fix build

.clang-format

@@ -27,7 +27,7 @@ IncludeCategories:
     Priority:        1
   # standard C++ headers
   # TODO: add as needed
-  - Regex:           ^<(algorithm|array|condition_variable|functional|iostream|map|memory|mutex|numeric|string|thread|type_traits|vector)>$
+  - Regex:           ^<(algorithm|array|condition_variable|functional|iomanip|iostream|map|memory|mutex|numeric|string|thread|type_traits|vector)>$
     Priority:        2
   # third party headers
   - Regex:           ^<stdtensor>

examples/example_model_plain50.cpp

@@ -20,25 +20,27 @@ class plain50_model
     using bn_layer = nn::layers::batch_norm<image_order, relu>;
 
     using flatten = nn::layers::flatten<1, 3>;
-    using conv = nn::layers::conv<image_order, filter_order, false>;
+    using conv = nn::layers::conv<image_order, filter_order, true>;
     using softmax = nn::layers::activation<nn::ops::softmax>;
 
     auto conv7x7(int d) const
     {
         using conv_relu =
-            nn::layers::conv<image_order, filter_order, false, relu>;
-
+            nn::layers::conv<image_order, filter_order, true, relu>;
         return with_init(conv_relu(d, conv_relu::ksize(7, 7),
                                    conv_relu::padding_same(),
                                    conv_relu::stride(2, 2)),
-                         show_name("w"));
+                         show_name("conv1/kernel"), show_name("conv1/bias"));
     }
 
     auto bn() const
     {
         return with_init(bn_layer(),  //
-                         show_name("mean"), show_name("var"), show_name("beta"),
-                         show_name("gamma"));
+                                      //  show_name("mean"), show_name("var"),
+                         nn::ops::noop(),  //
+                         nn::ops::noop(),  //
+                         show_name("bn_conv?/beta"),
+                         show_name("bn_conv?/gamma"));
     }
 
     auto pool1() const
@@ -58,14 +60,16 @@ class plain50_model
     {
         return with_init(conv(d, conv::ksize(1, 1), conv::padding_same(),
                               conv::stride(s, s)),
-                         show_name("W"));
+                         show_name("res??_branch??/kernel"),
+                         show_name("res??_branch??/bias"));
     }
 
     auto conv3x3(int d, int s) const
     {
         return with_init(conv(d, conv::ksize(3, 3), conv::padding_same(),
                               conv::stride(s, s)),
-                         show_name("W"));
+                         show_name("res??_branch??/kernel"),
+                         show_name("res??_branch??/bias"));
     }
 
     // auto conv2_x() const {}

examples/utils.hpp

@@ -1,3 +1,5 @@
+#include <iomanip>
+#include <iostream>
 #include <string>
 
 #include <stdtensor>
@@ -50,7 +52,8 @@ class show_name
     template <typename R, ttl::rank_t r>
     void operator()(const ttl::tensor_ref<R, r> &y) const
     {
-        std::cerr << name_ << " :: " << std::endl;
+        std::cerr << std::left << std::setw(32) << name_
+                  << " :: " << show_shape(y.shape()) << std::endl;
     }
 };
 }  // namespace nn::layers::debug