test_environment.py

# SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License 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.

import argparse
import importlib
import os
import sys


def parse_args():
    parser = argparse.ArgumentParser()
    parser.add_argument(
        "--training",
        action="store_true",
        help="Whether to check training-specific dependencies",
    )
    return parser.parse_args()


def check_packages(package_list):
    global all_success
    for package in package_list:
        try:
            _ = importlib.import_module(package)
        except Exception:
            print(f"\033[91m[ERROR]\033[0m Package not successfully imported: \033[93m{package}\033[0m")
            all_success = False
        else:
            print(f"\033[92m[SUCCESS]\033[0m {package} found")


def main():
    args = parse_args()

    if not (sys.version_info.major == 3 and sys.version_info.minor >= 10):
        detected = f"{sys.version_info.major}.{sys.version_info.minor}.{sys.version_info.micro}"
        print(f"\033[91m[ERROR]\033[0m Python 3.10+ is required. You have: \033[93m{detected}\033[0m")
        sys.exit(1)

    if "CONDA_PREFIX" not in os.environ:
        print(
            "\033[93m[WARNING]\033[0m CONDA_PREFIX is not set. When manually installed, Cosmos should run under the cosmos-transfer1 conda environment (see INSTALL.md). This warning can be ignored when running in the container."
        )

    print("Attempting to import critical packages...")

    packages = ["torch", "torchvision", "transformers", "megatron.core", "transformer_engine", "vllm", "pandas"]
    packages_training = [
        "apex.multi_tensor_apply",
    ]
    all_success = True

    check_packages(packages)
    if args.training:
        check_packages(packages_training)

    if all_success:
        print("-----------------------------------------------------------")
        print("\033[92m[SUCCESS]\033[0m Cosmos environment setup is successful!")