{ "notes": [ "$ /usr/bin/python3 -m pip install --no-cache-dir -q huggingface_hub safetensors torchvision tqdm -> rc 0", "$ git clone -q https://github.com/VAST-AI-Research/TripoSplat.git /kaggle/working/TripoSplat -> rc 0", "$ git -C /kaggle/working/TripoSplat checkout -q d8db9e0 -> rc 0", "dequantised 559 tensors", "load_state_dict ", "image (853, 1280)", "cond {\"cond_feature1\": [1, 4101, 1280], \"cond_feature2\": [1, 4101, 128]}", " randn #1 (1, 8192, 16)", " randn #2 (1, 1, 5)", "noise_0.npy (1, 8192, 16) float32", "noise_1.npy (1, 1, 5) float32", " randn #1 (1, 8192, 16)", " randn #2 (1, 1, 5)", "latent1 vs latent2 cos 0.9503333568572998", "decode {\"run\": 0, \"decode_s\": 0.66, \"opacity_mean\": 0.3962, \"scale_mean\": 0.00668}", "decode {\"run\": 1, \"decode_s\": 0.43, \"opacity_mean\": 0.3922, \"scale_mean\": 0.0066}", "decode {\"run\": 2, \"decode_s\": 0.44, \"opacity_mean\": 0.399, \"scale_mean\": 0.00659}", "decode {\"run\": 3, \"decode_s\": 0.43, \"opacity_mean\": 0.4197, \"scale_mean\": 0.00658}", "spread {\"opacity_min\": 0.3922, \"opacity_max\": 0.4197, \"scale_min\": 0.00658, \"scale_max\": 0.00668, \"note\": \"k2n fp32 student: opacity 0.4978 scale 0.00571; k2q int4: 0.4228 / 0.00641\"}", "uploaded cond_feature1.npy 21.0 MB", "uploaded cond_feature2.npy 2.1 MB", "uploaded hf_0000.jpg 0.09 MB", "uploaded hf_0000_int4_i02.ply 4.46 MB", "uploaded latent1_camera.npy 0.0 MB", "uploaded latent1_latent.npy 0.52 MB", "uploaded latent2_camera.npy 0.0 MB", "uploaded latent2_latent.npy 0.52 MB", "uploaded noise_0.npy 0.52 MB", "uploaded noise_1.npy 0.0 MB", "uploaded prepared.png 0.45 MB" ], "decode_spread": [ { "run": 0, "decode_s": 0.66, "opacity_mean": 0.3962, "scale_mean": 0.00668 }, { "run": 1, "decode_s": 0.43, "opacity_mean": 0.3922, "scale_mean": 0.0066 }, { "run": 2, "decode_s": 0.44, "opacity_mean": 0.399, "scale_mean": 0.00659 }, { "run": 3, "decode_s": 0.43, "opacity_mean": 0.4197, "scale_mean": 0.00658 } ], "fixtures": { "cond_feature1": [ 1, 4101, 1280 ], "cond_feature2": [ 1, 4101, 128 ] }, "noise_shapes": [ [ 1, 8192, 16 ], [ 1, 1, 5 ] ], "spread": { "opacity_min": 0.3922, "opacity_max": 0.4197, "scale_min": 0.00658, "scale_max": 0.00668, "note": "k2n fp32 student: opacity 0.4978 scale 0.00571; k2q int4: 0.4228 / 0.00641" } }