34 lines
1.5 KiB
Bash
34 lines
1.5 KiB
Bash
# Copyright (c) 2019, 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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CKPT_DIR=${1:-"/results/SSD320_FP16_1GPU"}
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PIPELINE_CONFIG_PATH=${2:-"/workdir/models/research/configs"}"/ssd320_bench.config"
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GPUS=1
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TENSOR_OPS=0
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export TF_ENABLE_CUBLAS_TENSOR_OP_MATH_FP32=${TENSOR_OPS}
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export TF_ENABLE_CUDNN_TENSOR_OP_MATH_FP32=${TENSOR_OPS}
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export TF_ENABLE_CUDNN_RNN_TENSOR_OP_MATH_FP32=${TENSOR_OPS}
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TRAIN_LOG=$(python -u ./object_detection/model_main.py \
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--pipeline_config_path=${PIPELINE_CONFIG_PATH} \
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--model_dir=${CKPT_DIR} \
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--alsologtostder \
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--amp \
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"${@:3}" 2>&1)
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PERF=$(echo "$TRAIN_LOG" | sed -n 's|.*global_step/sec: \(\S\+\).*|\1|p' | python -c "import sys; x = sys.stdin.readlines(); x = [float(a) for a in x[int(len(x)*3/4):]]; print(32*$GPUS*sum(x)/len(x), 'img/s')")
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mkdir -p $CKPT_DIR
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echo "Single GPU mixed precision training performance: $PERF" | tee $CKPT_DIR/train_log
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echo "$TRAIN_LOG" >> $CKPT_DIR/train_log
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