches}
kfd_ioctls, kfd_headers = ioctls_from_header()
class KFDFileDesc(VirtFileDesc):
def __init__(self, fd, driver):
super().__init__(fd)
self.driver = driver
def ioctl(self, fd, request, argp): return self.driver.kfd_ioctl(request, argp)
def mmap(self, start, sz, prot, flags, fd, offset): return offset
class DRMFileDesc(VirtFileDesc):
def __init__(self, fd, driver, gpu):
super().__init__(fd)
self.driver, self.gpu = driver, gpu
def ioctl(self, fd, request, argp):
struct = amdgpu_drm.struct_drm_amdgpu_info.from_address(argp)
if struct.query == amdgpu_drm.AMDGPU_INFO_DEV_INFO:
dev_info = amdgpu_drm.struct_drm_amdgpu_info_device.from_address(struct.return_pointer)
# mock of gfx1100
for se in range(4):
for sa in range(4): dev_info.cu_bitmap[se][sa] = 0xff if (se * 4 + sa) < 12 else 0
return 0
raise NotImplementedError(f"unknown DRM ioctl query {struct.query}")
def mmap(self, start, sz, prot, flags, fd, offset): return libc.mmap(start, sz, prot, flags|mmap.MAP_ANONYMOUS, -1, 0)
class AMDDriver(VirtDriver):
def __init__(self, gpus=6):
super().__init__()
# NOTE: gpu ids start from one (id 0 is skipped in KFDIface._is_usable_gpu)
self.tracked_files += [VirtFile('/dev/kfd', functools.partial(KFDFileDesc, driver=self))] + \
[VirtFile('/sys/devices/virtual/kfd/kfd/topology/nodes', functools.partial(DirFileDesc, child_names=[str(i+1) for i in range(gpus)]))]
self.gpus = {}
self.next_fd = (1 << 30)
self.next_handle = 1
self.next_event = 1
self.object_by_handle = {}
self.doorbells = {}
self.next_doorbell = collections.defaultdict(int)
self.mmu_event_ids = []
self._executing = False # re-entrancy guard for _emulate_execute
for i in range(gpus): self._prepare_gpu(i+1)
def _alloc_fd(self):
my_fd = self.next_fd
self.next_fd = self.next_fd + 1
return my_fd
def _alloc_handle(self):
handle = self.next_handle
self.next_handle += 1
return handle
def _alloc_next_event_slot(self):
ev = self.next_event
self.next_event += 1
return ev
def _alloc_doorbell(self, gpu_id):
x = ctypes.addressof(from_mv(self.doorbells[gpu_id])) + self.next_doorbell[gpu_id] * 8
self.next_doorbell[gpu_id] += 1
return x
def _prepare_gpu(self, gpu_id):
self.doorbells[gpu_id] = memoryview(bytearray(0x2000))
self.gpus[gpu_id] = AMDGPU(gpu_id)
ip_versions = {"rdna3": {"gc": (11, 0, 0), "sdma": (6, 0, 0), "nbif": (4, 3, 0)},
"rdna4": {"gc": (12, 0, 0), "sdma": (6, 0, 0), "nbif": (6, 3, 1)},
"cdna4": {"gc": (9, 5, 0), "sdma": (4, 4, 5), "nbif": (7, 9, 0)}}[MOCKGPU_ARCH]
def ip_discovery_files(hwid, ver, base_addr):
p = f'/sys/class/drm/renderD{gpu_id}/device/ip_discovery/die/0/{hwid}/0'
return [VirtFile(f'/sys/class/drm/renderD{gpu_id}/device/ip_discovery/die/0/{hwid}', functools.partial(DirFileDesc, child_names=['0'])),
VirtFile(f'{p}/major', functools.partial(TextFileDesc, text=str(ver[0]))),
VirtFile(f'{p}/minor', functools.partial(TextFileDesc, text=str(ver[1]))),
VirtFile(f'{p}/revision', functools.partial(TextFileDesc, text=str(ver[2]))),
VirtFile(f'{p}/base_addr', functools.partial(TextFileDesc, text=base_addr))]
self.tracked_files += [
VirtFile('/sys/module/amdgpu', functools.partial(TextFileDesc, text="1")),
VirtFile('/sys/module/amdgpu/parameters/ppfeaturemask', functools.partial(TextFileDesc, text="0xffff3fff")),
VirtFile(f'/sys/devices/virtual/kfd/kfd/topology/nodes/{gpu_id}', functools.partial(DirFileDesc, child_names=['gpu_id', 'properties'])),
VirtFile(f'/sys/devices/virtual/kfd/kfd/topology/nodes/{gpu_id}/gpu_id', functools.partial(TextFileDesc, text=f"{gpu_id}")),
VirtFile(f'/sys/devices/virtual/kfd/kfd/topology/nodes/{gpu_id}/properties',
functools.partial(TextFileDesc, text=gpu_props.format(drm_render_minor=gpu_id, gfx_target_version=GFX_TARGET_VERSION))),
VirtFile(f'/sys/class/drm/renderD{gpu_id}/device/power_dpm_force_performance_level',
functools.partial(TextFileDesc, text='profile_standard\n')),
VirtFile(f'/sys/class/drm/renderD{gpu_id}/device/ip_discovery/die/0',
functools.partial(DirFileDesc, child_names=[str(am.GC_HWID), str(am.SDMA0_HWID), str(am.NBIF_HWID)])),
*ip_discovery_files(am.GC_HWID, ip_versions["gc"], '0x00001260\n0x0000A000\n0x0001C000\n0x02402C00'),
*ip_discovery_files(am.SDMA0_HWID, ip_versions["sdma"], '0x00001260\n0x0000A000\n0x0001C000\n0x02402C00'),
*ip_discovery_files(am.NBIF_HWID, ip_versions["nbif"], '0x00000000\n0x00000014\n0x00000D20\n0x00010400\n0x0241B000\n0x04040000'),
VirtFile(f'/dev/dri/renderD{gpu_id}', functools.partial(DRMFileDesc, driver=self, gpu=f"{self.gpus[gpu_id]}")),
]
def open(self, name, flags, mode, virtfile): return virtfile.fdcls(self._alloc_fd())
def kfd_ioctl(self, req, argp):
nr = req & 0xFF
struct = kfd_headers[nr].from_address(argp)
if nr == kfd_ioctls.AMDKFD_IOC_ACQUIRE_VM: pass
elif nr == kfd_ioctls.AMDKFD_IOC_RUNTIME_ENABLE: pass
elif nr == kfd_ioctls.AMDKFD_IOC_GET_VERSION:
struct.major_version = 1
struct.minor_version = 14
elif nr == kfd_ioctls.AMDKFD_IOC_ALLOC_MEMORY_OF_GPU:
if struct.gpu_id not in self.gpus: return -1
struct.handle = self._alloc_handle()
self.object_by_handle[struct.handle] = copy.deepcopy(struct) # save memory struct to know what mem it is
# Track signal memory (uncached + coherent) - progress queues when written to
if struct.flags & kfd.KFD_IOC_ALLOC_MEM_FLAGS_UNCACHED:
self.track_address(struct.va_addr, struct.va_addr + struct.size, lambda mv,off: None, lambda mv, off: self._emulate_execute())
elif nr == kfd_ioctls.AMDKFD_IOC_FREE_MEMORY_OF_GPU:
self.object_by_handle.pop(struct.handle)
elif nr == kfd_ioctls.AMDKFD_IOC_MAP_MEMORY_TO_GPU:
dev_ids = (ctypes.c_int32 * struct.n_devices).from_address(struct.device_ids_array_ptr)
for i in range(struct.n_devices):
gpu = self.gpus[dev_ids[i]]
mem_obj = self.object_by_handle[struct.handle]
gpu.map_range(mem_obj.va_addr, mem_obj.size)
struct.n_success = i + 1
elif nr == kfd_ioctls.AMDKFD_IOC_UNMAP_MEMORY_FROM_GPU:
dev_ids = (ctypes.c_int32 * struct.n_devices).from_address(struct.device_ids_array_ptr)
for i in range(struct.n_devices):
gpu = self.gpus[dev_ids[i]]
mem_obj = self.object_by_handle[struct.handle]
gpu.unmap_range(mem_obj.va_addr, mem_obj.size)
struct.n_success = i + 1
elif nr == kfd_ioctls.AMDKFD_IOC_CREATE_EVENT:
struct.event_slot_index = self._alloc_next_event_slot()
struct.event_id = struct.event_slot_index
if struct.event_type == kfd.KFD_IOC_EVENT_MEMORY: self.mmu_event_ids.append(struct.event_id)
elif nr == kfd_ioctls.AMDKFD_IOC_CREATE_QUEUE:
gpu = self.gpus[struct.gpu_id]
if struct.queue_type == kfd.KFD_IOC_QUEUE_TYPE_SDMA:
gpu.add_sdma_queue(struct.ring_base_address, struct.ring_size, struct.read_pointer_address, struct.write_pointer_address)
elif struct.queue_type == kfd.KFD_IOC_QUEUE_TYPE_COMPUTE:
gpu.add_pm4_queue(struct.ring_base_address, struct.ring_size, struct.read_pointer_address, struct.write_pointer_address)
else: raise RuntimeError("Unsuported, queue")
# Track writes to doorbell, calling callback
struct.doorbell_offset = self._alloc_doorbell(struct.gpu_id)
self.track_address(struct.doorbell_offset, struct.doorbell_offset + 8, lambda mv,off: None, lambda mv, off: self._emulate_execute())
elif nr == kfd_ioctls.AMDKFD_IOC_WAIT_EVENTS:
evs = (kfd.struct_kfd_event_data * struct.num_events).from_address(struct.events_ptr)
for ev in evs:
if ev.event_id in self.mmu_event_ids and "MOCKGPU_EMU_FAULTADDR" in os.environ:
ev.memory_exception_data.gpu_id = 1
ev.memory_exception_data.va = int(os.environ["MOCKGPU_EMU_FAULTADDR"], 16)
ev.memory_exception_data.failure.NotPresent = 1
else:
name = "unknown"
for k,v in kfd_ioctls.__dict__.items():
if nr == v: name = k
assert False, f"unknown kfd ioctl, {nr} {name}"
exit(1)
return 0
def _emulate_execute(self):
if self._executing: return # prevent re-entrancy
self._executing = True
try:
any_progress = True
while any_progress:
any_progress = False
for gpu in self.gpus.values():
for q in gpu.queues:
if q.executing: any_progress |= q.execute() > 0
finally:
self._executing = False

