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Better time series support in the model configuration #214

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@favyen2 favyen2 commented Jul 21, 2025

Improve time series support in the model configuration file.

Previously, if we have a layer that is an image time series (contains multiple sub-layers over time), then in the model config we would need to have one DataInput per timestep. This PR adds two options in DataInput, load_all_item_groups and load_all_layers.

  • load_all_item_groups: this adds all item groups under the specified layer as options of layers to load.
  • load_all_layers: this reads all of the layer options concatenated on channel axis instead of randomly picking one option to read.

So the two options can be combined to read image time series. They are still treated as tensors with time concatenated over channel axis (T*CxHxW).

Resolves #174. Depends on #200.

favyen2 and others added 14 commits June 3, 2025 13:17
Previously, if we have a layer that is an image time series (contains multiple sub-layers
over time), then in the model config we would need to have one DataInput per timestep.
This PR adds two options in DataInput, load_all_item_groups and load_all_layers.

- load_all_item_groups: this adds all item groups under the specified layer as options
  of layers to load.
- load_all_layers: this reads all of the layer options concatenated on channel axis
  instead of randomly picking one option to read.

So tho two options can be combined to read image time series. They are still treated as
tensors with time concatenated over channel axis (T*CxHxW).
@favyen2 favyen2 mentioned this pull request Jul 22, 2025
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Time series data
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