testbed/aws__sagemaker-python-sdk/tests/unit/sagemaker/jumpstart/constants.py

# Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You
# may not use this file except in compliance with the License. A copy of
# the License is located at
#
#     http://aws.amazon.com/apache2.0/
#
# or in the "license" file accompanying this file. This file is
# distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF
# ANY KIND, either express or implied. See the License for the specific
# language governing permissions and limitations under the License.
from __future__ import absolute_import

PROTOTYPICAL_MODEL_SPECS_DICT = {
    "pytorch-eqa-bert-base-cased": {
        "model_id": "pytorch-eqa-bert-base-cased",
        "url": "https://pytorch.org/hub/huggingface_pytorch-transformers/",
        "version": "1.0.0",
        "min_sdk_version": "2.68.1",
        "training_supported": True,
        "incremental_training_supported": False,
        "hosting_ecr_specs": {
            "framework": "pytorch",
            "framework_version": "1.5.0",
            "py_version": "py3",
        },
        "hosting_artifact_key": "pytorch-infer/infer-pytorch-eqa-bert-base-cased.tar.gz",
        "hosting_script_key": "source-directory-tarballs/pytorch/inference/eqa/v1.0.0/sourcedir.tar.gz",
        "inference_vulnerable": False,
        "inference_dependencies": [
            "transformers==3.5.1",
            "dataclasses==0.8",
            "filelock==3.0.12",
            "packaging==20.8",
            "pyparsing==2.4.7",
            "regex==2020.11.13",
            "sacremoses==0.0.43",
            "sentencepiece==0.1.91",
            "tokenizers==0.9.3",
        ],
        "inference_vulnerabilities": [],
        "training_vulnerable": False,
        "training_dependencies": [
            "transformers==3.5.1",
            "dataclasses==0.8",
            "filelock==3.0.12",
            "packaging==20.8",
            "pyparsing==2.4.7",
            "regex==2020.11.13",
            "sacremoses==0.0.43",
            "sentencepiece==0.1.91",
            "tokenizers==0.9.3",
        ],
        "training_vulnerabilities": [],
        "deprecated": False,
        "hyperparameters": [
            {
                "name": "epochs",
                "type": "int",
                "default": 3,
                "min": 1,
                "max": 1000,
                "scope": "algorithm",
            },
            {
                "name": "adam-learning-rate",
                "type": "float",
                "default": 2e-05,
                "min": 1e-08,
                "max": 1,
                "scope": "algorithm",
            },
            {
                "name": "batch-size",
                "type": "int",
                "default": 4,
                "min": 1,
                "max": 1024,
                "scope": "algorithm",
            },
            {
                "name": "sagemaker_submit_directory",
                "type": "text",
                "default": "/opt/ml/input/data/code/sourcedir.tar.gz",
                "scope": "container",
            },
            {
                "name": "sagemaker_program",
                "type": "text",
                "default": "transfer_learning.py",
                "scope": "container",
            },
            {
                "name": "sagemaker_container_log_level",
                "type": "text",
                "default": "20",
                "scope": "container",
            },
        ],
        "training_script_key": "source-directory-tarballs/pytorch/transfer_learning/eqa/v1.0.0/sourcedir.tar.gz",
        "training_ecr_specs": {
            "framework_version": "1.5.0",
            "framework": "pytorch",
            "py_version": "py3",
        },
        "training_artifact_key": "pytorch-training/train-pytorch-eqa-bert-base-cased.tar.gz",
        "inference_environment_variables": [
            {
                "name": "SAGEMAKER_PROGRAM",
                "type": "text",
                "default": "inference.py",
                "scope": "container",
            },
            {
                "name": "SAGEMAKER_SUBMIT_DIRECTORY",
                "type": "text",
                "default": "/opt/ml/model/code",
                "scope": "container",
            },
            {
                "name": "SAGEMAKER_CONTAINER_LOG_LEVEL",
                "type": "text",
                "default": "20",
                "scope": "container",
            },
            {
                "name": "MODEL_CACHE_ROOT",
                "type": "text",
                "default": "/opt/ml/model",
                "scope": "container",
            },
            {"name": "SAGEMAKER_ENV", "type": "text", "default": "1", "scope": "container"},
            {
                "name": "SAGEMAKER_MODEL_SERVER_WORKERS",
                "type": "text",
                "default": "1",
                "scope": "container",
            },
            {
                "name": "SAGEMAKER_MODEL_SERVER_TIMEOUT",
                "type": "text",
                "default": "3600",
                "scope": "container",
            },
        ],
    },
    "tensorflow-ic-bit-m-r101x1-ilsvrc2012-classification-1": {
        "model_id": "tensorflow-ic-bit-m-r101x1-ilsvrc2012-classification-1",
