diff --git a/loci-sparse/1st_data/logs/shard0.log b/loci-sparse/1st_data/logs/shard0.log
new file mode 100644
index 0000000000000000000000000000000000000000..6284a274978868239f57f30a246e72ac3fd2204b
--- /dev/null
+++ b/loci-sparse/1st_data/logs/shard0.log
@@ -0,0 +1,35 @@
+nohup: ignoring input
+[loci_sparse] shard 0/2: 25 clips, history=sparse, resolution=864x480
+The config attributes {'clip_output': False} were passed to AutoencoderKLWan, but are not expected and will be ignored. Please verify your config.json configuration file.
+
Loading checkpoint shards:   0%|          | 0/3 [00:00<?, ?it/s]
Loading checkpoint shards:  33%|███▎      | 1/3 [00:00<00:01,  1.50it/s]
Loading checkpoint shards:  67%|██████▋   | 2/3 [00:01<00:00,  1.64it/s]
Loading checkpoint shards: 100%|██████████| 3/3 [00:01<00:00,  2.51it/s]
Loading checkpoint shards: 100%|██████████| 3/3 [00:01<00:00,  2.17it/s]
+
Loading checkpoint shards:   0%|          | 0/3 [00:00<?, ?it/s]
Loading checkpoint shards:  33%|███▎      | 1/3 [00:01<00:02,  1.34s/it]
Loading checkpoint shards:  67%|██████▋   | 2/3 [00:02<00:01,  1.33s/it]
Loading checkpoint shards: 100%|██████████| 3/3 [00:02<00:00,  1.12it/s]
+[loci] loaded in 23s, hybrid_layers=15, sampler=flow_euler steps=50
+Current Python version 3.10 is below the recommended 3.11 version. It is recommended to upgrade to Python 3.11 or higher for the best experience.
+/private/data_group/weijiawu/code/fgloris/world-models/LOCI/loci/attention.py:62: UserWarning: FlashAttention-3 unavailable: intra-chunk attention falls back to torch SDPA (outputs are valid samples but not bit-identical to the reference outputs).
+  warnings.warn("FlashAttention-3 unavailable: intra-chunk attention falls back to torch SDPA "
+[loci] {"clip": "data-25", "adapter": "loci_sparse", "model_variant": "LOCI-hybrid", "hybrid_layers": [2, 4, 6, 7, 8, 9, 11, 13, 14, 16, 23, 24, 25, 27, 28], "perspective": "1st", "mark_time": 1465, "total_time": 4352, "memory_frames_16fps": 961, "memory_latents": 241, "num_latents": 731, "chunks": 98, "height": 480, "width": 864, "history": "sparse", "steps": 50, "seed": 42, "hfov_deg": 90.0, "pred_num_frames": 2887, "prep_sec": 49.21, "gen_sec": 666.51, "decode_sec": 190.35, "write_sec": 14.95, "infer_sec": 921.03, "clip_wall_sec": 921.11, "peak_alloc_gb": 56.74}
+[loci] {"clip": "data-27", "adapter": "loci_sparse", "model_variant": "LOCI-hybrid", "hybrid_layers": [2, 4, 6, 7, 8, 9, 11, 13, 14, 16, 23, 24, 25, 27, 28], "perspective": "1st", "mark_time": 2030, "total_time": 6014, "memory_frames_16fps": 1341, "memory_latents": 336, "num_latents": 1006, "chunks": 134, "height": 480, "width": 864, "history": "sparse", "steps": 50, "seed": 42, "hfov_deg": 90.0, "pred_num_frames": 3984, "prep_sec": 68.11, "gen_sec": 896.66, "decode_sec": 261.57, "write_sec": 21.89, "infer_sec": 1248.23, "clip_wall_sec": 1248.36, "peak_alloc_gb": 69.56}
+[loci] {"clip": "data-29", "adapter": "loci_sparse", "model_variant": "LOCI-hybrid", "hybrid_layers": [2, 4, 6, 7, 8, 9, 11, 13, 14, 16, 23, 24, 25, 27, 28], "perspective": "1st", "mark_time": 1608, "total_time": 4825, "memory_frames_16fps": 1061, "memory_latents": 266, "num_latents": 806, "chunks": 108, "height": 480, "width": 864, "history": "sparse", "steps": 50, "seed": 42, "hfov_deg": 90.0, "pred_num_frames": 3217, "prep_sec": 53.56, "gen_sec": 722.64, "decode_sec": 209.02, "write_sec": 15.38, "infer_sec": 1000.6, "clip_wall_sec": 1000.71, "peak_alloc_gb": 60.24}
+[loci] {"clip": "data-31", "adapter": "loci_sparse", "model_variant": "LOCI-hybrid", "hybrid_layers": [2, 4, 6, 7, 8, 9, 11, 13, 14, 16, 23, 24, 25, 27, 28], "perspective": "1st", "mark_time": 733, "total_time": 2200, "memory_frames_16fps": 481, "memory_latents": 121, "num_latents": 371, "chunks": 50, "height": 480, "width": 864, "history": "sparse", "steps": 50, "seed": 42, "hfov_deg": 90.0, "pred_num_frames": 1467, "prep_sec": 24.36, "gen_sec": 333.44, "decode_sec": 93.78, "write_sec": 6.73, "infer_sec": 458.32, "clip_wall_sec": 458.37, "peak_alloc_gb": 40.77}
+[loci] {"clip": "data-33", "adapter": "loci_sparse", "model_variant": "LOCI-hybrid", "hybrid_layers": [2, 4, 6, 7, 8, 9, 11, 13, 14, 16, 23, 24, 25, 27, 28], "perspective": "1st", "mark_time": 342, "total_time": 1026, "memory_frames_16fps": 221, "memory_latents": 56, "num_latents": 176, "chunks": 24, "height": 480, "width": 864, "history": "sparse", "steps": 50, "seed": 42, "hfov_deg": 90.0, "pred_num_frames": 684, "prep_sec": 11.15, "gen_sec": 149.13, "decode_sec": 44.21, "write_sec": 3.22, "infer_sec": 207.71, "clip_wall_sec": 207.74, "peak_alloc_gb": 38.85}
