most of the testunit in tests package can't pass

[gameking157]

I have donwloaded the lastest version of seq2seq, but most of the testunit in tests package can't pass

for example run the test_topkdecoder.py
Error
Traceback (most recent call last):
File "/home/wds/.conda/envs/pytorch/lib/python3.6/unittest/case.py", line 59, in testPartExecutor
yield
File "/home/wds/.conda/envs/pytorch/lib/python3.6/unittest/case.py", line 605, in run
testMethod()
File "/home/wds/codes/pytorch-seq2seq/tests/test_topkdecoder.py", line 31, in test_k_1
output, _, other = decoder()
File "/home/wds/.conda/envs/pytorch/lib/python3.6/site-packages/torch/nn/modules/module.py", line 491, in call
result = self.forward(*input, **kwargs)
File "/home/wds/codes/pytorch-seq2seq/seq2seq/models/DecoderRNN.py", line 156, in forward
function=function)
File "/home/wds/codes/pytorch-seq2seq/seq2seq/models/DecoderRNN.py", line 96, in forward_step
embedded = self.embedding(input_var)
File "/home/wds/.conda/envs/pytorch/lib/python3.6/site-packages/torch/nn/modules/module.py", line 491, in call
result = self.forward(*input, **kwargs)
File "/home/wds/.conda/envs/pytorch/lib/python3.6/site-packages/torch/nn/modules/sparse.py", line 108, in forward
self.norm_type, self.scale_grad_by_freq, self.sparse)
File "/home/wds/.conda/envs/pytorch/lib/python3.6/site-packages/torch/nn/functional.py", line 1076, in embedding
return torch.embedding(weight, input, padding_idx, scale_grad_by_freq, sparse)
RuntimeError: Expected object of type torch.LongTensor but found type torch.cuda.LongTensor for argument #3 'index'

run test_decoder_rnn.py

Launching unittests with arguments python -m unittest /home/wds/codes/pytorch-seq2seq/tests/test_decoder_rnn.py in /home/wds/codes/pytorch-seq2seq/tests

Error
Traceback (most recent call last):
File "/home/wds/.conda/envs/pytorch/lib/python3.6/unittest/case.py", line 59, in testPartExecutor
yield
File "/home/wds/.conda/envs/pytorch/lib/python3.6/unittest/case.py", line 605, in run
testMethod()
File "/home/wds/codes/pytorch-seq2seq/tests/test_decoder_rnn.py", line 53, in test_dropout_WITH_NON_ZERO_PROB
output1, _, _ = rnn()
File "/home/wds/.conda/envs/pytorch/lib/python3.6/site-packages/torch/nn/modules/module.py", line 491, in call
result = self.forward(*input, **kwargs)
File "/home/wds/codes/pytorch-seq2seq/seq2seq/models/DecoderRNN.py", line 156, in forward
function=function)
File "/home/wds/codes/pytorch-seq2seq/seq2seq/models/DecoderRNN.py", line 96, in forward_step
embedded = self.embedding(input_var)
File "/home/wds/.conda/envs/pytorch/lib/python3.6/site-packages/torch/nn/modules/module.py", line 491, in call
result = self.forward(*input, **kwargs)
File "/home/wds/.conda/envs/pytorch/lib/python3.6/site-packages/torch/nn/modules/sparse.py", line 108, in forward
self.norm_type, self.scale_grad_by_freq, self.sparse)
File "/home/wds/.conda/envs/pytorch/lib/python3.6/site-packages/torch/nn/functional.py", line 1076, in embedding
return torch.embedding(weight, input, padding_idx, scale_grad_by_freq, sparse)
RuntimeError: Expected object of type torch.LongTensor but found type torch.cuda.LongTensor for argument #3 'index'