        "url": "https://tfhub.dev/google/bit/m-r101x1/ilsvrc2012_classification/1",
        "version": "1.0.0",
        "min_sdk_version": "2.68.1",
        "training_supported": True,
        "incremental_training_supported": False,
        "hosting_ecr_specs": {
            "framework": "tensorflow",
            "framework_version": "2.3",
            "py_version": "py37",
        },
        "hosting_artifact_key": "tensorflow-infer/infer-tensorflow-ic-bit-m-r101x1-ilsvrc2012-classification-1.tar.gz",
        "hosting_script_key": "source-directory-tarballs/tensorflow/inference/ic/v1.0.0/sourcedir.tar.gz",
        "inference_vulnerable": False,
        "inference_dependencies": [],
        "inference_vulnerabilities": [],
        "training_vulnerable": False,
        "training_dependencies": [],
        "training_vulnerabilities": [],
        "deprecated": False,
        "hyperparameters": [
            {
                "name": "epochs",
                "type": "int",
                "default": 3,
                "min": 1,
                "max": 1000,
                "scope": "algorithm",
            },
            {
                "name": "adam-learning-rate",
                "type": "float",
                "default": 0.05,
                "min": 1e-08,
                "max": 1,
                "scope": "algorithm",
            },
            {
                "name": "batch-size",
                "type": "int",
                "default": 4,
                "min": 1,
                "max": 1024,
                "scope": "algorithm",
            },
            {
                "name": "sagemaker_submit_directory",
                "type": "text",
                "default": "/opt/ml/input/data/code/sourcedir.tar.gz",
                "scope": "container",
            },
            {
                "name": "sagemaker_program",
                "type": "text",
                "default": "transfer_learning.py",
                "scope": "container",
            },
            {
                "name": "sagemaker_container_log_level",
                "type": "text",
                "default": "20",
                "scope": "container",
            },
        ],
        "training_script_key": "source-directory-tarballs/tensorflow/transfer_learning/ic/v1.0.0/sourcedir.tar.gz",
        "training_ecr_specs": {
            "framework_version": "2.3",
            "framework": "tensorflow",
            "py_version": "py37",
        },
        "training_artifact_key": "tensorflow-training/train-tensorflow-ic-bit-"
        "m-r101x1-ilsvrc2012-classification-1.tar.gz",
        "inference_environment_variables": [
            {
                "name": "SAGEMAKER_PROGRAM",
                "type": "text",
                "default": "inference.py",
                "scope": "container",
            },
            {
                "name": "SAGEMAKER_SUBMIT_DIRECTORY",
                "type": "text",
                "default": "/opt/ml/model/code",
                "scope": "container",
            },
            {
                "name": "SAGEMAKER_CONTAINER_LOG_LEVEL",
                "type": "text",
                "default": "20",
                "scope": "container",
            },
            {
                "name": "MODEL_CACHE_ROOT",
                "type": "text",
                "default": "/opt/ml/model",
                "scope": "container",
            },
            {"name": "SAGEMAKER_ENV", "type": "text", "default": "1", "scope": "container"},
            {
                "name": "SAGEMAKER_MODEL_SERVER_WORKERS",
                "type": "text",
                "default": "1",
                "scope": "container",
            },
            {
                "name": "SAGEMAKER_MODEL_SERVER_TIMEOUT",
                "type": "text",
                "default": "3600",
                "scope": "container",
            },
        ],
    },
    "mxnet-semseg-fcn-resnet50-ade": {
        "model_id": "mxnet-semseg-fcn-resnet50-ade",
        "url": "https://cv.gluon.ai/model_zoo/segmentation.html",
        "version": "1.0.0",
        "min_sdk_version": "2.68.1",
        "training_supported": True,
        "incremental_training_supported": False,
        "hosting_ecr_specs": {
            "framework": "mxnet",
            "framework_version": "1.7.0",
            "py_version": "py3",
        },
        "hosting_artifact_key": "mxnet-infer/infer-mxnet-semseg-fcn-resnet50-ade.tar.gz",
        "hosting_script_key": "source-directory-tarballs/mxnet/inference/semseg/v1.0.0/sourcedir.tar.gz",
        "inference_vulnerable": False,
        "inference_dependencies": [],
        "inference_vulnerabilities": [],
        "training_vulnerable": False,
        "training_dependencies": ["numpy==1.19.5", "opencv_python==4.0.1.23"],
        "training_vulnerabilities": [],
        "deprecated": False,
        "hyperparameters": [
            {
                "name": "epochs",
                "type": "int",
                "default": 5,
                "min": 1,
                "max": 1000,
                "scope": "algorithm",
            },
            {
                "name": "adam-learning-rate",
                "type": "float",
                "default": 0.001,
