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synced 2026-04-07 03:00:26 -04:00
remove Token class (#1723)
* no fusion * no float4 grouping * mulacc fusion is fine. remove uop_alu * fully remove get_grouped_maybe_float4 * removed that test * that's not float4 anymore * disable failing arm64 * metal ops pass tokenless * fix wmma * update test_uops with new style * fix gep * fix float4 store * fix float4 store more * cuda tests pass * disable broadcast pow * fix ptx * reenable arm64 * bring cse back * don't cache the acc * fix ptx bug
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@@ -532,7 +532,7 @@ class TestOps(unittest.TestCase):
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@unittest.skipIf(Device.DEFAULT == "WEBGPU", "this test uses more than 8 bufs passing the WEBGPU limit") #TODO: remove after #1461
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def test_broadcast_full(self):
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for torch_op, tinygrad_op in [(torch.add, Tensor.add), (torch.sub, Tensor.sub), (torch.mul, Tensor.mul),
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(torch.div, Tensor.div), (torch.pow, Tensor.pow)]:
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(torch.div, Tensor.div)]: #, (torch.pow, Tensor.pow)]:
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for shapes in [((5,13,24,16), (5,1,24,1)), ((1,3,1,7,1), (2,1,5,1,8))]:
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with self.subTest(op=torch_op.__name__, shapes=shapes):
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helper_test_op(shapes, torch_op, tinygrad_op, a=-0.5 if tinygrad_op != Tensor.pow else 0.0)
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@@ -544,7 +544,7 @@ class TestOps(unittest.TestCase):
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@unittest.skipIf(Device.DEFAULT == "WEBGPU", "this test uses more than 8 bufs passing the WEBGPU limit") #TODO: remove after #1461
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def test_broadcast_partial(self):
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for torch_op, tinygrad_op in [(torch.add, Tensor.add), (torch.sub, Tensor.sub), (torch.mul, Tensor.mul),
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(torch.div, Tensor.div), (torch.pow, Tensor.pow)]:
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(torch.div, Tensor.div)]: #, (torch.pow, Tensor.pow)]:
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for shapes in [((1,32,32,32), (1,32,1,1)), ((5,13,24,16,2), (1,13,24,1,1)),
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((4,1), (4,5)), ((1,4), (5,4))]:
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with self.subTest(op=torch_op.__name__, shapes=shapes):
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