2020-03-05 09:49:01 +01:00
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#!/usr/bin/env bash
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# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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rm -rf /results
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BASEDIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" >/dev/null 2>&1 && pwd )"
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export CUDA_VISIBLE_DEVICES=0,1,2,3
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mpirun \
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-np 4 \
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-H localhost:4 \
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-bind-to none \
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-map-by slot \
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-x NCCL_DEBUG=VERSION \
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-x LD_LIBRARY_PATH \
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-x PATH \
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-mca pml ob1 -mca btl ^openib \
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--allow-run-as-root \
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python ${BASEDIR}/../mask_rcnn_main.py \
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--mode="train_and_eval" \
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--checkpoint="/model/resnet/resnet-nhwc-2018-10-14/model.ckpt-112602" \
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--eval_samples=5000 \
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--init_learning_rate=0.02 \
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--learning_rate_steps="60000,80000" \
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--model_dir="/results/" \
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--num_steps_per_eval=7392 \
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--total_steps=90000 \
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--train_batch_size=4 \
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--eval_batch_size=8 \
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--training_file_pattern="/data/train*.tfrecord" \
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--validation_file_pattern="/data/val*.tfrecord" \
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--val_json_file="/data/annotations/instances_val2017.json" \
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2020-06-27 11:52:08 +02:00
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--noamp \
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2020-03-05 09:49:01 +01:00
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--use_batched_nms \
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2020-06-27 11:52:08 +02:00
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--xla \
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2020-03-05 09:49:01 +01:00
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--nouse_custom_box_proposals_op
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