+[loci] {"clip": "data-35", "adapter": "loci_sparse", "model_variant": "LOCI-hybrid", "hybrid_layers": [2, 4, 6, 7, 8, 9, 11, 13, 14, 16, 23, 24, 25, 27, 28], "perspective": "1st", "mark_time": 616, "total_time": 1850, "memory_frames_16fps": 401, "memory_latents": 101, "num_latents": 311, "chunks": 42, "height": 480, "width": 864, "history": "sparse", "steps": 50, "seed": 42, "hfov_deg": 90.0, "pred_num_frames": 1234, "prep_sec": 19.95, "gen_sec": 278.27, "decode_sec": 78.37, "write_sec": 5.22, "infer_sec": 381.81, "clip_wall_sec": 381.85, "peak_alloc_gb": 40.17}
+[loci] {"clip": "data-37", "adapter": "loci_sparse", "model_variant": "LOCI-hybrid", "hybrid_layers": [2, 4, 6, 7, 8, 9, 11, 13, 14, 16, 23, 24, 25, 27, 28], "perspective": "1st", "mark_time": 1253, "total_time": 3760, "memory_frames_16fps": 821, "memory_latents": 206, "num_latents": 631, "chunks": 85, "height": 480, "width": 864, "history": "sparse", "steps": 50, "seed": 42, "hfov_deg": 90.0, "pred_num_frames": 2507, "prep_sec": 42.24, "gen_sec": 567.6, "decode_sec": 159.5, "write_sec": 10.82, "infer_sec": 780.16, "clip_wall_sec": 780.25, "peak_alloc_gb": 52.07}
+[loci] {"clip": "data-39", "adapter": "loci_sparse", "model_variant": "LOCI-hybrid", "hybrid_layers": [2, 4, 6, 7, 8, 9, 11, 13, 14, 16, 23, 24, 25, 27, 28], "perspective": "1st", "mark_time": 2225, "total_time": 6675, "memory_frames_16fps": 1481, "memory_latents": 371, "num_latents": 1116, "chunks": 149, "height": 480, "width": 864, "history": "sparse", "steps": 50, "seed": 42, "hfov_deg": 90.0, "pred_num_frames": 4450, "prep_sec": 73.69, "gen_sec": 995.97, "decode_sec": 286.54, "write_sec": 27.74, "infer_sec": 1383.94, "clip_wall_sec": 1384.38, "peak_alloc_gb": 74.69}
+[loci] {"clip": "data-41", "adapter": "loci_sparse", "model_variant": "LOCI-hybrid", "hybrid_layers": [2, 4, 6, 7, 8, 9, 11, 13, 14, 16, 23, 24, 25, 27, 28], "perspective": "1st", "mark_time": 348, "total_time": 1045, "memory_frames_16fps": 221, "memory_latents": 56, "num_latents": 176, "chunks": 24, "height": 480, "width": 864, "history": "sparse", "steps": 50, "seed": 42, "hfov_deg": 90.0, "pred_num_frames": 697, "prep_sec": 11.25, "gen_sec": 156.75, "decode_sec": 44.26, "write_sec": 4.48, "infer_sec": 216.74, "clip_wall_sec": 216.77, "peak_alloc_gb": 38.84}
+[loci] {"clip": "data-43", "adapter": "loci_sparse", "model_variant": "LOCI-hybrid", "hybrid_layers": [2, 4, 6, 7, 8, 9, 11, 13, 14, 16, 23, 24, 25, 27, 28], "perspective": "1st", "mark_time": 821, "total_time": 2464, "memory_frames_16fps": 541, "memory_latents": 136, "num_latents": 416, "chunks": 56, "height": 480, "width": 864, "history": "sparse", "steps": 50, "seed": 42, "hfov_deg": 90.0, "pred_num_frames": 1643, "prep_sec": 27.06, "gen_sec": 367.02, "decode_sec": 104.75, "write_sec": 8.51, "infer_sec": 507.34, "clip_wall_sec": 507.42, "peak_alloc_gb": 42.05}
+[loci] {"clip": "data-45", "adapter": "loci_sparse", "model_variant": "LOCI-hybrid", "hybrid_layers": [2, 4, 6, 7, 8, 9, 11, 13, 14, 16, 23, 24, 25, 27, 28], "perspective": "1st", "mark_time": 1015, "total_time": 3046, "memory_frames_16fps": 661, "memory_latents": 166, "num_latents": 511, "chunks": 69, "height": 480, "width": 864, "history": "sparse", "steps": 50, "seed": 42, "hfov_deg": 90.0, "pred_num_frames": 2031, "prep_sec": 32.89, "gen_sec": 460.58, "decode_sec": 130.23, "write_sec": 9.21, "infer_sec": 632.91, "clip_wall_sec": 632.98, "peak_alloc_gb": 46.48}
+[loci] {"clip": "data-47", "adapter": "loci_sparse", "model_variant": "LOCI-hybrid", "hybrid_layers": [2, 4, 6, 7, 8, 9, 11, 13, 14, 16, 23, 24, 25, 27, 28], "perspective": "1st", "mark_time": 782, "total_time": 2346, "memory_frames_16fps": 521, "memory_latents": 131, "num_latents": 396, "chunks": 53, "height": 480, "width": 864, "history": "sparse", "steps": 50, "seed": 42, "hfov_deg": 90.0, "pred_num_frames": 1564, "prep_sec": 26.28, "gen_sec": 353.46, "decode_sec": 99.99, "write_sec": 9.58, "infer_sec": 489.31, "clip_wall_sec": 489.36, "peak_alloc_gb": 41.11}
+[loci] {"clip": "data-49", "adapter": "loci_sparse", "model_variant": "LOCI-hybrid", "hybrid_layers": [2, 4, 6, 7, 8, 9, 11, 13, 14, 16, 23, 24, 25, 27, 28], "perspective": "1st", "mark_time": 439, "total_time": 1317, "memory_frames_16fps": 281, "memory_latents": 71, "num_latents": 226, "chunks": 31, "height": 480, "width": 864, "history": "sparse", "steps": 50, "seed": 42, "hfov_deg": 90.0, "pred_num_frames": 878, "prep_sec": 14.23, "gen_sec": 197.97, "decode_sec": 56.76, "write_sec": 4.1, "infer_sec": 273.06, "clip_wall_sec": 273.1, "peak_alloc_gb": 39.34}
