mirror of
https://github.com/deepseek-ai/DeepGEMM
synced 2025-05-06 17:24:21 +00:00
273 lines
9.5 KiB
Python
273 lines
9.5 KiB
Python
import abc
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import functools
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import hashlib
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import os
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import re
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import subprocess
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import time
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import uuid
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from typing import List, Tuple
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import cuda.bindings
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import cuda.bindings.nvrtc as nvrtc
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from torch.utils.cpp_extension import CUDA_HOME
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from . import interleave_ffma
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from .runtime import Runtime, RuntimeCache
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runtime_cache = RuntimeCache()
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def hash_to_hex(s: str) -> str:
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md5 = hashlib.md5()
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md5.update(s.encode('utf-8'))
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return md5.hexdigest()[0:12]
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@functools.lru_cache(maxsize=None)
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def get_jit_include_dir() -> str:
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return f'{os.path.dirname(os.path.abspath(__file__))}/../include'
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@functools.lru_cache(maxsize=None)
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def get_deep_gemm_version() -> str:
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# Update include directories
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include_dir = f'{get_jit_include_dir()}/deep_gemm'
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assert os.path.exists(
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include_dir), f'Cannot find GEMM include directory {include_dir}'
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md5 = hashlib.md5()
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for filename in filter(lambda x: x.endswith('.cuh'), sorted(os.listdir(include_dir))):
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with open(f'{include_dir}/{filename}', 'rb') as f:
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md5.update(f.read())
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# Update `interleave_ffma.py`
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with open(f'{os.path.dirname(os.path.realpath(__file__))}/interleave_ffma.py', 'rb') as f:
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md5.update(f.read())
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return md5.hexdigest()[0:12]
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@functools.lru_cache(maxsize=None)
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def get_nvcc_compiler() -> Tuple[str, str]:
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paths = []
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if os.getenv('DG_NVCC_COMPILER'):
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paths.append(os.getenv('DG_NVCC_COMPILER'))
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paths.append(f'{CUDA_HOME}/bin/nvcc')
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# Try to find the first available NVCC compiler
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least_version_required = '12.3'
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version_pattern = re.compile(r'release (\d+\.\d+)')
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for path in paths:
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if os.path.exists(path):
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match = version_pattern.search(
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os.popen(f'{path} --version').read())
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version = match.group(1)
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assert match, f'Cannot get the version of NVCC compiler {path}'
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assert version >= least_version_required, f'NVCC {path} version {version} is lower than {least_version_required}'
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return path, version
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raise RuntimeError('Cannot find any available NVCC compiler')
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@functools.lru_cache(maxsize=None)
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def get_default_user_dir():
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if 'DG_CACHE_DIR' in os.environ:
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path = os.getenv('DG_CACHE_DIR')
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os.makedirs(path, exist_ok=True)
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return path
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return os.path.expanduser('~') + '/.deep_gemm'
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@functools.lru_cache(maxsize=None)
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def get_tmp_dir():
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return f'{get_default_user_dir()}/tmp'
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@functools.lru_cache(maxsize=None)
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def get_cache_dir():
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return f'{get_default_user_dir()}/cache'
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def make_tmp_dir():
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tmp_dir = get_tmp_dir()
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os.makedirs(tmp_dir, exist_ok=True)
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return tmp_dir
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def put(path, data, is_binary=False):
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# Write and do POSIX atomic replace
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tmp_file_path = f'{make_tmp_dir()}/file.tmp.{str(uuid.uuid4())}.{hash_to_hex(path)}'
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with open(tmp_file_path, 'wb' if is_binary else 'w') as f:
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f.write(data)
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os.replace(tmp_file_path, path)
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class Compiler(abc.ABC):
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@staticmethod
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@abc.abstractmethod
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def __version__() -> Tuple[int, int]:
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pass
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@classmethod
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@abc.abstractmethod
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def compile(cls, name: str, src_path: str, target_path: str):
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pass
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@staticmethod
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def flags() -> List[str]:
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cpp_standard = int(os.getenv('DG_NVCC_OVERRIDE_CPP_STANDARD', 20))
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return [f'-std=c++{cpp_standard}',
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'--ptxas-options=--register-usage-level=10' +
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(',--verbose' if 'DG_PTXAS_VERBOSE' in os.environ else ''),
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# Suppress some unnecessary warnings, such as unused variables for certain `constexpr` branch cases
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'--diag-suppress=39,174,177,940']
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@staticmethod
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def include_dirs() -> List[str]:
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return [get_jit_include_dir()]
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@classmethod
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def build(cls, name: str, code: str) -> Runtime:
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# Compiler flags
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flags = cls.flags()
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include_dirs = cls.include_dirs()
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# Build signature
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enable_sass_opt = get_nvcc_compiler()[1] <= '12.8' and int(
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os.getenv('DG_DISABLE_FFMA_INTERLEAVE', 0)) == 0
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signature = f'{name}$${get_deep_gemm_version()}$${code}$${get_nvcc_compiler()}$${flags}$${enable_sass_opt}'
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name = f'kernel.{name}.{hash_to_hex(signature)}'
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path = f'{get_cache_dir()}/{name}'
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# Check runtime cache or file system hit
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global runtime_cache
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if runtime_cache[path] is not None:
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if os.getenv('DG_JIT_DEBUG', None):
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print(f'Using cached JIT runtime {name} during build')
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return runtime_cache[path]
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# Write the code
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os.makedirs(path, exist_ok=True)
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src_path = f'{path}/kernel.cu'
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put(src_path, code)
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# Compile into a temporary CU file
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cubin_path = f'{path}/kernel.cubin'
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tmp_cubin_path = f'{make_tmp_dir()}/nvcc.tmp.{str(uuid.uuid4())}.{hash_to_hex(cubin_path)}.cubin'
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start_time = time.time()
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cls.compile(name, src_path, tmp_cubin_path)
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end_time = time.time()
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elapsed_time = end_time - start_time
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if os.getenv('DG_JIT_DEBUG', None):
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print(
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f'Compilation of JIT runtime {name} took {elapsed_time:.2f} seconds.')
