mirror of
https://github.com/sunnypilot/sunnypilot.git
synced 2026-04-07 20:53:57 +08:00
version: sunnypilot v2026.001.000 (dev)
date: 2026-04-06T01:24:35
master commit: 8fec761f89
45 lines
2.3 KiB
Python
45 lines
2.3 KiB
Python
import functools
|
|
from tinygrad.device import Compiled, Allocator, CompilerSet
|
|
from tinygrad.engine.jit import MultiGraphRunner
|
|
from tinygrad.renderer.cstyle import Renderer, CStyleLanguage, AMDHIPRenderer
|
|
from tinygrad.uop.ops import Ops
|
|
from tinygrad.helpers import cpu_profile, EMULATE, NULL_IR3, NULL_NAK, NULL_ALLOW_COPYOUT
|
|
from tinygrad.renderer.nir import IR3Renderer, NAKRenderer
|
|
|
|
class NullRenderer(CStyleLanguage):
|
|
device = "NULL"
|
|
has_local = False
|
|
float4 = "float4"
|
|
barrier = "// BARRIER"
|
|
code_for_op = {**CStyleLanguage.code_for_op, Ops.THREEFRY: lambda a,b,dtype: f"threefry({a},{b})", Ops.MAX: lambda a,b,dtype: f"max({a},{b})"}
|
|
|
|
class NullProgram:
|
|
def __init__(self, device:str, name:str, lib:bytes, *args, **kwargs): self.device, self.name = device, name
|
|
def __call__(self, *bufs, global_size:tuple[int,int,int]=(1,1,1), local_size:tuple[int,int,int]=(1,1,1), vals:tuple[int, ...]=(), wait=False):
|
|
with cpu_profile(self.name, self.device): return 1e-3
|
|
|
|
class NullAllocator(Allocator['NullDevice']):
|
|
def _alloc(self, size, options): pass
|
|
def _copyin(self, dest, src:memoryview): pass
|
|
def _copyout(self, dest:memoryview, src):
|
|
if not NULL_ALLOW_COPYOUT: raise RuntimeError("no copyout on NULL")
|
|
def _transfer(self, dest, src, sz:int, src_dev, dest_dev):
|
|
with cpu_profile(f"{src_dev.device} -> {dest_dev.device}", self.dev.device): pass
|
|
def _offset(self, buf, offset:int, size:int): pass
|
|
|
|
class NullGraph(MultiGraphRunner):
|
|
def __call__(self, input_buffers, var_vals, wait=False) -> float|None: return 1e-1
|
|
|
|
class NullDevice(Compiled):
|
|
def __init__(self, device:str):
|
|
renderer:functools.partial|type[Renderer]
|
|
match str(EMULATE.value):
|
|
case "AMD": renderer = functools.partial(AMDHIPRenderer, "gfx1100")
|
|
case "AMD_RDNA4": renderer = functools.partial(AMDHIPRenderer, "gfx1201")
|
|
case "AMD_CDNA4": renderer = functools.partial(AMDHIPRenderer, "gfx950")
|
|
case "": renderer = NullRenderer
|
|
case _: raise RuntimeError(f"can't EMULATE device: {EMULATE.value}")
|
|
compilers = CompilerSet([(renderer, None), (functools.partial(IR3Renderer, 0x6030001), NULL_IR3), # adreno 630
|
|
(functools.partial(NAKRenderer, "sm_120", 48), NULL_NAK)]) # 5090
|
|
super().__init__(device, NullAllocator(self), compilers, functools.partial(NullProgram, device), NullGraph)
|