mirror of https://github.com/commaai/tinygrad.git
38 lines
1.1 KiB
Python
38 lines
1.1 KiB
Python
import unittest
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from tinygrad.helpers import Timing, CI, Profiling
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from tinygrad.tensor import Tensor
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from tinygrad.ops import LoadOps
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from tinygrad.codegen.linearizer import Linearizer
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class TestWinograd(unittest.TestCase):
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def setUp(self):
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self.old = Tensor.wino
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Tensor.wino = 1
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def tearDown(self): Tensor.wino = self.old
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def test_speed(self):
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x = Tensor.empty(1,4,9,9)
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w = Tensor.empty(4,4,3,3)
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with Timing("running conv: "):
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out = Tensor.conv2d(x, w)
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with Timing("scheduling: "):
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sched = out.lazydata.schedule()
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for i,s in enumerate(sched):
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if s.ast.op in LoadOps: continue
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ops = s.ast.get_lazyops()
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with Timing(f"linearize {i} with {len(ops):4d} ops: "):
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l = Linearizer(s.ast)
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l.hand_coded_optimizations()
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l.linearize()
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def test_profile(self):
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x,w = Tensor.rand(1,4,9,9).realize(), Tensor.rand(4,4,3,3).realize()
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with Profiling(enabled=not CI, sort='time'):
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out = Tensor.conv2d(x,w).realize()
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out.numpy()
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if __name__ == '__main__':
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unittest.main(verbosity=2) |