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adjusted effective caps - removed unused variable
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equitrain/backends/jax_predict.py

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@@ -449,7 +449,6 @@ def predict(args):
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raise RuntimeError('Prediction dataset is empty.')
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effective_nodes = getattr(loader, '_n_node', batch_max_nodes)
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effective_edges = getattr(loader, '_n_edge', batch_max_edges)
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effective_graphs = getattr(loader, '_n_graph', None)
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if batch_max_edges is not None and effective_edges != batch_max_edges:
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logging.warning(
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'Requested max edges per batch (%s) was raised to %s to fit the data.',

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