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Use new onnx API to load model from file #1874

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Oct 11, 2018
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Use new onnx API to load model from file #1874

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2 changes: 1 addition & 1 deletion nnvm/tests/python/frontend/onnx/test_forward.py
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Original file line number Diff line number Diff line change
Expand Up @@ -66,7 +66,7 @@ def get_caffe2_output(model, x, dtype='float32'):
def verify_onnx_forward_impl(graph_file, data_shape, out_shape):
dtype = 'float32'
x = np.random.uniform(size=data_shape)
model = onnx.load(graph_file)
model = onnx.load_model(graph_file)
c2_out = get_caffe2_output(model, x, dtype)
for target, ctx in ctx_list():
tvm_out = get_tvm_output(model, x, target, ctx, out_shape, dtype)
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2 changes: 1 addition & 1 deletion nnvm/tests/python/frontend/onnx/test_graph.py
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Expand Up @@ -6,7 +6,7 @@
from model_zoo import squeezenet as squeezenet

def compare_graph(onnx_file, nnvm_sym, ishape):
onnx_model = onnx.load(onnx_file)
onnx_model = onnx.load_model(onnx_file)
onnx_sym, params = nnvm.frontend.from_onnx(onnx_model)
g1 = nnvm.graph.create(onnx_sym)
g2 = nnvm.graph.create(nnvm_sym)
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2 changes: 1 addition & 1 deletion tutorials/nnvm/from_onnx.py
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Expand Up @@ -46,7 +46,7 @@ def download(url, path, overwrite=False):
'super_resolution_0.2.onnx'])
download(model_url, 'super_resolution.onnx', True)
# now you have super_resolution.onnx on disk
onnx_model = onnx.load('super_resolution.onnx')
onnx_model = onnx.load_model('super_resolution.onnx')
# we can load the graph as NNVM compatible model
sym, params = nnvm.frontend.from_onnx(onnx_model)

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