results: compare full state-bias EP trajectories

10 files changed, 2037 insertions, 0 deletions

diff --git a/RAIN_EP_RELEASED_PROFILE.md b/RAIN_EP_RELEASED_PROFILE.md
index eb6a16f..6849a9d 100644
--- a/RAIN_EP_RELEASED_PROFILE.md
+++ b/RAIN_EP_RELEASED_PROFILE.md
@@ -123,3 +123,25 @@ Affine SDIL lost all four paired comparisons. The one-epoch state-dependent
 claim is therefore negative. The remaining accuracy question is whether the
 affine predictor needs a longer trajectory to learn the state relation; R3
 tests that question on full-data ten-epoch trajectories.
+
+## R3 full-data trajectories
+
+R3 used all 60,000 FashionMNIST training examples, the official 10,000-example
+test set, ten epochs, and two paired initializations. The hardware bias was the
+released state-dependent profile, not the constant-offset sanity check. The
+intercept tracker and affine SDIL received the same exact neutral observation
+every ten parameter updates. Final test accuracy was:
+
+| seed | clean/oracle | raw | intercept tracker | affine SDIL | SDIL minus intercept |
+|---:|---:|---:|---:|---:|---:|
+| 1988 | 88.67% | 10.00% (nonfinite after epoch 3) | 84.52% | 83.13% | -1.39 points |
+| 1989 | 88.80% | 10.00% (nonfinite after epoch 2) | 86.02% | 87.22% | +1.20 points |
+| mean | 88.74% | 10.00% | 85.27% | 85.18% | -0.10 points |
+
+Both local correction methods prevent the raw state-dependent failure, but
+affine SDIL does not have a consistent accuracy advantage: it wins one pair,
+loses one pair, and is 0.095 percentage points lower on the two-seed mean. The
+predeclared endpoint is final accuracy, so its temporarily higher intermediate
+or best accuracy is not substituted for this result. Two further paired seeds
+are required to narrow the comparison, but R3 itself is mixed/negative for an
+SDIL-over-intercept claim.
diff --git a/results/ep_bias/centered_r3/seed_1988_clean.json b/results/ep_bias/centered_r3/seed_1988_clean.json
new file mode 100644
index 0000000..12fd5ee
--- /dev/null
+++ b/results/ep_bias/centered_r3/seed_1988_clean.json
@@ -0,0 +1,186 @@
+{
+  "schema": "rain_ep_structured_bias_screen_v1",
+  "sdil": {
+    "revision": "c959c50eaeb932f96339a96fb42abfb247cc5aac"
+  },
+  "author": {
+    "repository": "https://github.com/rain-neuromorphics/energy-based-learning",
+    "revision": "6b253fd8a5d267535f58ab79992256ef10031ceb"
+  },
+  "protocol": {
+    "dataset": "FashionMNIST",
+    "network": "author comparative-study ConvHopfieldEnergy32",
+    "network_protocol": "comparative32",
+    "algorithm": "equilibrium propagation",
+    "beta_policy": "centered",
+    "beta_seed": 7100,
+    "beta_value": 0.25,
+    "adapter": "dillavou",
+    "mode": "clean",
+    "bias_ratio": 1.0,
+    "dillavou_drift_ratio": 0.0,
+    "dillavou_calibration_steps": 1,
+    "dillavou_profile": {
+      "normalized_offsets": [
+        0.9356214982615908,
+        1.6020613079954447,
+        -0.10013991355431538,
+        0.7402593971899275
+      ],
+      "normalized_state_variations": [
+        0.5259526502913017,
+        0.31316961348123956,
+        0.3831972460091073,
+        -0.04782433762159926
+      ],
+      "source": "/home/yurenh2/sdil/results/physical_bias/p0_state_dependence.json"
+    },
+    "predictor_rate": 1.0,
+    "neutral_cadence": 10,
+    "layer_calibration_steps": 1,
+    "layer_bias_normalization": "clean_difference",
+    "calibration_batches": 0,
+    "calibration_observations": 0,
+    "calibration_seconds": 2.1457672119140625e-06,
+    "extra_equilibrium_phases_for_predictor": 0,
+    "predictor_neutral_source": "instruction_off_local_update_probe",
+    "bias_ratio_normalization": "initial_clean_local_update_rms_for_simulation_only",
+    "bias_ratio_normalization_visible_to_predictor": false,
+    "epochs": 10,
+    "train_limit": 60000,
+    "test_limit": 10000,
+    "evaluation_split": "test",
+    "data_seed": 6200,
+    "batch_size": 128,
+    "training_iterations": 15,
+    "inference_iterations": 60,
+    "schedule_epochs": 100,
+    "seed": 1988,
+    "device": "cuda",
+    "determinism": "best_effort_warn_only",
+    "autodiff_used_for_learning": false
+  },
+  "hardware": {
+    "torch_version": "2.3.1+cu118",
+    "torch_cuda_version": "11.8",
+    "cuda_visible_devices": "0",
+    "device_name": "NVIDIA GeForce GTX 1080"
+  },
+  "metrics": [
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+      "finite": true,
+      "corrector": {},
+      "wall_seconds": 773.0352191925049
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+    {
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+    {
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+      "finite": true,
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+      "wall_seconds": 2319.259986639023
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+    {
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+      "test_cost": 0.11115882776975632,
