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Messaoudi Rayan
Kaggle Phytoplankton
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0c184d40
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0c184d40
authored
2 years ago
by
Andriamasy Yandi
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INFO:root:====> Test dataloader
INFO:root:= Dataloaders
INFO:root: - Dataset creation
INFO:root:The loaded dataset contains 25 latitudes, 37 longitudes, 28 depths and 2222 time points
INFO:root:Generating the index
INFO:root:Loading the index from sub_2CMEMS-MEDSEA-2010-2016-training.nc.bin_index.idx
INFO:root: - Loaded a dataset with 50154984 samples
INFO:root: - Splitting the data in training and validation sets
INFO:root:Generating the subset files from 50154984 samples
INFO:root: - Subset dataset
INFO:root:The loaded dataset contains 25 latitudes, 37 longitudes, 28 depths and 2222 time points
INFO:root:Loading the index from sub_2CMEMS-MEDSEA-2010-2016-training.nc.bin_index.idx
INFO:root:The loaded dataset contains 25 latitudes, 37 longitudes, 28 depths and 2222 time points
INFO:root:Loading the index from sub_2CMEMS-MEDSEA-2010-2016-training.nc.bin_index.idx
INFO:root: - The train fold has 40123681 samples
INFO:root: - The valid fold has 10031303 samples
INFO:root:Got a minibatch of size torch.Size([128, 1, 18]) -> torch.Size([128, 1])
INFO:root:====> Test dataloader
INFO:root:= Dataloaders
INFO:root: - Dataset creation
INFO:root:The loaded dataset contains 25 latitudes, 37 longitudes, 28 depths and 2222 time points
INFO:root:Generating the index
INFO:root:Loading the index from sub_2CMEMS-MEDSEA-2010-2016-training.nc.bin_index.idx
INFO:root: - Loaded a dataset with 50154984 samples
INFO:root: - Splitting the data in training and validation sets
INFO:root:Generating the subset files from 50154984 samples
INFO:root: - Subset dataset
INFO:root:The loaded dataset contains 25 latitudes, 37 longitudes, 28 depths and 2222 time points
INFO:root:Loading the index from sub_2CMEMS-MEDSEA-2010-2016-training.nc.bin_index.idx
INFO:root:The loaded dataset contains 25 latitudes, 37 longitudes, 28 depths and 2222 time points
INFO:root:Loading the index from sub_2CMEMS-MEDSEA-2010-2016-training.nc.bin_index.idx
INFO:root: - The train fold has 40125966 samples
INFO:root: - The valid fold has 10029018 samples
INFO:root:Got a minibatch of size torch.Size([128, 1, 18]) -> torch.Size([128, 1])
INFO:root:====> Test dataloader
INFO:root:= Dataloaders
INFO:root: - Dataset creation
INFO:root:The loaded dataset contains 25 latitudes, 37 longitudes, 28 depths and 2222 time points
INFO:root:Generating the index
INFO:root:====> Test dataloader
INFO:root:= Dataloaders
INFO:root: - Dataset creation
INFO:root:The loaded dataset contains 25 latitudes, 37 longitudes, 28 depths and 2222 time points
INFO:root:Generating the index
INFO:root:====> Test dataloader
INFO:root:= Dataloaders
INFO:root: - Dataset creation
INFO:root:The loaded dataset contains 25 latitudes, 37 longitudes, 28 depths and 2222 time points
INFO:root:Generating the index
INFO:root:Loading the index from sub_2CMEMS-MEDSEA-2010-2016-training.nc.bin_index.idx
INFO:root: - Loaded a dataset with 50154984 samples
INFO:root: - Splitting the data in training and validation sets
INFO:root:Generating the subset files from 50154984 samples
INFO:root: - Subset dataset
INFO:root:The loaded dataset contains 25 latitudes, 37 longitudes, 28 depths and 2222 time points
INFO:root:Loading the index from sub_2CMEMS-MEDSEA-2010-2016-training.nc.bin_index.idx
INFO:root:The loaded dataset contains 25 latitudes, 37 longitudes, 28 depths and 2222 time points
INFO:root:Loading the index from sub_2CMEMS-MEDSEA-2010-2016-training.nc.bin_index.idx
INFO:root: - The train fold has 40126890 samples
INFO:root: - The valid fold has 10028094 samples
INFO:root:Got a minibatch of size torch.Size([128, 1, 18]) -> torch.Size([128, 1])
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