File size: 4,577 Bytes
ec0a9aa | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 | # 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 importlib
import sys
from argparse import ArgumentParser
parser = ArgumentParser()
parser.add_argument("--training", action="store_true", help="Check training packages")
args = parser.parse_args()
def check_packages(package_list, success_status=True):
def print_success(package, version=None):
if version:
print(f"\033[92m[SUCCESS]\033[0m {package} found (v{version})")
else:
print(f"\033[92m[SUCCESS]\033[0m {package} found")
def print_error(message):
print(f"\033[91m[ERROR]\033[0m {message}")
for package in package_list:
if isinstance(package, tuple):
found = False
for alt_package in package:
try:
module = importlib.import_module(alt_package)
version = getattr(module, "__version__", None)
print_success(alt_package, version)
found = True
break
except ImportError:
continue
if not found:
print_error(f"None of the alternative packages found: \033[93m{', '.join(package)}\033[0m")
success_status = False
elif package == "apex":
try:
module = importlib.import_module(package)
version = getattr(module, "__version__", None)
print_success(package, version)
try:
from apex import multi_tensor_apply # noqa: F401
print_success("apex.multi_tensor_apply")
except ImportError:
print_error("apex.multi_tensor_apply not found")
success_status = False
except ImportError:
print_error("apex not found")
success_status = False
elif package == "transformer_engine":
try:
module = importlib.import_module(package)
version = getattr(module, "__version__", None)
print_success(package, version)
try:
import transformer_engine.pytorch # noqa: F401
print_success("transformer_engine.pytorch")
except ImportError:
print_error("transformer_engine.pytorch not found")
success_status = False
except ImportError:
print_error("transformer_engine not found")
success_status = False
else:
try:
module = importlib.import_module(package)
version = getattr(module, "__version__", None)
print_success(package, version)
except ImportError as e:
print_error(f"Package not successfully imported: \033[93m{package}\033[0m")
success_status = False
return success_status
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)
print("Attempting to import critical packages...")
packages = [
"torch",
"torchvision",
"diffusers",
"transformers",
"transformer_engine",
"megatron.core",
("flash_attn", "flash_attn_interface"),
"natten",
]
packages_training = [
"apex",
]
all_success = check_packages(packages)
if args.training:
training_success = check_packages(packages_training)
if not training_success:
print("\033[93m[WARNING]\033[0m Training packages not found. Training features will be unavailable.")
if all_success:
print("-----------------------------------------------------------")
print("\033[92m[SUCCESS]\033[0m Cosmos-predict2 environment setup is successful!")
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