diff --git a/torchsummary/torchsummary.py b/torchsummary/torchsummary.py
index 1ed065f..a090a0d 100644
--- a/torchsummary/torchsummary.py
+++ b/torchsummary/torchsummary.py
@@ -7,11 +7,11 @@
 
 
 def summary(model, input_size, batch_size=-1, device=torch.device('cuda:0'), dtypes=None):
-    result, params_info = summary_string(
+    result, summary_info = summary_string(
         model, input_size, batch_size, device, dtypes)
     print(result)
 
-    return params_info
+    return summary_info
 
 
 def summary_string(model, input_size, batch_size=-1, device=torch.device('cuda:0'), dtypes=None):
@@ -19,7 +19,7 @@ def summary_string(model, input_size, batch_size=-1, device=torch.device('cuda:0
         dtypes = [torch.FloatTensor]*len(input_size)
 
     summary_str = ''
-
+    summary_info = {"params_info": tuple(), "size_info": tuple()}
     def register_hook(module):
         def hook(module, input, output):
             class_name = str(module.__class__).split(".")[-1].split("'")[0]
@@ -117,4 +117,8 @@ def hook(module, input, output):
     summary_str += "Estimated Total Size (MB): %0.2f" % total_size + "\n"
     summary_str += "----------------------------------------------------------------" + "\n"
     # return summary
-    return summary_str, (total_params, trainable_params)
+
+    summary_info['params_info'] = (total_params, trainable_params)
+    summary_info['size_info'] = (total_input_size, total_output_size, total_params_size, total_size)
+    
+    return summary_str, summary_info