def test_bug_graph(self):
this = os.path.abspath(os.path.dirname(__file__))
data = os.path.join(this, "data", "bug_graph.onnx")
oinf = OnnxInference(
data,
inside_loop=True,
static_inputs=['StatefulPartitionedCall/Reshape:0'])
text = oinf.to_text(distance=8)
self.assertIn(
"cond___pcen/simple_rnn/while/Identity_graph_outputs_Identity__4:0",
text)
def test_onnxt_text_seq(self):
idi = numpy.identity(2).astype(numpy.float32)
idi2 = (numpy.identity(2) * 2).astype(numpy.float32)
onx = OnnxAdd(OnnxAdd('X', idi, op_version=TARGET_OPSET),
idi2,
output_names=['Y'],
op_version=TARGET_OPSET)
model_def = onx.to_onnx({'X': idi.astype(numpy.float32)},
target_opset=TARGET_OPSET)
oinf = OnnxInference(model_def)
text = oinf.to_text(kind='seq')
self.assertIn('input:', text)
def test_onnx_simple_text_plot_if(self):
opv = TARGET_OPSET
x1 = numpy.array([[0, 3], [7, 0]], dtype=numpy.float32)
x2 = numpy.array([[1, 0], [2, 0]], dtype=numpy.float32)
node = OnnxAdd('x1', 'x2', output_names=['absxythen'], op_version=opv)
then_body = node.to_onnx({
'x1': x1,
'x2': x2
},
target_opset=opv,
outputs=[('absxythen', FloatTensorType())])
node = OnnxSub('x1', 'x2', output_names=['absxyelse'], op_version=opv)
else_body = node.to_onnx({
'x1': x1,
'x2': x2
},
target_opset=opv,
outputs=[('absxyelse', FloatTensorType())])
del else_body.graph.input[:]
del then_body.graph.input[:]
cond = OnnxGreater(OnnxReduceSum('x1', op_version=opv),
OnnxReduceSum('x2', op_version=opv),
op_version=opv)
ifnode = OnnxIf(cond,
then_branch=then_body.graph,
else_branch=else_body.graph,
op_version=opv,
output_names=['y'])
model_def = ifnode.to_onnx({
'x1': x1,
'x2': x2
},
target_opset=opv,
outputs=[('y', FloatTensorType())])
text = onnx_simple_text_plot(model_def)
expected = textwrap.dedent("""
input:
""").strip(" \n")
self.assertIn(expected, text)
self.assertIn("If(Gr_C0) -> y", text)
oinf = OnnxInference(model_def)
text2 = oinf.to_text(kind="seq")
self.assertEqual(text, text2)
def test_bug_graph_infinite(self):
this = os.path.abspath(os.path.dirname(__file__))
data = os.path.join(this, "data", "bug_graph_infinite.onnx")
oinf = OnnxInference(data, inside_loop=True)
text = oinf.to_text(distance=8)
self.assertIn("slice_end", text)
