Add from_onnx_text function to convert ONNX text to IR model

docs/ir/ir_api/core.md

@@ -16,6 +16,7 @@
     ir.load
     ir.save
     ir.from_proto
+    ir.from_onnx_text
     ir.to_proto
     ir.tensor
     ir.node

onnxscript/ir/__init__.py

@@ -71,6 +71,7 @@
     "TensorProtoTensor",
     # Conversion functions
     "from_proto",
+    "from_onnx_text",
     "to_proto",
     # Convenience constructors
     "tensor",
@@ -144,7 +145,7 @@
     TypeProtocol,
     ValueProtocol,
 )
-from onnxscript.ir.serde import TensorProtoTensor, from_proto, to_proto
+from onnxscript.ir.serde import TensorProtoTensor, from_onnx_text, from_proto, to_proto
 
 
 def __set_module() -> None:

onnxscript/ir/passes/common/inliner_test.py

@@ -8,7 +8,6 @@
 from typing import Callable, Sequence
 
 import onnx
-from onnx import parser
 
 from onnxscript import ir
 from onnxscript.ir.passes.common import inliner
@@ -44,14 +43,12 @@ def _check(
         self, input_model: str, expected_model: str, renameable: Sequence[str] | None = None
     ) -> None:
         name_check = _name_checker(renameable)
-        model_proto = parser.parse_model(input_model)
-        model_ir = ir.serde.deserialize_model(model_proto)
+        model_ir = ir.from_onnx_text(input_model)
         inliner.InlinePass()(model_ir)
         proto = ir.serde.serialize_model(model_ir)
         text = onnx.printer.to_text(proto)
         print(text)
-        expected_proto = parser.parse_model(expected_model)
-        expected_ir = ir.serde.deserialize_model(expected_proto)
+        expected_ir = ir.from_onnx_text(expected_model)
         self.assertEqual(len(model_ir.graph), len(expected_ir.graph))
         for node, expected_node in zip(model_ir.graph, expected_ir.graph):
             # TODO: handle node renaming

onnxscript/ir/serde.py

@@ -21,6 +21,7 @@
     "TensorProtoTensor",
     # Deserialization
     "from_proto",
+    "from_onnx_text",
     "deserialize_attribute",
     "deserialize_dimension",
     "deserialize_function",
@@ -190,6 +191,15 @@ def from_proto(proto: object) -> object:
     )
 
 
+def from_onnx_text(model_text: str, /) -> _core.Model:
+    """Convert the ONNX textual representation to an IR model.
+
+    Read more about the textual representation at: https://onnx.ai/onnx/repo-docs/Syntax.html
+    """
+    proto = onnx.parser.parse_model(model_text)
+    return deserialize_model(proto)
+
+
 @typing.overload
 def to_proto(ir_object: _protocols.ModelProtocol) -> onnx.ModelProto: ...  # type: ignore[overload-overlap]
 @typing.overload

onnxscript/optimizer/_constant_folding_test.py

@@ -13,16 +13,10 @@
 from onnxscript.optimizer import _constant_folding
 
 
-def _create_model(model_text: str) -> ir.Model:
-    """Create a model from the given text."""
-    model = onnx.parser.parse_model(model_text)
-    return ir.serde.deserialize_model(model)
-
-
 class FoldConstantsTest(unittest.TestCase):
     def _fold(self, model: ir.Model | str, onnx_shape_inference=False, **kwargs):
         if isinstance(model, str):
-            model = _create_model(model)
+            model = ir.from_onnx_text(model)
         _constant_folding.fold_constants(
             model, onnx_shape_inference=onnx_shape_inference, **kwargs
         )
@@ -552,7 +546,7 @@ def test_large_transpose(self):
                 z = MatMul (x, wt)
             }
         """
-        model = _create_model(model_text)
+        model = ir.from_onnx_text(model_text)
         w = model.graph.initializers["w"]
         w.shape = ir.Shape([512, 256])
         w.const_value = ir.tensor(np.random.random((512, 256)).astype(np.float32))

