0e26a337bd0808e85152ccddd8d1fd29f24784e9,examples/2d-measure-accuracy.py,,train,#,70

Before Change

        "reduce": [tf.reduce_mean,hg.losses.wgan_loss.linear_projection,tf.reduce_sum,tf.reduce_logsumexp],
        "reverse": [True, False]
    }
    losses.append([hg.losses.wgan_loss.config(**loss_opts)])
    losses.append([hg.losses.lamb_gan_loss.config(**loss_opts)])
    encoders.append([hg.encoders.linear_encoder.config(**encoder_opts)])
    custom_config = {

After Change

            "projections": projections
            }

    stable_encoder_opts = {
      "max": 1,
      "min": -1,
      "modes": 8,
      "projections": [[
        "function:hypergan.encoders.linear_encoder.modal",
        "function:hypergan.encoders.linear_encoder.sphere",
        "function:hypergan.encoders.linear_encoder.linear"
      ]],
      "z": 16
    }

    losses = []

    loss_opts = {

Instances