
Traceback (most recent call last):


 "/tmp/pip-build-cth80kky/PyICU/setup.py", line 66, in <module>

ICU_VERSION = check_output(('icu-config', '--version')).strip()


 "/tmp/pip-build-cth80kky/PyICU/setup.py", line 19, in check_output

return subprocess_check_output(popenargs)


 "/usr/lib64/python3.6/subprocess.py", line 356, in check_output

**kwargs).stdout


 "/usr/lib64/python3.6/subprocess.py", line 423, in run

with Popen(*popenargs, **kwargs) as process:


 "/usr/lib64/python3.6/subprocess.py", line 729, in __init__

restore_signals, start_new_session)


 "/usr/lib64/python3.6/subprocess.py", line 1364, in _execute_child

raise child_exception_type(errno_num, err_msg, err_filename)


NotFoundError: [Errno 2] No such file or directory: 'icu-config': 'icu-config'

Traceback (most recent call last):


 "link_predict.py", line 249, in <module>

main(args)


 "link_predict.py", line 164, in main

loss = model.get_loss(g, data, labels)


 "link_predict.py", line 75, in get_loss

embedding = self.forward(g)


 "link_predict.py", line 62, in forward

return self.rgcn.forward(g)


 "C:\Users\t-kadas\dgl\examples\pytorch\rgcn\model.py", line 54, in forward

layer(g)


 "C:\ProgramData\Anaconda3\envs\nl\lib\site-packages\torch\nn\modules\module.py", line 493, in __call__

result = self.forward(*input, **kwargs)


 "link_predict.py", line 31, in forward

g.ndata['h'] = self.embedding(node_id)


 "C:\ProgramData\Anaconda3\envs\nl\lib\site-packages\torch\nn\modules\module.py", line 493, in __call__

result = self.forward(*input, **kwargs)


 "C:\ProgramData\Anaconda3\envs\nl\lib\site-packages\torch\nn\modules\sparse.py", line 117, in forward

self.norm_type, self.scale_grad_by_freq, self.sparse)


 "C:\ProgramData\Anaconda3\envs\nl\lib\site-packages\torch\nn\functional.py", line 1506, in embedding

return torch.embedding(weight, input, padding_idx, scale_grad_by_freq, sparse)
RuntimeError: Expected tensor for argument #1 'indices' to have scalar type Long; but got CUDAType instead (while checking arguments for embedding)
