mirror of
https://github.com/tinygrad/tinygrad.git
synced 2026-01-26 15:28:10 -05:00
174 lines
9.7 KiB
Python
174 lines
9.7 KiB
Python
from __future__ import annotations
|
|
import subprocess, hashlib, tempfile, ctypes, ctypes.util, functools, re
|
|
from pathlib import Path
|
|
from typing import Tuple, Optional, List
|
|
import tinygrad.runtime.autogen.cuda as cuda
|
|
import tinygrad.runtime.autogen.nvrtc as nvrtc
|
|
from tinygrad.helpers import DEBUG, getenv, from_mv, to_char_p_p, init_c_var, init_c_struct_t, colored
|
|
from tinygrad.device import Compiled, Compiler, CompileError, BufferOptions, LRUAllocator
|
|
from tinygrad.renderer.cstyle import CUDARenderer
|
|
from tinygrad.renderer.assembly import PTXRenderer
|
|
if getenv("IOCTL"): import extra.nv_gpu_driver.nv_ioctl # noqa: F401 # pylint: disable=unused-import
|
|
|
|
def pretty_ptx(s):
|
|
# all expressions match `<valid_before><expr><valid_after>` and replace it with `<valid_before>color(<expr>)<valid_after>`
|
|
s = re.sub(r'([!@<\[\s,\+\-;\n])((?:[_%$][\w%\$_]+(?:\.[xyz])?\:?)|(?:buf\d+))([<>\]\s,\+\-;\n\)])', lambda m:m[1]+colored(m[2], "blue")+m[3], s, flags=re.M) # identifiers # noqa: E501
|
|
s = re.sub(r'(.)((?:b|s|u|f)(?:8|16|32|64)|pred)([\.\s])', lambda m:m[1]+colored(m[2], "green")+m[3], s, flags=re.M) # types
|
|
s = re.sub(r'^(\s*)([\w]+)(.*?;$)', lambda m:m[1]+colored(m[2], "yellow")+m[3], s, flags=re.M) # instructions
|
|
s = re.sub(r'([<>\[\]\s,\+\-;])((?:0[fF][0-9a-fA-F]{8})|(?:[0-9]+)|(?:0[xX][0-9a-fA-F]+))([<>\[\]\s,\+\-;])', lambda m:m[1]+colored(m[2], "yellow")+m[3], s, flags=re.M) # numbers # noqa: E501
|
|
s = re.sub(r'(\.)(param|reg|global)', lambda m:m[1]+colored(m[2], "magenta"), s, flags=re.M) # space
|
|
s = re.sub(r'(\.)(version|target|address_size|visible|entry)', lambda m:m[1]+colored(m[2], "magenta"), s, flags=re.M) # derivatives
|
|
return s
|
|
|
|
PTX = getenv("PTX")
|
|
|
|
def check(status):
|
|
if status != 0: raise RuntimeError(f"CUDA Error {status}, {ctypes.string_at(init_c_var(ctypes.POINTER(ctypes.c_char)(), lambda x: cuda.cuGetErrorString(status, ctypes.byref(x)))).decode()}") # noqa: E501
|
|
|
|
def encode_args(args, vals) -> Tuple[ctypes.Structure, ctypes.Array]:
|
|
c_args = init_c_struct_t(tuple([(f'f{i}', cuda.CUdeviceptr_v2) for i in range(len(args))] +
|
|
[(f'v{i}', ctypes.c_int) for i in range(len(vals))]))(*args, *vals)
|
|
vargs = (ctypes.c_void_p * 5)(ctypes.c_void_p(1), ctypes.cast(ctypes.byref(c_args), ctypes.c_void_p), ctypes.c_void_p(2),
|
|
ctypes.cast(ctypes.pointer(ctypes.c_size_t(ctypes.sizeof(c_args))), ctypes.c_void_p), ctypes.c_void_p(0))
|
|
return c_args, vargs
|
|
|
|
def cu_time_execution(cb, enable=False) -> Optional[float]:
|
|
if not enable: return cb()
|
|
evs = [init_c_var(cuda.CUevent(), lambda x: cuda.cuEventCreate(ctypes.byref(x), 0)) for _ in range(2)]
|
|
cuda.cuEventRecord(evs[0], None)
|
|
cb()
|
|
cuda.cuEventRecord(evs[1], None)
|
|
check(cuda.cuEventSynchronize(evs[1]))
|
|
cuda.cuEventElapsedTime(ctypes.byref(ret := ctypes.c_float()), evs[0], evs[1])
|
|
for ev in evs: cuda.cuEventDestroy_v2(ev)
|
|
return ret.value * 1e-3
|
|
|
|
def _get_bytes(arg, get_str, get_sz, check) -> bytes:
|
|
sz = init_c_var(ctypes.c_size_t(), lambda x: check(get_sz(arg, ctypes.byref(x))))
|
|
return ctypes.string_at(init_c_var(ctypes.create_string_buffer(sz.value), lambda x: check(get_str(arg, x))), size=sz.value)
|
|
|
|
