{
  "strict_load": true,
  "source_tensor_bytes_equal": true,
  "checks": [
    {
      "name": "1335_source_tensor_payloads",
      "passed": true
    },
    {
      "name": "native_strict_load",
      "passed": true
    },
    {
      "name": "eight_4096_by_8_codebooks",
      "passed": true
    },
    {
      "name": "token_geometry",
      "passed": true,
      "shape": [
        1,
        8,
        256
      ]
    },
    {
      "name": "per_codebook_ID_bounds",
      "passed": true
    },
    {
      "name": "normalized_lookup_exact",
      "passed": true
    },
    {
      "name": "decode_ID_lookup_exact",
      "passed": true
    },
    {
      "name": "finite_RGB_reconstruction",
      "passed": true,
      "mse": 0.0007349226507358253
    },
    {
      "name": "native_quantizer_reconstruction_bound",
      "passed": true,
      "max_abs": 1.0728836059570312e-06
    },
    {
      "name": "semantic_image_features",
      "passed": true
    },
    {
      "name": "semantic_text_features",
      "passed": true
    }
  ],
  "smoke": {
    "passed": true,
    "device": "cpu",
    "dtype": "float32",
    "resolution": [
      256,
      256
    ]
  },
  "environment": {
    "torch": "2.14.1",
    "torchvision": "0.29.1",
    "timm": "1.0.8",
    "safetensors": "0.8.0",
    "typed-argument-parser": "1.12.0",
    "pytz": "2026.5"
  },
  "text_implementation": "Unchanged official project-vendored native.open_clip.transformer.TextTransformer, same configured default constructor branch. External OpenCLIP is not imported.",
  "elapsed_seconds": 90.44274949999817,
  "limitations": [
    "Synthetic native codec and semantic feature fixtures; no downstream image quality, retrieval, VQA or text-to-image benchmark.",
    "This is the complete trained tokenizer mapping including its semantic text tower; no language generator is included.",
    "The eight codebooks each have 4096 entries of width 8. The sum of entries is 32768; IDs are local to each codebook."
  ]
}