Archive historical evaluation images 1-250 of 17165

evaluations/sd35_direct109_taylor1_sigma_batch4_1000_20260916/direct109/effective_config.json

@@ -0,0 +1,152 @@
+{
+  "generation": {
+    "model_dir": "/workspace/runtime/models/shift1",
+    "split": "eval",
+    "num_records": 1000,
+    "seed_base": 1000001,
+    "noise_dtype": "bfloat16",
+    "height": 512,
+    "width": 512,
+    "num_evaluations": 28,
+    "cfg_scale": 3.5,
+    "max_sequence_length": 256,
+    "generator": "native_SD3_Diffusers",
+    "negative_prompt": "",
+    "cuda_tf32": false
+  },
+  "schedules": [
+    "continuous"
+  ],
+  "backends": [
+    "taylorseer"
+  ],
+  "records": 1000,
+  "prompt_multiplicities": {
+    "5": 200
+  },
+  "metrics": [
+    "lpips",
+    "plpips",
+    "hps",
+    "cost",
+    "ssim",
+    "psnr",
+    "full_calls",
+    "probe_blocks",
+    "rollout_seconds"
+  ],
+  "alpha_iq": 7.0,
+  "include_native_reference": false,
+  "device": "cuda:0",
+  "physical_gpu": 7,
+  "parameters": {
+    "taylor_order": 1,
+    "taylor_coordinate": "sigma",
+    "probe_depth": 1,
+    "retention_ratio": 0.2
+  },
+  "cache_scope": "one batched prompt group, reset per rollout",
+  "method_status": "local SD3.5 learned policy; exact K; sigma-gap Taylor order 1",
+  "metric_protocol": "decoded uint8 whole-image AlexNet LPIPS, patch64 PLPIPS, HPSv2, cost=PLPIPS-alpha_iq*HPS; PSNR255, FP64 Gaussian SSIM255; each generated row is paired with its own stored native image",
+  "hps_protocol": "historical training surrogate; official HPSv2 requires saved-image rescoring",
+  "save_images": true,
+  "timing": "rollout_seconds is synchronized batch latency divided by batch size; rollout_batch_seconds is also persisted per row",
+  "smoke_before_run": true,
+  "smoke_only": false,
+  "policy": {
+    "checkpoint": "/workspace/runtime/jobs/sd35_direct_best109_eval/policy_best_step109.pt",
+    "time_mapping": "direct",
+    "optimizer_step": 109,
+    "completed_epochs": 0,
+    "budget": 14,
+    "alpha_iq": 7.0,
+    "weights": "raw",
+    "schedule": "deterministic Gaussian center",
+    "policy_forward_calls": 1,
+    "recompute_mask": [
+      true,
+      false,
+      true,
+      true,
+      false,
+      true,
+      false,
+      true,
+      false,
+      true,
+      false,
+      true,
+      false,
+      false,
+      true,
+      false,
+      false,
+      true,
+      false,
+      true,
+      true,
+      false,
+      false,
+      true,
+      false,
+      true,
+      false,
+      true
+    ],
+    "boundary_times": [
+      0.0,
+      0.0273208698557038,
+      0.036408834376223505,
+      0.07556760261876307,
+      0.10725985624364724,
+      0.11842120748844889,
+      0.18033521030879637,
+      0.1820710720906799,
+      0.23123585352522696,
+      0.2545180584677098,
+      0.3088305066746181,
+      0.3513366262275109,
+      0.4105181032321732,
+      0.46315616690758543,
+      0.5032491932337657,
+      0.5057441474765803,
+      0.5692401507650057,
+      0.5980267552905286,
+      0.628534789823844,
+      0.6703084838091459,
+      0.7353707886759627,
+      0.7356949319696504,
+      0.791640709124003,
+      0.8127176157926286,
+      0.8596222920129276,
+      0.8874008816104643,
+      0.926572487846032,
+      0.9688178036933909,
+      1.0
+    ],
+    "taylor_distance": "actual post-mapping sigma gaps; order-one secant"
+  },
+  "matrix_case": "direct109",
+  "cases": {
+    "continuous_taylorseer": {
+      "schedule": "external",
+      "backend": "taylorseer",
+      "threshold": 0.0,
+      "num_steps": 28,
+      "num_train_timesteps": 1000,
+      "probe_depth": 1,
+      "retention_ratio": 0.2,
+      "taylor_order": 1,
+      "tea_coefficients": null,
+      "taylor_coordinate": "sigma"
+    }
+  },
+  "runtime_reuse": {
+    "pipeline_loads": 1,
+    "metric_model_loads": 1,
+    "sampling_batch_size": 4,
+    "metric_batch_size": 1,
+    "scientific_semantics_changed": true,
+    "batch_shape_note": "BF16 outputs can differ from historical batch-one evaluation"
+  }
+}