#Install gfortran amazon linux drivers#
All GCC and GNU Fortran options are accepted both by gfortran and by gcc (as well as any other drivers built at the same time, such as g++ ), since adding GNU Fortran to the GCC distribution enables acceptance of. Only options specific to GNU Fortran are documented here. Try building the latest OpenCV from source ().'Įcho 'Dependency installation/upgrade complete. The gfortran command supports all the options supported by the gcc command. Two issues that should with Amazon Linux 2 are leaving the EPEL repositories permanently activated, as from experience this tends to interfere with normal functionality of the AMI, and interfering with PYTHONPATH, as from experience that interferes with the LSST Stack.
#Install gfortran amazon linux install#
Python3.7 -m pip install opencv-python || echo 'Error: Unable to install OpenCV with pip on this platform. In Step 1 phase pick the Amazon Linux 2 image from the list of default AMIs. Yum install -y compat-gcc-48-libgfortran libSM libXrender libXextĮcho "OS Release not supported: $release" # this is mostly to prepare dependencies on Ubuntu EC2 instance.Īpt-get install -y libgfortran3 libsm6 libxext6 libxrender1Īpt-get install -y python3.7 python3.7-devĮlif then DeepLens has all the dependencies installed, so For an example, seeĭisplay name in the AWS IoT console: Local inference service name Service by passing the name to the invoke_inference_service function of the AWS IoT Greengrass Machine Learning SDK. The name for the local inference service.
Valid pattern: ^arn:aws:sagemaker:+:+:training-job/+$ LocalInferenceServiceName amazon-linux-extras install epel yum-config-manager -enable epel Optional, but nice for servers that have been sitting around forever yum update -y yum upgrade -y yum. Trained by the SageMaker image classification algorithm.ĭisplay name in the AWS IoT console: SageMaker job ARN /usr/bin/env bash yum install-y epel-release If you're on AWS and using one of their newer AMIs you'll install it from the amazon-linux-extras package manager. The ARN of the SageMaker training job that represents the SageMaker model source. The ID of the ML resource that references the source model.ĭisplay name in the AWS IoT console: SageMaker job ARN resource sudo yum -y install python-devel sudo yum -y install gcc-c++ sudo yum -y install gcc-gfortran sudo yum -y. The ML resource in the console, this is the local path.ĭisplay name in the AWS IoT console: Model destination path
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