add stochastic clipping, latent normalization, feature loss to initial pass

1 files changed, 18 insertions, 2 deletions

diff --git a/cli/app/commands/biggan/extract_dense_vectors.py b/cli/app/commands/biggan/extract_dense_vectors.py
index 2436ce6..7dc25bc 100644
--- a/cli/app/commands/biggan/extract_dense_vectors.py
+++ b/cli/app/commands/biggan/extract_dense_vectors.py
@@ -15,8 +15,19 @@ from app.search.json import params_dense_dict
   help='Number of optimization iterations')
 @click.option('-v', '--video', 'opt_video', is_flag=True,
   help='Export a video for each dataset')
+@click.option('-sc', '--stochastic_clipping', 'opt_stochastic_clipping', default=0
+  help='Compute feature loss')
+@click.option('-lc', '--label_clipping', 'opt_label_clipping', default=0,
+  help='Normalize labels every N steps')
+@click.option('-feat', '--use_feature_detector', 'opt_use_feature_detector', is_flag=True,
+  help='Compute feature loss')
+@click.option('-ll', '--feature_layers', 'opt_feature_layers', default="1a,2a,4a,7a"
+  help='Feature layers used for loss')
+@click.option('-snap', '--snapshot_interval', 'opt_snapshot_interval', default=20
+  help='Interval to store sample images')
 @click.pass_context
-def cli(ctx, opt_folder_id, opt_latent_steps, opt_dense_steps, opt_video):
+def cli(ctx, opt_folder_id, opt_latent_steps, opt_dense_steps, opt_video,
+  opt_stochastic_clipping, opt_label_clipping, opt_use_feature_detector, opt_feature_layers, opt_snapshot_interval):
   """
   The full process:
   - Fetch new images from the cortex
@@ -42,7 +53,12 @@ def cli(ctx, opt_folder_id, opt_latent_steps, opt_dense_steps, opt_video):
     opt_steps=opt_dense_steps,
     opt_video=opt_video,
     opt_tag=tag,
-    opt_limit=-1
+    opt_limit=-1,
+    opt_stochastic_clipping=opt_stochastic_clipping,
+    opt_label_clipping=opt_label_clipping,
+    opt_use_feature_detector=opt_use_feature_detector,
+    opt_feature_layers=opt_feature_layers,
+    opt_snapshot_interval=opt_snapshot_interval
   )
 
   params = params_dense_dict(tag)