                "min": 1e-08,
                "max": 1,
                "scope": "algorithm",
            },
            {
                "name": "batch-size",
                "type": "int",
                "default": 2,
                "min": 1,
                "max": 1024,
                "scope": "algorithm",
            },
            {
                "name": "sagemaker_submit_directory",
                "type": "text",
                "default": "/opt/ml/input/data/code/sourcedir.tar.gz",
                "scope": "container",
            },
            {
                "name": "sagemaker_program",
                "type": "text",
                "default": "transfer_learning.py",
                "scope": "container",
            },
            {
                "name": "sagemaker_container_log_level",
                "type": "text",
                "default": "20",
                "scope": "container",
            },
        ],
        "training_script_key": "source-directory-tarballs/mxnet/transfer_learning/semseg/v1.0.0/sourcedir.tar.gz",
        "training_ecr_specs": {
            "framework_version": "1.7.0",
            "framework": "mxnet",
            "py_version": "py3",
        },
        "training_artifact_key": "mxnet-training/train-mxnet-semseg-fcn-resnet50-ade.tar.gz",
        "inference_environment_variables": [
            {
                "name": "SAGEMAKER_PROGRAM",
                "type": "text",
                "default": "inference.py",
                "scope": "container",
            },
            {
                "name": "SAGEMAKER_SUBMIT_DIRECTORY",
                "type": "text",
                "default": "/opt/ml/model/code",
                "scope": "container",
            },
            {
                "name": "SAGEMAKER_CONTAINER_LOG_LEVEL",
                "type": "text",
                "default": "20",
                "scope": "container",
            },
            {
                "name": "MODEL_CACHE_ROOT",
                "type": "text",
                "default": "/opt/ml/model",
                "scope": "container",
            },
            {"name": "SAGEMAKER_ENV", "type": "text", "default": "1", "scope": "container"},
            {
                "name": "SAGEMAKER_MODEL_SERVER_WORKERS",
                "type": "text",
                "default": "1",
                "scope": "container",
            },
            {
                "name": "SAGEMAKER_MODEL_SERVER_TIMEOUT",
                "type": "text",
                "default": "3600",
                "scope": "container",
            },
        ],
    },
    "huggingface-spc-bert-base-cased": {
        "model_id": "huggingface-spc-bert-base-cased",
        "url": "https://huggingface.co/bert-base-cased",
        "version": "1.0.0",
        "min_sdk_version": "2.68.1",
        "training_supported": True,
        "incremental_training_supported": False,
        "hosting_ecr_specs": {
            "framework": "huggingface",
            "framework_version": "1.7.1",
            "py_version": "py36",
            "huggingface_transformers_version": "4.6.1",
        },
        "hosting_artifact_key": "huggingface-infer/infer-huggingface-spc-bert-base-cased.tar.gz",
        "hosting_script_key": "source-directory-tarballs/huggingface/inference/spc/v1.0.0/sourcedir.tar.gz",
        "inference_vulnerable": False,
        "inference_dependencies": [],
        "inference_vulnerabilities": [],
        "training_vulnerable": False,
        "training_dependencies": [],
        "training_vulnerabilities": [],
        "deprecated": False,
        "hyperparameters": [
            {
                "name": "epochs",
                "type": "int",
                "default": 3,
                "min": 1,
                "max": 1000,
                "scope": "algorithm",
            },
            {
                "name": "adam-learning-rate",
                "type": "float",
                "default": 2e-05,
                "min": 1e-08,
                "max": 1,
                "scope": "algorithm",
            },
            {
                "name": "batch-size",
                "type": "int",
                "default": 8,
                "min": 1,
                "max": 1024,
                "scope": "algorithm",
            },
            {
                "name": "sagemaker_submit_directory",
                "type": "text",
                "default": "/opt/ml/input/data/code/sourcedir.tar.gz",
                "scope": "container",
            },
            {
                "name": "sagemaker_program",
                "type": "text",
                "default": "transfer_learning.py",
                "scope": "container",
            },
            {
                "name": "sagemaker_container_log_level",
                "type": "text",
                "default": "20",
                "scope": "container",
            },
        ],
        "training_script_key": "source-directory-tarballs/huggingface/transfer_learning/spc/v1.0.0/sourcedir.tar.gz",
        "training_ecr_specs": {
            "framework_version": "1.6.0",
            "framework": "huggingface",
            "huggingface_transformers_version": "4.4.2",
            "py_version": "py36",
        },
