d2bc3da0a1
* added UNet for medical image segmentation * added TF-AMP support for RN50 * small updates for other models (READMEs, benchmark & testing scripts)
24 lines
793 B
Bash
24 lines
793 B
Bash
CKPT_DIR=${1:-"/results/SSD320_FP32_4GPU"}
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PIPELINE_CONFIG_PATH=${2:-"/workdir/models/research/configs"}"/ssd320_full_4gpus.config"
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GPUS=4
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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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time mpirun --allow-run-as-root \
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-np $GPUS \
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-H localhost:$GPUS \
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-bind-to none \
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-map-by slot \
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-x NCCL_DEBUG=INFO \
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-x LD_LIBRARY_PATH \
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-x PATH \
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-mca pml ob1 \
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-mca btl ^openib \
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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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"${@:3}"
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