mirror of https://github.com/commaai/tinygrad.git
82 lines
3.8 KiB
Python
82 lines
3.8 KiB
Python
import argparse
|
|
from collections import defaultdict
|
|
from extra.optimization.helpers import kern_str_to_lin
|
|
from test.external.fuzz_linearizer import compare_linearizer
|
|
from tinygrad.helpers import colored
|
|
from tinygrad.codegen.kernel import Kernel
|
|
from tinygrad.engine.search import time_linearizer
|
|
|
|
# Use this with the LOGKERNS options to verify that all executed kernels are valid and evaluate to the same ground truth results
|
|
|
|
# Example for GPT2:
|
|
# 1) Run the model to log all kernels: `PYTHONPATH=. LOGKERNS=/tmp/gpt2_kerns.txt JIT=1 HALF=1 BEAM=2 CACHELEVEL=0 python3 examples/gpt2.py --count 10 --temperature 0 --timing` # noqa: E501
|
|
# 2) Validate the kernel correctness: `PYTHONPATH=. python3 ./test/external/verify_kernel.py --file /tmp/gpt2_kerns.txt`
|
|
|
|
if __name__ == "__main__":
|
|
parser = argparse.ArgumentParser(description="Verify the correctness of one or more kernel", formatter_class=argparse.ArgumentDefaultsHelpFormatter) # noqa: E501
|
|
parser.add_argument("--kernel", type=str, default=None, help="a string of a tuple of (ast, applied_opts,)")
|
|
parser.add_argument("--file", type=str, default=None, help="a file containing a tuple of ast and applied_opts, one per line")
|
|
parser.add_argument("--pkl", type=str, default=None, help="a pickle file containing a single tuple of ast and applied_opts")
|
|
parser.add_argument("--rtol", type=float, default=1e-2, help="relative tolerance for numerical comparison")
|
|
parser.add_argument("--atol", type=float, default=1e-2, help="absolute tolerance for numerical comparison")
|
|
parser.add_argument("--timing", action='store_true', help="show final timing for the kernel")
|
|
parser.add_argument("--expected-failures", type=int, default=0, help="the number of expected failed kernels")
|
|
args = parser.parse_args()
|
|
|
|
if args.kernel is not None:
|
|
print("loading kernel from args")
|
|
test_lins = [kern_str_to_lin(args.kernel)]
|
|
elif args.file is not None:
|
|
print(f"loading kernel from file '{args.file}'")
|
|
with open(args.file, 'r') as file:
|
|
kern_strs = file.readlines()
|
|
test_lins = [kern_str_to_lin(kern_str) for kern_str in kern_strs]
|
|
elif args.pkl is not None:
|
|
print(f"loading kernel from pickle file '{args.file}'")
|
|
import pickle
|
|
with open(args.pkl, 'rb') as file:
|
|
(ast, applied_opts,) = pickle.load(file)
|
|
lin = Kernel(ast)
|
|
for opt in applied_opts:
|
|
lin.apply_opt(opt)
|
|
test_lins = [lin]
|
|
|
|
else:
|
|
raise RuntimeError("no kernel specified; use --kernel, --file, or --pkl options")
|
|
|
|
print(f"verifying {len(test_lins)} kernels")
|
|
|
|
failed_ids = []
|
|
failures = defaultdict(list)
|
|
for i, test_lin in enumerate(test_lins):
|
|
print(f"testing kernel {i}")
|
|
print(test_lin.ast)
|
|
print(test_lin.applied_opts)
|
|
unoptimized_lin = Kernel(test_lin.ast)
|
|
unoptimized_lin.required_optimizations()
|
|
print(f"{unoptimized_lin.colored_shape()} -> {test_lin.colored_shape()}")
|
|
(msg,rb,vv,gt) = compare_linearizer(test_lin, None, None, None, rtol=args.rtol, atol=args.atol)
|
|
if msg != "PASS":
|
|
failed_ids.append(i)
|
|
failures[msg].append((test_lin.ast, test_lin.applied_opts))
|
|
if args.timing:
|
|
tm = time_linearizer(test_lin, rb, allow_test_size=False, cnt=10)
|
|
print(f"final time {tm*1e6:9.0f} us")
|
|
|
|
for msg, errors in failures.items():
|
|
for i, (ast, opts) in enumerate(errors):
|
|
print(f"{msg} {i} AST: {ast}")
|
|
print(f"{msg} {i} OPTS: {opts}\n")
|
|
|
|
print(f"tested {len(test_lins)} kernels")
|
|
if failures:
|
|
print(f"{failed_ids=}")
|
|
for msg, errors in failures.items():
|
|
print(f"{msg}: {len(errors)}")
|
|
if len(failed_ids) == args.expected_failures:
|
|
print(colored(f"{len(failed_ids)} failed as expected", "yellow"))
|
|
if len(failed_ids) != args.expected_failures:
|
|
raise RuntimeError(f"failed on {len(failed_ids)} kernels, expected {args.expected_failures}")
|
|
else:
|
|
print(colored("all passed", "green"))
|