+[loci] {"clip": "data-51", "adapter": "loci_sparse", "model_variant": "LOCI-hybrid", "hybrid_layers": [2, 4, 6, 7, 8, 9, 11, 13, 14, 16, 23, 24, 25, 27, 28], "perspective": "1st", "mark_time": 856, "total_time": 2570, "memory_frames_16fps": 561, "memory_latents": 141, "num_latents": 431, "chunks": 58, "height": 480, "width": 864, "history": "sparse", "steps": 50, "seed": 42, "hfov_deg": 90.0, "pred_num_frames": 1714, "prep_sec": 28.4, "gen_sec": 386.34, "decode_sec": 108.83, "write_sec": 8.92, "infer_sec": 532.49, "clip_wall_sec": 532.55, "peak_alloc_gb": 42.75}
+[loci] {"clip": "data-53", "adapter": "loci_sparse", "model_variant": "LOCI-hybrid", "hybrid_layers": [2, 4, 6, 7, 8, 9, 11, 13, 14, 16, 23, 24, 25, 27, 28], "perspective": "1st", "mark_time": 1025, "total_time": 3077, "memory_frames_16fps": 681, "memory_latents": 171, "num_latents": 516, "chunks": 69, "height": 480, "width": 864, "history": "sparse", "steps": 50, "seed": 42, "hfov_deg": 90.0, "pred_num_frames": 2052, "prep_sec": 33.92, "gen_sec": 460.93, "decode_sec": 130.44, "write_sec": 10.16, "infer_sec": 635.46, "clip_wall_sec": 635.53, "peak_alloc_gb": 46.71}
+[loci] {"clip": "data-55", "adapter": "loci_sparse", "model_variant": "LOCI-hybrid", "hybrid_layers": [2, 4, 6, 7, 8, 9, 11, 13, 14, 16, 23, 24, 25, 27, 28], "perspective": "1st", "mark_time": 1926, "total_time": 5779, "memory_frames_16fps": 1281, "memory_latents": 321, "num_latents": 966, "chunks": 129, "height": 480, "width": 864, "history": "sparse", "steps": 50, "seed": 42, "hfov_deg": 90.0, "pred_num_frames": 3853, "prep_sec": 63.62, "gen_sec": 862.26, "decode_sec": 246.16, "write_sec": 21.08, "infer_sec": 1193.11, "clip_wall_sec": 1193.24, "peak_alloc_gb": 67.7}
+[loci] {"clip": "data-57", "adapter": "loci_sparse", "model_variant": "LOCI-hybrid", "hybrid_layers": [2, 4, 6, 7, 8, 9, 11, 13, 14, 16, 23, 24, 25, 27, 28], "perspective": "1st", "mark_time": 2386, "total_time": 7158, "memory_frames_16fps": 1581, "memory_latents": 396, "num_latents": 1196, "chunks": 160, "height": 480, "width": 864, "history": "sparse", "steps": 50, "seed": 42, "hfov_deg": 90.0, "pred_num_frames": 4772, "prep_sec": 79.58, "gen_sec": 1069.78, "decode_sec": 307.26, "write_sec": 25.88, "infer_sec": 1482.51, "clip_wall_sec": 1482.72, "peak_alloc_gb": 78.43}
+[loci] {"clip": "data-59", "adapter": "loci_sparse", "model_variant": "LOCI-hybrid", "hybrid_layers": [2, 4, 6, 7, 8, 9, 11, 13, 14, 16, 23, 24, 25, 27, 28], "perspective": "1st", "mark_time": 1960, "total_time": 5881, "memory_frames_16fps": 1301, "memory_latents": 326, "num_latents": 986, "chunks": 132, "height": 480, "width": 864, "history": "sparse", "steps": 50, "seed": 42, "hfov_deg": 90.0, "pred_num_frames": 3921, "prep_sec": 64.78, "gen_sec": 882.12, "decode_sec": 250.75, "write_sec": 23.61, "infer_sec": 1221.26, "clip_wall_sec": 1221.39, "peak_alloc_gb": 68.63}
+[loci] {"clip": "data-61", "adapter": "loci_sparse", "model_variant": "LOCI-hybrid", "hybrid_layers": [2, 4, 6, 7, 8, 9, 11, 13, 14, 16, 23, 24, 25, 27, 28], "perspective": "1st", "mark_time": 1497, "total_time": 4491, "memory_frames_16fps": 981, "memory_latents": 246, "num_latents": 751, "chunks": 101, "height": 480, "width": 864, "history": "sparse", "steps": 50, "seed": 42, "hfov_deg": 90.0, "pred_num_frames": 2994, "prep_sec": 48.8, "gen_sec": 674.08, "decode_sec": 191.09, "write_sec": 15.98, "infer_sec": 929.94, "clip_wall_sec": 930.04, "peak_alloc_gb": 57.67}
+[loci] {"clip": "data-63", "adapter": "loci_sparse", "model_variant": "LOCI-hybrid", "hybrid_layers": [2, 4, 6, 7, 8, 9, 11, 13, 14, 16, 23, 24, 25, 27, 28], "perspective": "1st", "mark_time": 731, "total_time": 2194, "memory_frames_16fps": 481, "memory_latents": 121, "num_latents": 371, "chunks": 50, "height": 480, "width": 864, "history": "sparse", "steps": 50, "seed": 42, "hfov_deg": 90.0, "pred_num_frames": 1463, "prep_sec": 23.99, "gen_sec": 332.47, "decode_sec": 93.64, "write_sec": 6.81, "infer_sec": 456.91, "clip_wall_sec": 456.97, "peak_alloc_gb": 40.76}
