{
  "check_exit_status": "yes",
  "customize": {
    "*package_name": "TFLite EfficientNet Model ($<<MODEL_EFFICIENTNET_LITE_KIND>>$-$<<ML_MODEL_DATA_TYPE>>$)",
    "version": "v1",
    "install_env": {
      "*ML_MODEL_MODEL_NAME": "efficientnet_$<<MODEL_EFFICIENTNET_LITE_KIND>>$_$<<MODEL_RESOLUTION>>$_$<<ML_MODEL_DATA_TYPE>>$",
      "*PACKAGE_NAME": "efficientnet-$<<MODEL_EFFICIENTNET_LITE_KIND>>$.tar.gz",
      "*PACKAGE_NAME_EFFICIENTNET_LITE": "efficientnet-$<<MODEL_EFFICIENTNET_LITE_KIND>>$",
      "*PACKAGE_NAME_EFFICIENTNET_LITE_WITH_PRECISION": "efficientnet-$<<MODEL_EFFICIENTNET_LITE_KIND>>$-$<<ML_MODEL_DATA_TYPE>>$",
      "WEIGHTS_FILE": "model.ckpt",
      "ML_MODEL_FILE_FORMAT": "tflite",
      "ML_MODEL_DATA_LAYOUT": "NHWC",
      "*MODEL_IMAGE_HEIGHT": "$<<MODEL_RESOLUTION>>$",
      "*MODEL_IMAGE_WIDTH": "$<<MODEL_RESOLUTION>>$",
      "MODEL_INPUT_LAYER_NAME": "images",
      "MODEL_SUBTRACT_MEAN": "0",
      "MODEL_NORMALIZE_DATA": "YES",
      "MODEL_OUTPUT_LAYER_NAME": "Softmax",
      "MODEL_WEIGHTS_ARE_CHECKPOINTS": "YES",
      "PACKAGE_URL": "https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/lite"
    },
    "no_os_in_suggested_path": "yes",
    "no_ver_in_suggested_path": "yes",
    "skip_file_check": "yes"
  },
  "end_full_path_universal": "model.ckpt.meta",
  "only_for_host_os_tags": [],
  "only_for_target_os_tags": [],
  "process_script": "install",
  "soft_uoa": "439b9f1757f27091",
  "suggested_path": "model-tflite-mlperf-efficientnet-lite-downloaded",
  "tags": [
    "model",
    "image-classification",
    "tflite",
    "nhwc",
    "efficientnet",
    "effnet",
    "mlperf",
    "weights",
    "python",
    "frozen",
    "downloaded"
  ],
  "use_scripts_from_another_entry": {
    "data_uoa": "4f99bd653a4cf94b",
    "module_uoa": "script"
  },
  "variations": {
    "from.googleapis": {
      "extra_env": {
        "PACKAGE_URL": "https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/lite"
      },
      "on_by_default": "yes"
    },
    "lite0": {
      "extra_env": {
        "MODEL_RESOLUTION": "224",
        "MODEL_EFFICIENTNET_LITE_KIND": "lite0"
      },
      "extra_tags": [
        "side.224"
      ],
      "on_by_default": "yes"
    },
    "lite1": {
      "extra_env": {
        "MODEL_RESOLUTION": "240",
        "MODEL_EFFICIENTNET_LITE_KIND": "lite1"
      },
      "extra_tags": [
        "side.240"
      ]
    },
    "lite2": {
      "extra_env": {
        "MODEL_RESOLUTION": "260",
        "MODEL_EFFICIENTNET_LITE_KIND": "lite2"
      },
      "extra_tags": [
        "side.260"
      ]
    },
    "lite3": {
      "extra_env": {
        "MODEL_RESOLUTION": "280",
        "MODEL_EFFICIENTNET_LITE_KIND": "lite3"
      },
      "extra_tags": [
        "side.280"
      ]
    },
    "lite4": {
      "extra_env": {
        "MODEL_RESOLUTION": "300",
        "MODEL_EFFICIENTNET_LITE_KIND": "lite4"
      },
      "extra_tags": [
        "side.300"
      ]
    },
    "quantized": {
      "extra_env": {
        "ML_MODEL_INPUT_DATA_TYPE": "uint8",
        "ML_MODEL_OUTPUT_DATA_TYPE": "uint8",
        "ML_MODEL_DATA_TYPE": "int8"
      },
      "extra_tags": [
        "int8"
      ],
      "on_by_default": "yes"
    },
    "non-quantized": {
      "extra_env": {
        "ML_MODEL_INPUT_DATA_TYPE": "float32",
        "ML_MODEL_OUTPUT_DATA_TYPE": "float32",
        "ML_MODEL_DATA_TYPE": "fp32"
      },
      "extra_tags": [
        "fp32", "float", "float32"
      ]
    }
  }
}