Printed code for Python's fd.ops.full is incorrect

[IvanYashchuk]

from nvfuser import FusionDefinition, DataType
import torch

def nvfuser_fusion_id3(fd : FusionDefinition) -> None :
    C0 = fd.define_constant(0, dtype=DataType.Int)
    T1 = fd.ops.full([4, 4], C0, dtype=DataType.Double)
    fd.add_output(T1)

with FusionDefinition() as fd:
    nvfuser_fusion_id3(fd)

out = fd.execute([])

print(fd) gives:

def nvfuser_fusion_id3(fd : FusionDefinition) -> None :
    S0 = fd.define_constant(0, dtype=DataType.Int)
    T1 = fd.ops.full(S0, shape=[4, 4], dtype=DataType.Double)
    fd.add_output(T1)

Above code is invalid because full's signature is full(size, fill_value, dtype).

[kevinstephano]

I think the fix needs to wait for Jie's python number support work. I thought about adding a temporary solution that only works for float values but Jie already has some PR's created in the old devel fork.