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Model-Optimizer/modelopt/torch/__init__.py
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2025-07-31 22:48:09 +05:30

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Python

# SPDX-FileCopyrightText: Copyright (c) 2024 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.
"""Model optimization and deployment subpackage for torch."""
import warnings as _warnings
from packaging.version import Version as _Version
from torch import __version__ as _torch_version
from . import distill, nas, opt, prune, quantization, sparsity, speculative, utils
if _Version(_torch_version) < _Version("2.5"):
_warnings.warn(
"nvidia-modelopt will drop torch<2.5 support in a future release.", DeprecationWarning
)
# Since `hf` dependencies are optional and users have pre-installed transformers, we need to ensure
# correct version is installed to avoid incompatibility issues.
try:
from transformers import __version__ as _transformers_version
if not (_Version("4.48") <= _Version(_transformers_version) < _Version("5.0")):
_warnings.warn(
f"transformers version {_transformers_version} is incompatible with nvidia-modelopt and may cause issues. "
"Please install recommended version with `pip install nvidia-modelopt[hf]` if working with HF models.",
)
except ImportError:
pass