<commit_before>{
  "description": "The original famous DCGAN.  Limited to 64x64x3",
  "publication": "https://arxiv.org/abs/1511.06434",
  "discriminator": 
  {
    "class": "class:hypergan.discriminators.dcgan_discriminator.DCGANDiscriminator",
    "activation": "lrelu",
    "initializer": "random_normal",
    "random_stddev": 0.02
  },
  "latent":
  {
    "class": "function:hypergan.distributions.uniform_distribution.UniformDistribution",
    "projections": [
      "function:hypergan.distributions.uniform_distribution.identity"
    ],
    "min": -1,
    "max": 1,
    "z": 100
  },
  "generator": {
    "class": "function:hypergan.generators.dcgan_generator.DCGANGenerator",
    "initializer": "random_normal",
    "random_stddev": 0.02,
    "activation": "relu"
  },
  "loss":
  {
    "class": "function:hypergan.losses.standard_loss.StandardLoss",
    "reduce": "reduce_mean"
  },
    "trainer": {
  "class": "function:hypergan.trainers.simultaneous_trainer.SimultaneousTrainer",
        "optimizer": {
          "class": "function:hypergan.optimizers.curl_optimizer.CurlOptimizer",
          "learn_rate": 0.00001,
          "optimizer": {
            "class": "function:hypergan.optimizers.elastic_weight_consolidation_optimizer.ElasticWeightConsolidationOptimizer",
            "f_decay": 0.5,


      "optimizer": {
       "class": "function:hypergan.optimizers.giga_wolf_optimizer.GigaWolfOptimizer",

      "optimizer": {
    "class": "function:tensorflow.python.training.adam.AdamOptimizer",
    "learn_rate": 1e-4,
      "beta1":0.0,
      "beta2":0.999
  },
   "optimizer2": {
    "class": "function:tensorflow.python.training.adam.AdamOptimizer",
    "learn_rate": 3e-5,
    "beta1":0.0,
    "beta2":0.999
   }
      }
      }
   }
    },
  "class": "class:hypergan.gans.standard_gan.StandardGAN"

}<commit_msg>[feature] dcgan-curl and dcgan-localnash configs<commit_after>{
  "description": "Crossing the curl with finite differences",
  "publication": "https://arxiv.org/pdf/1808.01531.pdf",
  "discriminator":
  {
    "class": "class:hypergan.discriminators.dcgan_discriminator.DCGANDiscriminator",
    "activation": "lrelu",
    "initializer": "random_normal",
    "random_stddev": 0.02
  },
  "latent":
  {
    "class": "function:hypergan.distributions.uniform_distribution.UniformDistribution",
    "projections": [
      "function:hypergan.distributions.uniform_distribution.identity"
    ],
    "min": -1,
    "max": 1,
    "z": 100
  },
  "generator": {
    "class": "function:hypergan.generators.dcgan_generator.DCGANGenerator",
    "initializer": "random_normal",
    "random_stddev": 0.02,
    "activation": "relu"
  },
  "loss":
  {
    "class": "function:hypergan.losses.standard_loss.StandardLoss",
    "reduce": "reduce_mean"
  },
    "trainer": {
    "class": "function:hypergan.trainers.simultaneous_trainer.SimultaneousTrainer",
    "optimizer": {
      "class": "function:hypergan.optimizers.curl_optimizer.CurlOptimizer",
      "learn_rate": 0.00001,
      "optimizer": {
        "class": "function:hypergan.optimizers.elastic_weight_consolidation_optimizer.ElasticWeightConsolidationOptimizer",
        "f_decay": 0.5,
        "optimizer": {
          "class": "function:hypergan.optimizers.giga_wolf_optimizer.GigaWolfOptimizer",

          "optimizer": {
            "class": "function:tensorflow.python.training.adam.AdamOptimizer",
            "learn_rate": 1e-4,
            "beta1":0.0,
            "beta2":0.999
          },
          "optimizer2": {
            "class": "function:tensorflow.python.training.adam.AdamOptimizer",
            "learn_rate": 3e-5,
            "beta1":0.0,
            "beta2":0.999
          }
        }
      }
    }
  },
  "class": "class:hypergan.gans.standard_gan.StandardGAN"
}
{'fraction_non_alphanumeric': 0.15576820839978733, 'fraction_numerical': 0.02737905369484317, 'mean_word_length': 3.232845894263217, 'pattern_counts': {'":': 84, '<': 3, '<?xml version=': 0, '>': 3, 'https://': 2, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'dir': 'git-commits-cleaned', 'id': '4725568', 'n_tokens_mistral': 1390, 'n_tokens_neox': 1290, 'n_words': 157}