fix: configuration of dspn runs

launch_run.sh

@@ -0,0 +1,14 @@
+#!/bin/bash
+
+MODEL=$1
+CONF=$2
+
+if [ -z "$MODEL" ]; then
+  echo "argument 1 (model) was not specified"
+fi
+
+if [ -z "$CONF" ]; then
+  echo "argument 2 (conf) was not specified"
+fi
+
+screen -S $CONF -d -m python3 models/${MODEL}.py $CONF

model_config/dspn_budget_normal.yaml

@@ -0,0 +1,13 @@
+experiment_name: dspn_first
+layers_width: 256
+latent_dim: 32
+activation_function: "ELU"
+depth: 2
+weight_decay: 1.0e-4
+max_epochs: 1000
+rel_name: 'budget'
+batch_size: 1024
+divide_output_layer: True
+latent_l1_norm: 10.0
+max_set_size: 200
+dspn_iter: 4

model_config/dspn_result_normal.yaml

@@ -0,0 +1,13 @@
+experiment_name: dspn_first
+layers_width: 256
+latent_dim: 32
+activation_function: "ELU"
+depth: 2
+weight_decay: 1.0e-4
+max_epochs: 20
+rel_name: 'result'
+batch_size: 1024
+divide_output_layer: True
+latent_l1_norm: 10.0
+max_set_size: 200
+dspn_iter: 4

model_config/dspn_result_short.yaml

@@ -0,0 +1,13 @@
+experiment_name: dspn_first
+layers_width: 3
+latent_dim: 2
+activation_function: "ELU"
+depth: 5
+weight_decay: 0
+max_epochs: 2
+rel_name: 'result'
+batch_size: 1024
+divide_output_layer: True
+latent_l1_norm: 10.0
+max_set_size: 200
+dspn_iter: 4

model_config/result_normal_bottleneck.yaml

@@ -4,7 +4,7 @@ latent_dim: 32
 activation_function: "ELU"
 depth: 2
 weight_decay: 1.0e-4
-max_epochs: 1000
+max_epochs: 20
 rel_name: 'result'
 batch_size: 1024
 divide_output_layer: True

model_config/result_short_test.yaml

@@ -9,4 +9,3 @@ rel_name: 'result'
 batch_size: 1024
 divide_output_layer: True
 latent_l1_norm: 10.0
-max_set_size: 200

models/dspn_autoencoder.py

@@ -111,7 +111,7 @@ def __init__(self, **kwargs):
             kwargs['item_dim'],
             self.max_set_size,
             kwargs['item_dim'],
-            10, # number of iteration on the decoder # FIXME: to conf
+            kwargs['dspn_iter'], # number of iteration on the decoder # FIXME: to conf
             800, # inner learning rate # FIXME: to conf
         )