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From GitBox <...@apache.org>
Subject [GitHub] [incubator-singa] nudles commented on a change in pull request #416: singa-onnx
Date Mon, 11 Mar 2019 03:37:00 GMT
nudles commented on a change in pull request #416: singa-onnx
URL: https://github.com/apache/incubator-singa/pull/416#discussion_r264084037
 
 

 ##########
 File path: python/singa/sonnx.py
 ##########
 @@ -257,24 +255,28 @@ def to_onnx_model(inputs, y, model_name='sonnx'):
         the onnx model
     '''
     node = []
-    inputsx=inputs
     dependency = autograd.infer_dependency(y.creator)
     ready = deque([y.creator])
 
-    def output_name(op, index):
-        return '{}:{}'.format(op.name, index)
+    def output_name(op):
+        return '{}'.format(op.name)
 
     input_ids = set(id(x) for x in inputs)
     X = []
+    for x in inputs:
+        dtype = TensorProto.FLOAT
+        if y.dtype == tensor.int32:
+            dtype = TensorProto.INT
+        X.append(helper.make_tensor_value_info(x.name, dtype, x.shape))
     Y = [helper.make_tensor_value_info(
-        output_name(y.creator, 0), TensorProto.FLOAT, y.shape)]
+        output_name(y.creator), TensorProto.FLOAT, y.shape)]
 
     while len(ready) > 0:
         op = ready.pop()
         assert not isinstance(op, autograd.Dummy)
-        outputs = [output_name(op, idx)
+        outputs = [output_name(op)
 
 Review comment:
   if there are multiple outputs, then they all would have the same name.

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