Tensorboard

Write to LogDirs by the environment variable

Environment variable

• SUBMARINE_TENSORBOARD_LOG_DIR: Exist in every experiment container. You just need to direct your logs to $(SUBMARINE_TENSORBOARD_LOG_DIR) (NOTICE: it is () not {}), and you can inspect the process on the tensorboard webpage.

Example

{
  "meta": {
    "name": "tensorflow-tensorboard-dist-mnist",
    "namespace": "default",
    "framework": "TensorFlow",
    "cmd": "python /var/tf_mnist/mnist_with_summaries.py --log_dir=$(SUBMARINE_TENSORBOARD_LOG_DIR) --learning_rate=0.01 --batch_size=20",
    "envVars": {
      "ENV_1": "ENV1"
    }
  },
  "environment": {
    "image": "apache/submarine:tf-mnist-with-summaries-1.0"
  },
  "spec": {
    "Worker": {
      "replicas": 1,
      "resources": "cpu=1,memory=512M"
    }
  }
}

Connect to the tensorboard webpage

1. Open the experiment page in the workbench, and Click the TensorBoard button.

2. Inspect the process on tensorboard page.