create fastai server on gcp using terraform.

fastai_on_gcp_using_terraform.tf

provider "google" {
  credentials = file("CREDENTIALS_FILE.json")
  project     = "famous-muse-247206"
  region      = "us-west1"
}

# TF-UPGRADE-TODO: Block type was not recognized, so this block and its contents were not automatically upgraded.
resource "random_id" "instance_id" {
  byte_length = 8
}

// A single Google Cloud Engine instance
resource "google_compute_instance" "default" {
  name         = "famous-muse-${random_id.instance_id.hex}"
  machine_type = "n1-standard-4"
  zone         = "us-west1-b"
  
  boot_disk {
    initialize_params {
      image = "deeplearning-platform-release/pytorch-latest-gpu"
      size = 50
    }
  }

  attached_disk {
      source = google_compute_disk.default.name
      mode = "READ_WRITE"
  }
  // Make sure flask is installed on all new instances for later steps
  metadata_startup_script = "sudo apt-get update; sudo apt-get install -yq build-essential python-pip rsync; pip install flask"

  network_interface {
    network = "default"

    access_config {
      // Include this section to give the VM an external ip address
    }
  }
  guest_accelerator{
    type = "nvidia-tesla-k80" // Type of GPU attahced
    count = 1 // Num of GPU attached
  }
  scheduling{
    on_host_maintenance = "TERMINATE" // Need to terminate GPU on maintenance
  }

  tags = ["allow-teraform"]
}

resource "google_compute_firewall" "allow-teraform" {  
    name = "allow-teraform"
    network = "default"

    allow {
        protocol = "tcp"
        ports = ["22", "80", "8080", "8888"]
    }

    source_ranges = ["0.0.0.0/0"]
    target_tags = ["allow-teraform"]
}

resource "google_compute_disk" "default" {
  name  = "disk-teraform"
  type  = "pd-ssd"
  zone  = "us-west1-b"
  image = "debian-8-jessie-v20170523"
  labels = {
    environment = "dev"
  }
  physical_block_size_bytes = 4096
}


output "ip" {
 value = "${google_compute_instance.default.network_interface.0.access_config.0.nat_ip}"
}

not able to do ssh. WIP