Support one input case for Min/Max to pass ONNX backend tests.

Source/CNTKv2LibraryDll/proto/onnx/ONNXToCNTK.cpp

@@ -2353,12 +2353,14 @@ FunctionPtr ONNXToCNTKHelper::CreateFunction(const Node *node, const std::vector
     }
     else if (onnxOpName == "Max")
     {
-        FunctionPtr cntkFunction = ElementMax(inputs[0], inputs[1], ToFixedWStringFromMultiByte(node->Name()));
+        // TODO: Support more than 2 inputs.
+        FunctionPtr cntkFunction = ElementMax(inputs[0], inputs.size() > 1 ? inputs[1] : inputs[0], ToFixedWStringFromMultiByte(node->Name()));
         return cntkFunction;
     }
     else if (onnxOpName == "Min")
     {
-        FunctionPtr cntkFunction = ElementMin(inputs[0], inputs[1], ToFixedWStringFromMultiByte(node->Name()));
+        // TODO: Support more than 2 inputs.
+        FunctionPtr cntkFunction = ElementMin(inputs[0], inputs.size() > 1 ? inputs[1] : inputs[0], ToFixedWStringFromMultiByte(node->Name()));
         return cntkFunction;
     }
     else if (onnxOpName == "Sum")

bindings/python/onnx_cntk/tests/onnx_backend_test.py

@@ -35,10 +35,6 @@ skip_models = [
 
 skip_ops = [
     # These tests crash and prevent tests after them from running.
-    'test_max_one_input_cpu',
-    'test_max_one_input_cuda',
-    'test_min_one_input_cpu',
-    'test_min_one_input_cuda',
     'test_reshape_extended_dims_cpu',
     'test_reshape_extended_dims_cuda',
     'test_reshape_negative_dim_cpu',