class PTXCompiler(Compiler):
|
|
def __init__(self, arch:str):
|
|
self.arch = arch
|
|
self.version = "7.8" if arch >= "sm_89" else "7.5"
|
|
super().__init__(f"compile_ptx_{self.arch}")
|
|
def compile(self, src:str) -> bytes: return src.replace("TARGET", self.arch).replace("VERSION", self.version).encode()
|
|
|
|
class CUDACompiler(Compiler):
|
|
def __init__(self, arch:str):
|
|
self.arch = arch
|
|
check(nvrtc.nvrtcVersion((nvrtcMajor := ctypes.c_int()), (nvrtcMinor := ctypes.c_int())))
|
|
self.compile_options = [f'--gpu-architecture={arch}', "-I/usr/local/cuda/include", "-I/usr/include", "-I/opt/cuda/include/"]
|
|
if (nvrtcMajor.value, nvrtcMinor.value) >= (12, 4): self.compile_options.append("--minimal")
|
|
super().__init__(f"compile_cuda_{self.arch}")
|
|
def compile(self, src:str) -> bytes:
|
|
check(nvrtc.nvrtcCreateProgram(ctypes.byref(prog := nvrtc.nvrtcProgram()), src.encode(), "<null>".encode(), 0, None, None))
|
|
status = nvrtc.nvrtcCompileProgram(prog, len(self.compile_options), to_char_p_p([o.encode() for o in self.compile_options]))
|
|
|
|
if status != 0: raise CompileError(f"compile failed: {_get_bytes(prog, nvrtc.nvrtcGetProgramLog, nvrtc.nvrtcGetProgramLogSize, check).decode()}")
|
|
return _get_bytes(prog, nvrtc.nvrtcGetPTX, nvrtc.nvrtcGetPTXSize, check)
|
|
|
|
def cuda_disassemble(lib, arch):
|
|
try:
|
|
fn = (Path(tempfile.gettempdir()) / f"tinycuda_{hashlib.md5(lib).hexdigest()}").as_posix()
|
|
with open(fn + ".ptx", "wb") as f: f.write(lib)
|
|
subprocess.run(["ptxas", f"-arch={arch}", "-o", fn, fn+".ptx"], check=True)
|
|
print(subprocess.check_output(['nvdisasm', fn]).decode('utf-8'))
|
|
except Exception as e: print("Failed to generate SASS", str(e), "Make sure your PATH contains ptxas/nvdisasm binary of compatible version.")
|
|
|
|
class CUDAProgram:
|
|
def __init__(self, device:CUDADevice, name:str, lib:bytes):
|
|
self.device, self.name, self.lib = device, name, lib
|
|
if DEBUG >= 5: print("\n".join([f"{i+1:>3} {line}" for i, line in enumerate(pretty_ptx(lib.decode('utf-8')).split("\n"))]))
|
|
if DEBUG >= 6: cuda_disassemble(lib, device.arch)
|
|
|
|
check(cuda.cuCtxSetCurrent(self.device.context))
|
|
self.module = cuda.CUmodule()
|
|
status = cuda.cuModuleLoadData(ctypes.byref(self.module), lib)
|
|
if status != 0:
|
|
del self.module
|
|
cuda_disassemble(lib, device.arch)
|
|
raise RuntimeError(f"module load failed with status code {status}: {cuda.cudaError_enum__enumvalues[status]}")
|
|
check(cuda.cuModuleGetFunction(ctypes.byref(prg := cuda.CUfunction()), self.module, name.encode("utf-8")))
|
|
self.prg = prg #type: ignore
|
|
|
|
def __del__(self):
|
|
if hasattr(self, 'module'): check(cuda.cuModuleUnload(self.module))
|
|
|
|
def __call__(self, *args, global_size:Tuple[int,int,int]=(1,1,1), local_size:Tuple[int,int,int]=(1,1,1), vals:Tuple[int, ...]=(), wait=False):
|
|
check(cuda.cuCtxSetCurrent(self.device.context))
|
|
if not hasattr(self, "vargs"):
|
|
self.c_args, self.vargs = encode_args(args, vals) #type: ignore
|
|
else:
|
|
for i in range(len(args)): self.c_args.__setattr__(f'f{i}', args[i])
|
|
for i in range(len(vals)): self.c_args.__setattr__(f'v{i}', vals[i])
|
|
return cu_time_execution(lambda: check(cuda.cuLaunchKernel(self.prg, *global_size, *local_size, 0, None, None, self.vargs)), enable=wait)
|
|
|
|
class CUDAAllocator(LRUAllocator):
|
|
def __init__(self, device:CUDADevice):
|
|
