diff --git a/_doc/api/translate_api.rst b/_doc/api/translate_api.rst index b554538..f2d90df 100644 --- a/_doc/api/translate_api.rst +++ b/_doc/api/translate_api.rst @@ -39,6 +39,12 @@ InnerEmitter .. autoclass:: onnx_array_api.translate_api.inner_emitter.InnerEmitter :members: +InnerEmitterShortInitializer +++++++++++++++++++++++++++++ + +.. autoclass:: onnx_array_api.translate_api.inner_emitter.InnerEmitterShortInitializer + :members: + LightEmitter ++++++++++++ diff --git a/_unittests/ut_ort/test_ort_profile.py b/_unittests/ut_ort/test_ort_profile.py index e868860..6e139cb 100644 --- a/_unittests/ut_ort/test_ort_profile.py +++ b/_unittests/ut_ort/test_ort_profile.py @@ -57,8 +57,6 @@ def myloss(x, y): prof = ort_profile(optimized, feeds) events = { "kernel_time", - "fence_before", - "fence_after", "SequentialExecutor::Execute", "model_run", "model_loading_array", diff --git a/_unittests/ut_translate_api/test_translate_classic.py b/_unittests/ut_translate_api/test_translate_classic.py index acee6e5..4f65b99 100644 --- a/_unittests/ut_translate_api/test_translate_classic.py +++ b/_unittests/ut_translate_api/test_translate_classic.py @@ -178,6 +178,75 @@ def test_transpose(self): self.maxDiff = None self.assertEqual(expected, code) + def test_transpose_short(self): + onx = ( + start(opset=19) + .vin("X") + .reshape((-1, 1)) + .Transpose(perm=[1, 0]) + .rename("Y") + .vout() + .to_onnx() + ) + self.assertIsInstance(onx, ModelProto) + self.assertIn("Transpose", str(onx)) + ref = ReferenceEvaluator(onx) + a = np.arange(10).astype(np.float32) + got = ref.run(None, {"X": a})[0] + self.assertEqualArray(a.reshape((-1, 1)).T, got) + + code = translate(onx, api="onnx-short") + expected = dedent( + """ + opset_imports = [ + make_opsetid('', 19), + ] + inputs = [] + outputs = [] + nodes = [] + initializers = [] + sparse_initializers = [] + functions = [] + initializers.append( + from_array( + np.array([-1, 1], dtype=np.int64), + name='r' + ) + ) + inputs.append(make_tensor_value_info('X', TensorProto.FLOAT, shape=[])) + nodes.append( + make_node_extended( + 'Reshape', + ['X', 'r'], + ['r0_0'] + ) + ) + nodes.append( + make_node_extended( + 'Transpose', + ['r0_0'], + ['Y'], + perm=[1, 0] + ) + ) + outputs.append(make_tensor_value_info('Y', TensorProto.FLOAT, shape=[])) + graph = make_graph( + nodes, + 'light_api', + inputs, + outputs, + initializers, + sparse_initializer=sparse_initializers, + ) + model = make_model( + graph, + functions=functions, + opset_imports=opset_imports + )""" + ).strip("\n") + self.maxDiff = None + self.assertEqual(expected, code) + def test_topk_reverse(self): onx = ( start(opset=19) diff --git a/onnx_array_api/translate_api/__init__.py b/onnx_array_api/translate_api/__init__.py index 12b4a77..a9a8932 100644 --- a/onnx_array_api/translate_api/__init__.py +++ b/onnx_array_api/translate_api/__init__.py @@ -1,6 +1,6 @@ from onnx import ModelProto from .translate import Translater -from .inner_emitter import InnerEmitter +from .inner_emitter import InnerEmitter, InnerEmitterShortInitializer from .builder_emitter import BuilderEmitter @@ -16,7 +16,8 @@ def translate(proto: ModelProto, single_line: bool = False, api: str = "light") :class:`onnx_array_api.translate_api.light_emitter.LightEmitter`, another value is `"onnx"` which is the inner API implemented in onnx package, `"builder"` follows the syntax for the - class :class:`onnx_array_api.graph_api.GraphBuilder` + class :class:`onnx_array_api.graph_api.GraphBuilder`, + `"onnx-short"` replaces long initializer with random values :return: code .. runpython:: @@ -84,6 +85,9 @@ class :class:`onnx_array_api.graph_api.GraphBuilder` if api == "onnx": tr = Translater(proto, emitter=InnerEmitter()) return tr.export(as_str=True) + if api == "onnx-short": + tr = Translater(proto, emitter=InnerEmitterShortInitializer()) + return tr.export(as_str=True) if api == "builder": tr = Translater(proto, emitter=BuilderEmitter()) return tr.export(as_str=True) diff --git a/onnx_array_api/translate_api/inner_emitter.py b/onnx_array_api/translate_api/inner_emitter.py index abdf04a..de63dcc 100644 --- a/onnx_array_api/translate_api/inner_emitter.py +++ b/onnx_array_api/translate_api/inner_emitter.py @@ -106,6 +106,7 @@ def _emit_initializer(self, **kwargs: Dict[str, Any]) -> List[str]: raise NotImplementedError(f"Unexpected dtype={sdtype}.") else: sdtype = f"np.{sdtype}" + return [ "initializers.append(", f" {fra}(", @@ -209,3 +210,57 @@ def _emit_end_function(self, **kwargs: Dict[str, Any]) -> List[str]: ")", ] return lines + + +class InnerEmitterShortInitializer(InnerEmitter): + """ + Converts event into proper code. + Initializer are replaced by random values if too big. + """ + + def _emit_initializer(self, **kwargs: Dict[str, Any]) -> List[str]: + name = kwargs["name"] + value = kwargs["value"] + repl = {"bool": "bool_", "object": "object_", "str": "str_"} + fra = "from_array" + sdtype = repl.get(str(value.dtype), str(value.dtype)) + if sdtype.startswith("("): + from onnx.reference.custom_element_types import float8e4m3fn + + if sdtype == str(float8e4m3fn): + sdtype = "float8e4m3fn" + fra = "from_array_extended" + else: + raise NotImplementedError(f"Unexpected dtype={sdtype}.") + else: + sdtype = f"np.{sdtype}" + if value.size <= 16: + return [ + "initializers.append(", + f" {fra}(", + f" np.array({value.tolist()}, dtype={sdtype}),", + f" name={name!r}", + " )", + ")", + ] + if "int" in sdtype: + return [ + f"value = np.random.randint(0, 10, size={value.shape})" + f".astype({sdtype})", + "initializers.append(", + f" {fra}(", + f" np.array(value, dtype={sdtype}),", + f" name={name!r}", + " )", + ")", + ] + return [ + f"value = np.random.randn({', '.join(map(str,value.shape))})" + f".astype({sdtype})", + "initializers.append(", + f" {fra}(", + f" np.array(value, dtype={sdtype}),", + f" name={name!r}", + " )", + ")", + ] pFad - 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