+[loci] {"clip": "data-65", "adapter": "loci_sparse", "model_variant": "LOCI-hybrid", "hybrid_layers": [2, 4, 6, 7, 8, 9, 11, 13, 14, 16, 23, 24, 25, 27, 28], "perspective": "1st", "mark_time": 255, "total_time": 766, "memory_frames_16fps": 161, "memory_latents": 41, "num_latents": 131, "chunks": 18, "height": 480, "width": 864, "history": "sparse", "steps": 50, "seed": 42, "hfov_deg": 90.0, "pred_num_frames": 511, "prep_sec": 8.22, "gen_sec": 112.54, "decode_sec": 32.62, "write_sec": 2.64, "infer_sec": 156.02, "clip_wall_sec": 156.04, "peak_alloc_gb": 38.4}
+[loci] {"clip": "data-67", "adapter": "loci_sparse", "model_variant": "LOCI-hybrid", "hybrid_layers": [2, 4, 6, 7, 8, 9, 11, 13, 14, 16, 23, 24, 25, 27, 28], "perspective": "1st", "mark_time": 397, "total_time": 1192, "memory_frames_16fps": 261, "memory_latents": 66, "num_latents": 201, "chunks": 27, "height": 480, "width": 864, "history": "sparse", "steps": 50, "seed": 42, "hfov_deg": 90.0, "pred_num_frames": 795, "prep_sec": 13.1, "gen_sec": 173.34, "decode_sec": 50.2, "write_sec": 4.1, "infer_sec": 240.75, "clip_wall_sec": 240.79, "peak_alloc_gb": 39.09}
+[loci] {"clip": "data-69", "adapter": "loci_sparse", "model_variant": "LOCI-hybrid", "hybrid_layers": [2, 4, 6, 7, 8, 9, 11, 13, 14, 16, 23, 24, 25, 27, 28], "perspective": "1st", "mark_time": 488, "total_time": 1466, "memory_frames_16fps": 321, "memory_latents": 81, "num_latents": 246, "chunks": 33, "height": 480, "width": 864, "history": "sparse", "steps": 50, "seed": 42, "hfov_deg": 90.0, "pred_num_frames": 978, "prep_sec": 16.08, "gen_sec": 210.64, "decode_sec": 61.58, "write_sec": 4.2, "infer_sec": 292.5, "clip_wall_sec": 292.54, "peak_alloc_gb": 39.53}
+[loci] {"clip": "data-71", "adapter": "loci_sparse", "model_variant": "LOCI-hybrid", "hybrid_layers": [2, 4, 6, 7, 8, 9, 11, 13, 14, 16, 23, 24, 25, 27, 28], "perspective": "1st", "mark_time": 730, "total_time": 2192, "memory_frames_16fps": 481, "memory_latents": 121, "num_latents": 371, "chunks": 50, "height": 480, "width": 864, "history": "sparse", "steps": 50, "seed": 42, "hfov_deg": 90.0, "pred_num_frames": 1462, "prep_sec": 24.1, "gen_sec": 332.69, "decode_sec": 93.33, "write_sec": 7.55, "infer_sec": 457.67, "clip_wall_sec": 457.73, "peak_alloc_gb": 40.76}
+[loci] {"clip": "data-73", "adapter": "loci_sparse", "model_variant": "LOCI-hybrid", "hybrid_layers": [2, 4, 6, 7, 8, 9, 11, 13, 14, 16, 23, 24, 25, 27, 28], "perspective": "1st", "mark_time": 870, "total_time": 2612, "memory_frames_16fps": 561, "memory_latents": 141, "num_latents": 441, "chunks": 60, "height": 480, "width": 864, "history": "sparse", "steps": 50, "seed": 42, "hfov_deg": 90.0, "pred_num_frames": 1742, "prep_sec": 27.69, "gen_sec": 399.56, "decode_sec": 111.09, "write_sec": 7.44, "infer_sec": 545.79, "clip_wall_sec": 545.85, "peak_alloc_gb": 43.21}
+[loci] aggregate -> /private/data_group/weijiawu/code/fgloris/mind-baselines/outputs/loci_sparse/1st_data/timing_shard0.json
diff --git a/loci-sparse/1st_data/logs/shard1.log b/loci-sparse/1st_data/logs/shard1.log
new file mode 100644
index 0000000000000000000000000000000000000000..6c601d55135482fab9645857315ba99cdff74bb8
--- /dev/null
+++ b/loci-sparse/1st_data/logs/shard1.log
@@ -0,0 +1,35 @@
+nohup: ignoring input
+[loci_sparse] shard 1/2: 25 clips, history=sparse, resolution=864x480
+The config attributes {'clip_output': False} were passed to AutoencoderKLWan, but are not expected and will be ignored. Please verify your config.json configuration file.
+
Loading checkpoint shards:   0%|          | 0/3 [00:00<?, ?it/s]
Loading checkpoint shards:  33%|███▎      | 1/3 [00:00<00:01,  1.86it/s]
Loading checkpoint shards:  67%|██████▋   | 2/3 [00:01<00:00,  1.92it/s]
Loading checkpoint shards: 100%|██████████| 3/3 [00:01<00:00,  3.00it/s]
Loading checkpoint shards: 100%|██████████| 3/3 [00:01<00:00,  2.59it/s]
+
Loading checkpoint shards:   0%|          | 0/3 [00:00<?, ?it/s]
Loading checkpoint shards:  33%|███▎      | 1/3 [00:00<00:01,  1.30it/s]
Loading checkpoint shards:  67%|██████▋   | 2/3 [00:01<00:00,  1.26it/s]
Loading checkpoint shards: 100%|██████████| 3/3 [00:01<00:00,  1.89it/s]
+[loci] loaded in 22s, hybrid_layers=15, sampler=flow_euler steps=50
+Current Python version 3.10 is below the recommended 3.11 version. It is recommended to upgrade to Python 3.11 or higher for the best experience.
+/private/data_group/weijiawu/code/fgloris/world-models/LOCI/loci/attention.py:62: UserWarning: FlashAttention-3 unavailable: intra-chunk attention falls back to torch SDPA (outputs are valid samples but not bit-identical to the reference outputs).