View File

@@ -0,0 +1,440 @@
import ctypes, time
from dataclasses import replace
from test.mockgpu.gpu import VirtGPU
from test.mockgpu.helpers import PythonRemu
from tinygrad.helpers import getbits, to_mv, getenv, DEV
from tinygrad.runtime.support import c
MOCKGPU_ARCH = "cdna4" if DEV.arch == "gfx950" else "rdna4" if DEV.arch.startswith("gfx12") else "rdna3"
assert (ma:=getenv("MOCKGPU_ARCH", "")) == "", "MOCKGPU_ARCH is deprecated, use DEV=" + \
str(replace(DEV.value, arch={"cdna4":"gfx950", "rdna4":"gfx1201"}.get(ma, "gfx1100"))) # type: ignore
GFX_TARGET_VERSION = {"rdna3": 110000, "rdna4": 120000, "cdna4": 90500}[MOCKGPU_ARCH]
import tinygrad.runtime.autogen.amd_gpu as amd_gpu, tinygrad.runtime.autogen.am.pm4_nv as pm4
SDMA_MAX_COPY_SIZE = 0x400000
regCOMPUTE_PGM_LO = 0x1bac + amd_gpu.GC_BASE__INST0_SEG0
regCOMPUTE_PGM_RSRC2 = 0x1bb3 + amd_gpu.GC_BASE__INST0_SEG0
regCOMPUTE_TMPRING_SIZE = 0x1bb8 + amd_gpu.GC_BASE__INST0_SEG0
regCOMPUTE_USER_DATA_0 = 0x1be0 + amd_gpu.GC_BASE__INST0_SEG0
regCOMPUTE_NUM_THREAD_X = 0x1ba7 + amd_gpu.GC_BASE__INST0_SEG0
regGRBM_GFX_INDEX = 0x2200 + amd_gpu.GC_BASE__INST0_SEG1
regSQ_THREAD_TRACE_BUF0_BASE = 0x39e8 + amd_gpu.GC_BASE__INST0_SEG1
regSQ_THREAD_TRACE_BUF0_SIZE = {"rdna3": 0x39e9, "rdna4": 0x39e6, "cdna4": 0x39e9}[MOCKGPU_ARCH] + amd_gpu.GC_BASE__INST0_SEG1
regSQ_THREAD_TRACE_WPTR = 0x39ef + amd_gpu.GC_BASE__INST0_SEG1
regSQ_THREAD_TRACE_STATUS = 0x39f4 + amd_gpu.GC_BASE__INST0_SEG1
regCP_PERFMON_CNTL = 0x3808 + amd_gpu.GC_BASE__INST0_SEG1
regCPG_PERFCOUNTER1_LO = 0x3000 + amd_gpu.GC_BASE__INST0_SEG1
regGUS_PERFCOUNTER_HI = 0x3643 + amd_gpu.GC_BASE__INST0_SEG1
# RDNA 4
regSQ_THREAD_TRACE_BUF0_BASE_LO = 0x39e7 + amd_gpu.GC_BASE__INST0_SEG1
regSQ_THREAD_TRACE_BUF0_BASE_HI = regSQ_THREAD_TRACE_BUF0_BASE
class SQTT_EVENTS:
THREAD_TRACE_FINISH = 0x00000037
CACHE_FLUSH_AND_INV_TS_EVENT = 0x14
WAIT_REG_MEM_FUNCTION_ALWAYS = 0
WAIT_REG_MEM_FUNCTION_EQ = 3 # ==
WAIT_REG_MEM_FUNCTION_NEQ = 4 # !=
WAIT_REG_MEM_FUNCTION_GEQ = 5 # >=
remu = PythonRemu()
def create_sdma_packets():
# TODO: clean up this, if we want to keep it
structs = {}
for name,pkt in [(name,s) for name,s in amd_gpu.__dict__.items() if name.startswith("rocr_AMD_SDMA_PKT_") and name.endswith("_TAG")]:
names = set()
fields = []
for pkt_fields in pkt._real_fields_:
if not pkt_fields[0].endswith("_UNION"): fields.append(pkt_fields)
else:
for union_fields in pkt_fields[1]._real_fields_[:-1]:
fname = union_fields[0]
if fname in names: fname = pkt_fields[0]+fname
names.add(fname)
# merge together 64-bit fields, otherwise just append them
if fname.endswith("_63_32") and fields[-1][0].endswith("_31_0"): fields[-1] = (fname[:-6], ctypes.c_ulong, fields[-1][2], 64, 0)
else: fields.append((fname, union_fields[1], union_fields[2] + pkt_fields[2], *union_fields[3:]))
new_name = name[18:-4].lower()
structs[new_name] = c.init_c_struct_t(ctypes.sizeof(pkt), tuple(fields))
return type("SDMA_PKTS", (object, ), structs)
sdma_pkts = create_sdma_packets()
class AMDQueue:
def __init__(self, base, size, rptr, wptr):
self.queue, self.size = to_mv(base, size).cast("I"), size
self.rptr = to_mv(rptr, 8).cast("Q") if isinstance(rptr, int) else rptr
self.wptr = to_mv(wptr, 8).cast("Q") if isinstance(wptr, int) else wptr
@property
def executing(self): return self.rptr[0] < self.wptr[0]
class PM4Executor(AMDQueue):
def __init__(self, gpu, base, size, rptr, wptr):
self.gpu = gpu
self.ib_executor: PM4Executor|None = None
super().__init__(base, size, rptr, wptr)
def _next_dword(self):
x = self.queue[self.rptr[0] % (self.size // 4)]
self.rptr[0] += 1
return x
@property
def executing(self): return self.rptr[0] < self.wptr[0] or self.ib_executor is not None
def execute(self):
prev_rptr, executed_in_ib, cont = self.rptr[0], 0, True
while self.executing and cont:
if self.ib_executor is not None:
executed_in_ib += self.ib_executor.execute()
if self.ib_executor.executing: break
self.ib_executor = None
continue # this continue is needed if PACKET3_INDIRECT_BUFFER is the last packet and rptr == wptr
header = self._next_dword()
packet_type = header >> 30
op = (header >> 8) & 0xFF
n = (header >> 16) & 0x3FFF
assert packet_type == 3, "Can parse only packet3"
if op == amd_gpu.PACKET3_SET_SH_REG: self._exec_set_reg(n, pm4.PACKET3_SET_SH_REG_START)
elif op == amd_gpu.PACKET3_SET_UCONFIG_REG: self._exec_set_reg(n, pm4.PACKET3_SET_UCONFIG_REG_START)
elif op == amd_gpu.PACKET3_ACQUIRE_MEM: self._exec_acquire_mem(n)
elif op == amd_gpu.PACKET3_RELEASE_MEM: self._exec_release_mem(n)
elif op == amd_gpu.PACKET3_COPY_DATA: self._exec_copy_data(n)
elif op == amd_gpu.PACKET3_WAIT_REG_MEM: cont = self._exec_wait_reg_mem(n)
elif op == amd_gpu.PACKET3_DISPATCH_DIRECT: self._exec_dispatch_direct(n)
elif op == amd_gpu.PACKET3_INDIRECT_BUFFER: self._exec_indirect_buffer(n)
elif op == amd_gpu.PACKET3_EVENT_WRITE: self._exec_event_write(n)
else: raise RuntimeError(f"PM4: Unknown opcode: {op}")
return (self.rptr[0] - prev_rptr) + executed_in_ib
def _exec_acquire_mem(self, n):
assert n in (5, 6)
for _ in range(n + 1): self._next_dword() # TODO: implement
def _exec_release_mem(self, n):
assert n == 6
mem_event_type = (self._next_dword() >> 0) & 0xff
selectors = self._next_dword()
mem_data_sel = (selectors >> 29) & 0b111
# int_sel = (selectors >> 24) & 0b11
# mem_dst_sel = (selectors >> 16) & 0b1
addr_lo = self._next_dword()
addr_hi = self._next_dword()
val_lo = self._next_dword()
val_hi = self._next_dword()
val = val_lo + (val_hi << 32)
_ = self._next_dword() # ev
ptr = to_mv(self.gpu.translate_addr(addr_lo + (addr_hi << 32)), 8)
if mem_data_sel == 1 or mem_data_sel == 2: ptr.cast('Q')[0] = val
elif mem_data_sel == 3:
if mem_event_type == CACHE_FLUSH_AND_INV_TS_EVENT: ptr.cast('Q')[0] = int(time.perf_counter() * 1e8)
else: raise RuntimeError(f"Unknown {mem_data_sel=} {mem_event_type=}")
elif mem_data_sel == 0: pass # no write
else: raise RuntimeError(f"Unknown {mem_data_sel=}")
def _exec_copy_data(self, n):
assert n == 4
copy_data_flags = self._next_dword()
src_addr_lo = self._next_dword()
_src_addr_hi = self._next_dword()
dst_addr_lo = self._next_dword()
dst_addr_hi = self._next_dword()
assert copy_data_flags in {0x100204, 0x000204}, hex(copy_data_flags) # better fail than silently do the wrong thing
to_mv(self.gpu.translate_addr(dst_addr_hi<<32|dst_addr_lo), 4).cast('I')[0] = self.gpu.regs[src_addr_lo]
def _exec_wait_reg_mem(self, n):
assert n == 5
info = self._next_dword()
addr_lo = self._next_dword()
addr_hi = self._next_dword()
val = self._next_dword()
mask = self._next_dword()
_ = self._next_dword() # timeout
mem_function = (info >> 0) & 0b111
mem_space = (info >> 4) & 0b1
mem_op = (info >> 6) & 0b1
_ = (info >> 8) & 0b1 # mem_engine
if mem_space == 0 and mem_op == 1: mval = val # hack for memory barrier, should properly handle (req_req, reg_done)
elif mem_space == 0: mval = self.gpu.regs[addr_hi<<32|addr_lo]
elif mem_space == 1: mval = to_mv(self.gpu.translate_addr(addr_lo + (addr_hi << 32)), 4).cast('I')[0]
mval &= mask
if mem_function == WAIT_REG_MEM_FUNCTION_GEQ: can_cont = bool(mval >= val)
elif mem_function == WAIT_REG_MEM_FUNCTION_NEQ: can_cont = bool(mval != val)
elif mem_function == WAIT_REG_MEM_FUNCTION_EQ: can_cont = bool(mval == val)
else: raise RuntimeError(f"Do not support {mem_function=}")
if not can_cont: self.rptr[0] = self.rptr[0] - 7 # revert this packet, need to wait again
return can_cont
def _exec_set_reg(self, n, off):
reg = off + self._next_dword()
for i in range(n):
self.gpu.regs[reg] = self._next_dword()
reg += 1
def _exec_dispatch_direct(self, n):
assert n == 3
gl = [self._next_dword() for _ in range(3)]
_ = self._next_dword() # flags
prg_addr = (self.gpu.regs[regCOMPUTE_PGM_LO] + (self.gpu.regs[regCOMPUTE_PGM_LO + 1] << 32)) << 8
args_addr = self.gpu.regs[regCOMPUTE_USER_DATA_0] + (self.gpu.regs[regCOMPUTE_USER_DATA_0 + 1] << 32)
lc = [self.gpu.regs[i] for i in range(regCOMPUTE_NUM_THREAD_X, regCOMPUTE_NUM_THREAD_X+3)]
rsrc2 = self.gpu.regs[regCOMPUTE_PGM_RSRC2]
# Read all user data registers (hardware loads these directly into s[0:N])
user_sgpr_count = (rsrc2 >> 1) & 0x1F # USER_SGPR_COUNT is bits 1:5
user_data = []
for i in range(user_sgpr_count):
try: user_data.append(self.gpu.regs[regCOMPUTE_USER_DATA_0 + i])
except KeyError: user_data.append(0)
prg_sz = 0
for st,sz in self.gpu.mapped_ranges:
if st <= prg_addr < st+sz: prg_sz = sz - (prg_addr - st)
