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Fix cl import in the copy_speed test and cifar example (#2586) 

* fix CL import

* update test to only run on GPU

* update hlb_cifar too
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qazal 2023-12-03 12:22:07 -05:00 committed by GitHub
parent 3226b3d96b
commit ab2d4d8d29
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2 changed files with 6 additions and 5 deletions
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4
examples/hlb_cifar10.py
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@ -430,8 +430,8 @@ if __name__ == "__main__":
from tinygrad.runtime.ops_hip import HIP
devices = [f"hip:{i}" for i in range(HIP.device_count)]
else:
from tinygrad.runtime.ops_gpu import CL
devices = [f"gpu:{i}" for i in range(len(CL.devices))]
from tinygrad.runtime.ops_gpu import CLDevice
devices = [f"gpu:{i}" for i in range(len(CLDevice.device_ids))]
world_size = len(devices)
# ensure that the batch size is divisible by the number of devices

5
test/test_copy_speed.py
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@ -51,9 +51,10 @@ class TestCopySpeed(unittest.TestCase):
t.to('cpu').realize()
@unittest.skipIf(CI, "CI doesn't have 6 GPUs")
@unittest.skipIf(Device.DEFAULT != "GPU", "only test this on GPU")
def testCopyCPUto6GPUs(self):
from tinygrad.runtime.ops_gpu import CL
if len(CL.devices) != 6: raise unittest.SkipTest("computer doesn't have 6 GPUs")
from tinygrad.runtime.ops_gpu import CLDevice
if len(CLDevice.device_ids) != 6: raise unittest.SkipTest("computer doesn't have 6 GPUs")
t = Tensor.rand(N, N, device="cpu").realize()
print(f"buffer: {t.nbytes()*1e-9:.2f} GB")
for _ in range(3):