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Remove unused images.
PiperOrigin-RevId: 574962529
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@@ -1,7 +0,0 @@
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FROM ubuntu:18.04
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RUN set -x \
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&& apt-get update \
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&& apt-get install -y \
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apache2-utils \
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&& rm -rf /var/lib/apt/lists/*
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@@ -1 +0,0 @@
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FROM mariadb:10.11.3-jammy
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@@ -1 +0,0 @@
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FROM wordpress:6.2.0-php8.2-apache
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@@ -1,34 +0,0 @@
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FROM pytorch/pytorch:2.0.1-cuda11.7-cudnn8-devel
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RUN apt-get update && DEBIAN_FRONTEND=noninteractive apt-get install -y git wget \
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libgl1-mesa-glx libglib2.0-0
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RUN git clone https://github.com/pytorch/benchmark.git \
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&& cd /workspace/benchmark \
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&& git reset --hard 6d84522ec83997beefa4bb6e5154453b5fc653f7
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WORKDIR /workspace/benchmark
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# For some reason, installing the suite's requirements.txt does not correctly
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# install "boto3", so install it explicitly.
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# Note that mobilenet_v2 does not have a requirements.txt file.
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RUN pip install boto3 numba matplotlib && pip install \
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-r requirements.txt \
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-r torchbenchmark/models/LearningToPaint/requirements.txt \
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-r torchbenchmark/models/attention_is_all_you_need_pytorch/requirements.txt \
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-r torchbenchmark/models/fastNLP_Bert/requirements.txt \
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-r torchbenchmark/models/hf_BigBird/requirements.txt \
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-r torchbenchmark/models/speech_transformer/requirements.txt \
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-r torchbenchmark/models/Background_Matting/requirements.txt
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# These benchmarks are chosen based on diversity of the type of model and their
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# profile with respect to using the GPU and moving data. For more context, see
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# this paper: https://arxiv.org/pdf/2304.14226.pdf
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RUN python install.py \
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LearningToPaint \
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attention_is_all_you_need_pytorch \
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fastNLP_Bert \
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hf_BigBird \
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speech_transformer \
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mobilenet_v2 \
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Background_Matting
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