+  warnings.warn("FlashAttention-3 unavailable: intra-chunk attention falls back to torch SDPA "
+[loci] {"clip": "data-26", "adapter": "loci_sparse", "model_variant": "LOCI-hybrid", "hybrid_layers": [2, 4, 6, 7, 8, 9, 11, 13, 14, 16, 23, 24, 25, 27, 28], "perspective": "1st", "mark_time": 994, "total_time": 2982, "memory_frames_16fps": 661, "memory_latents": 166, "num_latents": 501, "chunks": 67, "height": 480, "width": 864, "history": "sparse", "steps": 50, "seed": 42, "hfov_deg": 90.0, "pred_num_frames": 1988, "prep_sec": 34.71, "gen_sec": 459.07, "decode_sec": 125.64, "write_sec": 10.55, "infer_sec": 629.97, "clip_wall_sec": 630.1, "peak_alloc_gb": 46.01}
+[loci] {"clip": "data-28", "adapter": "loci_sparse", "model_variant": "LOCI-hybrid", "hybrid_layers": [2, 4, 6, 7, 8, 9, 11, 13, 14, 16, 23, 24, 25, 27, 28], "perspective": "1st", "mark_time": 1112, "total_time": 3336, "memory_frames_16fps": 741, "memory_latents": 186, "num_latents": 561, "chunks": 75, "height": 480, "width": 864, "history": "sparse", "steps": 50, "seed": 42, "hfov_deg": 90.0, "pred_num_frames": 2224, "prep_sec": 36.8, "gen_sec": 502.33, "decode_sec": 140.17, "write_sec": 9.84, "infer_sec": 689.14, "clip_wall_sec": 689.22, "peak_alloc_gb": 48.81}
+[loci] {"clip": "data-30", "adapter": "loci_sparse", "model_variant": "LOCI-hybrid", "hybrid_layers": [2, 4, 6, 7, 8, 9, 11, 13, 14, 16, 23, 24, 25, 27, 28], "perspective": "1st", "mark_time": 281, "total_time": 845, "memory_frames_16fps": 181, "memory_latents": 46, "num_latents": 146, "chunks": 20, "height": 480, "width": 864, "history": "sparse", "steps": 50, "seed": 42, "hfov_deg": 90.0, "pred_num_frames": 564, "prep_sec": 9.29, "gen_sec": 124.19, "decode_sec": 36.35, "write_sec": 2.99, "infer_sec": 172.82, "clip_wall_sec": 172.84, "peak_alloc_gb": 38.55}
+[loci] {"clip": "data-32", "adapter": "loci_sparse", "model_variant": "LOCI-hybrid", "hybrid_layers": [2, 4, 6, 7, 8, 9, 11, 13, 14, 16, 23, 24, 25, 27, 28], "perspective": "1st", "mark_time": 1689, "total_time": 5069, "memory_frames_16fps": 1121, "memory_latents": 281, "num_latents": 851, "chunks": 114, "height": 480, "width": 864, "history": "sparse", "steps": 50, "seed": 42, "hfov_deg": 90.0, "pred_num_frames": 3380, "prep_sec": 56.13, "gen_sec": 762.84, "decode_sec": 214.71, "write_sec": 18.8, "infer_sec": 1052.48, "clip_wall_sec": 1052.59, "peak_alloc_gb": 62.33}
+[loci] {"clip": "data-34", "adapter": "loci_sparse", "model_variant": "LOCI-hybrid", "hybrid_layers": [2, 4, 6, 7, 8, 9, 11, 13, 14, 16, 23, 24, 25, 27, 28], "perspective": "1st", "mark_time": 1216, "total_time": 3649, "memory_frames_16fps": 801, "memory_latents": 201, "num_latents": 611, "chunks": 82, "height": 480, "width": 864, "history": "sparse", "steps": 50, "seed": 42, "hfov_deg": 90.0, "pred_num_frames": 2433, "prep_sec": 40.37, "gen_sec": 548.41, "decode_sec": 152.65, "write_sec": 13.77, "infer_sec": 755.19, "clip_wall_sec": 755.27, "peak_alloc_gb": 51.14}
+[loci] {"clip": "data-36", "adapter": "loci_sparse", "model_variant": "LOCI-hybrid", "hybrid_layers": [2, 4, 6, 7, 8, 9, 11, 13, 14, 16, 23, 24, 25, 27, 28], "perspective": "1st", "mark_time": 422, "total_time": 1268, "memory_frames_16fps": 281, "memory_latents": 71, "num_latents": 216, "chunks": 29, "height": 480, "width": 864, "history": "sparse", "steps": 50, "seed": 42, "hfov_deg": 90.0, "pred_num_frames": 846, "prep_sec": 14.18, "gen_sec": 184.03, "decode_sec": 52.71, "write_sec": 4.2, "infer_sec": 255.12, "clip_wall_sec": 255.15, "peak_alloc_gb": 39.24}
+[loci] {"clip": "data-38", "adapter": "loci_sparse", "model_variant": "LOCI-hybrid", "hybrid_layers": [2, 4, 6, 7, 8, 9, 11, 13, 14, 16, 23, 24, 25, 27, 28], "perspective": "1st", "mark_time": 1800, "total_time": 5400, "memory_frames_16fps": 1181, "memory_latents": 296, "num_latents": 906, "chunks": 122, "height": 480, "width": 864, "history": "sparse", "steps": 50, "seed": 42, "hfov_deg": 90.0, "pred_num_frames": 3600, "prep_sec": 58.63, "gen_sec": 815.0, "decode_sec": 225.05, "write_sec": 23.12, "infer_sec": 1121.79, "clip_wall_sec": 1121.91, "peak_alloc_gb": 64.9}
+[loci] {"clip": "data-40", "adapter": "loci_sparse", "model_variant": "LOCI-hybrid", "hybrid_layers": [2, 4, 6, 7, 8, 9, 11, 13, 14, 16, 23, 24, 25, 27, 28], "perspective": "1st", "mark_time": 851, "total_time": 2553, "memory_frames_16fps": 561, "memory_latents": 141, "num_latents": 431, "chunks": 58, "height": 480, "width": 864, "history": "sparse", "steps": 50, "seed": 42, "hfov_deg": 90.0, "pred_num_frames": 1702, "prep_sec": 28.08, "gen_sec": 386.39, "decode_sec": 106.13, "write_sec": 7.81, "infer_sec": 528.42, "clip_wall_sec": 528.48, "peak_alloc_gb": 42.75}
