forked from tinygrad/tinygrad
test permuted input in custom Ops.PROGRAM test (#17279)
* test permuted input in custom Ops.PROGRAM test * dtype
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@@ -421,19 +421,16 @@ class TestCustomKernel(unittest.TestCase):
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@Context(DEV="CPU")
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def test_simple_from_source(self):
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a = Tensor([0., 1., 2.]).realize()
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src = "void test_src(float* restrict a) { a[0] = 1.0; }"
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a = Tensor.arange(4).clone().realize()
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src = "void test_src(int* restrict a) { a[0] = 1; }"
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# TODO: it currently requires a compiler for Ops.BINARY
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from tinygrad.device import Device
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binary = Device[a.device].renderer.compiler.compile(src)
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def custom_src_kernel(A:UOp) -> UOp:
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sink = UOp.sink(A, arg=KernelInfo(name="test_src"))
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return UOp(Ops.PROGRAM, src=(sink, UOp(Ops.LINEAR, src=tuple(sink.toposort())),
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UOp(Ops.SOURCE, arg=src), UOp(Ops.BINARY, arg=binary)))
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a = Tensor.custom_kernel(a, fxn=custom_src_kernel)[0]
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self.assertEqual(a.tolist(), [1., 1., 2.])
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return UOp(Ops.PROGRAM, src=(sink, UOp(Ops.LINEAR, src=tuple(sink.toposort())), UOp(Ops.SOURCE, arg=src), UOp(Ops.BINARY, arg=binary)))
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a = Tensor.custom_kernel(a.reshape(2, 2).T, fxn=custom_src_kernel)[0]
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self.assertEqual(a.tolist(), [[1, 2], [1, 3]])
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class TestUOpReduce(unittest.TestCase):
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def test_uop_sum(self):
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