mirror of https://github.com/commaai/tinygrad.git
add timing to fuzz_linearizer (#7056)
and applied smaller FUZZ_MAX_SIZE. this is getting quite slow in CI
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@ -345,7 +345,7 @@ jobs:
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- name: Test Beam Search
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run: PYTHONPATH="." METAL=1 IGNORE_BEAM_CACHE=1 python3 -m pytest extra/optimization/test_beam_search.py
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- name: Fuzz Test linearizer
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run: PYTHONPATH="." METAL=1 FUZZ_ALL_ACTIONS=1 DEPTH=2 FUZZ_N=24 FUZZ_MAX_SIZE=10000000 python test/external/fuzz_linearizer.py
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run: PYTHONPATH="." METAL=1 FUZZ_ALL_ACTIONS=1 DEPTH=2 FUZZ_N=24 FUZZ_MAX_SIZE=1000000 python test/external/fuzz_linearizer.py
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- name: Fuzz Test models schedule
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run: FUZZ_SCHEDULE=1 FUZZ_SCHEDULE_MAX_PATHS=5 python -m pytest test/models/test_train.py test/models/test_end2end.py
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- name: Run TRANSCENDENTAL math
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@ -10,7 +10,7 @@ from tinygrad.codegen.kernel import Kernel
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from tinygrad.codegen.kernel import Opt, OptOps
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from tinygrad.engine.search import get_kernel_actions, bufs_from_lin
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from tinygrad.engine.realize import CompiledRunner
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from tinygrad.helpers import getenv, from_mv, prod, colored, Context, DEBUG
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from tinygrad.helpers import getenv, from_mv, prod, colored, Context, DEBUG, Timing
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from tinygrad.ops import UnaryOps, UOp, UOps
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from test.helpers import is_dtype_supported
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@ -231,14 +231,13 @@ if __name__ == "__main__":
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print("skipping kernel due to not supported dtype")
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continue
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print(f"testing ast {i}")
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tested += 1
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fuzz_failures = fuzz_linearizer(lin, rtol=args.rtol, atol=args.atol)
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if fuzz_failures: failed_ids.append(i)
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for k, v in fuzz_failures.items():
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for f in v:
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failures[k].append(f)
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with Timing(f"tested ast {i}: "):
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tested += 1
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fuzz_failures = fuzz_linearizer(lin, rtol=args.rtol, atol=args.atol)
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if fuzz_failures: failed_ids.append(i)
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for k, v in fuzz_failures.items():
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for f in v:
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failures[k].append(f)
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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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