DeepLearningExamples/TensorFlow/Segmentation/UNet_Medical/examples/unet_INFER_BENCHMARK.sh
2020-07-04 01:42:09 +02:00

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# 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.
# This script launches U-Net run in FP32 on 1 GPU for inference benchmarking. Usage:
# bash unet_INFER_BENCHMARK_FP32.sh <path to dataset> <path to results directory> <batch size>
horovodrun -np 1 python main.py --data_dir $1 --model_dir $2 --batch_size $3 --exec_mode predict --benchmark --warmup_steps 200 --max_steps 600 --xla