onnxruntime-tvm/conda/render_cuda.py

62 строки
1.9 KiB
Python

# 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.
import os
import sys
import subprocess
from jinja2 import Template
CUDA_VERSIONS = ['10.0', '9.0']
# Make sure that the cudnn version you set here is available
# for all the cuda versions that you want both from nvidia
# and from conda.
# These two must be in sync
CUDNN_FULL_VERSION = '7.6.0.64'
CUDNN_VERSION = '7.6.0'
condadir = os.path.dirname(sys.argv[0])
condadir = os.path.abspath(condadir)
srcdir = os.path.dirname(condadir)
with open(os.path.join(condadir, 'Dockerfile.template')) as f:
docker_template = Template(f.read())
def render_dockerfile(version):
txt = docker_template.render(cuda_version=version,
cudnn_short_version=CUDNN_VERSION,
cudnn_version=CUDNN_FULL_VERSION)
fname = os.path.join(condadir,
'../docker/Dockerfile.conda_cuda' + version.replace('.', ''))
with open(fname, 'w') as f:
f.write(txt)
return fname
if __name__ == '__main__':
build_versions = CUDA_VERSIONS
if len(sys.argv) > 1:
build_versions = sys.argv[1:]
for version in build_versions:
render_dockerfile(version)