GreatGBL

> 1e-4 might be too small ... > > If I understand correctly, the only difference between `mean` and `sum` is a scale of N (the count of samples in...

import torch import numpy as np import matplotlib.pyplot as plt import torch.nn.functional as F import torch.nn as nn from torch.utils.data import TensorDataset, DataLoader import math import torch from torch.optim import...

I copy from https://github.com/Soreepeong/XivAlexander/issues/679 I think more people may need a one-click copy version

I think the result should be loss2 = kldivergence(F.log_softmax(outputs, dim=0), F.softmax(outputs2, dim=0)) loss = loss + loss2.item()

> "C2S_ActionRequestGroundTargeted": "0x0260" > > should be: > > { "C2S_ActionRequest": "0x01d5", "C2S_ActionRequestGroundTargeted": "0x0260", "Common_UseOodleTcp": true, "PatchCode": [], "S2C_ActionEffect01": "0x01ca", "S2C_ActionEffect08": "0x031f", "S2C_ActionEffect16": "0x02b2", "S2C_ActionEffect24": "0x0101", "S2C_ActionEffect32": "0x01f6", "S2C_ActorCast": "0x0391",...

Thank you for your response. I have tested this, and it's not a version issue, as I successfully ran the 7B model directly. Here's the comparison between the new versions...

Thank you for your reply. I would like to ask about the 'device_map="auto"' variable modification. Specifically, should this variable be forcibly added to the method in the 【class TextGenerationPipeline(Pipeline)】 under...