Upload resnet_mnist_3epoch_prototype.json with huggingface_hub

resnet_mnist_3epoch_prototype.json

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+{
+  "provenance": "USER_SPECIFIED prototype retrain from configs/resnet_mnist_existing.json with epochs changed to 3 for faster interactive visualization artifact generation.",
+  "result_status": "PROTOTYPE_ONLY",
+  "dataset": "MNIST",
+  "model": "stage9_resnet18_mnist",
+  "variant": "binary_with_pim_conv2_5_3epoch_prototype",
+  "epochs": 3,
+  "batch_size": 50,
+  "learning_rate": 0.0001,
+  "seed": 0,
+  "train_limit": 60000,
+  "test_limit": 10000,
+  "device": "auto",
+  "optimizer": "Adam",
+  "loss": "CrossEntropyLoss",
+  "stem_float": true,
+  "head_float": true,
+  "clamp_val": 1.0,
+  "pim": {
+    "enabled": true,
+    "conv_indices": [
+      2,
+      3,
+      4,
+      5
+    ],
+    "scope_name": "pim_conv_2_5",
+    "num_rows": 96,
+    "num_cols": 128,
+    "num_cycle": 50,
+    "noise_sigma": 7.0,
+    "output_sign": false,
+    "raw_reduction_output": true,
+    "binary_activation_after_pim": true,
+    "output_sign_after_reduction": false,
+    "backward": "STE",
+    "mode": "sim_cuda"
+  },
+  "export": {
+    "correct_only": true,
+    "max_samples": 16,
+    "include_weights": true,
+    "include_activations": true,
+    "include_pim_blocks": true,
+    "output_block_spatial": [
+      3,
+      2
+    ],
+    "output_channel_block": 4
+  },
+  "mode": "sim_cuda"
+}