In this guide we will only focus on using the prebuilt images from Docker Hub.
Prerequisites: You have Git, Docker, Docker compose and Nginx pre-installed.
Clone Mastodon's repository.
In this guide we will only focus on using the prebuilt images from Docker Hub.
Prerequisites: You have Git, Docker, Docker compose and Nginx pre-installed.
Clone Mastodon's repository.
Largely based on the Tensorflow 1.6 gist, and Tensorflow 1.7 gist for xcode, this should hopefully simplify things a bit.
https://gist.github.com/geekcui/ce0bda3dc40d048666fe904c0a2f1017
https://github.com/geekcui/tensorflow-macos-egpu
macOS: 10.13.3
WebDriver: 387.10.10.10.25.156
oxygen-system-vm ~ # fdisk -l /dev/sda | |
GPT PMBR size mismatch (41943039 != 62914559) will be corrected by w(rite). | |
Disk /dev/sda: 30 GiB, 32212254720 bytes, 62914560 sectors | |
Units: sectors of 1 * 512 = 512 bytes | |
Sector size (logical/physical): 512 bytes / 512 bytes | |
I/O size (minimum/optimal): 512 bytes / 512 bytes | |
Disklabel type: gpt | |
Disk identifier: 10B93AE8-1045-434C-A36E-F7801B17CE32 | |
Device Start End Sectors Size Type |
This configuration worked for me, hope it helps
It is based on: https://becominghuman.ai/deep-learning-gaming-build-with-nvidia-titan-xp-and-macbook-pro-with-thunderbolt2-5ceee7167f8b
and on: https://stackoverflow.com/questions/44744737/tensorflow-mac-os-gpu-support
Follow these steps to remove all archives from an AWS vault. After this is finished, you will be able to delete the vault itself through the browser console.
This will create a job that collects required information about the vault.
$ aws glacier initiate-job --job-parameters '{"Type": "inventory-retrieval"}' --account-id YOUR_ACCOUNT_ID --region YOUR_REGION --vault-name YOUR_VAULT_NAME