generator_training_config.json

{
  "adversarial_loss": "hinge",
  "batch_size": 32,
  "beta1": 0.5,
  "beta2": 0.999,
  "checkpoint_every": 1000,
  "data_cache_dir": null,
  "device": "cuda",
  "epochs": 25,
  "eval_at_end": true,
  "eval_batch_size": 32,
  "eval_every": 1000,
  "eval_num_fake": 2048,
  "eval_num_real": 2048,
  "image_size": 64,
  "lambda_fm": 0.0,
  "lambda_gp": 10.0,
  "lambda_perc": 0.0,
  "log_every": 50,
  "lr_d": 0.0002,
  "lr_g": 0.0002,
  "max_steps": null,
  "metrics_device": null,
  "n_critic": 1,
  "n_samples_grid": 64,
  "ndf": 64,
  "ngf": 64,
  "num_classes": 10,
  "num_workers": 2,
  "nz": 100,
  "output_root": "outputs",
  "run_name": "gan_run",
  "sample_every": 500,
  "seed": 42,
  "spectral_norm_d": true,
  "tags": {},
  "task": "mnist",
  "use_bf16": true,
  "use_gradient_penalty": false,
  "use_wandb": true,
  "wandb_entity": null,
  "wandb_mode": "online",
  "wandb_project": "week06-gan"
}