+[loci] {"clip": "data-42", "adapter": "loci_sparse", "model_variant": "LOCI-hybrid", "hybrid_layers": [2, 4, 6, 7, 8, 9, 11, 13, 14, 16, 23, 24, 25, 27, 28], "perspective": "1st", "mark_time": 971, "total_time": 2914, "memory_frames_16fps": 641, "memory_latents": 161, "num_latents": 491, "chunks": 66, "height": 480, "width": 864, "history": "sparse", "steps": 50, "seed": 42, "hfov_deg": 90.0, "pred_num_frames": 1943, "prep_sec": 31.94, "gen_sec": 440.38, "decode_sec": 120.5, "write_sec": 8.42, "infer_sec": 601.23, "clip_wall_sec": 601.55, "peak_alloc_gb": 45.54}
+[loci] {"clip": "data-44", "adapter": "loci_sparse", "model_variant": "LOCI-hybrid", "hybrid_layers": [2, 4, 6, 7, 8, 9, 11, 13, 14, 16, 23, 24, 25, 27, 28], "perspective": "1st", "mark_time": 558, "total_time": 1674, "memory_frames_16fps": 361, "memory_latents": 91, "num_latents": 281, "chunks": 38, "height": 480, "width": 864, "history": "sparse", "steps": 50, "seed": 42, "hfov_deg": 90.0, "pred_num_frames": 1116, "prep_sec": 17.92, "gen_sec": 246.79, "decode_sec": 69.02, "write_sec": 5.45, "infer_sec": 339.18, "clip_wall_sec": 339.23, "peak_alloc_gb": 39.88}
+[loci] {"clip": "data-46", "adapter": "loci_sparse", "model_variant": "LOCI-hybrid", "hybrid_layers": [2, 4, 6, 7, 8, 9, 11, 13, 14, 16, 23, 24, 25, 27, 28], "perspective": "1st", "mark_time": 1156, "total_time": 3469, "memory_frames_16fps": 761, "memory_latents": 191, "num_latents": 581, "chunks": 78, "height": 480, "width": 864, "history": "sparse", "steps": 50, "seed": 42, "hfov_deg": 90.0, "pred_num_frames": 2313, "prep_sec": 38.04, "gen_sec": 505.92, "decode_sec": 142.82, "write_sec": 10.49, "infer_sec": 697.28, "clip_wall_sec": 697.36, "peak_alloc_gb": 49.74}
+[loci] {"clip": "data-48", "adapter": "loci_sparse", "model_variant": "LOCI-hybrid", "hybrid_layers": [2, 4, 6, 7, 8, 9, 11, 13, 14, 16, 23, 24, 25, 27, 28], "perspective": "1st", "mark_time": 971, "total_time": 2913, "memory_frames_16fps": 641, "memory_latents": 161, "num_latents": 491, "chunks": 66, "height": 480, "width": 864, "history": "sparse", "steps": 50, "seed": 42, "hfov_deg": 90.0, "pred_num_frames": 1942, "prep_sec": 31.58, "gen_sec": 440.2, "decode_sec": 120.52, "write_sec": 9.96, "infer_sec": 602.25, "clip_wall_sec": 602.32, "peak_alloc_gb": 45.54}
+[loci] {"clip": "data-50", "adapter": "loci_sparse", "model_variant": "LOCI-hybrid", "hybrid_layers": [2, 4, 6, 7, 8, 9, 11, 13, 14, 16, 23, 24, 25, 27, 28], "perspective": "1st", "mark_time": 600, "total_time": 1800, "memory_frames_16fps": 381, "memory_latents": 96, "num_latents": 306, "chunks": 42, "height": 480, "width": 864, "history": "sparse", "steps": 50, "seed": 42, "hfov_deg": 90.0, "pred_num_frames": 1200, "prep_sec": 19.38, "gen_sec": 263.07, "decode_sec": 74.67, "write_sec": 6.67, "infer_sec": 363.78, "clip_wall_sec": 363.82, "peak_alloc_gb": 40.12}
+[loci] {"clip": "data-52", "adapter": "loci_sparse", "model_variant": "LOCI-hybrid", "hybrid_layers": [2, 4, 6, 7, 8, 9, 11, 13, 14, 16, 23, 24, 25, 27, 28], "perspective": "1st", "mark_time": 2289, "total_time": 6867, "memory_frames_16fps": 1521, "memory_latents": 381, "num_latents": 1151, "chunks": 154, "height": 480, "width": 864, "history": "sparse", "steps": 50, "seed": 42, "hfov_deg": 90.0, "pred_num_frames": 4578, "prep_sec": 78.91, "gen_sec": 1032.97, "decode_sec": 294.77, "write_sec": 29.73, "infer_sec": 1436.38, "clip_wall_sec": 1436.55, "peak_alloc_gb": 76.33}
+[loci] {"clip": "data-54", "adapter": "loci_sparse", "model_variant": "LOCI-hybrid", "hybrid_layers": [2, 4, 6, 7, 8, 9, 11, 13, 14, 16, 23, 24, 25, 27, 28], "perspective": "1st", "mark_time": 2299, "total_time": 6795, "memory_frames_16fps": 1521, "memory_latents": 381, "num_latents": 1136, "chunks": 151, "height": 480, "width": 864, "history": "sparse", "steps": 50, "seed": 42, "hfov_deg": 90.0, "pred_num_frames": 4496, "prep_sec": 76.57, "gen_sec": 1010.13, "decode_sec": 291.66, "write_sec": 21.7, "infer_sec": 1400.06, "clip_wall_sec": 1400.2, "peak_alloc_gb": 75.63}
+[loci] {"clip": "data-56", "adapter": "loci_sparse", "model_variant": "LOCI-hybrid", "hybrid_layers": [2, 4, 6, 7, 8, 9, 11, 13, 14, 16, 23, 24, 25, 27, 28], "perspective": "1st", "mark_time": 2171, "total_time": 6513, "memory_frames_16fps": 1441, "memory_latents": 361, "num_latents": 1091, "chunks": 146, "height": 480, "width": 864, "history": "sparse", "steps": 50, "seed": 42, "hfov_deg": 90.0, "pred_num_frames": 4342, "prep_sec": 71.73, "gen_sec": 976.98, "decode_sec": 279.47, "write_sec": 21.66, "infer_sec": 1349.83, "clip_wall_sec": 1350.0, "peak_alloc_gb": 73.53}
+[loci] {"clip": "data-58", "adapter": "loci_sparse", "model_variant": "LOCI-hybrid", "hybrid_layers": [2, 4, 6, 7, 8, 9, 11, 13, 14, 16, 23, 24, 25, 27, 28], "perspective": "1st", "mark_time": 1064, "total_time": 3193, "memory_frames_16fps": 701, "memory_latents": 176, "num_latents": 536, "chunks": 72, "height": 480, "width": 864, "history": "sparse", "steps": 50, "seed": 42, "hfov_deg": 90.0, "pred_num_frames": 2129, "prep_sec": 35.23, "gen_sec": 480.76, "decode_sec": 136.25, "write_sec": 8.89, "infer_sec": 661.12, "clip_wall_sec": 661.21, "peak_alloc_gb": 47.64}
