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tilelang/testing/python/cache/test_tilelang_cuda_binary_cache.py
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2026-08-24 17:15:45 +08:00

150 lines
5.7 KiB
Python

from __future__ import annotations
import cloudpickle
import os
import tilelang
import tilelang.cache.kernel_cache as kernel_cache_mod
from tilelang.backend import create_backend_context
from tilelang.cache.cuda_binary_cache import CUDABinaryCache
from tilelang.cache.kernel_cache import KernelCache
from tilelang.env import env
from tvm.target import Target
def _set_cache_dirs(monkeypatch, tmp_path):
cache_dir = tmp_path / "cache"
cache_dir.mkdir()
monkeypatch.setattr(env, "TILELANG_CACHE_DIR", str(cache_dir))
monkeypatch.setattr(env, "TILELANG_DISABLE_CACHE", "0")
tilelang.enable_cache()
KernelCache._get_cache_namespace.cache_clear()
CUDABinaryCache._get_tilelang_lib_stamp.cache_clear()
return cache_dir
def test_kernel_cache_namespace_includes_host_platform(monkeypatch):
monkeypatch.setattr(kernel_cache_mod, "__version__", "1.2.3+cuda.gitabc")
monkeypatch.setattr(kernel_cache_mod.sys, "platform", "linux")
monkeypatch.setattr(kernel_cache_mod.platform, "machine", lambda: "aarch64")
KernelCache._get_cache_namespace.cache_clear()
assert KernelCache._get_cache_namespace() == os.path.join("1.2.3_cuda_gitabc", "linux-aarch64")
def test_cuda_binary_cache_hit_skips_nvcc_compile(monkeypatch, tmp_path):
_set_cache_dirs(monkeypatch, tmp_path)
from tilelang.cuda import backend as cuda_backend
monkeypatch.setattr(env, "TILELANG_KERNEL_CACHE_USE_LIB_STAMP", "0")
compile_calls = []
def fake_compile_cuda(code, target_format, arch, options=None, verbose=False):
compile_calls.append((code, target_format, tuple(arch), tuple(options or ())))
return bytearray(b"fake-cubin")
monkeypatch.setattr(cuda_backend.nvcc, "compile_cuda", fake_compile_cuda)
target = Target({"kind": "cuda", "arch": "sm_90a"})
source = 'extern "C" __global__ void kernel() {}'
fast_math_pass_configs = {
tilelang.PassConfigKey.TL_ENABLE_FAST_MATH: True,
tilelang.PassConfigKey.TL_DEVICE_COMPILE_FLAGS: ["--extra-device-vectorization"],
}
first = cuda_backend.tilelang_callback_cuda_compile(source, target)
second = cuda_backend.tilelang_callback_cuda_compile(source, target)
# Different compiler options (e.g. --use_fast_math) change the generated
# SASS without changing the source, so they must NOT share a cache entry.
third = cuda_backend.tilelang_callback_cuda_compile(source, target, fast_math_pass_configs)
fourth = cuda_backend.tilelang_callback_cuda_compile(source, target, fast_math_pass_configs)
assert bytes(first) == b"fake-cubin"
assert bytes(second) == b"fake-cubin"
assert bytes(third) == b"fake-cubin"
assert bytes(fourth) == b"fake-cubin"
# first compiles, second hits; third compiles (new options), fourth hits
assert len(compile_calls) == 2
assert compile_calls[0][3] != compile_calls[1][3]
cache_files = list((tmp_path / "cache").glob("*/cuda-binaries/*.cubin"))
assert len(cache_files) == 2
def test_cuda_binary_cache_corrupted_entry_recompiles(monkeypatch, tmp_path):
_set_cache_dirs(monkeypatch, tmp_path)
from tilelang.cuda import backend as cuda_backend
monkeypatch.setattr(env, "TILELANG_KERNEL_CACHE_USE_LIB_STAMP", "0")
compile_calls = []
def fake_compile_cuda(code, target_format, arch, options=None, verbose=False):
compile_calls.append(code)
return bytearray(b"fake-cubin")
monkeypatch.setattr(cuda_backend.nvcc, "compile_cuda", fake_compile_cuda)
target = Target({"kind": "cuda", "arch": "sm_90a"})
source = 'extern "C" __global__ void kernel() {}'
cuda_backend.tilelang_callback_cuda_compile(source, target)
assert len(compile_calls) == 1
[cache_file] = (tmp_path / "cache").glob("*/cuda-binaries/*.cubin")
assert cache_file.with_name(cache_file.name + ".sha256").exists()
# Same-size corruption, as left behind by a crashed writer/filesystem client.
cache_file.write_bytes(b"\x00" * len(b"fake-cubin"))
recompiled = cuda_backend.tilelang_callback_cuda_compile(source, target)
assert bytes(recompiled) == b"fake-cubin"
assert len(compile_calls) == 2
# The corrupted entry was rewritten, so the next call hits the cache again.
cuda_backend.tilelang_callback_cuda_compile(source, target)
assert len(compile_calls) == 2
def test_cuda_binary_cache_accepts_legacy_entry_without_sidecar(monkeypatch, tmp_path):
_set_cache_dirs(monkeypatch, tmp_path)
key = "legacy-key"
path = CUDABinaryCache.get_path(key, "cubin")
os.makedirs(os.path.dirname(path), exist_ok=True)
with open(path, "wb") as f:
f.write(b"legacy-cubin")
assert CUDABinaryCache.load(key, "cubin") == b"legacy-cubin"
def test_disk_cache_load_failure_is_cache_miss(monkeypatch, tmp_path):
_set_cache_dirs(monkeypatch, tmp_path)
cache = KernelCache()
key = "bad-host-executable"
cache_path = tmp_path / "cache" / KernelCache._get_cache_namespace() / "kernels" / key
cache_path.mkdir(parents=True)
(cache_path / cache.device_kernel_path).write_text("// device")
(cache_path / cache.host_kernel_path).write_text("// host")
(cache_path / cache.kernel_lib_path).write_bytes(b"not-loadable")
with (cache_path / cache.params_path).open("wb") as f:
cloudpickle.dump(["param"], f)
cache._write_manifest(str(cache_path))
def fail_from_database(*args, **kwargs):
raise RuntimeError("bad host executable")
monkeypatch.setattr(kernel_cache_mod.JITKernel, "from_database", classmethod(fail_from_database))
loaded = cache._load_kernel_from_disk(
key,
backend_context=create_backend_context("cuda", execution_backend="tvm_ffi"),
out_idx=[0],
pass_configs=None,
compile_flags=None,
func=None,
)
assert loaded is None
assert not cache_path.exists()