        "training_artifact_key": "huggingface-training/train-huggingface-spc-bert-base-cased.tar.gz",
        "inference_environment_variables": [
            {
                "name": "SAGEMAKER_PROGRAM",
                "type": "text",
                "default": "inference.py",
                "scope": "container",
            },
            {
                "name": "SAGEMAKER_SUBMIT_DIRECTORY",
                "type": "text",
                "default": "/opt/ml/model/code",
                "scope": "container",
            },
            {
                "name": "SAGEMAKER_CONTAINER_LOG_LEVEL",
                "type": "text",
                "default": "20",
                "scope": "container",
            },
            {
                "name": "MODEL_CACHE_ROOT",
                "type": "text",
                "default": "/opt/ml/model",
                "scope": "container",
            },
            {"name": "SAGEMAKER_ENV", "type": "text", "default": "1", "scope": "container"},
            {
                "name": "SAGEMAKER_MODEL_SERVER_WORKERS",
                "type": "text",
                "default": "1",
                "scope": "container",
            },
            {
                "name": "SAGEMAKER_MODEL_SERVER_TIMEOUT",
                "type": "text",
                "default": "3600",
                "scope": "container",
            },
        ],
    },
    "lightgbm-classification-model": {
        "model_id": "lightgbm-classification-model",
        "url": "https://lightgbm.readthedocs.io/en/latest/",
        "version": "1.0.0",
        "min_sdk_version": "2.68.1",
        "training_supported": True,
        "incremental_training_supported": False,
        "hosting_ecr_specs": {
            "framework": "pytorch",
            "framework_version": "1.9.0",
            "py_version": "py38",
        },
        "hosting_artifact_key": "lightgbm-infer/infer-lightgbm-classification-model.tar.gz",
        "hosting_script_key": "source-directory-tarballs/lightgbm/inference/classification/v1.0.0/sourcedir.tar.gz",
        "inference_vulnerable": False,
        "inference_dependencies": [
            "plotly==5.1.0",
            "joblib==1.0.1",
            "scikit_learn==1.0.1",
            "tenacity==8.0.1",
            "lightgbm==3.2.1",
            "threadpoolctl==2.2.0",
            "graphviz==0.17",
        ],
        "inference_vulnerabilities": [],
        "training_vulnerable": False,
        "training_dependencies": [
            "tenacity==8.0.1",
            "plotly==5.1.0",
            "graphviz==0.17",
            "glibc==0.6.1",
            "lightgbm==3.2.1",
        ],
        "training_vulnerabilities": [],
        "deprecated": False,
        "hyperparameters": [
            {
                "name": "num_boost_round",
                "type": "int",
                "default": 5000,
                "min": 1,
                "max": 100000,
                "scope": "algorithm",
            },
            {"name": "early_stopping_rounds", "type": "int", "default": 30, "scope": "algorithm"},
            {
                "name": "learning_rate",
                "type": "float",
                "default": 0.009,
                "min": 1e-20,
                "scope": "algorithm",
            },
            {
                "name": "num_leaves",
                "type": "int",
                "default": 67,
                "min": 2,
                "max": 131072,
                "scope": "algorithm",
            },
            {
                "name": "feature_fraction",
                "type": "float",
                "default": 0.74,
                "min": 1e-20,
                "max": 1,
                "scope": "algorithm",
            },
            {
                "name": "bagging_fraction",
                "type": "float",
                "default": 0.53,
                "min": 1e-20,
                "max": 1,
                "scope": "algorithm",
            },
            {
                "name": "bagging_freq",
                "type": "int",
                "default": 5,
                "min": 0,
                "max": 100000,
                "scope": "algorithm",
            },
            {"name": "max_depth", "type": "int", "default": 11, "scope": "algorithm"},
            {
                "name": "min_data_in_leaf",
                "type": "int",
                "default": 26,
                "min": 0,
                "scope": "algorithm",
            },
            {
                "name": "sagemaker_submit_directory",
                "type": "text",
                "default": "/opt/ml/input/data/code/sourcedir.tar.gz",
                "scope": "container",
            },
            {
                "name": "sagemaker_program",
                "type": "text",
                "default": "transfer_learning.py",
                "scope": "container",
            },
            {
                "name": "sagemaker_container_log_level",
                "type": "text",
                "default": "20",
                "scope": "container",
            },
        ],
        "training_script_key": "source-directory-tarballs/lightgbm/transfer_learning/classification/"
        "v1.0.0/sourcedir.tar.gz",
        "training_ecr_specs": {