# Get scratch size from COMPUTE_TMPRING_SIZE register
# WAVESIZE = ceildiv(lanes * size_per_thread, mem_alignment_size)
# GFX11+: mem_alignment_size=256, so size_per_thread = WAVESIZE * 256 / 64 = WAVESIZE * 4
# GFX9: mem_alignment_size=1024, so size_per_thread = WAVESIZE * 1024 / 64 = WAVESIZE * 16
try: tmpring_size = self.gpu.regs[regCOMPUTE_TMPRING_SIZE]
except KeyError: tmpring_size = 0
wavesize = (tmpring_size >> 12) & 0x3FFF # WAVESIZE field is bits 12:25
scratch_size = wavesize * (16 if self.gpu.arch == "cdna" else 4) # per-thread scratch size in bytes
assert prg_sz > 0, "Invalid prg ptr (not found in mapped ranges)"
# Pass valid memory ranges, rsrc2, scratch_size, arch, and user data registers to the emulator
remu.valid_mem_ranges = self.gpu.mapped_ranges
remu.rsrc2 = rsrc2
remu.scratch_size = scratch_size
remu.arch = self.gpu.arch
remu.user_data = user_data
err = remu.run_asm(prg_addr, prg_sz, gl[0], gl[1], gl[2], lc[0], lc[1], lc[2], args_addr)
if err != 0: raise RuntimeError("remu does not support the new instruction introduced in this kernel")
def _exec_indirect_buffer(self, n):
addr_lo = self._next_dword()
addr_hi = self._next_dword()
buf_sz = self._next_dword() & (0x7fffff)
rptr = memoryview(bytearray(8)).cast('Q')
wptr = memoryview(bytearray(8)).cast('Q')
rptr[0] = 0
wptr[0] = buf_sz
self.ib_executor = PM4Executor(self.gpu, self.gpu.translate_addr((addr_hi << 32) | addr_lo), buf_sz * 4, rptr, wptr)
def _exec_event_write(self, n):
assert n == 0
event_dw = self._next_dword()
match (event_dw & 0xFF): # event type
case SQTT_EVENTS.THREAD_TRACE_FINISH:
# Get the most recent trace from the emulator (if available)
from test.mockgpu.amd.emu import sqtt_traces
blob = sqtt_traces.pop(0) if sqtt_traces else b''
old_idx = self.gpu.regs.grbm_index
for se in range(self.gpu.regs.n_se):
self.gpu.regs.grbm_index = 0b011 << 29 | se << 16 # select se, broadcast sa and instance
self.gpu.regs[regSQ_THREAD_TRACE_STATUS] = 1 << 12 # FINISH_PENDING==0 FINISH_DONE==1 BUSY==0
if MOCKGPU_ARCH == "rdna3":
buf_addr = ((self.gpu.regs[regSQ_THREAD_TRACE_BUF0_SIZE]&0xf)<<32|self.gpu.regs[regSQ_THREAD_TRACE_BUF0_BASE])<<12
else:
buf_addr = ((self.gpu.regs[regSQ_THREAD_TRACE_BUF0_BASE_HI])<<32|self.gpu.regs[regSQ_THREAD_TRACE_BUF0_BASE_LO])<<12
# Use real trace blob for SE 0 (which has itrace enabled), empty blob for other SEs
se_blob = blob if se == 0 else b''
# Write blob to trace buffer
if se_blob: ctypes.memmove(buf_addr, se_blob, len(se_blob))
# RDNA3 has absolute address for wptr, RDNA4 has relative
wptr_val = (((buf_addr if MOCKGPU_ARCH == "rdna3" else 0) + len(se_blob)) // 32) & 0x1FFFFFFF
self.gpu.regs[regSQ_THREAD_TRACE_WPTR] = wptr_val
self.gpu.regs.grbm_index = old_idx
case _: pass # NOTE: for now most events aren't emulated
class SDMAExecutor(AMDQueue):
def __init__(self, gpu, base, size, rptr, wptr):
self.gpu, self.base = gpu, base
super().__init__(base, size, rptr, wptr)
def execute(self):
prev_rptr, cont = self.rptr[0], True
while self.executing and cont:
header = self.queue[(self.rptr[0] // 4) % (self.size // 4)]
op = (header >> 0) & 0xff
if op == 0: self.rptr[0] += 4
elif op == amd_gpu.SDMA_OP_FENCE: self._execute_fence()
elif op == amd_gpu.SDMA_OP_TRAP: self._execute_trap()
elif op == amd_gpu.SDMA_OP_POLL_REGMEM: cont = self._execute_poll_regmem()
elif op == amd_gpu.SDMA_OP_GCR: self._execute_gcr()
elif op == amd_gpu.SDMA_OP_COPY: self._execute_copy()
elif op == amd_gpu.SDMA_OP_TIMESTAMP: self._execute_timestamp()
elif op == 32: self.rptr[0] += 4 # SDMA_OP_DUMMY_TRAP: pipeline flush, no interrupt
else: raise RuntimeError(f"Unknown SDMA op {op}")
return self.rptr[0] - prev_rptr
def _execute_fence(self):
struct = sdma_pkts.fence.from_address(self.base + self.rptr[0] % self.size)
to_mv(self.gpu.translate_addr(struct.addr), 8).cast('Q')[0] = struct.data
self.rptr[0] += ctypes.sizeof(struct)
def _execute_trap(self):
struct = sdma_pkts.trap.from_address(self.base + self.rptr[0] % self.size)
self.rptr[0] += ctypes.sizeof(struct)
def _execute_poll_regmem(self):
struct = sdma_pkts.poll_regmem.from_address(self.base + self.rptr[0] % self.size)
if struct.mem_poll == 0: mval = struct.value & struct.mask
elif struct.mem_poll == 1: mval = to_mv(self.gpu.translate_addr(struct.addr), 4).cast('I')[0] & struct.mask
if struct.func == WAIT_REG_MEM_FUNCTION_GEQ: can_cont = bool(mval >= struct.value)
elif struct.func == WAIT_REG_MEM_FUNCTION_EQ: can_cont = bool(mval == struct.value)
elif struct.func == WAIT_REG_MEM_FUNCTION_ALWAYS: can_cont = True
else: raise RuntimeError(f"Do not support {struct.func=}")
if not can_cont: return False
self.rptr[0] += ctypes.sizeof(struct)
return True
def _execute_timestamp(self):
struct = sdma_pkts.timestamp.from_address(self.base + self.rptr[0] % self.size)
mem = to_mv(self.gpu.translate_addr(struct.addr), 8).cast('Q')
mem[0] = int(time.perf_counter() * 1e8)
self.rptr[0] += ctypes.sizeof(struct)
def _execute_gcr(self):
struct = sdma_pkts.gcr.from_address(self.base + self.rptr[0] % self.size)
self.rptr[0] += ctypes.sizeof(struct)
def _execute_copy(self):
struct = sdma_pkts.copy_linear.from_address(self.base + self.rptr[0] % self.size)
count_cnt = to_mv(self.base + self.rptr[0] % self.size + 4, 4).cast('I')[0] & 0x3FFFFFFF
ctypes.memmove(self.gpu.translate_addr(struct.dst_addr), self.gpu.translate_addr(struct.src_addr), count_cnt + 1)
self.rptr[0] += ctypes.sizeof(struct)
class AMDGPURegisters:
def __init__(self, n_se:int=6):
self.n_se = n_se
self.grbm_index = 0b111 << 0x1d # all broadcast. NOTE: only per-se register emulation is currently supported
self.regs: dict[tuple[int, int], int] = {}
def __getitem__(self, addr:int) -> int:
if addr == regGRBM_GFX_INDEX: return self.grbm_index
if regCPG_PERFCOUNTER1_LO < addr < regGUS_PERFCOUNTER_HI:
assert self.regs[(regCP_PERFMON_CNTL, 0)] == 0x401, "read mode should be enabled"
return addr << 16 | self.grbm_index
return self.regs[(addr, getbits(self.grbm_index, 16, 23))]
def __setitem__(self, addr:int, val:int):
if addr == regGRBM_GFX_INDEX: self.grbm_index = val
if getbits(self.grbm_index, 31, 31):
for se in range(self.n_se): self.regs[(addr, se)] = val
else:
self.regs[(addr, getbits(self.grbm_index, 16, 23))] = val
class AMDGPU(VirtGPU):
def __init__(self, gpuid):
super().__init__(gpuid)
self.regs = AMDGPURegisters()
self.mapped_ranges = set()
self.queues = []
self.arch = "cdna" if MOCKGPU_ARCH == "cdna4" else MOCKGPU_ARCH
def translate_addr(self, addr:int) -> int: return addr
def map_range(self, vaddr, size): self.mapped_ranges.add((vaddr, size))
def unmap_range(self, vaddr, size): self.mapped_ranges.remove((vaddr, size))
def add_pm4_queue(self, base, size, rptr, wptr):
self.queues.append(PM4Executor(self, base, size, rptr, wptr))
return len(self.queues) - 1
def add_sdma_queue(self, base, size, rptr, wptr):
self.queues.append(SDMAExecutor(self, base, size, rptr, wptr))
return len(self.queues) - 1
_gpu_props_rdna = """cpu_cores_count 0
simd_count 192
mem_banks_count 1
caches_count 206
io_links_count 1
p2p_links_count 5
cpu_core_id_base 0
simd_id_base 2147488032
max_waves_per_simd 16
lds_size_in_kb 64
gds_size_in_kb 0
num_gws 64
wave_front_size 32
array_count 12
simd_arrays_per_engine 2
cu_per_simd_array 8
simd_per_cu 2
max_slots_scratch_cu 32
gfx_target_version {gfx_target_version}
vendor_id 4098
device_id 29772
location_id 34304
domain 0
drm_render_minor {drm_render_minor}
hive_id 0
num_sdma_engines 2
num_sdma_xgmi_engines 0
num_sdma_queues_per_engine 6
num_cp_queues 8
max_engine_clk_fcompute 2482
local_mem_size 0
fw_version 2140
capability 671588992
debug_prop 1495
sdma_fw_version 20
unique_id 11673270660693242239
num_xcc 1
max_engine_clk_ccompute 2400"""
_gpu_props_cdna = """cpu_cores_count 0
simd_count 304
mem_banks_count 1
caches_count 206
io_links_count 1
p2p_links_count 5
cpu_core_id_base 0
simd_id_base 2147488032
max_waves_per_simd 16
lds_size_in_kb 160
gds_size_in_kb 0
num_gws 64
wave_front_size 64
array_count 16
simd_arrays_per_engine 4
cu_per_simd_array 19
simd_per_cu 2
max_slots_scratch_cu 32
gfx_target_version {gfx_target_version}
vendor_id 4098
device_id 29772
location_id 34304
domain 0
drm_render_minor {drm_render_minor}
hive_id 0
num_sdma_engines 2
num_sdma_xgmi_engines 0
num_sdma_queues_per_engine 6
num_cp_queues 8
max_engine_clk_fcompute 2100
local_mem_size 0
fw_version 2140
capability 671588992
debug_prop 1495
sdma_fw_version 20
unique_id 11673270660693242239
num_xcc 1
max_engine_clk_ccompute 2100"""
gpu_props = _gpu_props_cdna if MOCKGPU_ARCH == "cdna4" else _gpu_props_rdna

