From c131638fa71bf4b3b72f73274643634f33dac6ff Mon Sep 17 00:00:00 2001
From: HuguesTHOMAS <huguesthomas218@gmail.com>
Date: Thu, 2 Apr 2020 17:44:27 -0400
Subject: [PATCH] Initial commit

---
 models/architectures.py | 2 --
 models/blocks.py        | 4 +++-
 2 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/models/architectures.py b/models/architectures.py
index e84e87c..c547ff7 100644
--- a/models/architectures.py
+++ b/models/architectures.py
@@ -53,7 +53,6 @@ class KPCNN(nn.Module):
                 break
 
             # Apply the good block function defining tf ops
-            print(block, r)
             self.block_ops.append(block_decider(block,
                                                 r,
                                                 in_dim,
@@ -331,7 +330,6 @@ class KPFCNN(nn.Module):
             if block_i in self.encoder_skips:
                 skip_x.append(x)
             x = block_op(x, batch)
-            print(block_op)
 
         for block_i, block_op in enumerate(self.decoder_blocs):
             if block_i in self.decoder_concats:
diff --git a/models/blocks.py b/models/blocks.py
index 0f27622..f7965a7 100644
--- a/models/blocks.py
+++ b/models/blocks.py
@@ -356,7 +356,9 @@ class KPConv(nn.Module):
         return torch.sum(kernel_outputs, dim=0)
 
     def __repr__(self):
-        return "KPConv(radius: %.2f, in_feat: %i, out_feat: %i)"% (self.radius, self.in_channels, self.out_channels)
+        return 'KPConv(radius: {:.2f}, in_feat: {:d}, out_feat: {:d})'.format(self.radius,
+                                                                              self.in_channels,
+                                                                              self.out_channels)
 
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