80 lines
2.9 KiB
Python
80 lines
2.9 KiB
Python
import unittest
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from tinygrad import Tensor
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from tinygrad import Device
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from tinygrad.helpers import Timing, CI, OSX
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import multiprocessing.shared_memory as shared_memory
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N = 4096 if CI else 16384
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class TestCopySpeed(unittest.TestCase):
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@classmethod
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def setUpClass(cls):
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Device[Device.DEFAULT].synchronize()
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@unittest.skipIf(OSX, "no shm on OSX")
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def testCopySHMtoDefault(self):
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s = shared_memory.SharedMemory(name="test_X", create=True, size=N * N * 4)
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s.close()
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if CI:
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t = Tensor.empty(N, N, device="disk:/dev/shm/test_X").realize()
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else:
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t = Tensor.empty(N, N, device="disk:shm:test_X").realize()
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for _ in range(3):
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with Timing("sync: ", on_exit=lambda ns: f" @ {t.nbytes()/ns:.2f} GB/s"):
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with Timing("queue: "):
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t.to(Device.DEFAULT).realize()
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Device[Device.DEFAULT].synchronize()
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s.unlink()
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def testCopyCPUtoDefault(self):
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t = Tensor.rand(N, N, device="cpu").realize()
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print(f"buffer: {t.nbytes()*1e-9:.2f} GB")
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for _ in range(3):
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with Timing("sync: ", on_exit=lambda ns: f" @ {t.nbytes()/ns:.2f} GB/s"):
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with Timing("queue: "):
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t.to(Device.DEFAULT).realize()
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Device[Device.DEFAULT].synchronize()
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def testCopyCPUtoDefaultFresh(self):
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print("fresh copy")
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for _ in range(3):
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t = Tensor.rand(N, N, device="cpu").realize()
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with Timing(
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"sync: ", on_exit=lambda ns: f" @ {t.nbytes()/ns:.2f} GB/s"
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): # noqa: F821
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with Timing("queue: "):
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t.to(Device.DEFAULT).realize()
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Device[Device.DEFAULT].synchronize()
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del t
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def testCopyDefaulttoCPU(self):
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t = Tensor.rand(N, N).realize()
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print(f"buffer: {t.nbytes()*1e-9:.2f} GB")
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for _ in range(3):
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with Timing("sync: ", on_exit=lambda ns: f" @ {t.nbytes()/ns:.2f} GB/s"):
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t.to("cpu").realize()
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@unittest.skipIf(CI, "CI doesn't have 6 GPUs")
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@unittest.skipIf(Device.DEFAULT != "GPU", "only test this on GPU")
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def testCopyCPUto6GPUs(self):
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from tinygrad.runtime.ops_gpu import CLDevice
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if len(CLDevice.device_ids) != 6:
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raise unittest.SkipTest("computer doesn't have 6 GPUs")
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t = Tensor.rand(N, N, device="cpu").realize()
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print(f"buffer: {t.nbytes()*1e-9:.2f} GB")
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for _ in range(3):
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with Timing(
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"sync: ",
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on_exit=lambda ns: f" @ {t.nbytes()/ns:.2f} GB/s ({t.nbytes()*6/ns:.2f} GB/s total)",
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):
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with Timing("queue: "):
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for g in range(6):
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t.to(f"gpu:{g}").realize()
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Device["gpu"].synchronize()
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if __name__ == "__main__":
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unittest.main()
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