[GitHub] zhreshold commented on a change in pull request #12812: [MXNET-886] ONNX export: HardSigmoid, Less, Greater, Equal, InstanceNorm

[GitBox <gi...@apache.org>]

zhreshold commented on a change in pull request #12812: [MXNET-886] ONNX export: HardSigmoid, Less, Greater, Equal, InstanceNorm
URL: https://github.com/apache/incubator-mxnet/pull/12812#discussion_r225744224
 
 

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 File path: python/mxnet/contrib/onnx/mx2onnx/export_onnx.py
 ##########
 @@ -118,31 +118,39 @@ def forward_pass(inputs, sym, arg_params, aux_params, output_label):
                       if graph_input not in arg_params and graph_input not in aux_params
                       and graph_input != output_label]
 
+        data_forward = []
         data_shapes = []
         # Adding extra dimension of batch_size 1 if the batch_size is different for multiple inputs.
         for idx, input_name in enumerate(data_names):
-            data_shapes.append((input_name, inputs[idx].shape))
+            val = inputs[idx]
+            data_shapes.append((input_name, val.shape))
+            data_forward.append(nd.array(val))
 
         # create module, passing cpu context
         ctx = context.cpu()
-        test_mod = mod.Module(symbol=sym, data_names=data_names, context=ctx, label_names=None)
-        test_mod.bind(for_training=False, data_shapes=data_shapes, label_shapes=None)
 
-        # initializing parameters for calculating result of each individual node
-        if arg_params is None and aux_params is None:
-            test_mod.init_params()
-        else:
-            test_mod.set_params(arg_params=arg_params, aux_params=aux_params, allow_missing=True)
+        # module bind method requires all data to have same batch size,
 
 Review comment:
   why not use sym.bind whatsoever

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