Error
Traceback (most recent call last):
File "/home/wds/.conda/envs/pytorch/lib/python3.6/unittest/case.py", line 59, in testPartExecutor
yield
File "/home/wds/.conda/envs/pytorch/lib/python3.6/unittest/case.py", line 605, in run
testMethod()
File "/home/wds/codes/pytorch-seq2seq/tests/test_decoder_rnn.py", line 41, in test_dropout_WITH_PROB_ZERO
output1, _, _ = rnn()
File "/home/wds/.conda/envs/pytorch/lib/python3.6/site-packages/torch/nn/modules/module.py", line 491, in call
result = self.forward(*input, **kwargs)
File "/home/wds/codes/pytorch-seq2seq/seq2seq/models/DecoderRNN.py", line 156, in forward
function=function)
File "/home/wds/codes/pytorch-seq2seq/seq2seq/models/DecoderRNN.py", line 96, in forward_step
embedded = self.embedding(input_var)
File "/home/wds/.conda/envs/pytorch/lib/python3.6/site-packages/torch/nn/modules/module.py", line 491, in call
result = self.forward(*input, **kwargs)
File "/home/wds/.conda/envs/pytorch/lib/python3.6/site-packages/torch/nn/modules/sparse.py", line 108, in forward
self.norm_type, self.scale_grad_by_freq, self.sparse)
File "/home/wds/.conda/envs/pytorch/lib/python3.6/site-packages/torch/nn/functional.py", line 1076, in embedding
return torch.embedding(weight, input, padding_idx, scale_grad_by_freq, sparse)
RuntimeError: Expected object of type torch.LongTensor but found type torch.cuda.LongTensor for argument #3 'index'

Error
Traceback (most recent call last):
File "/home/wds/.conda/envs/pytorch/lib/python3.6/unittest/case.py", line 59, in testPartExecutor
yield
File "/home/wds/.conda/envs/pytorch/lib/python3.6/unittest/case.py", line 605, in run
testMethod()
File "/home/wds/codes/pytorch-seq2seq/tests/test_decoder_rnn.py", line 30, in test_input_dropout_WITH_NON_ZERO_PROB
output1, _, _ = rnn()
File "/home/wds/.conda/envs/pytorch/lib/python3.6/site-packages/torch/nn/modules/module.py", line 491, in call
result = self.forward(*input, **kwargs)
File "/home/wds/codes/pytorch-seq2seq/seq2seq/models/DecoderRNN.py", line 156, in forward
function=function)
File "/home/wds/codes/pytorch-seq2seq/seq2seq/models/DecoderRNN.py", line 96, in forward_step
embedded = self.embedding(input_var)
File "/home/wds/.conda/envs/pytorch/lib/python3.6/site-packages/torch/nn/modules/module.py", line 491, in call
result = self.forward(*input, **kwargs)
File "/home/wds/.conda/envs/pytorch/lib/python3.6/site-packages/torch/nn/modules/sparse.py", line 108, in forward
self.norm_type, self.scale_grad_by_freq, self.sparse)
File "/home/wds/.conda/envs/pytorch/lib/python3.6/site-packages/torch/nn/functional.py", line 1076, in embedding
return torch.embedding(weight, input, padding_idx, scale_grad_by_freq, sparse)
RuntimeError: Expected object of type torch.LongTensor but found type torch.cuda.LongTensor for argument #3 'index'

Error
Traceback (most recent call last):
File "/home/wds/.conda/envs/pytorch/lib/python3.6/unittest/case.py", line 59, in testPartExecutor
yield
File "/home/wds/.conda/envs/pytorch/lib/python3.6/unittest/case.py", line 605, in run
testMethod()
File "/home/wds/codes/pytorch-seq2seq/tests/test_decoder_rnn.py", line 18, in test_input_dropout_WITH_PROB_ZERO
output1, _, _ = rnn()
File "/home/wds/.conda/envs/pytorch/lib/python3.6/site-packages/torch/nn/modules/module.py", line 491, in call
result = self.forward(*input, **kwargs)
File "/home/wds/codes/pytorch-seq2seq/seq2seq/models/DecoderRNN.py", line 156, in forward
function=function)
File "/home/wds/codes/pytorch-seq2seq/seq2seq/models/DecoderRNN.py", line 96, in forward_step
embedded = self.embedding(input_var)
File "/home/wds/.conda/envs/pytorch/lib/python3.6/site-packages/torch/nn/modules/module.py", line 491, in call
result = self.forward(*input, **kwargs)
File "/home/wds/.conda/envs/pytorch/lib/python3.6/site-packages/torch/nn/modules/sparse.py", line 108, in forward
self.norm_type, self.scale_grad_by_freq, self.sparse)
File "/home/wds/.conda/envs/pytorch/lib/python3.6/site-packages/torch/nn/functional.py", line 1076, in embedding
return torch.embedding(weight, input, padding_idx, scale_grad_by_freq, sparse)
RuntimeError: Expected object of type torch.LongTensor but found type torch.cuda.LongTensor for argument #3 'index'

Ran 4 tests in 3.844s

FAILED (errors=4)
Process finished with exit code 1