File diff suppressed because it is too large Load Diff

File diff suppressed because it is too large Load Diff

View File

@@ -0,0 +1,175 @@
from __future__ import annotations
from typing import Any
import ctypes, time
from tinygrad.runtime.autogen import cuda as orig_cuda
from test.mockgpu.helpers import _try_dlopen_gpuocelot
from tinygrad.helpers import mv_address
for attr in dir(orig_cuda):
if not attr.startswith('__'):
globals()[attr] = getattr(orig_cuda, attr)
gpuocelot_lib = _try_dlopen_gpuocelot()
# Global state
class CUDAState:
def __init__(self):
self.memory: dict[int, memoryview] = {}
self.events: dict[int, float] = {} # Event ID -> timestamp
self.modules: dict[int, memoryview] = {} # Module ID -> code
self.current_context: int|None = None
self.contexts: dict[int, dict] = {} # Context ID -> context data
self.devices: dict[int, dict] = {} # Device ID -> device data
self.next_ptr = 1000 # For memory allocation
self.next_event_id = 1
self.next_module_id = 1
self.next_context_id = 1
cuda_state = CUDAState()
# Helper functions
def check_context():
if cuda_state.current_context is None:
return orig_cuda.CUDA_ERROR_INVALID_VALUE
return orig_cuda.CUDA_SUCCESS
# CUDA API simulation
def cuInit(flags: int) -> int:
return orig_cuda.CUDA_SUCCESS
def cuDeviceGet(device, ordinal: int) -> int:
if ordinal < 0:
return orig_cuda.CUDA_ERROR_INVALID_VALUE
device._obj.value = ordinal
cuda_state.devices[ordinal] = {"compute_capability": (3, 5)}
return orig_cuda.CUDA_SUCCESS
def cuCtxCreate_v2(pctx, flags: int, dev: int) -> int:
ctx_id = cuda_state.next_context_id
cuda_state.next_context_id += 1
cuda_state.contexts[ctx_id] = {"device": dev, "flags": flags}
pctx._obj.value = ctx_id
return orig_cuda.CUDA_SUCCESS
def cuCtxSetCurrent(context) -> int:
if context.value not in cuda_state.contexts:
return orig_cuda.CUDA_ERROR_INVALID_VALUE
cuda_state.current_context = context.value
return orig_cuda.CUDA_SUCCESS
def cuMemAlloc_v2(dptr, bytesize: int) -> int:
x = memoryview(bytearray(bytesize))
dptr._obj.value = mv_address(x)
cuda_state.memory[dptr._obj.value] = x
return orig_cuda.CUDA_SUCCESS
def cuMemFree_v2(dptr) -> int:
if dptr.value in cuda_state.memory:
del cuda_state.memory[dptr.value]
return orig_cuda.CUDA_SUCCESS
return orig_cuda.CUDA_ERROR_INVALID_VALUE
def cuMemcpyHtoDAsync_v2(dst, src: ctypes.c_void_p, bytesize: int, stream: Any) -> int:
ctypes.memmove(dst if isinstance(dst, int) else dst.value, src, bytesize)
return orig_cuda.CUDA_SUCCESS
def cuMemcpyDtoH_v2(dst: ctypes.c_void_p, src, bytesize: int) -> int:
ctypes.memmove(dst, src if isinstance(src, int) else src.value, bytesize)
return orig_cuda.CUDA_SUCCESS
def cuEventCreate(phEvent, flags: int) -> int:
event_id = cuda_state.next_event_id
cuda_state.next_event_id += 1
cuda_state.events[event_id] = 0.0
phEvent._obj.value = event_id
return orig_cuda.CUDA_SUCCESS
def cuEventRecord(hEvent, hStream: Any) -> int:
if hEvent.value not in cuda_state.events:
return orig_cuda.CUDA_ERROR_INVALID_VALUE
cuda_state.events[hEvent.value] = time.perf_counter_ns()
return orig_cuda.CUDA_SUCCESS
def cuEventSynchronize(hEvent) -> int:
if hEvent.value not in cuda_state.events:
return orig_cuda.CUDA_ERROR_INVALID_VALUE
return orig_cuda.CUDA_SUCCESS
def cuEventElapsedTime(pMilliseconds, hStart, hEnd) -> int:
if hStart.value not in cuda_state.events or hEnd.value not in cuda_state.events:
return orig_cuda.CUDA_ERROR_INVALID_VALUE
elapsed = (cuda_state.events[hEnd.value] - cuda_state.events[hStart.value]) * 1e-6
pMilliseconds._obj.value = elapsed
return orig_cuda.CUDA_SUCCESS
def cuEventDestroy_v2(hEvent) -> int:
if hEvent.value in cuda_state.events:
del cuda_state.events[hEvent.value]
return orig_cuda.CUDA_SUCCESS
def cuModuleLoadData(module, image: bytes) -> int:
module_id = cuda_state.next_module_id
cuda_state.next_module_id += 1
cuda_state.modules[module_id] = memoryview(bytearray(image))
module._obj.value = module_id
return orig_cuda.CUDA_SUCCESS
def cuModuleGetFunction(hfunc, hmod, name: bytes) -> int:
if hmod.value not in cuda_state.modules:
return orig_cuda.CUDA_ERROR_INVALID_VALUE
hfunc._obj.value = mv_address(cuda_state.modules[hmod.value])
return orig_cuda.CUDA_SUCCESS
def cuModuleUnload(hmod) -> int:
if hmod.value in cuda_state.modules:
del cuda_state.modules[hmod.value]
return orig_cuda.CUDA_SUCCESS
def cuLaunchKernel(f, gx: int, gy: int, gz: int, lx: int, ly: int, lz: int, sharedMemBytes: int,
hStream: Any, kernelParams: Any, extra: Any) -> int:
cargs = [ctypes.cast(getattr(extra, field[0]), ctypes.c_void_p) for field in extra._real_fields_]
try: gpuocelot_lib.ptx_run(ctypes.cast(f.value, ctypes.c_char_p), len(cargs), (ctypes.c_void_p*len(cargs))(*cargs), lx, ly, lz, gx, gy, gz, 0)
except Exception as e:
print("Error in cuLaunchKernel:", e)
return orig_cuda.CUDA_ERROR_LAUNCH_FAILED
return orig_cuda.CUDA_SUCCESS
def cuDeviceComputeCapability(major, minor, dev: int) -> int:
if dev not in cuda_state.devices:
return orig_cuda.CUDA_ERROR_INVALID_VALUE
major._obj.value = 3
minor._obj.value = 5
return orig_cuda.CUDA_SUCCESS
def cuDeviceCanAccessPeer(canAccessPeer, dev: int, peerDev: int) -> int:
canAccessPeer._obj.value = 1 # Always allow peer access in simulation
return orig_cuda.CUDA_SUCCESS
def cuCtxEnablePeerAccess(peerContext, flags: int) -> int:
return orig_cuda.CUDA_SUCCESS
def cuMemHostAlloc(pp, bytesize: int, flags: int) -> int:
return cuMemAlloc_v2(pp, bytesize)
def cuMemFreeHost(p: ctypes.c_void_p) -> int: return cuMemFree_v2(p)
def cuMemcpyDtoDAsync_v2(dst, src, bytesize: int, stream: Any) -> int:
ctypes.memmove(dst if isinstance(dst, int) else dst.value, src if isinstance(src, int) else src.value, bytesize)
return orig_cuda.CUDA_SUCCESS
def cuFuncSetAttribute(hfunc, attrib: int, value: int) -> int:
return orig_cuda.CUDA_SUCCESS
def cuStreamWaitEvent(stream: Any, event, flags: int) -> int: return orig_cuda.CUDA_SUCCESS
def cuCtxSynchronize() -> int: return orig_cuda.CUDA_SUCCESS
def cuGetErrorString(error: int, pStr) -> int:
error_str = orig_cuda.enum_cudaError_enum.get(error, "Unknown CUDA error").encode()
buf = ctypes.create_string_buffer(error_str)
# Set the pointer to point to our error string buffer
pStr._obj.value = ctypes.cast(buf, ctypes.POINTER(ctypes.c_char))
return orig_cuda.CUDA_SUCCESS
def cuDeviceGetCount(count) -> int:
count._obj.value = 1
return orig_cuda.CUDA_SUCCESS

View File

@@ -0,0 +1,39 @@
from typing import Any
from dataclasses import dataclass
class VirtFileDesc:
def __init__(self, fd): self.fd, self.off = fd, 0
def ioctl(self, fd, req, argp): raise NotImplementedError()
def mmap(self, st, sz, prot, flags, fd, off): raise NotImplementedError()
def close(self, fd): return 0
class TextFileDesc(VirtFileDesc):
def __init__(self, fd, text):
super().__init__(fd)
self.content = text
def ioctl(self, fd, req, argp): return 0
def read_contents(self, size=None):
ret = self.content[self.off:self.off+(size or len(self.content))]
self.off += (size or len(self.content))
return ret
def seek(self, offset): self.off += offset
class DirFileDesc(VirtFileDesc):
def __init__(self, fd, child_names):
super().__init__(fd)
self.child_names = child_names
def ioctl(self, fd, req, argp): return 0
def list_contents(self): return self.child_names
@dataclass(frozen=True)
class VirtFile:
path: str
fdcls: Any # TODO: fix this Union[VirtFileDesc, functools.partial[VirtFileDesc]]
class VirtDriver:
def __init__(self):
self.tracked_files = []
self.tracked_addresses = []
def track_address(self, staddr, enaddr, rcb, wcb): self.tracked_addresses.append((staddr, enaddr, rcb, wcb))
def open(self, name, flags, mode, fdcls): raise NotImplementedError()

View File

@@ -0,0 +1,4 @@
class VirtGPU:
def __init__(self, gpuid): self.gpuid = gpuid
def map_range(self, vaddr, size): raise NotImplementedError()
def unmap_range(self, vaddr, size): raise NotImplementedError()

View File

@@ -0,0 +1,27 @@
import ctypes, ctypes.util
def _try_dlopen_gpuocelot():
GPUOCELOT_PATHS = [ctypes.util.find_library("gpuocelot")] if ctypes.util.find_library("gpuocelot") is not None else []
GPUOCELOT_PATHS += ["libgpuocelot.so", "/usr/local/lib/libgpuocelot.so",
"libgpuocelot.dylib", "/usr/local/lib/libgpuocelot.dylib", "/opt/homebrew/lib/libgpuocelot.dylib"]
for path in GPUOCELOT_PATHS:
try:
gpuocelot_lib = ctypes.CDLL(path)
gpuocelot_lib.ptx_run.argtypes = [ctypes.c_char_p, ctypes.c_int, ctypes.POINTER(ctypes.c_void_p), ctypes.c_int, ctypes.c_int,
ctypes.c_int, ctypes.c_int, ctypes.c_int, ctypes.c_int, ctypes.c_int]
except OSError: pass
else: return gpuocelot_lib
print("Could not find libgpuocelot.so")
return None
class PythonRemu:
"""Python RDNA3/RDNA4 emulator wrapper used by mockgpu."""
valid_mem_ranges: set[tuple[int, int]] = set()
rsrc2: int = 0x19c # Default: USER_SGPR_COUNT=14, enable X and Y workgroup IDs
scratch_size: int = 0 # private_segment_fixed_size from kernel descriptor
arch: str = "rdna3" # Architecture: rdna3 or rdna4
user_data: list[int] = [] # All COMPUTE_USER_DATA registers (loaded into s[0:N])
def run_asm(self, lib: int, lib_sz: int, gx: int, gy: int, gz: int, lx: int, ly: int, lz: int, args_ptr: int) -> int:
from test.mockgpu.amd.emu import run_asm
return run_asm(lib, lib_sz, gx, gy, gz, lx, ly, lz, args_ptr, self.rsrc2, self.scratch_size, self.arch, self.user_data)

View File

@@ -0,0 +1,114 @@
import ctypes, ctypes.util, time, os, builtins, fcntl
from tinygrad.helpers import DEV
from tinygrad.runtime.support.hcq import FileIOInterface
from test.mockgpu.nv.nvdriver import NVDriver
from test.mockgpu.amd.amddriver import AMDDriver
from test.mockgpu.am.amdriver import AMDriver, AMUSBDriver
start = time.perf_counter()
# *** ioctl lib ***
libc = ctypes.CDLL(ctypes.util.find_library("c"))
libc.mmap.argtypes = [ctypes.c_void_p, ctypes.c_size_t, ctypes.c_int, ctypes.c_int, ctypes.c_int, ctypes.c_long]
libc.mmap.restype = ctypes.c_void_p
drivers = [cls() for t in DEV.value if (cls:={"MOCKPCI+AMD": AMDriver, "MOCKKFD+AMD": AMDDriver, "MOCK+AMD": AMDDriver, "MOCKUSB+AMD": AMUSBDriver,
"MOCK+NV": NVDriver}.get(f"{t.interface}+{t.device}"))]
tracked_fds = {}
original_memoryview = builtins.memoryview
class TrackedMemoryView:
def __init__(self, data, rcb, wcb):
self.mv = original_memoryview(data)
self.rcb, self.wcb = rcb, wcb
def __getitem__(self, index):
self.rcb(self.mv, index)
return self.mv[index]
def __setitem__(self, index, value):
self.mv[index] = value
self.wcb(self.mv, index)
def cast(self, new_type, **kwargs):
self.mv = self.mv.cast('B').cast(new_type, **kwargs)
return self
@property
def nbytes(self): return self.mv.nbytes
def __len__(self): return len(self.mv)
def __repr__(self): return repr(self.mv)
def _memoryview(cls, mem):
if isinstance(mem, int) or isinstance(mem, ctypes.Array):
addr = ctypes.addressof(mem) if isinstance(mem, ctypes.Array) else mem
for d in drivers:
for st,en,rcb,wcb in d.tracked_addresses:
if st <= addr <= en: return TrackedMemoryView(mem, rcb, wcb)
return original_memoryview(mem)
class _MockMemoryviewMeta(type):
def __instancecheck__(cls, instance): return isinstance(instance, (original_memoryview, TrackedMemoryView))
builtins.memoryview = _MockMemoryviewMeta("memoryview", (), {'__new__': _memoryview}) # type: ignore
def _open(path, flags):
for d in drivers:
for x in d.tracked_files:
if path == x.path:
virtfd = d.open(path, flags, 0o777, x)
tracked_fds[virtfd.fd] = virtfd
return virtfd.fd
return os.open(path, flags, 0o777) if os.path.exists(path) else None
class MockFileIOInterface(FileIOInterface):
def __init__(self, path:str="", flags:int=os.O_RDONLY, fd:int|None=None):
self.path = path
self.fd = fd or _open(path, flags)
def __del__(self):
if self.fd in tracked_fds:
tracked_fds[self.fd].close(self.fd)
tracked_fds.pop(self.fd)
elif self.fd is not None: os.close(self.fd)
def ioctl(self, request, arg):
if self.fd in tracked_fds:
return tracked_fds[self.fd].ioctl(self.fd, request, ctypes.addressof(arg))
return fcntl.ioctl(self.fd, request, arg)
def mmap(self, start, sz, prot, flags, offset):
if self.fd in tracked_fds:
return tracked_fds[self.fd].mmap(start, sz, prot, flags, self.fd, offset)
return libc.mmap(start, sz, prot, flags, self.fd, offset)
def read(self, size=None, binary=False, offset=None):
if self.fd in tracked_fds:
if offset is not None: tracked_fds[self.fd].seek(offset)
return tracked_fds[self.fd].read_contents(size)
if binary: raise NotImplementedError()
with open(self.fd, "rb" if binary else "r", closefd=False) as file:
if file.tell() >= os.fstat(self.fd).st_size: file.seek(0)
return file.read(size)
def listdir(self):
if self.fd in tracked_fds:
return tracked_fds[self.fd].list_contents()
return os.listdir(self.path)
def write(self, content, binary=False, offset=None):
if self.fd in tracked_fds:
if offset is not None: tracked_fds[self.fd].seek(offset)
return tracked_fds[self.fd].write_contents(content)
raise NotImplementedError()
def seek(self, offset):
if self.fd in tracked_fds:
tracked_fds[self.fd].seek(offset)
else:
os.lseek(self.fd, offset, os.SEEK_CUR)
@staticmethod
def anon_mmap(start, sz, prot, flags, offset):
return FileIOInterface._mmap(start, sz, prot, flags & ~0x4a000, -1, offset) # strip MAP_LOCKED|MAP_POPULATE|MAP_HUGETLB
@staticmethod
def exists(path): return _open(path, os.O_RDONLY) is not None
@staticmethod
def readlink(path): raise NotImplementedError()
@staticmethod
def eventfd(initval, flags=None): NotImplementedError()