+[loci] {"clip": "data-60", "adapter": "loci_sparse", "model_variant": "LOCI-hybrid", "hybrid_layers": [2, 4, 6, 7, 8, 9, 11, 13, 14, 16, 23, 24, 25, 27, 28], "perspective": "1st", "mark_time": 873, "total_time": 2620, "memory_frames_16fps": 581, "memory_latents": 146, "num_latents": 441, "chunks": 59, "height": 480, "width": 864, "history": "sparse", "steps": 50, "seed": 42, "hfov_deg": 90.0, "pred_num_frames": 1747, "prep_sec": 29.77, "gen_sec": 395.31, "decode_sec": 111.67, "write_sec": 6.75, "infer_sec": 543.49, "clip_wall_sec": 543.55, "peak_alloc_gb": 43.21}
+[loci] {"clip": "data-62", "adapter": "loci_sparse", "model_variant": "LOCI-hybrid", "hybrid_layers": [2, 4, 6, 7, 8, 9, 11, 13, 14, 16, 23, 24, 25, 27, 28], "perspective": "1st", "mark_time": 920, "total_time": 2761, "memory_frames_16fps": 601, "memory_latents": 151, "num_latents": 466, "chunks": 63, "height": 480, "width": 864, "history": "sparse", "steps": 50, "seed": 42, "hfov_deg": 90.0, "pred_num_frames": 1841, "prep_sec": 30.05, "gen_sec": 419.53, "decode_sec": 117.17, "write_sec": 10.62, "infer_sec": 577.38, "clip_wall_sec": 577.44, "peak_alloc_gb": 44.38}
+[loci] {"clip": "data-64", "adapter": "loci_sparse", "model_variant": "LOCI-hybrid", "hybrid_layers": [2, 4, 6, 7, 8, 9, 11, 13, 14, 16, 23, 24, 25, 27, 28], "perspective": "1st", "mark_time": 1573, "total_time": 4721, "memory_frames_16fps": 1041, "memory_latents": 261, "num_latents": 791, "chunks": 106, "height": 480, "width": 864, "history": "sparse", "steps": 50, "seed": 42, "hfov_deg": 90.0, "pred_num_frames": 3148, "prep_sec": 52.02, "gen_sec": 707.04, "decode_sec": 200.89, "write_sec": 15.38, "infer_sec": 975.33, "clip_wall_sec": 975.8, "peak_alloc_gb": 59.54}
+[loci] {"clip": "data-66", "adapter": "loci_sparse", "model_variant": "LOCI-hybrid", "hybrid_layers": [2, 4, 6, 7, 8, 9, 11, 13, 14, 16, 23, 24, 25, 27, 28], "perspective": "1st", "mark_time": 490, "total_time": 1471, "memory_frames_16fps": 321, "memory_latents": 81, "num_latents": 251, "chunks": 34, "height": 480, "width": 864, "history": "sparse", "steps": 50, "seed": 42, "hfov_deg": 90.0, "pred_num_frames": 981, "prep_sec": 16.16, "gen_sec": 225.13, "decode_sec": 63.0, "write_sec": 3.8, "infer_sec": 308.09, "clip_wall_sec": 308.15, "peak_alloc_gb": 39.58}
+[loci] {"clip": "data-68", "adapter": "loci_sparse", "model_variant": "LOCI-hybrid", "hybrid_layers": [2, 4, 6, 7, 8, 9, 11, 13, 14, 16, 23, 24, 25, 27, 28], "perspective": "1st", "mark_time": 801, "total_time": 2405, "memory_frames_16fps": 521, "memory_latents": 131, "num_latents": 406, "chunks": 55, "height": 480, "width": 864, "history": "sparse", "steps": 50, "seed": 42, "hfov_deg": 90.0, "pred_num_frames": 1604, "prep_sec": 25.98, "gen_sec": 366.04, "decode_sec": 101.83, "write_sec": 9.22, "infer_sec": 503.07, "clip_wall_sec": 503.16, "peak_alloc_gb": 41.58}
+[loci] {"clip": "data-70", "adapter": "loci_sparse", "model_variant": "LOCI-hybrid", "hybrid_layers": [2, 4, 6, 7, 8, 9, 11, 13, 14, 16, 23, 24, 25, 27, 28], "perspective": "1st", "mark_time": 985, "total_time": 2956, "memory_frames_16fps": 641, "memory_latents": 161, "num_latents": 496, "chunks": 67, "height": 480, "width": 864, "history": "sparse", "steps": 50, "seed": 42, "hfov_deg": 90.0, "pred_num_frames": 1971, "prep_sec": 31.86, "gen_sec": 445.93, "decode_sec": 125.11, "write_sec": 8.5, "infer_sec": 611.41, "clip_wall_sec": 611.48, "peak_alloc_gb": 45.78}
+[loci] {"clip": "data-72", "adapter": "loci_sparse", "model_variant": "LOCI-hybrid", "hybrid_layers": [2, 4, 6, 7, 8, 9, 11, 13, 14, 16, 23, 24, 25, 27, 28], "perspective": "1st", "mark_time": 2406, "total_time": 7219, "memory_frames_16fps": 1601, "memory_latents": 401, "num_latents": 1206, "chunks": 161, "height": 480, "width": 864, "history": "sparse", "steps": 50, "seed": 42, "hfov_deg": 90.0, "pred_num_frames": 4813, "prep_sec": 79.65, "gen_sec": 1075.35, "decode_sec": 308.86, "write_sec": 27.18, "infer_sec": 1491.03, "clip_wall_sec": 1491.23, "peak_alloc_gb": 78.89}
+[loci] {"clip": "data-74", "adapter": "loci_sparse", "model_variant": "LOCI-hybrid", "hybrid_layers": [2, 4, 6, 7, 8, 9, 11, 13, 14, 16, 23, 24, 25, 27, 28], "perspective": "1st", "mark_time": 1747, "total_time": 5242, "memory_frames_16fps": 1161, "memory_latents": 291, "num_latents": 876, "chunks": 117, "height": 480, "width": 864, "history": "sparse", "steps": 50, "seed": 42, "hfov_deg": 90.0, "pred_num_frames": 3495, "prep_sec": 57.92, "gen_sec": 780.23, "decode_sec": 222.42, "write_sec": 16.74, "infer_sec": 1077.31, "clip_wall_sec": 1077.48, "peak_alloc_gb": 63.5}
