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apache--tvm/docker/install/ubuntu_install_onnx.sh
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chore: import upstream snapshot with attribution
2026-07-13 13:36:25 +08:00

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#!/bin/bash
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you 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.
set -e
set -u
set -o pipefail
# Get the Python version
PYTHON_VERSION=$(python3 -c "import sys; print(f'{sys.version_info.major}.{sys.version_info.minor}')")
# Set default value for first argument
DEVICE=${1:-cpu}
# Install the onnx package
uv pip install \
onnx==1.20.1 \
onnxruntime==1.23.2 \
onnxoptimizer==0.4.2
if [ "$DEVICE" == "cuda" ]; then
uv pip install \
torch==2.10.0 \
torchvision==0.25.0
else
uv pip install \
torch==2.10.0 \
torchvision==0.25.0 \
--extra-index-url https://download.pytorch.org/whl/cpu
fi