View File

@@ -0,0 +1,301 @@
import ctypes, mmap, collections, functools, os
from tinygrad.runtime.autogen import nv_570 as nv_gpu
from typing import cast, Any
from tinygrad.helpers import to_mv
from test.mockgpu.driver import VirtDriver, VirtFileDesc, VirtFile
from test.mockgpu.nv.nvgpu import NVGPU
MAP_FIXED = 0x10
libc = ctypes.CDLL(ctypes.util.find_library("c"))
libc.mmap.argtypes = [ctypes.c_void_p, ctypes.c_size_t, ctypes.c_int, ctypes.c_int, ctypes.c_int, ctypes.c_long]
libc.mmap.restype = ctypes.c_void_p
libc.munmap.argtypes = [ctypes.c_void_p, ctypes.c_size_t]
libc.munmap.restype = ctypes.c_int
NVSubDevice = collections.namedtuple('NVSubDevice', ['device'])
NVUserMode = collections.namedtuple('NVUserMode', ['subdevice'])
NVVASpace = collections.namedtuple('NVVASpace', ['device'])
NVAllocation = collections.namedtuple('NVAllocation', ['device', 'size', 'is_signal'])
NVChannelGroup = collections.namedtuple('NVChannelGroup', ['device'])
NVContextShare = collections.namedtuple('NVContextShare', ['channel_group'])
NVGPFIFO = collections.namedtuple('NVGPFIFO', ['device', 'token'])
NVProfiler = collections.namedtuple('NVProfiler', ['subdevice'])
class NVCtlFileDesc(VirtFileDesc):
def __init__(self, fd, driver):
super().__init__(fd)
self.driver = driver
def ioctl(self, fd, request, argp): return self.driver.ctl_ioctl(request, argp)
def mmap(self, start, sz, prot, flags, fd, offset): return libc.mmap(start, sz, prot, flags|mmap.MAP_ANONYMOUS, -1, 0)
class NVUVMFileDesc(VirtFileDesc):
def __init__(self, fd, driver):
super().__init__(fd)
self.driver = driver
def ioctl(self, fd, request, argp): return self.driver.uvm_ioctl(request, argp)
def mmap(self, start, sz, prot, flags, fd, offset): return libc.mmap(start, sz, prot, flags|mmap.MAP_ANONYMOUS, -1, 0)
class NVDevFileDesc(VirtFileDesc):
def __init__(self, fd, driver, gpu):
super().__init__(fd)
self.driver, self.gpu = driver, gpu
self._mapping_userland = False
self._mapping_signal = False
def ioctl(self, fd, request, argp): return self.driver.dev_ioctl(self.gpu, request, argp)
def mmap(self, start, sz, prot, flags, fd, offset):
start = libc.mmap(start, sz, prot, flags|mmap.MAP_ANONYMOUS, -1, 0)
if self._mapping_userland or self._mapping_signal:
self.driver.track_address(start, start+sz, lambda mv,off: None, lambda mv, off: self.driver._gpu_mmio_write(mv, off, self.gpu))
self._mapping_signal = False
return start
class NVDriver(VirtDriver):
def __init__(self, gpus=6):
super().__init__()
self.tracked_files += [VirtFile('/dev/nvidiactl', functools.partial(NVCtlFileDesc, driver=self)),
VirtFile('/dev/nvidia-uvm', functools.partial(NVUVMFileDesc, driver=self))]
self.root_handle = None
self.gpus = {}
self.next_fd = (1 << 29)
self.next_handle = 1
self.object_by_handle = {}
self.opened_fds = {}
self.next_doorbell = collections.defaultdict(int)
self._executing = False # re-entrancy guard for _gpu_mmio_write
for i in range(gpus): self._prepare_gpu(i)
def _alloc_fd(self):
my_fd = self.next_fd
self.next_fd = self.next_fd + 1
return my_fd
def _alloc_handle(self):
handle = self.next_handle
self.next_handle += 1
return handle
def _prepare_gpu(self, gpu_id):
self.gpus[gpu_id] = NVGPU(gpu_id)
self.tracked_files += [VirtFile(f'/dev/nvidia{gpu_id}', functools.partial(NVDevFileDesc, driver=self, gpu=self.gpus[gpu_id]))]
def open(self, name, flags, mode, virtfile):
cl = virtfile.fdcls(self._alloc_fd())
self.opened_fds[cl.fd] = cl
return cl
def rm_alloc(self, argp):
struct = nv_gpu.NVOS21_PARAMETERS.from_address(argp)
params_ptr = cast(int, struct.pAllocParms)
if struct.hClass == nv_gpu.NV01_ROOT_CLIENT: self.root_handle = struct.hObjectNew = self._alloc_handle()
elif struct.hClass == nv_gpu.NV01_DEVICE_0:
params:Any = nv_gpu.NV0080_ALLOC_PARAMETERS.from_address(params_ptr)
assert params.hClientShare == self.root_handle
struct.hObjectNew = self._alloc_handle()
self.object_by_handle[struct.hObjectNew] = self.gpus[params.deviceId]
elif struct.hClass == nv_gpu.NV20_SUBDEVICE_0:
assert struct.hObjectParent in self.object_by_handle and isinstance(self.object_by_handle[struct.hObjectParent], NVGPU)
struct.hObjectNew = self._alloc_handle()
self.object_by_handle[struct.hObjectNew] = NVSubDevice(self.object_by_handle[struct.hObjectParent])
elif struct.hClass == nv_gpu.NV01_MEMORY_VIRTUAL:
assert struct.hObjectParent in self.object_by_handle and isinstance(self.object_by_handle[struct.hObjectParent], NVGPU)
struct.hObjectNew = self._alloc_handle()
elif struct.hClass == nv_gpu.TURING_USERMODE_A:
assert struct.hObjectParent in self.object_by_handle and isinstance(self.object_by_handle[struct.hObjectParent], NVSubDevice)
struct.hObjectNew = self._alloc_handle()
self.object_by_handle[struct.hObjectNew] = NVUserMode(self.object_by_handle[struct.hObjectParent])
elif struct.hClass == nv_gpu.FERMI_VASPACE_A:
assert struct.hObjectParent in self.object_by_handle and isinstance(self.object_by_handle[struct.hObjectParent], NVGPU)
struct.hObjectNew = self._alloc_handle()
self.object_by_handle[struct.hObjectNew] = NVVASpace(self.object_by_handle[struct.hObjectParent])
elif struct.hClass == nv_gpu.NV1_MEMORY_SYSTEM or struct.hClass == nv_gpu.NV1_MEMORY_USER:
assert struct.hObjectParent in self.object_by_handle and isinstance(self.object_by_handle[struct.hObjectParent], NVGPU)
params = nv_gpu.NV_MEMORY_ALLOCATION_PARAMS.from_address(params_ptr)
struct.hObjectNew = self._alloc_handle()
is_signal = struct.hClass == nv_gpu.NV1_MEMORY_SYSTEM # signal memory uses NV1_MEMORY_SYSTEM (uncached)
self.object_by_handle[struct.hObjectNew] = NVAllocation(self.object_by_handle[struct.hObjectParent], params.size, is_signal)
elif struct.hClass == nv_gpu.KEPLER_CHANNEL_GROUP_A:
assert struct.hObjectParent in self.object_by_handle and isinstance(self.object_by_handle[struct.hObjectParent], NVGPU)
struct.hObjectNew = self._alloc_handle()
self.object_by_handle[struct.hObjectNew] = NVChannelGroup(self.object_by_handle[struct.hObjectParent])
elif struct.hClass == nv_gpu.FERMI_CONTEXT_SHARE_A:
assert struct.hObjectParent in self.object_by_handle and isinstance(self.object_by_handle[struct.hObjectParent], NVChannelGroup)
struct.hObjectNew = self._alloc_handle()
self.object_by_handle[struct.hObjectNew] = NVContextShare(self.object_by_handle[struct.hObjectParent])
elif struct.hClass == nv_gpu.AMPERE_CHANNEL_GPFIFO_A:
parent = self.object_by_handle.get(struct.hObjectParent)
assert parent is not None and isinstance(parent, (NVChannelGroup, NVGPU))
struct.hObjectNew = self._alloc_handle()
params = nv_gpu.NV_CHANNELGPFIFO_ALLOCATION_PARAMETERS.from_address(params_ptr)
gpu = parent.device if isinstance(parent, NVChannelGroup) else parent
gpfifo_token = gpu.add_gpfifo(params.gpFifoOffset, params.gpFifoEntries)
self.object_by_handle[struct.hObjectNew] = NVGPFIFO(gpu, gpfifo_token)
elif struct.hClass in (nv_gpu.AMPERE_DMA_COPY_B, nv_gpu.ADA_COMPUTE_A, nv_gpu.NVC9B0_VIDEO_DECODER, nv_gpu.NVCFB0_VIDEO_DECODER):
assert struct.hObjectParent in self.object_by_handle and isinstance(self.object_by_handle[struct.hObjectParent], NVGPFIFO)
struct.hObjectNew = self._alloc_handle()
gpfifo = self.object_by_handle[struct.hObjectParent]
gpfifo.device.queues[gpfifo.token].bound_engines.add(struct.hClass)
elif struct.hClass == nv_gpu.GT200_DEBUGGER:
struct.hObjectNew = self._alloc_handle()
elif struct.hClass == nv_gpu.MAXWELL_PROFILER_DEVICE:
assert struct.hObjectParent in self.object_by_handle and isinstance(self.object_by_handle[struct.hObjectParent], NVSubDevice)
struct.hObjectNew = self._alloc_handle()
self.object_by_handle[struct.hObjectNew] = NVProfiler(self.object_by_handle[struct.hObjectParent])
else: raise RuntimeError(f"Unknown {struct.hClass} to rm_alloc")
return 0
def rm_control(self, argp):
struct = nv_gpu.NVOS54_PARAMETERS.from_address(argp)
