Files
tinygrad/tinygrad/runtime/ops_null.py
2026-04-24 23:30:16 -04:00

43 lines
2.3 KiB
Python

import inspect, functools
from tinygrad.device import Compiled, Allocator
from tinygrad.engine.jit import MultiGraphRunner
from tinygrad.renderer import Renderer, cstyle, nir, ptx, llvmir, wgsl
from tinygrad.renderer.cstyle import CStyleLanguage
from tinygrad.uop.ops import UOp, Ops
from tinygrad.helpers import cpu_profile, getenv, dedup, NULL_ALLOW_COPYOUT
class NullRenderer(CStyleLanguage):
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})"}
def asm(self, prg: UOp, lin: UOp) -> bytes:
assert self.target.arch.startswith("gfx"), "only amd supports assembly"
from tinygrad.renderer.amd.elf import assemble_linear
return assemble_linear(prg, lin, self.target.arch)
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, **kw):
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}", f"{self.dev.device}:COPY"): pass
def _offset(self, buf, offset:int, size:int): pass
class NullGraph(MultiGraphRunner):
def __call__(self, input_buffers, var_vals, wait=False, input_uops=None) -> float|None: return 1e-1
class NullDevice(Compiled):
def __init__(self, device:str):
assert (emu:=getenv("EMULATE", "")) == "", \
"EMULATE is deprecated, use DEV=NULL:HIP:"+{"AMD":"gfx1100", "AMD_RDNA4":"gfx1201", "AMD_CDNA4":"gfx950"}.get(emu, "<arch>")
renderers = [NullRenderer] + [r for m in [cstyle, nir, ptx, llvmir, wgsl] for r in m.__dict__.values()
if inspect.isclass(r) and issubclass(r, Renderer)]
super().__init__(device, NullAllocator(self), dedup(renderers), functools.partial(NullProgram, device), NullGraph)