Merge branch 'data_parallel' into data_parallel_py3.8

# Conflicts:
#	models/part_net.py
#	models/rgb_part_net.py

1 files changed, 8 insertions, 16 deletions

diff --git a/config.py b/config.py
index 424bf5b..03f2f0d 100644
--- a/config.py
+++ b/config.py
@@ -37,7 +37,7 @@ config: Configuration = {
         # Batch size (pr, k)
         # `pr` denotes number of persons
         # `k` denotes number of sequences per person
-        'batch_size': (4, 8),
+        'batch_size': (4, 6),
         # Number of workers of Dataloader
         'num_workers': 4,
         # Faster data transfer from RAM to GPU if enabled
@@ -49,22 +49,14 @@ config: Configuration = {
             # Auto-encoder feature channels coefficient
             'ae_feature_channels': 64,
             # Appearance, canonical and pose feature dimensions
-            'f_a_c_p_dims': (128, 128, 64),
+            'f_a_c_p_dims': (192, 192, 96),
             # Use 1x1 convolution in dimensionality reduction
             'hpm_use_1x1conv': False,
             # HPM pyramid scales, of which sum is number of parts
             'hpm_scales': (1, 2, 4),
             # Global pooling method
             'hpm_use_avg_pool': True,
-            'hpm_use_max_pool': False,
-            # FConv feature channels coefficient
-            'fpfe_feature_channels': 32,
-            # FConv blocks kernel sizes
-            'fpfe_kernel_sizes': ((5, 3), (3, 3), (3, 3)),
-            # FConv blocks paddings
-            'fpfe_paddings': ((2, 1), (1, 1), (1, 1)),
-            # FConv blocks halving
-            'fpfe_halving': (0, 2, 3),
+            'hpm_use_max_pool': True,
             # Attention squeeze ratio
             'tfa_squeeze_ratio': 4,
             # Number of parts after Part Net
@@ -72,7 +64,7 @@ config: Configuration = {
             # Embedding dimension for each part
             'embedding_dims': 256,
             # Triplet loss margins for HPM and PartNet
-            'triplet_margins': (0.2, 0.2),
+            'triplet_margins': (1.5, 1.5),
         },
         'optimizer': {
             # Global parameters
@@ -91,15 +83,15 @@ config: Configuration = {
             # 'amsgrad': False,
 
             # Local parameters (override global ones)
-            'auto_encoder': {
-                'weight_decay': 0.001
-            },
+            # 'auto_encoder': {
+            #     'weight_decay': 0.001
+            # },
         },
         'scheduler': {
             # Period of learning rate decay
             'step_size': 500,
             # Multiplicative factor of decay
-            'gamma': 0.9,
+            'gamma': 1,
         }
     },
     # Model metadata