onnxscript/rewriter/no_op_test.py

@@ -2,7 +2,6 @@
 # Licensed under the MIT License.
 import unittest
 
-import onnx.parser
 import parameterized
 
 from onnxscript import ir
@@ -11,8 +10,7 @@
 
 class NoOpTest(unittest.TestCase):
     def _check(self, model_text: str) -> None:
-        model_proto = onnx.parser.parse_model(model_text)
-        model = ir.serde.deserialize_model(model_proto)
+        model = ir.from_onnx_text(model_text)
         count = no_op.rules.apply_to_model(model)
         self.assertEqual(count, 1)
         self.assertEqual(model.graph[-1].op_type, "Identity")

onnxscript/version_converter/_version_converter_test.py

@@ -5,7 +5,6 @@
 import unittest
 
 import onnx.defs
-import onnx.parser
 
 from onnxscript import ir, version_converter
 
@@ -43,7 +42,7 @@ def test_upstream_coverage(self):
             self.assertIn((name, upgrade_version), op_upgrades)
 
     def test_version_convert_non_standard_onnx_domain(self):
-        model_proto = onnx.parser.parse_model(
+        model = ir.from_onnx_text(
             """
             <ir_version: 7, opset_import: [ "local" : 1]>
             agraph (float[4, 512, 512] input_x, float[4, 1024, 1024] input_y) => (float[4, 1024, 1024] output)
@@ -58,7 +57,6 @@ def test_version_convert_non_standard_onnx_domain(self):
             }
         """
         )
-        model = ir.serde.deserialize_model(model_proto)
         self.assertEqual(model.graph.node(4).op_type, "GridSample")
         self.assertEqual(model.graph.node(4).attributes["mode"].value, "bilinear")
 
@@ -76,7 +74,7 @@ def test_version_convert_non_standard_onnx_domain(self):
 
 class VersionConverter18to17Test(unittest.TestCase):
     def test_version_convert_compatible(self):
-        model_proto = onnx.parser.parse_model(
+        model = ir.from_onnx_text(
             """
             <ir_version: 7, opset_import: [ "" : 18]>
             agraph (float[1, 4, 512, 512] input_x, float[1, 4, 512, 64] input_y) => (float[1, 4, 512, 64] output)
@@ -91,14 +89,13 @@ def test_version_convert_compatible(self):
             }
         """
         )
-        model = ir.serde.deserialize_model(model_proto)
         target_version = 17
         version_converter.convert_version(model, target_version=target_version)
 
 
 class VersionConverter18to19Test(unittest.TestCase):
     def test_version_convert_compatible(self):
-        model_proto = onnx.parser.parse_model(
+        model = ir.from_onnx_text(
             """
             <ir_version: 7, opset_import: [ "" : 18]>
             agraph (float[1, 4, 512, 512] input_x, float[1, 4, 512, 64] input_y) => (float[1, 4, 512, 64] output)
@@ -113,7 +110,6 @@ def test_version_convert_compatible(self):
             }
         """
         )
-        model = ir.serde.deserialize_model(model_proto)
         target_version = 19
         version_converter.convert_version(model, target_version=target_version)
 
@@ -127,7 +123,7 @@ def test_version_convert_compatible(self):
 
 class VersionConverter19to20Test(unittest.TestCase):
     def test_version_convert_compatible(self):
-        model_proto = onnx.parser.parse_model(
+        model = ir.from_onnx_text(
             """
             <ir_version: 7, opset_import: [ "" : 18]>
             agraph (float[4, 512, 512] input_x) => (float[4, 257, 64, 2] output)
@@ -140,7 +136,6 @@ def test_version_convert_compatible(self):
             }
         """
         )
-        model = ir.serde.deserialize_model(model_proto)
         target_version = 20
         version_converter.convert_version(model, target_version=target_version)
 
@@ -155,7 +150,7 @@ def test_version_convert_compatible(self):
         self.assertEqual(len(model.graph.node(3).inputs), 2)
 
     def test_version_convert_gridsample_linear(self):
-        model_proto = onnx.parser.parse_model(
+        model = ir.from_onnx_text(
             """
             <ir_version: 7, opset_import: [ "" : 18]>
             agraph (float[4, 512, 512] input_x, float[4, 1024, 1024] input_y) => (float[4, 1024, 1024] output)
@@ -170,7 +165,6 @@ def test_version_convert_gridsample_linear(self):
             }
         """
         )
-        model = ir.serde.deserialize_model(model_proto)
         self.assertEqual(model.graph.node(4).op_type, "GridSample")
         self.assertEqual(model.graph.node(4).attributes["mode"].value, "bilinear")
 