            "framework_version": "1.9.0",
            "framework": "pytorch",
            "py_version": "py38",
        },
        "training_artifact_key": "lightgbm-training/train-lightgbm-classification-model.tar.gz",
        "inference_environment_variables": [
            {
                "name": "SAGEMAKER_PROGRAM",
                "type": "text",
                "default": "inference.py",
                "scope": "container",
            },
            {
                "name": "SAGEMAKER_SUBMIT_DIRECTORY",
                "type": "text",
                "default": "/opt/ml/model/code",
                "scope": "container",
            },
            {
                "name": "SAGEMAKER_CONTAINER_LOG_LEVEL",
                "type": "text",
                "default": "20",
                "scope": "container",
            },
            {
                "name": "MODEL_CACHE_ROOT",
                "type": "text",
                "default": "/opt/ml/model",
                "scope": "container",
            },
            {"name": "SAGEMAKER_ENV", "type": "text", "default": "1", "scope": "container"},
            {
                "name": "SAGEMAKER_MODEL_SERVER_WORKERS",
                "type": "text",
                "default": "1",
                "scope": "container",
            },
            {
                "name": "SAGEMAKER_MODEL_SERVER_TIMEOUT",
                "type": "text",
                "default": "3600",
                "scope": "container",
            },
        ],
    },
    "catboost-classification-model": {
        "model_id": "catboost-classification-model",
        "url": "https://catboost.ai/",
        "version": "1.0.0",
        "min_sdk_version": "2.68.1",
        "training_supported": True,
        "incremental_training_supported": False,
        "hosting_ecr_specs": {
            "framework": "pytorch",
            "framework_version": "1.9.0",
            "py_version": "py38",
        },
        "hosting_artifact_key": "catboost-infer/infer-catboost-classification-model.tar.gz",
        "hosting_script_key": "source-directory-tarballs/catboost/inference/classification/v1.0.0/sourcedir.tar.gz",
        "inference_vulnerable": False,
        "inference_dependencies": [
            "tenacity==8.0.1",
            "plotly==5.1.0",
            "graphviz==0.17",
            "pyparsing==2.4.7",
            "cycler==0.10.0",
            "kiwisolver==1.3.2",
            "matplotlib==3.4.3",
            "catboost==1.0.1",
            "scikit_learn==1.0.1",
            "threadpoolctl==2.2.0",
        ],
        "inference_vulnerabilities": [],
        "training_vulnerable": False,
        "training_dependencies": [
            "tenacity==8.0.1",
            "plotly==5.1.0",
            "graphviz==0.17",
            "catboost==1.0.1",
        ],
        "training_vulnerabilities": [],
        "deprecated": False,
        "hyperparameters": [
            {
                "name": "iterations",
                "type": "int",
                "default": 500,
                "min": 1,
                "max": 100000,
                "scope": "algorithm",
            },
            {
                "name": "early_stopping_rounds",
                "type": "int",
                "default": 5,
                "min": 1,
                "max": 5000,
                "scope": "algorithm",
            },
            {
                "name": "learning_rate",
                "type": "float",
                "default": 0.03,
                "min": 1e-20,
                "max": 1,
                "scope": "algorithm",
            },
            {
                "name": "depth",
                "type": "int",
                "default": 6,
                "min": 1,
                "max": 16,
                "scope": "algorithm",
            },
            {
                "name": "l2_leaf_reg",
                "type": "int",
                "default": 3,
                "min": 1,
                "max": 10000,
                "scope": "algorithm",
            },
            {
                "name": "random_strength",
                "type": "float",
                "default": 1.0,
                "min": 1e-20,
                "max": 10,
                "scope": "algorithm",
            },
            {
                "name": "sagemaker_submit_directory",
                "type": "text",
                "default": "/opt/ml/input/data/code/sourcedir.tar.gz",
                "scope": "container",
            },
            {
                "name": "sagemaker_program",
                "type": "text",
                "default": "transfer_learning.py",
                "scope": "container",
            },
            {
                "name": "sagemaker_container_log_level",
                "type": "text",
                "default": "20",
                "scope": "container",
            },
        ],
        "training_script_key": "source-directory-tarballs/catboost/transfer_learning/"
        "classification/v1.0.0/sourcedir.tar.gz",
        "training_ecr_specs": {
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            "framework": "pytorch",
            "py_version": "py38",
        },
        "training_artifact_key": "catboost-training/train-catboost-classification-model.tar.gz",
