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import torch
import torch.nn.functional as F
def to_float8(x, dtype=torch.float8_e4m3fn):
finfo = torch.finfo(dtype)
# Calculate the scale as dtype max divided by absmax
scale = finfo.max / x.abs().max().clamp(min=1e-12)
# scale and clamp the tensor to bring it to
# the representative range of float8 data type
# (as default cast is unsaturated)