forked from tinygrad/tinygrad
cuda fp8 (#12782)
* cuda fp8 * tensor core * tc test * clean * clean pm
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@@ -177,6 +177,11 @@ class PythonProgram:
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def b_elem(x, col, k, goff): return x[k%2 + (k//8)*2][goff + (k//2)%4 + col*4]
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ul[i] = wmma_helper(32, 16, 8, 4, 4, a_elem, b_elem, c_map)
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elif dims == (8,16,32):
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def a_elem(x, k, row, goff): return x[k%4 + (row//8)*4 + (k//16)*8][goff + (k//4)%4 + (row%8)*4]
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def b_elem(x, col, k, goff): return x[k%4 + (k//16)*4][goff + (k//4)%4 + col*4]
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ul[i] = wmma_helper(32, 32, 16, 8, 4, a_elem, b_elem, c_map)
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elif dims == (8,16,8) and dtype_in == dtypes.half:
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def a_elem(x, k, row, goff): return x[k%2 + (row//8)*2][goff + k//2 + (row%8)*4]
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def b_elem(x, col, k, goff): return x[k%2][goff + k//2 + col*4]
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@@ -220,6 +225,7 @@ class PythonRenderer(Renderer):
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case "AMD_RDNA4": self.device, self.tensor_cores = "AMD", tc.amd_rdna4
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case "CUDA": self.device, self.tensor_cores = "CUDA", tc.cuda_sm80
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case "CUDA_SM75": self.device, self.tensor_cores = "CUDA", tc.cuda_sm75
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case "CUDA_SM89": self.device, self.tensor_cores = "CUDA", tc.cuda_sm89
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case "INTEL": self.device, self.suffix, self.tensor_cores = "INTEL", "INTEL", tc.intel
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case "AMX": self.device, self.tensor_cores = "CPU", tc.amx
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case "": pass
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