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use getattr in dtype.truncate [pr] (#13788)
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+2
-5
@@ -319,11 +319,8 @@ def fp8_to_float(x: int, dtype: DType) -> float:
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truncate: dict[DType, Callable] = {dtypes.bool: bool,
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dtypes.float16: float_to_fp16, dtypes.bfloat16: lambda x: float_to_bf16(float(x)),
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**{fp8: (lambda x, dtype=fp8: fp8_to_float(float_to_fp8(x, dtype), dtype)) for fp8 in dtypes.fp8s},
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dtypes.float32: lambda x: ctypes.c_float(x).value, dtypes.float64: lambda x: ctypes.c_double(x).value,
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dtypes.uint8: lambda x: ctypes.c_uint8(x).value, dtypes.uint16: lambda x: ctypes.c_uint16(x).value,
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dtypes.uint32: lambda x: ctypes.c_uint32(x).value, dtypes.uint64: lambda x: ctypes.c_uint64(x).value,
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dtypes.int8: lambda x: ctypes.c_int8(x).value, dtypes.int16: lambda x: ctypes.c_int16(x).value, dtypes.int32: lambda x: ctypes.c_int32(x).value,
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dtypes.int64: lambda x: ctypes.c_int64(x).value}
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**{getattr(dtypes, n): (lambda x, c=getattr(ctypes, f'c_{n}'): c(x).value)
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for n in ('float', 'double', 'int8', 'int16', 'int32', 'int64', 'uint8', 'uint16', 'uint32', 'uint64')}}
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# numpy and torch dtype interop
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