yep, you can follow this code snippet as a temporary solution:
model = Conv1d()
w = torch.load("weight.pt")
new_w = torch.flatten(torch.normal(0, 1, w.shape))
org_w = torch.flatten(w)
for idx, a in enumerate(org_w):
    new_w[idx] = a
new_w = new_w.reshape(w.shape)
model.conv.weight.data = new_w
jit_model = torch.jit.script(model)
torch.jit.save(jit_model, "conv_2.pt")