From deda3a60b3168b8f8941fea3e79a380116a30db3 Mon Sep 17 00:00:00 2001
From: Yandi <yandirzm@gmail.com>
Date: Tue, 31 Jan 2023 22:01:50 +0100
Subject: [PATCH] preparing for batch job rnn 73 days
---
create_submission.py | 2 +-
job.py | 4 +-
logs/RNN_9/best_model.pt | Bin 0 -> 40312 bytes
logs/main_unit_test.log | 363 +++++++++++++++++++++++++++++++++++++++
main.py | 9 +-
model.py | 27 +++
train.py | 1 +
train_indices.subset | Bin 144388 -> 144140 bytes
valid_indices.subset | Bin 36188 -> 36436 bytes
wandb/debug-internal.log | 2 +-
wandb/debug.log | 2 +-
wandb/latest-run | 2 +-
12 files changed, 403 insertions(+), 9 deletions(-)
create mode 100644 logs/RNN_9/best_model.pt
diff --git a/create_submission.py b/create_submission.py
index cdb5a0f..2716653 100644
--- a/create_submission.py
+++ b/create_submission.py
@@ -37,7 +37,7 @@ def create_submission(model, transform, device):
# is not using the temporal context, this is here arbitrarily chosen
# However, note that it must be a divisor of the total number of days
# in the 2017 year , either 1, 5, 73 or 365
- num_days = 365
+ num_days = 73
num_workers = 7
use_cuda = torch.cuda.is_available()
diff --git a/job.py b/job.py
index 790df19..e0cd03e 100644
--- a/job.py
+++ b/job.py
@@ -75,7 +75,9 @@ parser.add_argument("--model_name",
# Ensure the log directory exists
os.system("mkdir -p logslurms")
+args = parser.parse_args()
+
time_wall = {"no_limit": "48:00:00","hour" : "1:00:00", "half" : "0:00:00", "quarter" : "0:00:15"}
# Launch the batch jobs
-submit_job(makejob(commit_id, "cnn", 1, args.user, time_wall[args.time_wall]))
\ No newline at end of file
+submit_job(makejob(commit_id, args.model_name, 1, args.user, time_wall[args.time_wall]))
\ No newline at end of file
diff --git a/logs/RNN_9/best_model.pt b/logs/RNN_9/best_model.pt
new file mode 100644
index 0000000000000000000000000000000000000000..e65e60cc2a9996d1c070bcace8d2b145d68eb7a8
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diff --git a/logs/main_unit_test.log b/logs/main_unit_test.log
index 7bf04fd..02f60ce 100644
--- a/logs/main_unit_test.log
+++ b/logs/main_unit_test.log
@@ -943,3 +943,366 @@ INFO:root:The loaded dataset contains 25 latitudes, 37 longitudes, 28 depths and
INFO:root:Loading the index from sub_2CMEMS-MEDSEA-2010-2016-training.nc.bin_index.idx
INFO:root: - The train fold has 36097 samples
INFO:root: - The valid fold has 9047 samples
+INFO:root:= Dataloaders for mean and standard deviation
+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 45144 samples
+INFO:root: - Splitting the data in training and validation sets
+INFO:root:Generating the subset files from 45144 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 train fold has 36172 samples
+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 45144 samples
+INFO:root: - Splitting the data in training and validation sets
+INFO:root:Generating the subset files from 45144 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 36304 samples
+INFO:root: - The valid fold has 8840 samples
+INFO:root:= Dataloaders for mean and standard deviation
+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 45144 samples
+INFO:root: - Splitting the data in training and validation sets
+INFO:root:Generating the subset files from 45144 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 train fold has 36173 samples
+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 45144 samples
+INFO:root: - Splitting the data in training and validation sets
+INFO:root:Generating the subset files from 45144 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 35937 samples
+INFO:root: - The valid fold has 9207 samples
+INFO:root:= Dataloaders for mean and standard deviation
+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 45144 samples
+INFO:root: - Splitting the data in training and validation sets
+INFO:root:Generating the subset files from 45144 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 train fold has 36163 samples
+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 45144 samples
+INFO:root: - Splitting the data in training and validation sets
+INFO:root:Generating the subset files from 45144 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 36186 samples
+INFO:root: - The valid fold has 8958 samples
+INFO:root:= Dataloaders for mean and standard deviation
+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 45144 samples
+INFO:root: - Splitting the data in training and validation sets
+INFO:root:Generating the subset files from 45144 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 train fold has 36232 samples
+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 45144 samples
+INFO:root: - Splitting the data in training and validation sets
+INFO:root:Generating the subset files from 45144 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 36137 samples
