ConvXd -> QuantConvXd fails when padding='same'

[nickfraser]

Simple repro:

import torch
import torch.nn as nn

from brevitas.graph.quantize import preprocess_for_quantize
from brevitas.graph.quantize import quantize

model = nn.Sequential(
    nn.Conv2d(2,3,kernel_size=3,padding='same')
)

print(type(model._modules['0'].stride))
gmodel = preprocess_for_quantize(model)
qmodel = quantize(gmodel)

with the following error message:

File "c:\cygwin64\home\nfraser\workspace\brevitas\src\brevitas\nn\quant_conv.py", line 135, in __init__
    if padding_mode == 'zeros' and padding == 'same' and stride > 1:
TypeError: '>' not supported between instances of 'tuple' and 'int'

[nickfraser]

Fixed in #1017.