From 1ec169b7c9604ff70f873b3393d60cc9cd521678 Mon Sep 17 00:00:00 2001 From: Kshitij Sisodia Date: Wed, 1 Jun 2022 09:06:21 +0100 Subject: MLECO-2968 Create a docker image with all requirements Added a Dockerfile to setup and install requirements for the ml-embedded-evaluation-kit repository. Also included minor change (MLCE-859) for NPU components' source file. Signed-off-by: Matthew Sloyan Change-Id: I621fb2991218a451a0e8c33e14032b9c9e36709e --- Dockerfile | 71 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 71 insertions(+) create mode 100644 Dockerfile (limited to 'Dockerfile') diff --git a/Dockerfile b/Dockerfile new file mode 100644 index 0000000..918f4fa --- /dev/null +++ b/Dockerfile @@ -0,0 +1,71 @@ +# Copyright (c) 2022 Arm Limited. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +FROM ubuntu:20.04 +ENV DEBIAN_FRONTEND noninteractive +ENV EVAL_KIT_DIR "/home/ml-embedded-evaluation-kit" + +RUN apt-get update && \ + apt-get install -y \ + make \ + git \ + python3.8 \ + python3-pip \ + python3.8-dev \ + python3.8-venv \ + unzip \ + curl \ + wget \ + gpg \ + libsndfile1 \ + sudo \ + telnet + +# Download and install gcc 11.2 +RUN curl -L https://developer.arm.com/-/media/Files/downloads/gnu/11.2-2022.02/binrel/gcc-arm-11.2-2022.02-x86_64-arm-none-eabi.tar.xz -o gcc-arm-none-eabi.tar.xz && \ + echo "8c5acd5ae567c0100245b0556941c237369f210bceb196edfe5a2e7532c60326 gcc-arm-none-eabi.tar.xz" | sha256sum -c && \ + mkdir /opt/gcc-arm-none-eabi && \ + tar -xf gcc-arm-none-eabi.tar.xz -C /opt/gcc-arm-none-eabi --strip-components 1 && \ + rm gcc-arm-none-eabi.tar.xz + +# Download and install the Corstone_SSE-300 FVP +RUN wget https://developer.arm.com/-/media/Arm%20Developer%20Community/Downloads/OSS/FVP/Corstone-300/FVP_Corstone_SSE-300_11.16_26.tgz 2>/dev/null && \ + echo "e26139be756b5003a30d978c629de638aed1934d597dc24a17043d4708e934d7 FVP_Corstone_SSE-300_11.16_26.tgz" | sha256sum -c && \ + mkdir -p /home/FVP_Corstone_SSE-300/ && \ + tar -xf FVP_Corstone_SSE-300_11.16_26.tgz -C /home/FVP_Corstone_SSE-300/ && \ + bash /home/FVP_Corstone_SSE-300/FVP_Corstone_SSE-300.sh --no-interactive --i-agree-to-the-contained-eula -d /home/FVP_Corstone_SSE-300 && \ + rm FVP_Corstone_SSE-300_11.16_26.tgz + +# Clone the ml-embedded-evaluation-kit repository +RUN git clone "https://review.mlplatform.org/ml/ethos-u/ml-embedded-evaluation-kit" ${EVAL_KIT_DIR} + +# Change working directory +WORKDIR ${EVAL_KIT_DIR} + +# Initialize submodules +RUN git submodule update --init + +# Download and install resources required for ml-embedded-evaluation-kit +RUN python3 ./set_up_default_resources.py + +# Update PATH to make the required version of CMake and GNU embedded toolchain is available: +ENV PATH="${EVAL_KIT_DIR}/resources_downloaded/env/bin:/opt/gcc-arm-none-eabi/bin:${PATH}" + +# FVP binary paths: +ENV FVP_ETHOS_U55="/home/FVP_Corstone_SSE-300/models/Linux64_GCC-6.4/FVP_Corstone_SSE-300_Ethos-U55" +ENV FVP_ETHOS_U65="/home/FVP_Corstone_SSE-300/models/Linux64_GCC-6.4/FVP_Corstone_SSE-300_Ethos-U65" + +# Default FVP arguments for no GUI and telnet pop ups: +ENV FVP_ARGS="-C mps3_board.telnetterminal0.start_telnet=0 -C mps3_board.uart0.out_file='-' -C mps3_board.uart0.shutdown_on_eot=1 -C mps3_board.visualisation.disable-visualisation=1" -- cgit v1.2.1