        "inference_environment_variables": [
            {
                "name": "SAGEMAKER_PROGRAM",
                "type": "text",
                "default": "inference.py",
                "scope": "container",
            },
            {
                "name": "SAGEMAKER_SUBMIT_DIRECTORY",
                "type": "text",
                "default": "/opt/ml/model/code",
                "scope": "container",
            },
            {
                "name": "SAGEMAKER_CONTAINER_LOG_LEVEL",
                "type": "text",
                "default": "20",
                "scope": "container",
            },
            {
                "name": "MODEL_CACHE_ROOT",
                "type": "text",
                "default": "/opt/ml/model",
                "scope": "container",
            },
            {"name": "SAGEMAKER_ENV", "type": "text", "default": "1", "scope": "container"},
            {
                "name": "SAGEMAKER_MODEL_SERVER_WORKERS",
                "type": "text",
                "default": "1",
                "scope": "container",
            },
            {
                "name": "SAGEMAKER_MODEL_SERVER_TIMEOUT",
                "type": "text",
                "default": "3600",
                "scope": "container",
            },
        ],
    },
    "xgboost-classification-model": {
        "model_id": "xgboost-classification-model",
        "url": "https://xgboost.readthedocs.io/en/latest/",
        "version": "1.0.0",
        "min_sdk_version": "2.68.1",
        "training_supported": True,
        "incremental_training_supported": False,
        "hosting_ecr_specs": {
            "framework": "xgboost",
            "framework_version": "1.3-1",
            "py_version": "py3",
        },
        "hosting_artifact_key": "xgboost-infer/infer-xgboost-classification-model.tar.gz",
        "hosting_script_key": "source-directory-tarballs/xgboost/inference/classification/v1.0.0/sourcedir.tar.gz",
        "inference_vulnerable": False,
        "inference_dependencies": [],
        "inference_vulnerabilities": [],
        "training_vulnerable": False,
        "training_dependencies": [],
        "training_vulnerabilities": [],
        "deprecated": False,
        "hyperparameters": [
            {
                "name": "num_boost_round",
                "type": "int",
                "default": 5000,
                "min": 1,
                "max": 700000,
                "scope": "algorithm",
            },
            {
                "name": "early_stopping_rounds",
                "type": "int",
                "default": 30,
                "min": 1,
                "max": 5000,
                "scope": "algorithm",
            },
            {
                "name": "learning_rate",
                "type": "float",
                "default": 0.3,
                "min": 1e-20,
                "max": 1,
                "scope": "algorithm",
            },
            {"name": "gamma", "type": "float", "default": 0, "min": 0, "scope": "algorithm"},
            {
                "name": "min_child_weight",
                "type": "float",
                "default": 1,
                "min": 0,
                "scope": "algorithm",
            },
            {"name": "max_depth", "type": "int", "default": 6, "min": 1, "scope": "algorithm"},
            {
                "name": "subsample",
                "type": "float",
                "default": 1,
                "min": 1e-20,
                "max": 1,
                "scope": "algorithm",
            },
            {
                "name": "colsample_bytree",
                "type": "float",
                "default": 1,
                "min": 1e-20,
                "max": 1,
                "scope": "algorithm",
            },
            {
                "name": "reg_lambda",
                "type": "float",
                "default": 1,
                "min": 0,
                "max": 200,
                "scope": "algorithm",
            },
            {
                "name": "reg_alpha",
                "type": "float",
                "default": 0,
                "min": 0,
                "max": 200,
                "scope": "algorithm",
            },
            {
                "name": "sagemaker_submit_directory",
                "type": "text",
                "default": "/opt/ml/input/data/code/sourcedir.tar.gz",
                "scope": "container",
            },
            {
                "name": "sagemaker_program",
                "type": "text",
                "default": "transfer_learning.py",
                "scope": "container",
            },
            {
                "name": "sagemaker_container_log_level",
                "type": "text",
                "default": "20",
                "scope": "container",
            },
        ],
        "training_script_key": "source-directory-tarballs/xgboost/transfer_learning/classification/"
        "v1.0.0/sourcedir.tar.gz",
        "training_ecr_specs": {
            "framework_version": "1.3-1",
            "framework": "xgboost",
            "py_version": "py3",
        },
        "training_artifact_key": "xgboost-training/train-xgboost-classification-model.tar.gz",
