Open sankhoroy opened 5 years ago
Hello, I also have this problem. Have you solved this problem?
We tried on smaller size matrices. It worked. But no permanent solution we have implemented.
I also have this problem. When I use 20ng, the code at line num 74 give a shape (61603, 61603) numpy matrix, which is so big that caused the memory error.
In https://github.com/yao8839836/fast_text_gcn/blob/master/pubmed_inductive_appr2layers.py line number 74 I have features sparse matrix of size 47,000 x 47,000.
On executing I am having memory error.
features = nontuple_preprocess_features(features).todense() train_features = features[tmp_index]
Error Mesage :
` features = nontuple_preprocess_features(features).todense() Traceback (most recent call last):
File "", line 1, in
features = nontuple_preprocess_features(features).todense()
File "/home/hemanggoyal/anaconda/lib/python3.7/site-packages/scipy/sparse/base.py", line 848, in todense return asmatrix(self.toarray(order=order, out=out))
File "/home/hemanggoyal/anaconda/lib/python3.7/site-packages/scipy/sparse/compressed.py", line 1024, in toarray out = self._process_toarray_args(order, out)
File "/home/hemanggoyal/anaconda/lib/python3.7/site-packages/scipy/sparse/base.py", line 1186, in _process_toarray_args return np.zeros(self.shape, dtype=self.dtype, order=order)
MemoryError `