self.device = device
|
|
super().__init__()
|
|
def _alloc(self, size, options:BufferOptions):
|
|
check(cuda.cuCtxSetCurrent(self.device.context))
|
|
if options.host: return init_c_var(ctypes.c_void_p(), lambda x: check(cuda.cuMemHostAlloc(ctypes.byref(x), size, 0x01)))
|
|
return init_c_var(cuda.CUdeviceptr(), lambda x: check(cuda.cuMemAlloc_v2(ctypes.byref(x), size)))
|
|
def _free(self, opaque, options:BufferOptions):
|
|
if options.host: check(cuda.cuMemFreeHost(opaque))
|
|
else: check(cuda.cuMemFree_v2(opaque))
|
|
def copyin(self, dest, src:memoryview):
|
|
check(cuda.cuCtxSetCurrent(self.device.context))
|
|
host_mem = self.alloc(len(src), BufferOptions(host=True))
|
|
self.device.pending_copyin.append((host_mem, len(src), BufferOptions(host=True)))
|
|
ctypes.memmove(host_mem, from_mv(src), len(src))
|
|
check(cuda.cuMemcpyHtoDAsync_v2(dest, host_mem, len(src), None))
|
|
def copyout(self, dest:memoryview, src):
|
|
CUDADevice.synchronize_system()
|
|
check(cuda.cuCtxSetCurrent(self.device.context))
|
|
check(cuda.cuMemcpyDtoH_v2(from_mv(dest), src, len(dest)))
|
|
def transfer(self, dest, src, sz:int, src_dev, dest_dev):
|
|
check(cuda.cuCtxSetCurrent(src_dev.context))
|
|
check(cuda.cuEventCreate(ctypes.byref(sync_event := cuda.CUevent()), 0))
|
|
check(cuda.cuMemcpyDtoDAsync_v2(dest, src, sz, None))
|
|
check(cuda.cuEventRecord(sync_event, None))
|
|
check(cuda.cuCtxSetCurrent(dest_dev.context))
|
|
check(cuda.cuStreamWaitEvent(None, sync_event, 0)) # sync the default stream on the dest dev
|
|
def offset(self, buf, size:int, offset:int): return ctypes.c_ulong(buf.value + offset)
|
|
|
|
class CUDADevice(Compiled):
|
|
devices: List[CUDADevice] = []
|
|
peer_access = False
|
|
|
|
def __init__(self, device:str):
|
|
device_id = int(device.split(":")[1]) if ":" in device else 0
|
|
check(cuda.cuInit(0))
|
|
self.cu_device = init_c_var(cuda.CUdevice(), lambda x: check(cuda.cuDeviceGet(ctypes.byref(x), device_id)))
|
|
self.context = init_c_var(cuda.CUcontext(), lambda x: check(cuda.cuCtxCreate_v2(ctypes.byref(x), 0, self.cu_device)))
|
|
check(cuda.cuDeviceComputeCapability(ctypes.byref(major := ctypes.c_int()), ctypes.byref(minor := ctypes.c_int()), device_id))
|
|
|
|
for dev in CUDADevice.devices:
|
|
check(cuda.cuDeviceCanAccessPeer(ctypes.byref(val := ctypes.c_int()), self.cu_device, dev.cu_device))
|
|
if val.value != 1: continue
|
|
check(cuda.cuCtxSetCurrent(dev.context))
|
|
check(cuda.cuCtxEnablePeerAccess(self.context, 0))
|
|
check(cuda.cuCtxSetCurrent(self.context))
|
|
check(cuda.cuCtxEnablePeerAccess(dev.context, 0))
|
|
CUDADevice.peer_access = True
|
|
|
|
self.arch = f"sm_{major.value}{minor.value}"
|
|
self.pending_copyin: List[Tuple[int, int, Optional[BufferOptions]]] = []
|
|
CUDADevice.devices.append(self)
|
|
|
|
from tinygrad.runtime.graph.cuda import CUDAGraph
|
|
super().__init__(device, CUDAAllocator(self), PTXRenderer(self.arch) if PTX else CUDARenderer(self.arch),
|
|
PTXCompiler(self.arch) if PTX else CUDACompiler(self.arch), functools.partial(CUDAProgram, self), graph=CUDAGraph)
|
|
|
|
def synchronize(self):
|
|
check(cuda.cuCtxSetCurrent(self.context))
|
|
check(cuda.cuCtxSynchronize())
|
|
for opaque,sz,options in self.pending_copyin: self.allocator.free(opaque, sz, options)
|
|
self.pending_copyin.clear()
|
|
|
|
@staticmethod
|
|
def synchronize_system():
|
|
for d in CUDADevice.devices: d.synchronize()
|