65 separate task specific analysis

retinal_rl/analysis/default.py

@@ -0,0 +1,39 @@
+from retinal_rl.analysis.plot import (
+    FigureLogger,
+    plot_brain_and_optimizers,
+    plot_receptive_field_sizes,
+)
+from retinal_rl.models.brain import Brain
+from retinal_rl.models.objective import ContextT, Objective
+from retinal_rl.util import FloatArray
+
+INIT_DIR = "initialization_analysis"
+
+
+def initialization_plots(
+    log: FigureLogger,
+    brain: Brain,
+    objective: Objective[ContextT],
+    input_shape: tuple[int, ...],
+    rf_result: dict[str, FloatArray],
+):
+    log.save_summary(brain)
+
+    # TODO: This is a bit of a hack, we should refactor this to get the relevant information out of  cnn_stats
+    rf_sizes_fig = plot_receptive_field_sizes(input_shape, rf_result)
+    log.log_figure(
+        rf_sizes_fig,
+        INIT_DIR,
+        "receptive_field_sizes",
+        0,
+        False,
+    )
+
+    graph_fig = plot_brain_and_optimizers(brain, objective)
+    log.log_figure(
+        graph_fig,
+        INIT_DIR,
+        "brain_graph",
+        0,
+        False,
+    )