[UNet_Ind/TF] Fix number of gpus
Signed-off-by: Pablo Ribalta Lorenzo <pribalta@nvidia.com>
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@ -493,7 +493,7 @@ To achieve these same results, follow the steps in the [Quick Start Guide](#quic
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##### Inference performance: NVIDIA DGX-1 (1x V100 16GB)
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Our results were obtained by running the scripts `./scripts/benchmarking/UNet_evalbench{_AMP}.sh`
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evaluation script in the `20.06-tf1-py3` NGC container on NVIDIA DGX-1 (8x V100 16GB) GPUs.
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evaluation script in the `20.06-tf1-py3` NGC container on NVIDIA DGX-1 (1x V100 16GB) GPUs.
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FP16
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