jwfromm commented on a change in pull request #4271: [Relay][Frontend][ONNX]
operator support: DepthToSpace, SpaceToDepth
URL: https://github.com/apache/incubator-tvm/pull/4271#discussion_r344929252
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File path: tests/python/frontend/onnx/test_forward.py
##########
@@ -77,22 +77,27 @@ def get_tvm_output(graph_def, input_data, target, ctx,
output_shape=None, output
return tvm_output.asnumpy()
-def get_caffe2_output(model, x, dtype='float32'):
- import caffe2.python.onnx.backend
- prepared_backend = caffe2.python.onnx.backend.prepare(model)
- W = {model.graph.input[0].name: x.astype(dtype)}
- c2_out = prepared_backend.run(W)[0]
- return c2_out
+def get_onnxruntime_output(model, x, dtype='float32'):
+ import onnxruntime.backend
+ rep = onnxruntime.backend.prepare(model, 'CPU')
+ x = x.astype(dtype)
+ ort_out = rep.run(x)[0]
+ return ort_out
def verify_onnx_forward_impl(graph_file, data_shape, out_shape):
dtype = 'float32'
x = np.random.uniform(size=data_shape)
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)
- tvm.testing.assert_allclose(c2_out, tvm_out, rtol=1e-5, atol=1e-5)
+ try:
+ c2_out = get_onnxruntime_output(model, x, dtype)
+ except onnx.onnx_cpp2py_export.checker.ValidationError as e:
Review comment:
Oh interesting. The checker must be using the OpSet-1 version of
DepthToSpace, which doesn't have a mode argument. Maybe for our test we should
just use the default mode argument (i.e. not specifying it).
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