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Improves translation to GraphBuilder #95

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Feb 18, 2025
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ch
  • Loading branch information
xadupre committed Feb 18, 2025
commit 9351aca031473e2c61b8ef9329bd954d02e7b07d
2 changes: 1 addition & 1 deletion CHANGELOGS.rst
Original file line number Diff line number Diff line change
Expand Up @@ -4,7 +4,7 @@ Change Logs
0.3.1
+++++

* :pr:`94`: improves translation to GraphBuilder
* :pr:`95`: improves translation to GraphBuilder

0.3.0
+++++
Expand Down
63 changes: 60 additions & 3 deletions _unittests/ut_translate_api/test_translate_builder.py
Original file line number Diff line number Diff line change
Expand Up @@ -8,7 +8,8 @@
from onnx_array_api.ext_test_case import ExtTestCase
from onnx_array_api.light_api import start
from onnx_array_api.graph_api import GraphBuilder
from onnx_array_api.translate_api import translate
from onnx_array_api.translate_api import translate, Translater
from onnx_array_api.translate_api.builder_emitter import BuilderEmitter


OPSET_API = min(19, onnx_opset_version() - 1)
Expand Down Expand Up @@ -38,7 +39,7 @@ def light_api(
op.Identity(Y, outputs=["Y"])
return Y

g = GraphBuilder({'': 19})
g = GraphBuilder({'': 19}, ir_version=11)
g.make_tensor_input("X", TensorProto.FLOAT, ())
light_api(g.op, "X")
g.make_tensor_output("Y", TensorProto.FLOAT, ())
Expand Down Expand Up @@ -89,7 +90,7 @@ def light_api(
op.Identity(Y, outputs=["Y"])
return Y

g = GraphBuilder({'': 19})
g = GraphBuilder({'': 19}, ir_version=11)
g.make_tensor_input("X", TensorProto.FLOAT, ())
light_api(g.op, "X")
g.make_tensor_output("Y", TensorProto.FLOAT, ())
Expand Down Expand Up @@ -117,6 +118,62 @@ def light_api(
self.assertNotEmpty(model)
check_model(model)

def test_exp_f(self):
onx = start(opset=19).vin("X").Exp().rename("Y").vout().to_onnx()
self.assertIsInstance(onx, ModelProto)
self.assertIn("Exp", str(onx))
ref = ReferenceEvaluator(onx)
a = np.arange(10).astype(np.float32)
got = ref.run(None, {"X": a})[0]
self.assertEqualArray(np.exp(a), got)

tr = Translater(onx, emitter=BuilderEmitter("mm"))
code = tr.export(as_str=True)

expected = dedent(
"""
def light_api(
op: "GraphBuilder",
X: "FLOAT[]",
):
Y = op.Exp(X)
op.Identity(Y, outputs=["Y"])
return Y


def mm() -> "ModelProto":
g = GraphBuilder({'': 19}, ir_version=11)
g.make_tensor_input("X", TensorProto.FLOAT, ())
light_api(g.op, "X")
g.make_tensor_output("Y", TensorProto.FLOAT, ())
model = g.to_onnx()
return model


model = mm()
"""
).strip("\n")
self.assertEqual(expected, code.strip("\n"))

def light_api(
op: "GraphBuilder",
X: "FLOAT[]", # noqa: F722
):
Y = op.Exp(X)
op.Identity(Y, outputs=["Y"])
return Y

g2 = GraphBuilder({"": 19})
g2.make_tensor_input("X", TensorProto.FLOAT, ("A",))
light_api(g2.op, "X")
g2.make_tensor_output("Y", TensorProto.FLOAT, ("A",))
onx2 = g2.to_onnx()

ref = ReferenceEvaluator(onx2)
a = np.arange(10).astype(np.float32)
got = ref.run(None, {"X": a})[0]
self.assertEqualArray(np.exp(a), got)


if __name__ == "__main__":
unittest.main(verbosity=2)
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