+      "finite": true,
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+      "wall_seconds": 3091.5079197883606
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+    {
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+    {
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+    {
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+      "test_cost": 0.09160860464572906,
+      "finite": true,
+      "corrector": {},
+      "wall_seconds": 6178.133781671524
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+    {
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+      "test_cost": 0.09528597943782806,
+      "finite": true,
+      "corrector": {},
+      "wall_seconds": 6949.983987569809
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+    {
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+      "train_accuracy": 0.8811,
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+      "test_accuracy": 0.8867,
+      "test_cost": 0.08445086604356766,
+      "finite": true,
+      "corrector": {},
+      "wall_seconds": 7721.515896558762
+    }
+  ],
+  "epochs_completed": 10,
+  "beta_sign_counts": {
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+    "negative": 4690
+  },
+  "final": {
+    "epoch": 10,
+    "train_accuracy": 0.8811,
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+    "test_cost": 0.08445086604356766,
+    "finite": true,
+    "corrector": {},
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+  }
+}
diff --git a/results/ep_bias/centered_r3/seed_1988_intercept.json b/results/ep_bias/centered_r3/seed_1988_intercept.json
new file mode 100644
index 0000000..10d9ba8
--- /dev/null
+++ b/results/ep_bias/centered_r3/seed_1988_intercept.json
@@ -0,0 +1,296 @@
+{
+  "schema": "rain_ep_structured_bias_screen_v1",
+  "sdil": {
+    "revision": "c959c50eaeb932f96339a96fb42abfb247cc5aac"
+  },
+  "author": {
+    "repository": "https://github.com/rain-neuromorphics/energy-based-learning",
+    "revision": "6b253fd8a5d267535f58ab79992256ef10031ceb"
+  },
+  "protocol": {
+    "dataset": "FashionMNIST",
+    "network": "author comparative-study ConvHopfieldEnergy32",
+    "network_protocol": "comparative32",
+    "algorithm": "equilibrium propagation",
+    "beta_policy": "centered",
+    "beta_seed": 7100,
+    "beta_value": 0.25,
+    "adapter": "dillavou",
+    "mode": "constant",
+    "bias_ratio": 1.0,
+    "dillavou_drift_ratio": 0.0,
+    "dillavou_calibration_steps": 1,
+    "dillavou_profile": {
+      "normalized_offsets": [
+        0.9356214982615908,
+        1.6020613079954447,
+        -0.10013991355431538,
+        0.7402593971899275
+      ],
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+        0.5259526502913017,
+        0.31316961348123956,
+        0.3831972460091073,
+        -0.04782433762159926
+      ],
+      "source": "/home/yurenh2/sdil/results/physical_bias/p0_state_dependence.json"
+    },
+    "predictor_rate": 1.0,
+    "neutral_cadence": 10,
+    "layer_calibration_steps": 1,
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+    "calibration_batches": 0,
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+    "extra_equilibrium_phases_for_predictor": 0,
+    "predictor_neutral_source": "instruction_off_local_update_probe",
+    "bias_ratio_normalization": "initial_clean_local_update_rms_for_simulation_only",
+    "bias_ratio_normalization_visible_to_predictor": false,
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+    "test_limit": 10000,
+    "evaluation_split": "test",
+    "data_seed": 6200,
+    "batch_size": 128,
+    "training_iterations": 15,
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+    "schedule_epochs": 100,
+    "seed": 1988,
+    "device": "cuda",
+    "determinism": "best_effort_warn_only",
+    "autodiff_used_for_learning": false
+  },
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+    "torch_cuda_version": "11.8",
+    "cuda_visible_devices": "2",
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+  },
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+  }
+}
diff --git a/results/ep_bias/centered_r3/seed_1988_raw.json b/results/ep_bias/centered_r3/seed_1988_raw.json
new file mode 100644
index 0000000..f3f10b2
--- /dev/null
+++ b/results/ep_bias/centered_r3/seed_1988_raw.json
@@ -0,0 +1,156 @@
+{
+  "schema": "rain_ep_structured_bias_screen_v1",
+  "sdil": {
+    "revision": "c959c50eaeb932f96339a96fb42abfb247cc5aac"
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new file mode 100644
index 0000000..2628ceb
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index 0000000..aaaa1d2
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index 0000000..a272804
--- /dev/null
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index 0000000..5cfd2a6
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new file mode 100644
index 0000000..228b659
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