【发布时间】:2023-02-03 15:32:31
【问题描述】:
import torch
import torch.nn as nn
import torch.optim as optim
answer = input()
class YourModelClass(nn.Module):
def __init__(self, input_size, hidden_size, num_layers, output_size):
super().__init__()
self.lstm = nn.LSTM(input_size, hidden_size, num_layers)
self.fc = nn.Linear(hidden_size, output_size)
def forward(self, x):
out, (h_n, c_n) = self.lstm(x)
out = self.fc(out[:, -1, :])
return out
model = YourModelClass(input_size, hidden_size, num_layers, output_size)
model.load_state_dict(torch.load('model.ckpt'))
model.eval()
start_index = answer
generated_text = int2char[start_index.item()]
num_generated = 10
with torch.no_grad():
for i in range(num_generated):
input_seq = torch.tensor([char2int[generated_text[-1]]]).unsqueeze(0)
output = model(input_seq)
output_idx = torch.argmax(output.squeeze()).item()
generated_text += int2char[output_idx]
print(generated_text)
我无法定义 input_size、hidden_size、num_layers、output_size
编辑给我一个错误: 模型 = YourModelClass(input_size, hidden_size, num_layers, output_size) NameError:未定义名称“input_size”
【问题讨论】:
标签: python variables pytorch torch unspecified