@@ -186,7 +180,7 @@ def test_version_convert_gridsample_linear(self):
         self.assertEqual(model.graph.node(4).attributes["mode"].value, "linear")
 
     def test_version_convert_gridsample_cubic(self):
-        model_proto = onnx.parser.parse_model(
+        model = ir.from_onnx_text(
             """
             <ir_version: 7, opset_import: [ "" : 18]>
             agraph (float[4, 512, 512] input_x, float[4, 1024, 1024] input_y) => (float[4, 1024, 1024] output)
@@ -201,7 +195,6 @@ def test_version_convert_gridsample_cubic(self):
             }
         """
         )
-        model = ir.serde.deserialize_model(model_proto)
         self.assertEqual(model.graph.node(4).op_type, "GridSample")
         self.assertEqual(model.graph.node(4).attributes["mode"].value, "bicubic")
 
@@ -217,7 +210,7 @@ def test_version_convert_gridsample_cubic(self):
         self.assertEqual(model.graph.node(4).attributes["mode"].value, "cubic")
 
     def test_version_convert_inline(self):
-        model_proto = onnx.parser.parse_model(
+        model = ir.from_onnx_text(
             """
             <ir_version: 8, opset_import: [ "" : 18]>
             agraph (float[4, 512, 512] input_x, float[4, 1024, 1024] input_y) => (float[4, 257, 64, 2] output)
@@ -236,7 +229,6 @@ def test_version_convert_inline(self):
             }
         """
         )
-        model = ir.serde.deserialize_model(model_proto)
         target_version = 20
         version_converter.convert_version(model, target_version=target_version)
 
@@ -254,7 +246,7 @@ def test_version_convert_inline(self):
 
 class VersionConverter20to21Test(unittest.TestCase):
     def test_version_groupnorm(self):
-        model_proto = onnx.parser.parse_model(
+        model = ir.from_onnx_text(
             """
             <ir_version: 7, opset_import: [ "" : 18]>
             agraph (float[1, 4, 512, 512] input_x, float[2] scale, float[2] bias) => (float[4, 512, 512] output)
@@ -265,7 +257,6 @@ def test_version_groupnorm(self):
             }
         """
         )
-        model = ir.serde.deserialize_model(model_proto)
         target_version = 21
         version_converter.convert_version(model, target_version=target_version)
 
@@ -285,7 +276,7 @@ def test_version_groupnorm(self):
         self.assertEqual(model.graph.node(9).version, 21)
 
     def test_version_groupnorm_no_bias(self):
-        model_proto = onnx.parser.parse_model(
+        model = ir.from_onnx_text(
             """
             <ir_version: 7, opset_import: [ "" : 18]>
             agraph (float[1, 4, 512, 512] input_x, float[2] scale) => (float[4, 512, 512] output)
@@ -296,7 +287,6 @@ def test_version_groupnorm_no_bias(self):
             }
         """
         )
-        model = ir.serde.deserialize_model(model_proto)
         target_version = 21
         version_converter.convert_version(model, target_version=target_version)
 
@@ -306,7 +296,7 @@ def test_version_groupnorm_no_bias(self):
 
 class VersionConverter23to24Test(unittest.TestCase):
     def test_version_convert_compatible(self):
-        model_proto = onnx.parser.parse_model(
+        model = ir.from_onnx_text(
             """
             <ir_version: 7, opset_import: [ "" : 23]>
             agraph (float[1, 4, 512, 512] input_x, float[1, 4, 512, 64] input_y) => (float[1, 4, 512, 64] output)
@@ -321,7 +311,6 @@ def test_version_convert_compatible(self):
             }
         """
         )
-        model = ir.serde.deserialize_model(model_proto)
         target_version = 24
         version_converter.convert_version(model, target_version=target_version)