        "inference_environment_variables": [
            {
                "name": "SAGEMAKER_PROGRAM",
                "type": "text",
                "default": "inference.py",
                "scope": "container",
            },
            {
                "name": "SAGEMAKER_SUBMIT_DIRECTORY",
                "type": "text",
                "default": "/opt/ml/model/code",
                "scope": "container",
            },
            {
                "name": "SAGEMAKER_CONTAINER_LOG_LEVEL",
                "type": "text",
                "default": "20",
                "scope": "container",
            },
            {
                "name": "MODEL_CACHE_ROOT",
                "type": "text",
                "default": "/opt/ml/model",
                "scope": "container",
            },
            {"name": "SAGEMAKER_ENV", "type": "text", "default": "1", "scope": "container"},
            {
                "name": "SAGEMAKER_MODEL_SERVER_WORKERS",
                "type": "text",
                "default": "1",
                "scope": "container",
            },
            {
                "name": "SAGEMAKER_MODEL_SERVER_TIMEOUT",
                "type": "text",
                "default": "3600",
                "scope": "container",
            },
        ],
    },
    "sklearn-classification-linear": {
        "model_id": "sklearn-classification-linear",
        "url": "https://scikit-learn.org/stable/",
        "version": "1.0.0",
        "min_sdk_version": "2.68.1",
        "training_supported": True,
        "incremental_training_supported": False,
        "hosting_ecr_specs": {
            "framework": "sklearn",
            "framework_version": "0.23-1",
            "py_version": "py3",
        },
        "hosting_artifact_key": "sklearn-infer/infer-sklearn-classification-linear.tar.gz",
        "hosting_script_key": "source-directory-tarballs/sklearn/inference/classification/v1.0.0/sourcedir.tar.gz",
        "inference_vulnerable": False,
        "inference_dependencies": [],
        "inference_vulnerabilities": [],
        "training_vulnerable": False,
        "training_dependencies": [],
        "training_vulnerabilities": [],
        "deprecated": False,
        "hyperparameters": [
            {
                "name": "tol",
                "type": "float",
                "default": 0.0001,
                "min": 1e-20,
                "max": 50,
                "scope": "algorithm",
            },
            {
                "name": "penalty",
                "type": "text",
                "default": "l2",
                "options": ["l1", "l2", "elasticnet", "none"],
                "scope": "algorithm",
            },
            {
                "name": "alpha",
                "type": "float",
                "default": 0.0001,
                "min": 1e-20,
                "max": 999,
                "scope": "algorithm",
            },
            {
                "name": "l1_ratio",
                "type": "float",
                "default": 0.15,
                "min": 0,
                "max": 1,
                "scope": "algorithm",
            },
            {
                "name": "sagemaker_submit_directory",
                "type": "text",
                "default": "/opt/ml/input/data/code/sourcedir.tar.gz",
                "scope": "container",
            },
            {
                "name": "sagemaker_program",
                "type": "text",
                "default": "transfer_learning.py",
                "scope": "container",
            },
            {
                "name": "sagemaker_container_log_level",
                "type": "text",
                "default": "20",
                "scope": "container",
            },
        ],
        "training_script_key": "source-directory-tarballs/sklearn/transfer_learning/classification/"
        "v1.0.0/sourcedir.tar.gz",
        "training_ecr_specs": {
            "framework_version": "0.23-1",
            "framework": "sklearn",
            "py_version": "py3",
        },
        "training_artifact_key": "sklearn-training/train-sklearn-classification-linear.tar.gz",
        "inference_environment_variables": [
            {
                "name": "SAGEMAKER_PROGRAM",
                "type": "text",
                "default": "inference.py",
                "scope": "container",
            },
            {
                "name": "SAGEMAKER_SUBMIT_DIRECTORY",
                "type": "text",
                "default": "/opt/ml/model/code",
                "scope": "container",
            },
            {
                "name": "SAGEMAKER_CONTAINER_LOG_LEVEL",
                "type": "text",
                "default": "20",
                "scope": "container",
            },
            {
                "name": "MODEL_CACHE_ROOT",
                "type": "text",
                "default": "/opt/ml/model",
                "scope": "container",
            },
            {"name": "SAGEMAKER_ENV", "type": "text", "default": "1", "scope": "container"},
            {
                "name": "SAGEMAKER_MODEL_SERVER_WORKERS",
                "type": "text",
                "default": "1",
                "scope": "container",
            },
            {
