fix multucanal nn~ in multi inlet outlet setup

src/backend/backend.cpp

@@ -35,12 +35,13 @@ void Backend::perform(std::vector<float *> in_buffer,
 
   // COPY BUFFER INTO A TENSOR
   std::vector<at::Tensor> tensor_in;
-  for (int i(0); i < in_buffer.size(); i++) {
-    tensor_in.push_back(torch::from_blob(in_buffer[i], {1, 1, n_vec}));
-  }
+  for (auto buf : in_buffer)
+    tensor_in.push_back(torch::from_blob(buf, {1, 1, n_vec}));
+
   auto cat_tensor_in = torch::cat(tensor_in, 1);
-  cat_tensor_in = cat_tensor_in.reshape({n_batches, in_dim, -1, in_ratio});
+  cat_tensor_in = cat_tensor_in.reshape({in_dim, n_batches, -1, in_ratio});
   cat_tensor_in = cat_tensor_in.select(-1, -1);
+  cat_tensor_in = cat_tensor_in.permute({1, 0, 2});
 
   if (m_cuda_available)
     cat_tensor_in = cat_tensor_in.to(CUDA);

src/frontend/maxmsp/mc.nn_tilde/mc.nn_tilde.cpp

@@ -37,6 +37,7 @@ class mc_nn_tilde : public object<mc_nn_tilde>, public mc_operator<> {
   // INLETS OUTLETS
   std::vector<std::unique_ptr<inlet<>>> m_inlets;
   std::vector<std::unique_ptr<outlet<>>> m_outlets;
+
   // CHANNELS
   std::vector<int> chans;
   int get_batches();
@@ -391,17 +392,8 @@ void mc_nn_tilde::perform(audio_bundle input, audio_bundle output) {
   }
 
   // COPY CIRCULAR BUFFER TO OUTPUT
-  // for (int c(0); c < output.channel_count(); c++) {
-  //   auto out = output.samples(c);
-  //   auto current_batch = c % get_batches();
-  //   m_out_buffer[c].get(out, vec_size);
-  // }
-  std::cout << output.channel_count() << ";" << m_out_dim << std::endl;
-  std::cout << m_outlets.size() << ";" << get_batches() << std::endl;
   for (int b(0); b < get_batches(); b++) {
     for (int d(0); d < m_outlets.size(); d++) {
-      std::cout << b << ";" << d << ";" << b * m_outlets.size() + d
-                << std::endl;
       auto out = output.samples(d * get_batches() + b);
       m_out_buffer[b * m_outlets.size() + d].get(out, vec_size);
     }