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