Onnx opset support (#416)

nnvm/tests/ci_build/install/ubuntu_install_onnx.sh

-pip2 install onnx>=0.2.0
-pip3 install onnx>=0.2.0
+pip2 install onnx>=1.1.0
+pip3 install onnx>=1.1.0
 
 pip2 install http://download.pytorch.org/whl/cu75/torch-0.2.0.post3-cp27-cp27mu-manylinux1_x86_64.whl
 pip2 install torchvision

nnvm/tests/python/frontend/onnx/test_forward.py

@@ -14,8 +14,8 @@ def verify_onnx_forward_impl(graph_file, data_shape, out_shape):
         c2_out = prepared_backend.run(W)[0]
         return c2_out
 
-    def get_tvm_output(graph, x, target, ctx, dtype='float32'):
-        new_sym, params = nnvm.frontend.from_onnx(graph)
+    def get_tvm_output(model, x, target, ctx, dtype='float32'):
+        new_sym, params = nnvm.frontend.from_onnx(model)
         shape_dict = {'input_0': x.shape}
         graph, lib, params = nnvm.compiler.build(new_sym, target, shape_dict, params=params)
         m = graph_runtime.create(graph, lib, ctx)

nnvm/tests/python/frontend/onnx/test_graph.py

@@ -5,8 +5,8 @@ from nnvm.compiler import graph_util, graph_attr
 from model_zoo import super_resolution, super_resolution_sym
 
 def compare_graph(onnx_file, nnvm_sym, ishape):
-    onnx_graph = onnx.load(onnx_file)
-    onnx_sym, params = nnvm.frontend.from_onnx(onnx_graph)
+    onnx_model = onnx.load(onnx_file)
+    onnx_sym, params = nnvm.frontend.from_onnx(onnx_model)
     g1 = nnvm.graph.create(onnx_sym)
     g2 = nnvm.graph.create(nnvm_sym)
     ishapes = {'input_0': ishape}

nnvm/tutorials/from_onnx.py

@@ -44,9 +44,9 @@ model_url = ''.join(['https://gist.github.com/zhreshold/',
                      'super_resolution_0.2.onnx'])
 download(model_url, 'super_resolution.onnx', True)
 # now you have super_resolution.onnx on disk
-onnx_graph = onnx.load('super_resolution.onnx')
+onnx_model = onnx.load('super_resolution.onnx')
 # we can load the graph as NNVM compatible model
-sym, params = nnvm.frontend.from_onnx(onnx_graph)
+sym, params = nnvm.frontend.from_onnx(onnx_model)
 
 ######################################################################
 # Load a test image