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Due to large training dataset I had to use the preprocess_shards in order to split it. When running the train.lua i get the following error:
loading data...
/home/sergio/torch/install/bin/luajit: /home/sergio/torch/install/share/lua/5.1/hdf5/group.lua:312: HDF5Group:read() - no such child 'num_source_features' for [HDF5Group 33554432 /]
Seems like 'num_source_features' is used in preprocess but not in shards.
Could you please advice? Thanks
The text was updated successfully, but these errors were encountered:
Unfortunately, preprocesor-shards.py still lags behind in terms of features due to heavy code duplication with preprocess.lua. In the mean time, you can use the updated implementation from @mdasadul:
Due to large training dataset I had to use the preprocess_shards in order to split it. When running the train.lua i get the following error:
loading data...
/home/sergio/torch/install/bin/luajit: /home/sergio/torch/install/share/lua/5.1/hdf5/group.lua:312: HDF5Group:read() - no such child 'num_source_features' for [HDF5Group 33554432 /]
Seems like 'num_source_features' is used in preprocess but not in shards.
Could you please advice? Thanks
The text was updated successfully, but these errors were encountered: