DeepLearningExamples/TensorFlow/Segmentation/UNet_Industrial/Dockerfile
Przemek Strzelczyk d2bc3da0a1 Changes in TF models:
* added UNet for medical image segmentation
* added TF-AMP support for RN50
* small updates for other models (READMEs, benchmark & testing scripts)
2019-05-25 01:23:11 +02:00

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Docker

# ==============================================================================
#
# Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
#
# 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.
#
# ==============================================================================
FROM nvcr.io/nvidia/tensorflow:19.05-py3
LABEL version="1.0" maintainer="Jonathan DEKHTIAR <jonathan.dekhtiar@nvidia.com>"
ADD . /workspace/unet_industrial
WORKDIR /workspace/unet_industrial
RUN pip install dllogger/