I save a pytorch ScriptModule and load it using libtorch. However I encountered the following problem
I use linux subsystem under win10 and I use pytorch 1.2.
To reproduce my problem, you could run this piece of python code to save a pt model
import torch
import torch.nn as nn
# TODO: https://github.com/pytorch/pytorch/issues/23930
class test(torch.jit.ScriptModule):
def __init__(self, vocab_size=10, rnn_dims=512):
super().__init__()
self.word_embeds = nn.Embedding(vocab_size, rnn_dims)
self.emb_drop = nn.Dropout(0.1)
self.rnn = nn.LSTM(input_size=rnn_dims, hidden_size=rnn_dims, batch_first=True,
num_layers=2, dropout=0.1)
# delattr(self.rnn, 'forward_packed')
@torch.jit.script_method
def forward(self, x):
h1 = (torch.zeros(2, 1, 512), torch.zeros(2, 1, 512))
embeds = self.emb_drop(self.word_embeds(x))
out, h1 = self.rnn(embeds, h1)
return h1
model = test()
input = torch.ones((1,3)).long()
output = model(input)
print('output', output)
# torch.onnx.export(model, # model being run
# input,
# 'test.onnx',
# example_outputs=output)
#torch.jit.trace(model, (torch.ones((1,3)).long(), torch.ones((3,1))), check_trace=False)
model.save('lstm_test.pt')
Then load the model in libtorch.
I don't know why I have this error. I don't use PackedSequence at all. Hope some could help me out.
I know what's wrong now. The libtorch version is of wrong version on the official website. It's ok now when I use the correct libtorch 1.2. Refer to issue https://github.com/pytorch/pytorch/issues/24382