DeepLearningExamples/TensorFlow2/Segmentation/MaskRCNN/scripts/train_AMP_4GPU.sh
2020-06-27 11:52:08 +02:00

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#!/usr/bin/env bash
# Copyright (c) 2020, 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.
rm -rf /results
BASEDIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" >/dev/null 2>&1 && pwd )"
export CUDA_VISIBLE_DEVICES=0,1,2,3
mpirun \
-np 4 \
-H localhost:4 \
-bind-to none \
-map-by slot \
-x NCCL_DEBUG=VERSION \
-x LD_LIBRARY_PATH \
-x PATH \
-mca pml ob1 -mca btl ^openib \
--allow-run-as-root \
python ${BASEDIR}/../mask_rcnn_main.py \
--mode="train_and_eval" \
--checkpoint="/model/resnet/resnet-nhwc-2018-10-14/model.ckpt-112602" \
--eval_samples=5000 \
--init_learning_rate=0.02 \
--learning_rate_steps="60000,80000" \
--model_dir="/results/" \
--num_steps_per_eval=7392 \
--total_steps=90000 \
--train_batch_size=4 \
--eval_batch_size=8 \
--training_file_pattern="/data/train*.tfrecord" \
--validation_file_pattern="/data/val*.tfrecord" \
--val_json_file="/data/annotations/instances_val2017.json" \
--amp \
--use_batched_nms \
--xla \
--nouse_custom_box_proposals_op