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# Interleave FFMA reuse
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if enable_sass_opt:
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interleave_ffma.process(tmp_cubin_path)
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# Atomic replace CU file
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os.replace(tmp_cubin_path, cubin_path)
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# Put cache and return
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runtime_cache[path] = Runtime(path)
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return runtime_cache[path]
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class NvccCompiler(Compiler):
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@staticmethod
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def __version__() -> Tuple[int, int]:
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major, minor, _ = map(int, cuda.bindings.__version__.split('.'))
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return (major, minor)
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@classmethod
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def flags(cls) -> List[str]:
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cxx_flags = ['-fPIC', '-O3',
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'-Wno-deprecated-declarations', '-Wno-abi', '-fconcepts']
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return [*super().flags(), *[f'-I{d}' for d in cls.include_dirs()],
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'-gencode=arch=compute_90a,code=sm_90a',
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'-cubin', '-O3', '--expt-relaxed-constexpr', '--expt-extended-lambda',
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f'--compiler-options={",".join(cxx_flags)}']
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@classmethod
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def compile(cls, name: str, src_path: str, target_path: str):
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command = [get_nvcc_compiler()[0],
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src_path, '-o', target_path,
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*cls.flags()]
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if os.getenv('DG_JIT_DEBUG', None) or os.getenv('DG_JIT_PRINT_NVCC_COMMAND', False):
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print(f'Compiling JIT runtime {name} with command {command}')
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return_code = subprocess.check_call(command)
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assert return_code == 0, f'Failed to compile {src_path}'
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class NvrtcCompiler(Compiler):
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@staticmethod
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def __version__() -> Tuple[int, int]:
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_, version = get_nvcc_compiler()
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major, minor = map(int, version.split('.'))
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return (major, minor)
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@staticmethod
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def include_dirs() -> List[str]:
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if CUDA_HOME is None:
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raise RuntimeError('CUDA_HOME is required for NVRTC compilation')
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return [get_jit_include_dir(), os.path.join(CUDA_HOME, 'include'), os.path.join(CUDA_HOME, 'targets', 'x86_64-linux', 'include')]
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@classmethod
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def flags(cls) -> List[str]:
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base_flags = [*super().flags(), *[f'-I{d}' for d in cls.include_dirs()],
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'--gpu-architecture=sm_90a', '-default-device']
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if cls.__version__() >= (12, 8):
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base_flags += ['--pch', f'--pch-dir={get_cache_dir()}']
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if os.getenv('DG_JIT_DEBUG', None):
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base_flags += ['--pch-verbose=true']
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return base_flags
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@classmethod
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def compile(cls, name: str, src_path: str, target_path: str):
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code_bytes = open(src_path, 'rb').read()
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res, program = nvrtc.nvrtcCreateProgram(
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code_bytes, bytes(name, 'utf-8'), 0, [], [])
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if res != nvrtc.nvrtcResult.NVRTC_SUCCESS:
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raise Exception(f"Failed to create program: {res}")
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options = [bytes(flag, 'utf-8') for flag in cls.flags()]
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compile_res = nvrtc.nvrtcCompileProgram(
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program, len(options), options)[0]
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if os.getenv('DG_JIT_DEBUG', None):
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res, log_size = nvrtc.nvrtcGetProgramLogSize(program)
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if res != nvrtc.nvrtcResult.NVRTC_SUCCESS:
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raise Exception(f"Failed to get program log size: {res}")
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log_bytes = bytes(log_size)
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res = nvrtc.nvrtcGetProgramLog(program, log_bytes)[0]
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if res != nvrtc.nvrtcResult.NVRTC_SUCCESS:
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raise Exception(f"Failed to get program log: {res}")
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log_str = log_bytes.decode('utf-8')
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print(log_str)
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if compile_res != nvrtc.nvrtcResult.NVRTC_SUCCESS:
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raise Exception(f"Failed to compile program: {compile_res}")
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res, cubin_size = nvrtc.nvrtcGetCUBINSize(program)
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if res != nvrtc.nvrtcResult.NVRTC_SUCCESS:
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raise Exception(f"Failed to get CUBIN size: {res}")
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cubin_bytes = bytes(cubin_size)
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res = nvrtc.nvrtcGetCUBIN(program, cubin_bytes)[0]
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if res != nvrtc.nvrtcResult.NVRTC_SUCCESS:
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raise Exception(f"Failed to get CUBIN: {res}")
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put(target_path, cubin_bytes, is_binary=True)
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res = nvrtc.nvrtcDestroyProgram(program)[0]
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if res != nvrtc.nvrtcResult.NVRTC_SUCCESS:
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raise Exception(f"Failed to destroy program: {res}")
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def build(name: str, code: str) -> Runtime:
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if os.getenv('DG_JIT_USE_NVRTC', '0') in ['1', 'true', 'True']:
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return NvrtcCompiler.build(name, code)
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else:
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return NvccCompiler.build(name, code)
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