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d3378010ee
* schedule_with_vars -> linear_with_vars in tests * tests batch 1 * batch 2 * estimate_uop * simpler * rm
25 lines
1.0 KiB
Python
25 lines
1.0 KiB
Python
import unittest, io
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from contextlib import redirect_stdout
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from tinygrad import Tensor, Device
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from tinygrad.helpers import Target
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from tinygrad.renderer.nir import LVPRenderer
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from tinygrad.engine.realize import get_program
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@unittest.skipIf(Device.DEFAULT != "CPU", "only run on CPU")
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class TestCPU(unittest.TestCase):
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def test_arch_feats(self):
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ast = (Tensor.empty(16) + Tensor.empty(16)).schedule_linear().src[-1].src[0]
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for ren in Device[Device.DEFAULT].renderers:
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for arch, expect_vmov in [("x86_64,x86-64,avx", True), ("x86_64,x86-64,-avx", False)]:
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with self.subTest(arch=arch):
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if ren is LVPRenderer: continue # LVP does not play nice with cross compilation
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r = ren(Target(device="CPU", arch=arch))
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p = get_program(ast, r)
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lib = r.compiler.compile(p.src)
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out = io.StringIO()
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with redirect_stdout(out): r.compiler.disassemble(lib)
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self.assertEqual("vmov" in out.getvalue(), expect_vmov, out.getvalue())
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if __name__ == '__main__':
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unittest.main()
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