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github-actions[bot] f398269b1a sunnypilot v2026.04.06-4377
version: sunnypilot v2026.001.000 (dev)
date: 2026-04-06T01:24:35
master commit: 8fec761f89
2026-04-06 01:24:35 +00:00

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)