params_ptr = cast(int, struct.params)
if struct.cmd == nv_gpu.NV0000_CTRL_CMD_GPU_GET_ID_INFO_V2:
params:Any = nv_gpu.NV0000_CTRL_GPU_GET_ID_INFO_V2_PARAMS.from_address(params_ptr)
params.deviceInstance = params.gpuId # emulate them to be the same
elif struct.cmd == nv_gpu.NV0080_CTRL_CMD_GPU_GET_CLASSLIST_V2 or struct.cmd == nv_gpu.NV0080_CTRL_CMD_GPU_GET_CLASSLIST:
if struct.cmd == nv_gpu.NV0080_CTRL_CMD_GPU_GET_CLASSLIST:
params = nv_gpu.NV0080_CTRL_GPU_GET_CLASSLIST_PARAMS.from_address(params_ptr)
else:
params = nv_gpu.NV0080_CTRL_GPU_GET_CLASSLIST_V2_PARAMS.from_address(params_ptr)
classes = [50021, 51607, 51648, 50543, 51125, 51125, 51125, 51125, 50529, 36967, 36909, 37105, 33868, 36978, 37095, 37094, 36980, 37014, 49270,
41068, 41088, 41280, 50025, 96, 112, 115, 125, 20608, 20640, 20539, 20540, 41089, 41092, 50034, 50810, 50811, 50814, 51056, 51057,
51059, 51069, 51071, 51632, 51639, 51639, 51706, 52019, 222, 50287, 50273, 50031, 50017] # from ada102
params.numClasses = len(classes)
if struct.cmd == nv_gpu.NV0080_CTRL_CMD_GPU_GET_CLASSLIST:
if params.classList and params.numClasses > 0:
clslist = to_mv(params.classList, params.numClasses * 4).cast('I')
for i,c in enumerate(classes): clslist[i] = c
else: params.numClasses = len(classes)
else:
for i,c in enumerate(classes): params.classList[i] = c
elif struct.cmd == nv_gpu.NV2080_CTRL_CMD_GR_GET_INFO:
info = {nv_gpu.NV2080_CTRL_GR_INFO_INDEX_SM_VERSION: nv_gpu.NV2080_CTRL_GR_INFO_SM_VERSION_3_5,
nv_gpu.NV2080_CTRL_GR_INFO_INDEX_LITTER_NUM_GPCS: 1,
nv_gpu.NV2080_CTRL_GR_INFO_INDEX_LITTER_NUM_TPC_PER_GPC: 1,
nv_gpu.NV2080_CTRL_GR_INFO_INDEX_LITTER_NUM_SM_PER_TPC: 1,
nv_gpu.NV2080_CTRL_GR_INFO_INDEX_MAX_WARPS_PER_SM: 1,
}
params = nv_gpu.NV2080_CTRL_GR_GET_INFO_PARAMS.from_address(params_ptr)
reqlist = (nv_gpu.NV2080_CTRL_GR_INFO * params.grInfoListSize).from_address(params.grInfoList)
for i in range(params.grInfoListSize): reqlist[i].data = info[reqlist[i].index]
elif struct.cmd == nv_gpu.NV2080_CTRL_CMD_GPU_GET_GID_INFO:
assert struct.hObject in self.object_by_handle and isinstance(self.object_by_handle[struct.hObject], NVSubDevice)
gpu = self.object_by_handle[struct.hObject].device
params = nv_gpu.NV2080_CTRL_GPU_GET_GID_INFO_PARAMS.from_address(params_ptr)
if params.flags != nv_gpu.NV2080_GPU_CMD_GPU_GET_GID_FLAGS_FORMAT_BINARY: raise RuntimeError("Unknown format")
bts = gpu.gpu_uuid(sz=params.length)
for i in range(params.length): params.data[i] = bts[i]
elif struct.cmd == nv_gpu.NVC36F_CTRL_CMD_GPFIFO_GET_WORK_SUBMIT_TOKEN:
assert struct.hObject in self.object_by_handle and isinstance(self.object_by_handle[struct.hObject], NVGPFIFO)
params = nv_gpu.NVC36F_CTRL_CMD_GPFIFO_GET_WORK_SUBMIT_TOKEN_PARAMS.from_address(params_ptr)
gpu_fifo = self.object_by_handle[struct.hObject]
params.workSubmitToken = gpu_fifo.token
elif struct.cmd in (nv_gpu.NVA06C_CTRL_CMD_GPFIFO_SCHEDULE, nv_gpu.NVA06F_CTRL_CMD_BIND, nv_gpu.NVA06F_CTRL_CMD_GPFIFO_SCHEDULE): pass
elif struct.cmd == nv_gpu.NV2080_CTRL_CMD_PERF_BOOST: pass
elif struct.cmd == nv_gpu.NV2080_CTRL_CMD_FB_FLUSH_GPU_CACHE: pass
elif struct.cmd == nv_gpu.NV83DE_CTRL_CMD_DEBUG_READ_ALL_SM_ERROR_STATES:
params = nv_gpu.NV83DE_CTRL_DEBUG_READ_ALL_SM_ERROR_STATES_PARAMS.from_address(params_ptr)
params.mmuFault.valid = bool("MOCKGPU_EMU_FAULTADDR" in os.environ)
elif struct.cmd == nv_gpu.NV83DE_CTRL_CMD_DEBUG_READ_MMU_FAULT_INFO:
params = nv_gpu.struct_NV83DE_CTRL_DEBUG_READ_MMU_FAULT_INFO_PARAMS.from_address(params_ptr)
params.count = 1
params.mmuFaultInfoList[0].faultAddress = int(os.environ['MOCKGPU_EMU_FAULTADDR'], base=16)
params.mmuFaultInfoList[0].faultType = 1
params.mmuFaultInfoList[0].accessType = 1
elif struct.cmd == nv_gpu.NV0000_CTRL_CMD_SYSTEM_GET_BUILD_VERSION_V2:
params = nv_gpu.NV0000_CTRL_SYSTEM_GET_BUILD_VERSION_V2_PARAMS.from_address(params_ptr)
params.driverVersionBuffer = b"570.00.00\0"
elif struct.cmd == nv_gpu.NV2080_CTRL_CMD_GR_GET_TPC_MASK:
params = nv_gpu.NV2080_CTRL_GR_GET_TPC_MASK_PARAMS.from_address(params_ptr)
params.tpcMask = 0x1 # one TPC
# Profiler commands - just pass through for mockgpu
elif struct.cmd in (nv_gpu.NVB0CC_CTRL_CMD_POWER_REQUEST_FEATURES, nv_gpu.NVB0CC_CTRL_CMD_ALLOC_PMA_STREAM,
nv_gpu.NVB0CC_CTRL_CMD_RESERVE_HWPM_LEGACY, nv_gpu.NVB0CC_CTRL_CMD_RESERVE_PM_AREA_PC_SAMPLER,
nv_gpu.NVB0CC_CTRL_CMD_BIND_PM_RESOURCES, nv_gpu.NVB0CC_CTRL_CMD_SET_HS_CREDITS,
nv_gpu.NVB0CC_CTRL_CMD_EXEC_REG_OPS, nv_gpu.NVB0CC_CTRL_CMD_PMA_STREAM_UPDATE_GET_PUT): pass
else: raise RuntimeError(f"Unknown {struct.cmd} to rm_control")
return 0
def ctl_ioctl(self, req, argp):
nr = req & 0xff
if nr == nv_gpu.NV_ESC_RM_ALLOC: return self.rm_alloc(argp)
elif nr == nv_gpu.NV_ESC_RM_CONTROL: return self.rm_control(argp)
elif nr == nv_gpu.NV_ESC_RM_MAP_MEMORY:
st:Any = nv_gpu.nv_ioctl_nvos33_parameters_with_fd.from_address(argp)
obj = self.object_by_handle.get(st.params.hMemory)
file = self.opened_fds.get(st.fd)
if isinstance(obj, NVUserMode) and isinstance(file, NVDevFileDesc):
file._mapping_userland = True
elif isinstance(obj, NVAllocation) and obj.is_signal and isinstance(file, NVDevFileDesc):
file._mapping_signal = True
elif nr == nv_gpu.NV_ESC_RM_FREE:
st = nv_gpu.NVOS00_PARAMETERS.from_address(argp)
self.object_by_handle.pop(st.hObjectOld)
elif nr == nv_gpu.NV_ESC_RM_MAP_MEMORY_DMA:
pass # mappings are same as uvm
elif nr == nv_gpu.NV_ESC_CARD_INFO:
for i,gpu in enumerate(self.gpus.values()):
st = nv_gpu.nv_ioctl_card_info_t.from_address(argp + i * ctypes.sizeof(nv_gpu.nv_ioctl_card_info_t))
st.gpu_id = gpu.gpuid
st.pci_info.device_id = 0x2684
st.valid = True
else: raise RuntimeError(f"Unknown {nr} to nvidiactl")
return 0
def uvm_ioctl(self, nr, argp):
if nr == nv_gpu.UVM_INITIALIZE: pass
elif nr == nv_gpu.UVM_MM_INITIALIZE: pass
elif nr == nv_gpu.UVM_REGISTER_GPU:
st:Any = nv_gpu.UVM_REGISTER_GPU_PARAMS.from_address(argp)
assert any(all(st.gpu_uuid.uuid[i] == gpu.gpu_uuid()[i] for i in range(16)) for gpu in self.gpus.values())
elif nr == nv_gpu.UVM_REGISTER_GPU_VASPACE: pass
elif nr == nv_gpu.UVM_ENABLE_PEER_ACCESS: pass # uvm and shared spaced are setup already, no emulation for now
elif nr == nv_gpu.UVM_CREATE_EXTERNAL_RANGE:
st = nv_gpu.UVM_CREATE_EXTERNAL_RANGE_PARAMS.from_address(argp)
libc.mmap(st.base, st.length, mmap.PROT_READ|mmap.PROT_WRITE, MAP_FIXED|mmap.MAP_SHARED|mmap.MAP_ANONYMOUS, -1, 0)
elif nr == nv_gpu.UVM_MAP_EXTERNAL_ALLOCATION:
st = nv_gpu.UVM_MAP_EXTERNAL_ALLOCATION_PARAMS.from_address(argp)
for gpu_attr_id in range(st.gpuAttributesCount):
gpu = None
for _gpu in self.gpus.values():
if all(st.perGpuAttributes[gpu_attr_id].gpuUuid.uuid[i] == _gpu.gpu_uuid()[i] for i in range(16)):
gpu = _gpu
break
if gpu is None: return -1
gpu.map_range(st.base, st.length)
elif nr == nv_gpu.UVM_REGISTER_CHANNEL: pass
elif nr == nv_gpu.UVM_FREE:
st = nv_gpu.UVM_FREE_PARAMS.from_address(argp)
libc.munmap(st.base, st.length)
else: raise RuntimeError(f"Unknown {nr} to nvidia-uvm")
return 0
def dev_ioctl(self, dev, req, argp):
nr = req & 0xff
# Handle NV_ESC_RM_ALLOC_MEMORY for host/signal memory
if nr == nv_gpu.NV_ESC_RM_ALLOC_MEMORY:
st:Any = nv_gpu.nv_ioctl_nvos02_parameters_with_fd.from_address(argp)
# Track host memory (signal memory) - progress queues when written to
if st.params.hClass == nv_gpu.NV01_MEMORY_SYSTEM_OS_DESCRIPTOR:
self.track_address(st.params.pMemory, st.params.pMemory + st.params.limit + 1,
lambda mv,off: None, lambda mv, off: self._gpu_mmio_write(mv, off, None))
return 0
def _gpu_mmio_write(self, mv, off, gpu):
if self._executing: return # prevent re-entrancy
self._executing = True
try:
any_progress = True
while any_progress:
any_progress = False
for gpu in self.gpus.values():
for q in gpu.queues:
if q.ctrl.GPGet != q.ctrl.GPPut:
any_progress |= q.execute()
finally:
self._executing = False

