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.gitignore

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@@ -105,4 +105,5 @@ GFS_samples/
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GFS_TEST_RUN/
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PLACEHOLDER/
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*.zarr
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example_configuration.yaml # config file for samples adjusted for local paths
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example_configuration.yaml # config file for samples adjusted for local paths
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experiment_config.yaml

experiment_config.yaml

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src/open_data_pvnet/configs/PVNet_configs/config.yaml

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@@ -5,7 +5,7 @@ defaults:
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- _self_
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- trainer: default.yaml
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- model: multimodal.yaml
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- datamodule: premade_batches.yaml
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- datamodule: streamed_batches.yaml #
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- callbacks: default.yaml # set this to null if you don't want to use callbacks
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# - logger: null
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- logger: wandb.yaml # set logger here or use command line (e.g. `python run.py logger=wandb`)

src/open_data_pvnet/configs/PVNet_configs/datamodule/configuration/example_configuration.yaml

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@@ -19,8 +19,7 @@ input_data:
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gsp:
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# Path to GSP data in zarr format
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# e.g. gs://solar-pv-nowcasting-data/PV/GSP/v7/pv_gsp.zarr
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# zarr_path: "s3://ocf-open-data-pvnet/data/uk/pvlive/v2/combined_2023_gsp.zarr"
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zarr_path: "/Users/jacquescamier/Development/ML_AI/open-data-pvnet/gsp_2023.zarr"
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zarr_path: "s3://ocf-open-data-pvnet/data/uk/pvlive/v2/combined_2023_gsp.zarr"
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interval_start_minutes: -60
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# Specified for intraday currently
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interval_end_minutes: 480
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# Values after t0 are assumed as targets and cannot be dropped.
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dropout_timedeltas_minutes: []
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dropout_fraction: 0.0 # Fraction of samples with dropout
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# public: True
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public: True
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nwp:
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gfs:
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interval_end_minutes: 540
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dropout_fraction: 0.0
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dropout_timedeltas_minutes: []
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# zarr_path: "s3://ocf-open-data-pvnet/data/gfs/v4/2023.zarr"
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zarr_path: "/Users/jacquescamier/Development/ML_AI/open-data-pvnet/gfs_2023.zarr"
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zarr_path: "s3://ocf-open-data-pvnet/data/gfs/v4/2023.zarr"
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provider: "gfs"
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image_size_pixels_height: 2
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image_size_pixels_width: 2
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# public: True
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public: True
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channels:
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- dlwrf # downwards long-wave radiation flux
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- dswrf # downwards short-wave radiation flux

src/open_data_pvnet/configs/PVNet_configs/datamodule/streamed_batches.yaml

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@@ -2,7 +2,7 @@ _target_: pvnet.data.DataModule
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# Path to the data configuration yaml file. You can find examples in the configuration subdirectory
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# in configs.example/datamodule/configuration
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# Use the full local path such as: /FULL/PATH/PVNet/configs/datamodule/configuration/gcp_configuration.yaml"
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configuration: "/Users/jacquescamier/Development/ML_AI/open-data-pvnet/src/open_data_pvnet/configs/PVNet_configs/datamodule/configuration/example_configuration.yaml"
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configuration: null
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num_workers: 8
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prefetch_factor: 2
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batch_size: 8

src/open_data_pvnet/configs/PVNet_configs/logger/wandb.yaml

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@@ -6,9 +6,9 @@ wandb:
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project: "GFS_TEST_RUN"
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name: "${model_name}"
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# location to store the wandb local logs
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save_dir: "GFS_TEST_RUN"
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save_dir: "PLACEHOLDER"
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offline: False # set True to store all logs only locally
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# id: null # pass correct id to resume experiment!
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id: null # pass correct id to resume experiment!
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id: "${oc.env:WANDB_RUN_ID}"
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# entity: "" # set to name of your wandb team or just remove it
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log_model: True

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