# 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 PIP = f"{sys.executable} -m pip" print(PIP) def setup_environment(): os.system("apt-get update && apt-get install -qqy libmagickwand-dev") # install packages # os.system( # f'export FLASH_ATTENTION_SKIP_CUDA_BUILD=FALSE && \ # {PIP} install --timeout=1000000000 --no-build-isolation "flash-attn<=2.7.4.post1"' # ) os.system( f"{PIP} install --timeout=1000000000 \ https://download.pytorch.org/whl/cu128/flashinfer/flashinfer_python-0.2.5%2Bcu128torch2.7-cp38-abi3-linux_x86_64.whl" ) os.system(f'export VLLM_ATTENTION_BACKEND=FLASHINFER && {PIP} install "vllm==0.9.0"') os.system(f'{PIP} install "decord==0.6.0"') os.system( "export CONDA_PREFIX=/usr/local/cuda && \ ln -sf $CONDA_PREFIX/lib/python3.10/site-packages/nvidia/*/include/* $CONDA_PREFIX/include/" ) os.system( "export CONDA_PREFIX=/usr/local/cuda && \ ln -sf $CONDA_PREFIX/lib/python3.10/site-packages/nvidia/*/include/* $CONDA_PREFIX/include/python3.10" ) os.system(f'{PIP} install --timeout=1000000000 --no-build-isolation "transformer-engine[pytorch]"') os.system(f'{PIP} install --timeout=1000000000 "decord==0.6.0"') # os.system( # f'{PIP} install --timeout=1000000000 \ # "git+https://github.com/nvidia-cosmos/cosmos-transfer1@e4055e39ee9c53165e85275bdab84ed20909714a"' # ) 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): all_success = True 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") return all_success 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 = check_packages(packages) if args.training: if not check_packages(packages_training): all_success = False if all_success: print("-----------------------------------------------------------") print("\033[92m[SUCCESS]\033[0m Cosmos environment setup is successful!") return all_success if __name__ == "__main__": print(f"Enivornment check success ? {main()}")