View File

@@ -0,0 +1,224 @@
import ctypes, time
from tinygrad.runtime.autogen import nv_570 as nv_gpu
from enum import Enum, auto
from test.mockgpu.gpu import VirtGPU
from test.mockgpu.helpers import _try_dlopen_gpuocelot
from tinygrad.helpers import to_mv
from tinygrad.runtime.support.c import init_c_struct_t
def make_qmd_struct_type():
fields = []
bits = [(name,dt) for name,dt in nv_gpu.__dict__.items() if name.startswith("NVC6C0_QMDV03_00") and isinstance(dt, tuple)]
bits += [(name+f"_{i}",dt(i)) for name,dt in nv_gpu.__dict__.items() for i in range(8) if name.startswith("NVC6C0_QMDV03_00") and callable(dt)]
bits = sorted(bits, key=lambda x: x[1][1])
for i,(name, data) in enumerate(bits):
fields.append((name.replace("NVC6C0_QMDV03_00_", "").lower(), ctypes.c_uint32, data[1]//8, data[0]-data[1]+1, data[1]%8))
return init_c_struct_t(0x40 * 4, tuple(fields))
qmd_struct_t = make_qmd_struct_type()
gpuocelot_lib = _try_dlopen_gpuocelot()
class SchedResult(Enum): CONT = auto(); YIELD = auto() # noqa: E702
class GPFIFO:
def __init__(self, token, base, entries_cnt):
self.token, self.base, self.entries_cnt = token, base, entries_cnt
self.gpfifo = to_mv(self.base, self.entries_cnt * 8).cast("Q")
self.ctrl = nv_gpu.AmpereAControlGPFifo.from_address(self.base + self.entries_cnt * 8)
self.state = {}
self.bound_engines: set[int] = set()
# Buf exec state
self.buf = None
self.buf_sz = 0
self.buf_ptr = 0
def _next_dword(self):
assert self.buf is not None
x = self.buf[self.buf_ptr]
self.buf_ptr += 1
return x
def _next_header(self):
header = self._next_dword()
typ = (header >> 28) & 0b111
size = (header >> 16) & 0xFFF
subc = (header >> 13) & 0x7
mthd = (header & 0x1FFF) << 2
return typ, size, subc, mthd
def _state(self, reg): return self.state[reg]
def _state64(self, reg): return (self.state[reg] << 32) + self.state[reg + 4]
def _state64_le(self, reg): return (self.state[reg + 4] << 32) + self.state[reg]
def _reset_buf_state(self): self.buf, self.buf_ptr = None, 0
def _set_buf_state(self, gpfifo_entry):
ptr = ((gpfifo_entry >> 2) & 0x3fffffffff) << 2
sz = ((gpfifo_entry >> 42) & 0x1fffff) << 2
self.buf = to_mv(ptr, sz).cast("I")
self.buf_sz = sz // 4
def execute(self) -> bool:
initial_off = self.buf_ptr
while self.ctrl.GPGet != self.ctrl.GPPut:
self._set_buf_state(self.gpfifo[self.ctrl.GPGet])
if not self.execute_buf():
# Buffer isn't executed fully, check if any progress and report.
# Do not move GPGet in this case, will continue from the same state next time.
return self.buf_ptr != initial_off
self.ctrl.GPGet = (self.ctrl.GPGet + 1) % self.entries_cnt
self._reset_buf_state()
return True
def execute_buf(self) -> bool:
while self.buf_ptr < self.buf_sz:
init_off = self.buf_ptr
_, size, _, mthd = self._next_header()
cmd_end_off = self.buf_ptr + size
while self.buf_ptr < cmd_end_off:
res = self.execute_cmd(mthd)
if res == SchedResult.YIELD:
self.buf_ptr = init_off # just revert to the header
return False
mthd += 4
return True
def execute_qmd(self, qmd_addr):
qmd = qmd_struct_t.from_address(qmd_addr)
prg_addr = qmd.program_address_lower + (qmd.program_address_upper << 32)
const0 = to_mv(qmd.constant_buffer_addr_lower_0 + (qmd.constant_buffer_addr_upper_0 << 32), 0x160).cast('I')
args_cnt, vals_cnt = const0[80], const0[81]
args_addr = qmd.constant_buffer_addr_lower_0 + (qmd.constant_buffer_addr_upper_0 << 32) + 0x160
args = to_mv(args_addr, args_cnt*8).cast('Q')
vals = to_mv(args_addr + args_cnt*8, vals_cnt*4).cast('I')
cargs = [ctypes.cast(args[i], ctypes.c_void_p) for i in range(args_cnt)] + [ctypes.cast(vals[i], ctypes.c_void_p) for i in range(vals_cnt)]
gx, gy, gz = qmd.cta_raster_width, qmd.cta_raster_height, qmd.cta_raster_depth
lx, ly, lz = qmd.cta_thread_dimension0, qmd.cta_thread_dimension1, qmd.cta_thread_dimension2
try:
gpuocelot_lib.ptx_run(ctypes.cast(prg_addr, ctypes.c_char_p), args_cnt+vals_cnt,
(ctypes.c_void_p*len(cargs))(*cargs), lx, ly, lz, gx, gy, gz, 0)
except Exception as e: print("failed to execute:", e)
if qmd.release0_enable:
rel0 = to_mv(qmd.release0_address_lower + (qmd.release0_address_upper << 32), 0x10).cast('Q')
rel0[0] = qmd.release0_payload_lower + (qmd.release0_payload_upper << 32)
rel0[1] = int(time.perf_counter() * 1e9)
if qmd.release1_enable:
rel1 = to_mv(qmd.release1_address_lower + (qmd.release1_address_upper << 32), 0x10).cast('Q')
rel1[0] = qmd.release1_payload_lower + (qmd.release1_payload_upper << 32)
rel1[1] = int(time.perf_counter() * 1e9)
if qmd.dependent_qmd0_enable:
if qmd.dependent_qmd0_action == 1: self.execute_qmd(qmd.dependent_qmd0_pointer << 8)
else: raise RuntimeError("unsupported dependent qmd action")
def execute_cmd(self, cmd) -> SchedResult:
if cmd == nv_gpu.NVC56F_SEM_EXECUTE: return self._exec_signal()
elif cmd == nv_gpu.NVC6C0_LAUNCH_DMA: return self._exec_nvc6c0_dma()
elif cmd == nv_gpu.NVC6B5_LAUNCH_DMA: # NOTE: NVC6B5_LAUNCH_DMA == NVC9B0_EXECUTE == 0x300
return self._exec_vid_decode() if self.bound_engines & {nv_gpu.NVC9B0_VIDEO_DECODER, nv_gpu.NVCFB0_VIDEO_DECODER} else self._exec_nvc6b5_dma()
elif cmd == nv_gpu.NVC6C0_SEND_SIGNALING_PCAS2_B: return self._exec_pcas2()
elif cmd == 0x0320: return self._exec_load_inline_qmd() # NVC6C0_LOAD_INLINE_QMD_DATA
elif cmd == nv_gpu.NVC9B0_SEMAPHORE_D: return self._exec_vid_semaphore()
else: self.state[cmd] = self._next_dword() # just state update
return SchedResult.CONT
def _exec_signal(self) -> SchedResult:
signal = self._state64_le(nv_gpu.NVC56F_SEM_ADDR_LO)
val = self._state64_le(nv_gpu.NVC56F_SEM_PAYLOAD_LO)
flags = self._next_dword()
typ = (flags >> 0) & 0b111
timestamp = (flags & (1 << 25)) == (1 << 25)
if typ == 1:
to_mv(signal, 8).cast('Q')[0] = val
if timestamp: to_mv(signal + 8, 8).cast('Q')[0] = int(time.perf_counter() * 1e9)
elif typ == 3:
mval = to_mv(signal, 8).cast('Q')[0]
return SchedResult.CONT if mval >= val else SchedResult.YIELD
elif typ == 4: # ACQ_AND: (mem & payload) != 0
mval = to_mv(signal, 4).cast('I')[0]
return SchedResult.CONT if (mval & (val & 0xffffffff)) != 0 else SchedResult.YIELD
elif typ == 5: # ACQ_NOR: ~(mem | payload) != 0
mval = to_mv(signal, 4).cast('I')[0]
return SchedResult.CONT if (~(mval | (val & 0xffffffff)) & 0xffffffff) != 0 else SchedResult.YIELD
else: raise RuntimeError(f"Unsupported type={typ} in exec wait/signal")
return SchedResult.CONT
def _exec_vid_decode(self) -> SchedResult:
self._next_dword() # consume execute flags
# validate that all required decode state was set up correctly
assert self._state(nv_gpu.NVC9B0_SET_APPLICATION_ID) == nv_gpu.NVC9B0_SET_APPLICATION_ID_ID_HEVC
pic_desc_addr = self._state(nv_gpu.NVC9B0_SET_DRV_PIC_SETUP_OFFSET) << 8
pic = nv_gpu.nvdec_hevc_pic_s.from_address(pic_desc_addr)
assert pic.stream_len > 0 and pic.pic_width_in_luma_samples > 0 and pic.pic_height_in_luma_samples > 0
assert self._state(nv_gpu.NVC9B0_SET_IN_BUF_BASE_OFFSET) != 0
assert self._state(nv_gpu.NVC9B0_SET_COLOC_DATA_OFFSET) != 0
assert self._state(nv_gpu.NVC9B0_SET_NVDEC_STATUS_OFFSET) != 0
assert self._state(nv_gpu.NVC9B0_HEVC_SET_FILTER_BUFFER_OFFSET) != 0
return SchedResult.CONT
def _exec_vid_semaphore(self) -> SchedResult:
signal = self._state64(nv_gpu.NVC9B0_SEMAPHORE_A)
val = self._state(nv_gpu.NVC9B0_SEMAPHORE_C)
self._next_dword() # flags
to_mv(signal, 8).cast('Q')[0] = val
to_mv(signal + 8, 8).cast('Q')[0] = int(time.perf_counter() * 1e9)
return SchedResult.CONT
def _exec_load_inline_qmd(self):
qmd_addr = self._state64(nv_gpu.NVC6C0_SET_INLINE_QMD_ADDRESS_A) << 8
assert qmd_addr != 0x0, f"invalid qmd address {qmd_addr}"
qmd_data = [self._next_dword() for _ in range(0x40)]
cdata = (ctypes.c_uint32 * len(qmd_data))(*qmd_data)
ctypes.memmove(qmd_addr, cdata, 0x40 * 4)
self.execute_qmd(qmd_addr)
def _exec_nvc6c0_dma(self):
addr = self._state64(nv_gpu.NVC6C0_OFFSET_OUT_UPPER)
sz = self._state(nv_gpu.NVC6C0_LINE_LENGTH_IN)
lanes = self._state(nv_gpu.NVC6C0_LINE_COUNT)
assert lanes == 1, f"unsupported lanes > 1 in _exec_nvc6c0_dma: {lanes}"
flags = self._next_dword()
assert flags == 0x41, f"unsupported flags in _exec_nvc6c0_dma: {flags}"
typ, dsize, _, mthd = self._next_header()
assert typ == 6 and mthd == nv_gpu.NVC6C0_LOAD_INLINE_DATA, f"Expected inline data not found after nvc6c0_dma, {typ=} {mthd=}"
copy_data = [self._next_dword() for _ in range(dsize)]
assert len(copy_data) * 4 == sz, f"different copy sizes in _exec_nvc6c0_dma: {len(copy_data) * 4} != {sz}"
cdata = (ctypes.c_uint32 * len(copy_data))(*copy_data)
ctypes.memmove(addr, cdata, sz)
def _exec_nvc6b5_dma(self):
flags = self._next_dword()
if (flags & 0b11) != 0:
src = self._state64(nv_gpu.NVC6B5_OFFSET_IN_UPPER)
dst = self._state64(nv_gpu.NVC6B5_OFFSET_OUT_UPPER)
sz = self._state(nv_gpu.NVC6B5_LINE_LENGTH_IN)
assert flags == 0x182, f"unsupported flags in _exec_nvc6b5_dma: {flags}"
ctypes.memmove(dst, src, sz)
elif ((flags >> 3) & 0b11) != 0:
src = to_mv(self._state64(nv_gpu.NVC6B5_SET_SEMAPHORE_A), 0x10).cast('Q')
val = self._state(nv_gpu.NVC6B5_SET_SEMAPHORE_PAYLOAD)
src[0] = val
src[1] = int(time.perf_counter() * 1e9)
else: raise RuntimeError("unknown nvc6b5_dma flags")
def _exec_pcas2(self):
qmd_addr = self._state(nv_gpu.NVC6C0_SEND_PCAS_A) << 8
typ = self._next_dword()
if typ == 2 or typ == 9: # schedule
self.execute_qmd(qmd_addr)
class NVGPU(VirtGPU):
def __init__(self, gpuid):
super().__init__(gpuid)
self.regs = {}
self.mapped_ranges = set()
self.queues = []
def map_range(self, vaddr, size): self.mapped_ranges.add((vaddr, size))
def unmap_range(self, vaddr, size): self.mapped_ranges.remove((vaddr, size))
def add_gpfifo(self, base, entries_count):
self.queues.append(GPFIFO(token:=len(self.queues), base, entries_count))
return token
def gpu_uuid(self, sz=16): return self.gpuid.to_bytes(sz, byteorder='big', signed=False)

