hypopt_conf.yaml

### THIS FILE IS ONLY NEEDED FOR THE SIGOPT EXPERIMENT
model:
  dataset_path: #TODO: PATH TO DATASET
  entry_point: "Experiments.py" # The python file name that includes the function for evaluating the suggestions
  function_name: "sig_opt_experiment"
  copy_data: true # If the data should be copied in the workspace
git_options:
  git_uri: "git@github.com:u-adrian/PraktikumNN.git"
  branch: "main" # Either branch or version can be used. Using the option version allows to load specific tags
experiment:
  use_local_workspace: false # If a local experiment folder should be created in root folder or a dedicated workspace
                            # directory (https://wiki.bwhpc.de/e/Workspace)
  experiment_name: "GAN_sig_opt_dev"
  cluster: "bwunicluster"  # Either "bwunicluster" or "horeka"
  number_chain_jobs: 4 # How many times should a job - the suggestion evaluation - be chained together. It is used to
                       # cirumvent the problem of time outs in the cluster
  multimetric_experiment: true
parameters:
  - name: learning_rate
    type: double
    bounds:
      max: 1.0
      min: 0.0
  - name: noise_size
    type: int
    bounds:
      max: 100
      min: 10
  - name: num_epochs
    type: int
    bounds:
      max: 70
      min: 1
  - name: real_img_fake_label
    type: "categorical"
      categorical_values:
        - "true"
        - "false"
  - name: generator_discriminator
    type: "categorical"
    categorical_values:
    - "small_gan"
    - "res_net_depth1"
    - "res_net_depth2"
    - "res_net_depth1_leaky"
  - name: weight_init,
    type: "categorical"
    categorical_values:
    - "normal"
    - "xavier"
metrics:
  - name: inception_score
    objective: maximize
    strategy: optimize
  - name: fid
    objective: minimize
    strategy: optimize
sbatch_options:
  partition: "dev_gpu_4"
  gres: "gpu:1"
  ntasks: 10
  mem: 64gb
  time: "48:00:00"
  constraint: "LSDF"
sigopt_options:
  dev_run: true # If the dev api of sigopt should be used to get the suggestions
  project_name: "GAN_project"
  client_id: 11949
  observation_budget: 30 # Max number of trials
  parallel_bandwidth: 4 # Number of parallel evaluations