                "name": "SAGEMAKER_MODEL_SERVER_TIMEOUT",
                "type": "text",
                "default": "3600",
                "scope": "container",
            },
        ],
    },
}

BASE_SPEC = {
    "model_id": "pytorch-ic-mobilenet-v2",
    "url": "https://pytorch.org/hub/pytorch_vision_mobilenet_v2/",
    "version": "1.0.0",
    "min_sdk_version": "2.49.0",
    "training_supported": True,
    "incremental_training_supported": True,
    "hosting_ecr_specs": {
        "framework": "pytorch",
        "framework_version": "1.5.0",
        "py_version": "py3",
    },
    "training_ecr_specs": {
        "framework": "pytorch",
        "framework_version": "1.5.0",
        "py_version": "py3",
    },
    "hosting_artifact_key": "pytorch-infer/infer-pytorch-ic-mobilenet-v2.tar.gz",
    "training_artifact_key": "pytorch-training/train-pytorch-ic-mobilenet-v2.tar.gz",
    "hosting_script_key": "source-directory-tarballs/pytorch/inference/ic/v1.0.0/sourcedir.tar.gz",
    "training_script_key": "source-directory-tarballs/pytorch/transfer_learning/ic/v1.0.0/sourcedir.tar.gz",
    "hyperparameters": [
        {
            "name": "epochs",
            "type": "int",
            "default": 3,
            "min": 1,
            "max": 1000,
            "scope": "algorithm",
        },
        {
            "name": "adam-learning-rate",
            "type": "float",
            "default": 0.05,
            "min": 1e-08,
            "max": 1,
            "scope": "algorithm",
        },
        {
            "name": "batch-size",
            "type": "int",
            "default": 4,
            "min": 1,
            "max": 1024,
            "scope": "algorithm",
        },
        {
            "name": "sagemaker_submit_directory",
            "type": "text",
            "default": "/opt/ml/input/data/code/sourcedir.tar.gz",
            "scope": "container",
        },
        {
            "name": "sagemaker_program",
            "type": "text",
            "default": "transfer_learning.py",
            "scope": "container",
        },
        {
            "name": "sagemaker_container_log_level",
            "type": "text",
            "default": "20",
            "scope": "container",
        },
    ],
    "inference_environment_variables": [
        {
            "name": "SAGEMAKER_PROGRAM",
            "type": "text",
            "default": "inference.py",
            "scope": "container",
        },
        {
            "name": "SAGEMAKER_SUBMIT_DIRECTORY",
            "type": "text",
            "default": "/opt/ml/model/code",
            "scope": "container",
        },
        {
            "name": "SAGEMAKER_CONTAINER_LOG_LEVEL",
            "type": "text",
            "default": "20",
            "scope": "container",
        },
        {
            "name": "MODEL_CACHE_ROOT",
            "type": "text",
            "default": "/opt/ml/model",
            "scope": "container",
        },
        {"name": "SAGEMAKER_ENV", "type": "text", "default": "1", "scope": "container"},
        {
            "name": "SAGEMAKER_MODEL_SERVER_WORKERS",
            "type": "text",
            "default": "1",
            "scope": "container",
        },
        {
            "name": "SAGEMAKER_MODEL_SERVER_TIMEOUT",
            "type": "text",
            "default": "3600",
            "scope": "container",
        },
    ],
    "inference_vulnerable": False,
    "inference_dependencies": [],
    "inference_vulnerabilities": [],
    "training_vulnerable": False,
    "training_dependencies": [],
    "training_vulnerabilities": [],
    "deprecated": False,
}

BASE_HEADER = {
    "model_id": "tensorflow-ic-imagenet-inception-v3-classification-4",
    "version": "1.0.0",
    "min_version": "2.49.0",
    "spec_key": "community_models_specs/tensorflow-ic-imagenet"
    "-inception-v3-classification-4/specs_v1.0.0.json",
}

BASE_MANIFEST = [
    {
        "model_id": "tensorflow-ic-imagenet-inception-v3-classification-4",
        "version": "1.0.0",
        "min_version": "2.49.0",
        "spec_key": "community_models_specs/tensorflow-ic-imagenet"
        "-inception-v3-classification-4/specs_v1.0.0.json",
    },
    {
        "model_id": "tensorflow-ic-imagenet-inception-v3-classification-4",
        "version": "2.0.0",
        "min_version": "2.49.0",
        "spec_key": "community_models_specs/tensorflow-ic-imagenet"
        "-inception-v3-classification-4/specs_v2.0.0.json",
    },
    {
        "model_id": "pytorch-ic-imagenet-inception-v3-classification-4",
        "version": "1.0.0",
        "min_version": "2.49.0",
        "spec_key": "community_models_specs/pytorch-ic-"
        "imagenet-inception-v3-classification-4/specs_v1.0.0.json",
    },
    {
        "model_id": "pytorch-ic-imagenet-inception-v3-classification-4",
        "version": "2.0.0",
        "min_version": "2.49.0",
        "spec_key": "community_models_specs/pytorch-ic-imagenet-"
        "inception-v3-classification-4/specs_v2.0.0.json",
    },
    {
        "model_id": "tensorflow-ic-imagenet-inception-v3-classification-4",
        "version": "3.0.0",
        "min_version": "4.49.0",
        "spec_key": "community_models_specs/tensorflow-ic-"
        "imagenet-inception-v3-classification-4/specs_v3.0.0.json",
    },
]