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https://github.com/firestar5683/StarPilot.git
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firestar5683
22a8575199
Keep official openpilot ancestry and dependency licenses. Store resources directly in Git, remove LFS setup requirements, and leave the downloadable big model outside the source tree.
49 lines
1.8 KiB
Python
49 lines
1.8 KiB
Python
import time, unittest
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from tinygrad import Tensor, TinyJit, Device, dtypes
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from tinygrad.helpers import getenv, GlobalCounters
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SZMAX = getenv("SZMAX", 10)
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SZMIN = min(SZMAX, getenv("SZMIN", 10))
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def _test(tcount, fxn, dtype=dtypes.float):
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print(f"**** testing {fxn.__name__} {dtype}")
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allgbs = []
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for sz in range(SZMIN, SZMAX+1):
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jfxn = TinyJit(fxn)
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ts = [Tensor.zeros((2**sz)*1024*1024, dtype=dtype).contiguous().realize() for _ in range(tcount)]
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tms = []
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for _ in range(10):
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ts = [(x+1).realize() for x in ts]
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Device.default.synchronize()
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GlobalCounters.global_ops = 0
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GlobalCounters.global_mem = 0
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st = time.perf_counter()
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jfxn(*ts).nbytes()
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Device.default.synchronize()
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tms.append(time.perf_counter() - st)
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ops, mem = GlobalCounters.global_ops, GlobalCounters.global_mem
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gflops = ops*1e-9/min(tms)
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gbs = mem*1e-9/min(tms)
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print(f"{ts[0].nbytes()/(1024*1024):10.0f} MB, {min(tms)*1e3:6.2f} ms {gbs:10.2f} GB/s {gflops:10.2f} GFLOPS {str(ts[0].shape):20s}")
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allgbs.append(gbs)
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return max(allgbs)
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MEMBW = getenv("MEMBW", 10)
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class TestRamBandwidth(unittest.TestCase):
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def test_add(self): self.assertGreater(_test(2, Tensor.add), MEMBW)
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def test_exp(self): self.assertGreater(_test(1, Tensor.exp), MEMBW)
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def test_sum(self): self.assertGreater(_test(1, Tensor.sum), MEMBW)
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# ratio between MEM and FLOPS < 1000
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# NOTE: On AMD, (x*x)+1 gets ~30 TFLOPS, (x*x)+3 gets ~60 TFLOPS
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def flopsmax(x):
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for _ in range(500): x = (x*x)+3
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return x
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class TestFlops(unittest.TestCase):
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def test_flops_int8(self): _test(1, flopsmax, dtypes.int8)
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def test_flops_fp16(self): _test(1, flopsmax, dtypes.half)
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def test_flops_fp32(self): _test(1, flopsmax)
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if __name__ == '__main__':
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unittest.main()
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