+INFO:root: - The valid fold has 9007 samples
+INFO:root:= Dataloaders for mean and standard deviation
+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 45144 samples
+INFO:root: - Splitting the data in training and validation sets
+INFO:root:Generating the subset files from 45144 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 train fold has 36187 samples
+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 45144 samples
+INFO:root: - Splitting the data in training and validation sets
+INFO:root:Generating the subset files from 45144 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 36114 samples
+INFO:root: - The valid fold has 9030 samples
+INFO:root:= Dataloaders for mean and standard deviation
+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 45144 samples
+INFO:root: - Splitting the data in training and validation sets
+INFO:root:Generating the subset files from 45144 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 train fold has 36068 samples
+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 45144 samples
+INFO:root: - Splitting the data in training and validation sets
+INFO:root:Generating the subset files from 45144 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 36081 samples
+INFO:root: - The valid fold has 9063 samples
+INFO:root:= Dataloaders for mean and standard deviation
+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 45144 samples
+INFO:root: - Splitting the data in training and validation sets
+INFO:root:Generating the subset files from 45144 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 train fold has 35978 samples
+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 45144 samples
+INFO:root: - Splitting the data in training and validation sets
+INFO:root:Generating the subset files from 45144 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 36240 samples
+INFO:root: - The valid fold has 8904 samples
+INFO:root:= Dataloaders for mean and standard deviation
+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 45144 samples
+INFO:root: - Splitting the data in training and validation sets
+INFO:root:Generating the subset files from 45144 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 train fold has 36126 samples
+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 45144 samples
+INFO:root: - Splitting the data in training and validation sets
+INFO:root:Generating the subset files from 45144 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 36102 samples
+INFO:root: - The valid fold has 9042 samples
+INFO:root:= Dataloaders for mean and standard deviation
+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 45144 samples
+INFO:root: - Splitting the data in training and validation sets
+INFO:root:Generating the subset files from 45144 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 train fold has 36141 samples
+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 45144 samples
+INFO:root: - Splitting the data in training and validation sets
+INFO:root:Generating the subset files from 45144 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 36175 samples
+INFO:root: - The valid fold has 8969 samples
+INFO:root:= Dataloaders for mean and standard deviation
+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 45144 samples
+INFO:root: - Splitting the data in training and validation sets
+INFO:root:Generating the subset files from 45144 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 train fold has 36208 samples
+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 45144 samples
+INFO:root: - Splitting the data in training and validation sets
+INFO:root:Generating the subset files from 45144 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 36066 samples
+INFO:root: - The valid fold has 9078 samples
+INFO:root:= Dataloaders for mean and standard deviation
+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 45144 samples
+INFO:root: - Splitting the data in training and validation sets
+INFO:root:Generating the subset files from 45144 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 train fold has 36021 samples
+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 45144 samples
+INFO:root: - Splitting the data in training and validation sets
+INFO:root:Generating the subset files from 45144 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 36116 samples
+INFO:root: - The valid fold has 9028 samples
+INFO:root:= Dataloaders for mean and standard deviation
+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 45144 samples
+INFO:root: - Splitting the data in training and validation sets
+INFO:root:Generating the subset files from 45144 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 train fold has 36234 samples
+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 45144 samples
+INFO:root: - Splitting the data in training and validation sets