+[loci] aggregate -> /private/data_group/weijiawu/code/fgloris/mind-baselines/outputs/loci_sparse/1st_data/timing_shard1.json
diff --git a/loci-sparse/1st_data/mem_test/data-25/meta.json b/loci-sparse/1st_data/mem_test/data-25/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..68d2099cd9b87d305b94785ba6cc6b7ba046095f
--- /dev/null
+++ b/loci-sparse/1st_data/mem_test/data-25/meta.json
@@ -0,0 +1,43 @@
+{
+  "clip": "data-25",
+  "adapter": "loci_sparse",
+  "model_variant": "LOCI-hybrid",
+  "hybrid_layers": [
+    2,
+    4,
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+  "perspective": "1st",
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+  "total_time": 4352,
+  "memory_frames_16fps": 961,
+  "memory_latents": 241,
+  "num_latents": 731,
+  "chunks": 98,
+  "height": 480,
+  "width": 864,
+  "history": "sparse",
+  "steps": 50,
+  "seed": 42,
+  "hfov_deg": 90.0,
+  "pred_num_frames": 2887,
+  "prep_sec": 49.21,
+  "gen_sec": 666.51,
+  "decode_sec": 190.35,
+  "write_sec": 14.95,
+  "infer_sec": 921.03,
+  "clip_wall_sec": 921.11,
+  "peak_alloc_gb": 56.74
+}
\ No newline at end of file
diff --git a/loci-sparse/1st_data/mem_test/data-25/predicted.mp4 b/loci-sparse/1st_data/mem_test/data-25/predicted.mp4
new file mode 100644
index 0000000000000000000000000000000000000000..5f478fe0ecbc4d7a0826f9228655119fcda4df9b
--- /dev/null
+++ b/loci-sparse/1st_data/mem_test/data-25/predicted.mp4
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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diff --git a/loci-sparse/1st_data/mem_test/data-26/meta.json b/loci-sparse/1st_data/mem_test/data-26/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..6e6633ccd79d0e5e770420eb78ce5776bcb06587
--- /dev/null
+++ b/loci-sparse/1st_data/mem_test/data-26/meta.json
@@ -0,0 +1,43 @@
+{
+  "clip": "data-26",
+  "adapter": "loci_sparse",
+  "model_variant": "LOCI-hybrid",
+  "hybrid_layers": [
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+  "memory_latents": 166,
+  "num_latents": 501,
+  "chunks": 67,
+  "height": 480,
+  "width": 864,
+  "history": "sparse",
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+  "seed": 42,
+  "hfov_deg": 90.0,
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+  "prep_sec": 34.71,
+  "gen_sec": 459.07,
+  "decode_sec": 125.64,
+  "write_sec": 10.55,
+  "infer_sec": 629.97,
+  "clip_wall_sec": 630.1,
+  "peak_alloc_gb": 46.01
+}
\ No newline at end of file
diff --git a/loci-sparse/1st_data/mem_test/data-26/predicted.mp4 b/loci-sparse/1st_data/mem_test/data-26/predicted.mp4
new file mode 100644
index 0000000000000000000000000000000000000000..3f105ecffc81da66d13f9334a4a567be3b24e264
--- /dev/null
+++ b/loci-sparse/1st_data/mem_test/data-26/predicted.mp4
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
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+size 116140563
diff --git a/loci-sparse/1st_data/mem_test/data-27/meta.json b/loci-sparse/1st_data/mem_test/data-27/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..6f719fe511a7c4562fd8ff4d68412467af783663
--- /dev/null
+++ b/loci-sparse/1st_data/mem_test/data-27/meta.json
@@ -0,0 +1,43 @@
+{
+  "clip": "data-27",
+  "adapter": "loci_sparse",
+  "model_variant": "LOCI-hybrid",
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+  "memory_frames_16fps": 1341,
+  "memory_latents": 336,
+  "num_latents": 1006,
+  "chunks": 134,
+  "height": 480,
+  "width": 864,
+  "history": "sparse",
+  "steps": 50,
+  "seed": 42,
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+}
\ No newline at end of file
diff --git a/loci-sparse/1st_data/timing_shard1.json b/loci-sparse/1st_data/timing_shard1.json
new file mode 100644
index 0000000000000000000000000000000000000000..1f28b9c3e57dc302e903f79c7f9ff23826f294dd
--- /dev/null
+++ b/loci-sparse/1st_data/timing_shard1.json
@@ -0,0 +1,1083 @@
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+        6,
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+        25,
+        27,
+        28
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+      "perspective": "1st",
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+      "total_time": 5242,
+      "memory_frames_16fps": 1161,
+      "memory_latents": 291,
+      "num_latents": 876,
+      "chunks": 117,
+      "height": 480,
+      "width": 864,
+      "history": "sparse",
+      "steps": 50,
+      "seed": 42,
+      "hfov_deg": 90.0,
+      "pred_num_frames": 3495,
+      "prep_sec": 57.92,
+      "gen_sec": 780.23,
+      "decode_sec": 222.42,
+      "write_sec": 16.74,
+      "infer_sec": 1077.31,
+      "clip_wall_sec": 1077.48,
+      "peak_alloc_gb": 63.5
+    }
+  ],
+  "total_infer_sec": 18743.15,
+  "mean_infer_sec": 749.73
+}
\ No newline at end of file