example_zoo/tools/tf_probability_samples.yaml

org: tensorflow
repository: probability
branch: "r0.7"
runtime_version: "1.14"
requires:
  - "tensorflow_probability==0.7"
samples:
  - module_path: tensorflow_probability/examples
    script_name: bayesian_neural_network.py
    requires:
      - "seaborn==0.9.0"
    tfgfile_wrap:
      - plot_weight_posteriors
      - plot_heldout_prediction
    args:
      - "--max_steps=3"
      - "--viz_steps=3"
    artifact: weights.png
    wait_time: 300

  # TODO: udpate the source example to write artifacts to model_dir
  # - module_paty: tensorflow_probability
  #   script_path: examples
  #   script_name: cifar10_bnn.py
  #   requires:
  #     - "matplotlib==2.2.4"
  #   args:
  #     - "--fake_data"
  #     - "--epochs=1"
  #   artifact: 
  #   wait_time: 180

  - module_path: tensorflow_probability/examples
    script_name: deep_exponential_family.py
    args:
      - "--fake_data"
      - "--max_steps=1000"
      - "--layer_sizes=5,3,2"
    artifact: events.out.tfevents
    wait_time: 180

  # TODO: fix the source example to allow using source finder (blocked by the tensorflow_probability name collision)
  # - module_path: tensorflow_probability
  #   script_path: examples
  #   script_name: disentangled_vae.py
  #   replace:
  #     - - "from tensorflow_probability.examples import sprites_dataset"
  #       - "from examples import sprites_dataset"
  #   args:
  #     - "--fake_data"
  #     - "--batch_size=2"
  #     - "--hidden_size=3"
  #     - "--latent_size_static=4"
  #     - "--latent_size_dynamic=5"
  #     - "--log_steps=1"
  #     - "--max_steps=2"
  #     - "--enable_debug_logging"
  #   artifact: -1.data-00000-of-00001
  #   wait_time: 180

  - module_path: tensorflow_probability/examples
    script_name: generative_adversarial_network.py
    requires:
      - "matplotlib==2.2.4"
    tfgfile_wrap:
      - plot_generated_images
    # TODO: update the source example
    replace:
      - - "import matplotlib.pyplot as plt"
        - "from matplotlib import figure"
      - - "plt.figure"
        - "figure.Figure"
      - - "plt.axis"
        - "ax.axis"
      - - "plt.subplots_adjust"
        - "fig.subplots_adjust"
    args:
      - "--fake_data"
      - "--max_steps=5"
      - "--viz_steps=5"
    artifact: _images.png
    wait_time: 240

  - module_path: tensorflow_probability/examples
    script_name: grammar_vae.py
    args:
      - "--max_steps=5"
      - "--latent_size=2"
      - "--num_units=3"
    artifact: -1.data-00000-of-00001
    wait_time: 240

  - module_path: tensorflow_probability/examples
    script_name: latent_dirichlet_allocation_distributions.py
    args:
      - "--fake_data"
      - "--max_steps=5"
      - "--delete_existing"
      - "--viz_steps=5"
    artifact: .data-00000-of-00001
    wait_time: 180

  - module_path: tensorflow_probability/examples
    script_name: latent_dirichlet_allocation_edward2.py
    args:
      - "--fake_data"
      - "--max_steps=5"
      - "--delete_existing"
      - "--viz_steps=5"
    artifact: .data-00000-of-00001
    wait_time: 180

  - module_path: tensorflow_probability/examples
    script_name: logistic_regression.py
    requires:
      - "matplotlib==2.2.4"
    tfgfile_wrap:
      - visualize_decision
    args:
      - "--num_examples=32"
      - "--batch_size=8"
      - "--max_steps=50"
    artifact: weights_inferred.png
    wait_time: 180

  - module_path: tensorflow_probability/examples
    script_name: vae.py
    args:
      - "--fake_data"
      - "--max_steps=5"
      - "--delete_existing"
      - "--viz_steps=5"
    artifact: .data-00000-of-00001
    wait_time: 180

  - module_path: tensorflow_probability/examples
    script_name: vq_vae.py
    requires:
      - "matplotlib==2.2.4"
    tfgfile_wrap:
      - save_imgs
    args:
      - "--max_steps=2"
      - "--base_depth=2"
    artifact: validation_reconstructions.png
    wait_time: 240