+INFO:root:Generating the subset files from 45144 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 36174 samples
+INFO:root: - The valid fold has 8970 samples
+INFO:root:= Dataloaders for mean and standard deviation
+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 45144 samples
+INFO:root: - Splitting the data in training and validation sets
+INFO:root:Generating the subset files from 45144 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 train fold has 36101 samples
+INFO:root:= Dataloaders for mean and standard deviation
+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 45144 samples
+INFO:root: - Splitting the data in training and validation sets
+INFO:root:Generating the subset files from 45144 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 train fold has 36128 samples
+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 45144 samples
+INFO:root: - Splitting the data in training and validation sets
+INFO:root:Generating the subset files from 45144 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 36035 samples
+INFO:root: - The valid fold has 9109 samples
diff --git a/main.py b/main.py
index abb6709..34d114d 100644
--- a/main.py
+++ b/main.py
@@ -33,18 +33,19 @@ if __name__ == "__main__":
parser.add_argument(
"--rootDir",
+ default=None,
help="Directory in which the log files will be stored"
)
args = parser.parse_args()
+ config_file = open("config.yml")
+ cfg = yaml.load(config_file)
- rootDir = cfg["LogDir"] if eval(args.rootDir) != None else args.rootDir
+ rootDir = args.rootDir if args.rootDir != None else cfg["LogDir"]
logging.basicConfig(filename= rootDir + 'main_unit_test.log', level=logging.INFO)
- config_file = open("config.yml")
- cfg = yaml.load(config_file)
use_cuda = torch.cuda.is_available()
trainpath = cfg["Dataset"]["_DEFAULT_TRAIN_FILEPATH"]
@@ -71,7 +72,7 @@ if __name__ == "__main__":
MAX = eval(cfg["ApproximativeMaxi"])
MIN = eval(cfg["ApproximativeMini"])
else :
- MEAN, STD, MAX, MIN = get_stats_train_dataset(trainpath,
+ MEAN, STD, MAX, MIN = dataloader.get_stats_train_dataset(trainpath,
num_days,
batch_size,
num_workers,
diff --git a/model.py b/model.py
index 260b889..8276ecb 100644
--- a/model.py
+++ b/model.py
@@ -3,6 +3,7 @@ import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.autograd import Function
+from torch.autograd import Variable
import torch.nn as nn
@@ -35,6 +36,32 @@ class LinearRegression(nn.Module):
def forward(self, x):
return self.regressor(x)
+# Recurrent Neural Networks
+class RNN(nn.Module):
+ def __init__(self, cfg, input_size):
+ super(RNN, self).__init__()
+ self.hidden_size = cfg["RNN"]["HiddenSize"]
+ self.num_layers = cfg["RNN"]["NumLayers"]
+ # RNN
+ self.rnn = nn.RNN(input_size, self.hidden_size, self.num_layers, batch_first=True, nonlinearity='relu')
+
+ self.fc = nn.Linear(self.hidden_size, 1)
+
+ def forward(self, x):
+ use_cuda = torch.cuda.is_available()
+ if use_cuda :
+ device = torch.device('cuda')
+ else :
+ device = toch.device('cpu')
+ # Initialize hidden state with zeros
+ h0 = torch.zeros(self.num_layers, x.size(0), self.hidden_size).to(device)
+
+ # One time step
+ out, hn = self.rnn(x, h0)
+ out = self.fc(out)
+ print(out.shape)
+ return out
+
# Bidirectional LSTM
class BidirectionalLSTM(nn.Module):
def __init__(self, cfg, input_size):
diff --git a/train.py b/train.py
index 335fb5b..77dd782 100644
--- a/train.py
+++ b/train.py
@@ -31,6 +31,7 @@ def train(args, model, loader, f_loss, optimizer, device, log_interval = 100):
# Compute the forward pass through the network up to the loss
outputs = model(inputs)
+ print(targets.shape)
loss = f_loss(outputs, targets)
# Backward and optimize
diff --git a/train_indices.subset b/train_indices.subset
index 8397ff5ff7282cee055b99a389998f7ffa4e9810..42c86043df55f960f18c6cf45c3704b40a70d0c6 100644
GIT binary patch
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diff --git a/valid_indices.subset b/valid_indices.subset
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diff --git a/wandb/debug-internal.log b/wandb/debug-internal.log
index c56df49..da21843 120000
--- a/wandb/debug-internal.log
+++ b/wandb/debug-internal.log
@@ -1 +1 @@
-run-20230130_164435-f5w8sswr/logs/debug-internal.log
\ No newline at end of file
+run-20230131_200825-ytr4zy6r/logs/debug-internal.log
\ No newline at end of file
diff --git a/wandb/debug.log b/wandb/debug.log
index 7a99730..749761f 120000
--- a/wandb/debug.log
+++ b/wandb/debug.log
@@ -1 +1 @@
-run-20230130_164435-f5w8sswr/logs/debug.log
\ No newline at end of file
+run-20230131_200825-ytr4zy6r/logs/debug.log
\ No newline at end of file
diff --git a/wandb/latest-run b/wandb/latest-run
index 4878012..d316e73 120000
--- a/wandb/latest-run
+++ b/wandb/latest-run
@@ -1 +1 @@
-run-20230130_164435-f5w8sswr
\ No newline at end of file
+run-20230131_200825-ytr4zy6r
\ No newline at end of file
--
GitLab