906   TENSOR tensor2[CNN_MAX_BRANCHES] = { { 0 } };  in av1_cnn_predict_c()  local
920     init_tensor(&tensor2[b]);  in av1_cnn_predict_c()
935       // Swap tensor1 and tensor2  in av1_cnn_predict_c()
936       swap_tensor(&tensor1[branch], &tensor2[branch]);  in av1_cnn_predict_c()
947       if (!realloc_tensor(&tensor2[branch], layer_config->out_channels, o_width,  in av1_cnn_predict_c()
952       free_tensor(&tensor2[branch]);  in av1_cnn_predict_c()
953       assign_tensor(&tensor2[branch], output[output_num],  in av1_cnn_predict_c()
965                                           branch, tensor2)) {  in av1_cnn_predict_c()
971     assert(tensor2[branch].channels == layer_config->out_channels);  in av1_cnn_predict_c()
979                           tensor2[branch].buf, tensor2[branch].stride);  in av1_cnn_predict_c()
984                          tensor2[branch].buf, tensor2[branch].stride, 0, 1);  in av1_cnn_predict_c()
990                          tensor2[branch].buf, tensor2[branch].stride);  in av1_cnn_predict_c()
994       if (!copy_active_tensor_to_branches(&tensor2[branch], layer_config,  in av1_cnn_predict_c()
995                                           branch, tensor2)) {  in av1_cnn_predict_c()
1004           assert(check_tensor_equal_size(&tensor2[b], &tensor2[branch]));  in av1_cnn_predict_c()
1005           av1_cnn_add(tensor2[branch].buf, tensor2[branch].channels,  in av1_cnn_predict_c()
1006                       tensor2[branch].width, tensor2[branch].height,  in av1_cnn_predict_c()
1007                       tensor2[branch].stride, (const float **)tensor2[b].buf);  in av1_cnn_predict_c()
1013     av1_cnn_activate(tensor2[branch].buf, tensor2[branch].channels,  in av1_cnn_predict_c()
1014                      tensor2[branch].width, tensor2[branch].height,  in av1_cnn_predict_c()
1015                      tensor2[branch].stride, layer_config->activation);  in av1_cnn_predict_c()
1019           tensor2[branch].buf, tensor2[branch].channels, tensor2[branch].width,  in av1_cnn_predict_c()
1020           tensor2[branch].height, tensor2[branch].stride,  in av1_cnn_predict_c()
1030             assert(check_tensor_equal_dims(&tensor2[b], &tensor2[branch]));  in av1_cnn_predict_c()
1031             assert(tensor2[b].channels > 0);  in av1_cnn_predict_c()
1032             if (!concat_tensor(&tensor2[b], &tensor2[branch])) goto Error;  in av1_cnn_predict_c()
1036         const int existing_channels = tensor2[branch].channels;  in av1_cnn_predict_c()
1040             assert(check_tensor_equal_dims(&tensor2[b], &tensor2[branch]));  in av1_cnn_predict_c()
1042             num_chs += tensor2[b].channels;  in av1_cnn_predict_c()
1045         assign_tensor(&tensor2[branch], output[output_num], num_chs, o_width,  in av1_cnn_predict_c()
1051             assert(check_tensor_equal_dims(&tensor2[b], &tensor2[branch]));  in av1_cnn_predict_c()
1053             copy_tensor(&tensor2[b], tensor2[b].channels, num_chs,  in av1_cnn_predict_c()
1054                         &tensor2[branch]);  in av1_cnn_predict_c()
1055             num_chs += tensor2[b].channels;  in av1_cnn_predict_c()
1062       if (!copy_active_tensor_to_branches(&tensor2[branch], layer_config,  in av1_cnn_predict_c()
1063                                           branch, tensor2)) {  in av1_cnn_predict_c()
1073     free_tensor(&tensor2[b]);  in av1_cnn_predict_c()