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hotfix amd bf16 is supported case (#10039)
* hotfix amd and amd_llvm * bf16 not supported in ci * hotfix amd_llvm is not a device * remove default * dont gate on ci and amd_llvm * minor cleanup * skip bf16 tc test for amd_llvm
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@@ -1061,6 +1061,7 @@ class TestLinearizer(unittest.TestCase):
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@unittest.skipUnless(Device[Device.DEFAULT].renderer.tensor_cores, "test requires tensor cores")
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def test_tensor_cores(self):
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for tc in Device[Device.DEFAULT].renderer.tensor_cores:
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if CI and getenv("AMD_LLVM") and tc.dtype_in is dtypes.bfloat16: continue # TODO: compilation error in CI
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if not is_dtype_supported(tc.dtype_in) or not is_dtype_supported(tc.dtype_out): continue
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# for AMX, tc.dims[2] == 1 so reduceop is None thus tensor_cores are not triggered
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helper_tc_allclose(tc.dims[0], tc.dims[1], 2 if AMX else tc.dims[2], tc.dtype_in, tc.dtype_out, axis=0, tc_opt=0)
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@@ -1099,6 +1100,7 @@ class TestLinearizer(unittest.TestCase):
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@unittest.expectedFailure
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def test_tensor_cores_padded_amd(self):
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for tc in Device[Device.DEFAULT].renderer.tensor_cores:
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if CI and getenv("AMD_LLVM") and tc.dtype_in is dtypes.bfloat16: continue # TODO: compilation error in CI
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if not is_dtype_supported(tc.dtype_in) or not is_dtype_supported(tc.dtype_out): continue
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helper_tc_allclose(tc.dims[0]+(pad:=1), tc.dims[1]+pad, tc.dims[2]+pad, tc.dtype_in, tc.dtype_out, tc_opt=2)
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@@ -330,10 +330,10 @@ class Compiled:
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def is_dtype_supported(dtype:DType, device:Optional[str]=None) -> bool:
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if device is None: device = Device.DEFAULT
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if dtype == dtypes.bfloat16:
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if device in {"METAL", "AMD", "AMD_LLVM"}: return not CI
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if device == "METAL": return not CI
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if device in {"CUDA", "NV"}: return not CI and not getenv("PTX")
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if device in {"CPU", "LLVM"}: return not CI and platform.machine() in {"arm", "arm64", "aarch64", "x86_64", "amd64"}
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return False
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return device == "AMD"
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if dtype in dtypes.fp8s:
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# not supported yet - in progress
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return False
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