View File

@@ -0,0 +1,216 @@
from __future__ import annotations
import ctypes, mmap, struct, sys
if sys.platform != "win32": from tinygrad.runtime.autogen import libc
class MockUSB:
def __init__(self, mem):
self.mem = mem
def read(self, address, size): return bytes(self.mem[address:address+size])
def write(self, address, data, ignore_cache=False): self.mem[address:address+len(data)] = data
def pcie_mem_req(self, address, value=None, size=1):
if value is None: return int.from_bytes(self.mem[address:address+size], "little")
else: self.mem[address:address+size] = value.to_bytes(size, "little")
def pcie_mem_write(self, address, values, size):
for i, value in enumerate(values): self.pcie_mem_req(address + i * size, value, size)
# *** ASM24 Controller Mock ***
_mock_usb_state: MockASM24State|None = None
class MockASM24State:
"""Mock ASM24 controller: XRAM memory map, DMA windows, TLP engine, PCI config space.
Memory map (64KB XRAM):
0xA000-0xAFFF: DMA window -> sys 0x820000
0xB000-0xB1FF: DMA window -> sys 0x800000
0xB200-0xB7FF: PCI MMIO (TLP engine)
0xF000-0xFFFF: DMA window -> sys 0x200000 (512KB)
"""
XRAM_SIZE = 0x10000
TLP_FMT_TYPE = 0xB210
TLP_BYTE_EN = 0xB217
TLP_ADDR_LO = 0xB218
TLP_ADDR_HI = 0xB21C
TLP_DATA = 0xB220
TLP_COMPL = 0xB22A
TLP_TRIGGER = 0xB254
TLP_LINK_STATUS = 0xB284
TLP_STATUS = 0xB296
def __init__(self, gpu, driver, vram_size:int, doorbell_size:int, mmio_size:int):
self.gpu, self.driver = gpu, driver
self._xram = bytearray(self.XRAM_SIZE)
self._doorbell_addr = libc.mmap(0, doorbell_size, mmap.PROT_READ | mmap.PROT_WRITE, mmap.MAP_SHARED, gpu.doorbell_fd, 0)
self._doorbell = (ctypes.c_ubyte * doorbell_size).from_address(self._doorbell_addr)
# DMA windows: ctrl_addr -> (host_addr, size)
self._dma_regions: dict[int, tuple[int, int]] = {}
self._add_dma_window(0xF000, 0x200000, 0x80000)
self._add_dma_window(0xA000, 0x820000, 0x1000)
self._add_dma_window(0xB000, 0x800000, 0x200)
# PCI config space: (bus,dev,fn) -> bytearray(4096)
self._pci_cfg: dict[tuple[int,int,int], bytearray] = {}
# GPU BAR definitions: reg_offset -> (size, type_bits, is_64bit)
self._gpu_bars: dict[int, tuple[int, int, bool]] = {
0x10: (vram_size, 0x0C, True), # BAR0: VRAM, 64-bit prefetchable
0x18: (doorbell_size, 0x00, False), # BAR2: doorbell, 32-bit
0x1C: (0, 0x00, False), # BAR3: unused
0x20: (0, 0x00, False), # BAR4: unused
0x24: (mmio_size, 0x00, False), # BAR5: MMIO, 32-bit
}
self._bar_addrs: dict[int, tuple[int, int]] = {} # reg_offset -> (addr, size)
# Initialize GPU config space (bus=4, dev=0, fn=0) with BAR type bits and REBAR capability
gpu_cfg = self._get_cfg(4, 0, 0)
for reg_off, (sz, type_bits, _) in self._gpu_bars.items():
if sz > 0: struct.pack_into('<I', gpu_cfg, reg_off, type_bits)
struct.pack_into('<I', gpu_cfg, 0x100, 0x15 | (1 << 16)) # REBAR cap header: id=0x15, version=1, next=0
struct.pack_into('<I', gpu_cfg, 0x104, sum(1 << (i + 4) for i in range(10))) # supported sizes up to 512MB
def _get_cfg(self, bus:int, dev:int, fn:int) -> bytearray:
if (key:=(bus, dev, fn)) not in self._pci_cfg: self._pci_cfg[key] = bytearray(4096)
return self._pci_cfg[key]
def _add_dma_window(self, ctrl_addr:int, sys_addr:int, size:int):
host_addr = libc.mmap(0, size, mmap.PROT_READ | mmap.PROT_WRITE, mmap.MAP_SHARED | mmap.MAP_ANONYMOUS, -1, 0)
self._dma_regions[ctrl_addr] = (host_addr, size)
for off in range(0, size, 0x1000): self.gpu._sysmem_map[sys_addr + off] = host_addr + off
# --- XRAM access ---
def _xram_read(self, addr:int, length:int) -> bytes:
for ctrl_addr, (host_addr, dma_size) in self._dma_regions.items():
if ctrl_addr <= addr < ctrl_addr + dma_size:
return bytes((ctypes.c_ubyte * length).from_address(host_addr + (addr - ctrl_addr)))
return bytes(self._xram[addr:addr+length])
def _xram_write_byte(self, addr:int, value:int):
for ctrl_addr, (host_addr, dma_size) in self._dma_regions.items():
if ctrl_addr <= addr < ctrl_addr + dma_size:
(ctypes.c_ubyte * 1).from_address(host_addr + (addr - ctrl_addr))[0] = value
return
if addr == self.TLP_STATUS:
self._xram[addr] &= ~value & 0xFF
return
self._xram[addr] = value
if addr == self.TLP_TRIGGER and value == 0x0F: self._process_tlp()
# --- TLP engine ---
def _process_tlp(self):
fmt_type, byte_en = self._xram[self.TLP_FMT_TYPE], self._xram[self.TLP_BYTE_EN]
addr_lo = int.from_bytes(self._xram[self.TLP_ADDR_LO:self.TLP_ADDR_LO+4], 'big')
addr_hi = int.from_bytes(self._xram[self.TLP_ADDR_HI:self.TLP_ADDR_HI+4], 'big')
address = addr_lo | (addr_hi << 32)
size, offset, tmp = 0, 0, byte_en
while tmp and not (tmp & 1):
offset += 1
tmp >>= 1
while tmp:
size += tmp & 1
tmp >>= 1
is_write, is_cfg = bool(fmt_type & 0x40), (fmt_type & 0xbe) == 0x04
if is_cfg:
bus, dev, fn, byte_addr = (address >> 24) & 0xFF, (address >> 19) & 0x1F, (address >> 16) & 0x7, address & 0xFFC
if is_write:
data = int.from_bytes(self._xram[self.TLP_DATA:self.TLP_DATA+4], 'big')
self._cfg_write(bus, dev, fn, byte_addr + offset, (data >> (8 * offset)) & ((1 << (8 * size)) - 1), size)
else:
self._xram[self.TLP_DATA:self.TLP_DATA+4] = int.from_bytes(self._get_cfg(bus, dev, fn)[byte_addr:byte_addr+4], 'little').to_bytes(4, 'big')
self._xram[self.TLP_COMPL:self.TLP_COMPL+2] = (4).to_bytes(2, 'big')
self._xram[self.TLP_LINK_STATUS] = 0x01 if not is_write else 0x00
self._xram[self.TLP_STATUS] = 0x02
return
if is_write:
data = int.from_bytes(self._xram[self.TLP_DATA:self.TLP_DATA+4], 'big')
self._pcie_dispatch(address + offset, (data >> (8 * offset)) & ((1 << (8 * size)) - 1), size)
else:
result = self._pcie_dispatch(address + offset, None, size)
if result is not None:
self._xram[self.TLP_DATA:self.TLP_DATA+4] = ((result << (8 * offset)) & 0xFFFFFFFF).to_bytes(4, 'big')
self._xram[self.TLP_COMPL:self.TLP_COMPL+2] = (size & 0xFFF).to_bytes(2, 'big')
self._xram[self.TLP_LINK_STATUS] = 0x01 if not is_write else 0x00
self._xram[self.TLP_STATUS] = 0x02
def _cfg_write(self, bus:int, dev:int, fn:int, byte_addr:int, val:int, size:int):
cfg = self._get_cfg(bus, dev, fn)
# Handle BAR register writes for GPU device (bus=4, dev=0, fn=0)
if (bus, dev, fn) == (4, 0, 0) and 0x10 <= byte_addr < 0x28 and size == 4:
reg_off = byte_addr & ~0x3
if (bar_def:=self._gpu_bars.get(reg_off)) is not None:
bar_size, type_bits, is_64 = bar_def
if bar_size == 0: return # unused BAR
if val == 0xFFFFFFFF: # size probe
struct.pack_into('<I', cfg, reg_off, (~(bar_size - 1)) & 0xFFFFFFF0 | type_bits)
else:
struct.pack_into('<I', cfg, reg_off, val)
hi = struct.unpack_from('<I', cfg, reg_off + 4)[0] if is_64 else 0
self._bar_addrs[reg_off] = ((hi << 32) | (val & ~0xF), bar_size)
return
# Check if upper 32 bits of a 64-bit BAR
for breg, (bsz, _, b64) in self._gpu_bars.items():
if b64 and reg_off == breg + 4:
struct.pack_into('<I', cfg, reg_off, 0xFFFFFFFF if val == 0xFFFFFFFF else val)
if val != 0xFFFFFFFF:
self._bar_addrs[breg] = ((val << 32) | (struct.unpack_from('<I', cfg, breg)[0] & ~0xF), bsz)
return
# Generic config write
for i in range(size): cfg[byte_addr + i] = (val >> (8 * i)) & 0xFF
def _pcie_dispatch(self, address:int, value:int|None, size:int) -> int|None:
for reg_off, (bar_addr, bar_size) in self._bar_addrs.items():
if bar_addr <= address < bar_addr + bar_size:
offset = address - bar_addr
if reg_off == 0x10: # BAR0 - VRAM
if value is None: return int.from_bytes(bytes(self.gpu.vram[offset:offset+size]), "little")
self.gpu.vram[offset:offset+size] = list(value.to_bytes(size, "little"))
return None
if reg_off == 0x18: # BAR2 - Doorbell
if value is None: return int.from_bytes(bytes(self._doorbell[offset:offset+size]), "little")
for i, b in enumerate(value.to_bytes(size, "little")): self._doorbell[offset + i] = b
self.driver._emulate_execute()
return None
if reg_off == 0x24: # BAR5 - MMIO
if value is None: return self.gpu.mmio[offset // 4]
self.gpu.mmio[offset // 4] = value
return None
raise ValueError(f"PCIe address {address:#x} not mapped to any BAR")
# --- CDB processing (called by MockUSB3.send_batch) ---
def process_cdb(self, cdb:bytes, rlen:int, send_data:bytes|None) -> bytes|None:
op = cdb[0]
if op == 0xE5: # write byte
self._xram_write_byte(((cdb[2] << 16) | (cdb[3] << 8) | cdb[4]) & 0xFFFF, cdb[1])
return None
if op == 0xE4: # read
return self._xram_read(((cdb[2] << 16) | (cdb[3] << 8) | cdb[4]) & 0xFFFF, cdb[1])
if op == 0x8A and send_data is not None and 0xF000 in self._dma_regions: # SCSI write
host_addr, dma_size = self._dma_regions[0xF000]
ctypes.memmove(host_addr, send_data, min(len(send_data), dma_size))
return None
class MockUSB3:
@classmethod
def list_devices(cls, vendor, dev): return [(0, "usb:mock")]
def __init__(self, *args, **kwargs):
self.product, self.is_custom = "", False
def send_batch(self, cdbs:list[bytes], idata:list[int]|None=None, odata:list[bytes|None]|None=None) -> list[bytes|None]:
assert _mock_usb_state is not None
idata, odata = idata or [0] * len(cdbs), odata or [None] * len(cdbs)
results: list[bytes|None] = []
for cdb, rlen, sdata in zip(cdbs, idata, odata):
result = _mock_usb_state.process_cdb(cdb, rlen, sdata)
results.append(result if rlen > 0 else None)
return results