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Commit1b49fee

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committed
export to builder
1 parenta54de21 commit1b49fee

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6 files changed

+278
-12
lines changed

6 files changed

+278
-12
lines changed

‎_unittests/ut_translate_api/test_translate.py

Lines changed: 0 additions & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -221,5 +221,4 @@ def test_aionnxml(self):
221221

222222

223223
if__name__=="__main__":
224-
TestTranslate().test_export_if()
225224
unittest.main(verbosity=2)
Lines changed: 70 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,70 @@
1+
importunittest
2+
fromtextwrapimportdedent
3+
importnumpyasnp
4+
fromonnximportModelProto,TensorProto
5+
fromonnx.defsimportonnx_opset_version
6+
fromonnx.referenceimportReferenceEvaluator
7+
fromonnx_array_api.ext_test_caseimportExtTestCase
8+
fromonnx_array_api.light_apiimportstart
9+
fromonnx_array_api.graph_apiimportGraphBuilder
10+
fromonnx_array_api.translate_apiimporttranslate
11+
12+
13+
OPSET_API=min(19,onnx_opset_version()-1)
14+
15+
16+
classTestTranslateBuilder(ExtTestCase):
17+
defsetUp(self):
18+
self.maxDiff=None
19+
20+
deftest_exp(self):
21+
onx=start(opset=19).vin("X").Exp().rename("Y").vout().to_onnx()
22+
self.assertIsInstance(onx,ModelProto)
23+
self.assertIn("Exp",str(onx))
24+
ref=ReferenceEvaluator(onx)
25+
a=np.arange(10).astype(np.float32)
26+
got=ref.run(None, {"X":a})[0]
27+
self.assertEqualArray(np.exp(a),got)
28+
29+
code=translate(onx,api="builder")
30+
expected=dedent(
31+
"""
32+
def light_api(
33+
op: "GraphBuilder",
34+
X: "FLOAT[]",
35+
):
36+
Y = op.Exp(X)
37+
op.Identity(Y, outputs=["Y"])
38+
return Y
39+
40+
g = GraphBuilder({'': 19})
41+
g.make_tensor_input("X", TensorProto.FLOAT, ())
42+
light_api(g.op, X)
43+
g.make_tensor_output("Y", TensorProto.FLOAT, ())
44+
model = g.to_onnx()
45+
"""
46+
).strip("\n")
47+
self.assertEqual(expected,code.strip("\n"))
48+
49+
deflight_api(
50+
op:"GraphBuilder",
51+
X:"FLOAT[]",# noqa: F722
52+
):
53+
Y=op.Exp(X)
54+
op.Identity(Y,outputs=["Y"])
55+
returnY
56+
57+
g2=GraphBuilder({"":19})
58+
g2.make_tensor_input("X",TensorProto.FLOAT, ("A",))
59+
light_api(g2.op,"X")
60+
g2.make_tensor_output("Y",TensorProto.FLOAT, ("A",))
61+
onx2=g2.to_onnx()
62+
63+
ref=ReferenceEvaluator(onx2)
64+
a=np.arange(10).astype(np.float32)
65+
got=ref.run(None, {"X":a})[0]
66+
self.assertEqualArray(np.exp(a),got)
67+
68+
69+
if__name__=="__main__":
70+
unittest.main(verbosity=2)

‎onnx_array_api/translate_api/__init__.py

Lines changed: 28 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -1,6 +1,7 @@
11
fromonnximportModelProto
22
from .translateimportTranslater
33
from .inner_emitterimportInnerEmitter
4+
from .builder_emitterimportBuilderEmitter
45

56

67
deftranslate(proto:ModelProto,single_line:bool=False,api:str="light")->str:
@@ -14,7 +15,8 @@ def translate(proto: ModelProto, single_line: bool = False, api: str = "light")
1415
default is `"light"` and this is handle by class
1516
:class:`onnx_array_api.translate_api.light_emitter.LightEmitter`,
1617
another value is `"onnx"` which is the inner API implemented
17-
in onnx package.
18+
in onnx package, `"builder"` follows the syntax for the
19+
class :class:`onnx_array_api.graph_api.GraphBuilder`
1820
:return: code
1921
2022
.. runpython::
@@ -35,7 +37,7 @@ def translate(proto: ModelProto, single_line: bool = False, api: str = "light")
3537
code = translate(onx)
3638
print(code)
3739
38-
The inner API from onnxpackahe is also available.
40+
The inner API from onnxpackage is also available.
3941
4042
.. runpython::
4143
:showcode:
@@ -54,11 +56,35 @@ def translate(proto: ModelProto, single_line: bool = False, api: str = "light")
5456
)
5557
code = translate(onx, api="onnx")
5658
print(code)
59+
60+
The :class:`GraphBuilder
61+
<onnx_array_api.graph_api.GraphBuilder>` API returns this:
62+
63+
.. runpython::
64+
:showcode:
65+
66+
from onnx_array_api.light_api import start
67+
from onnx_array_api.translate_api import translate
68+
69+
onx = (
70+
start()
71+
.vin("X")
72+
.reshape((-1, 1))
73+
.Transpose(perm=[1, 0])
74+
.rename("Y")
75+
.vout()
76+
.to_onnx()
77+
)
78+
code = translate(onx, api="builder")
79+
print(code)
5780
"""
5881
ifapi=="light":
5982
tr=Translater(proto)
6083
returntr.export(single_line=single_line,as_str=True)
6184
ifapi=="onnx":
6285
tr=Translater(proto,emitter=InnerEmitter())
6386
returntr.export(as_str=True)
87+
ifapi=="builder":
88+
tr=Translater(proto,emitter=BuilderEmitter())
89+
returntr.export(as_str=True)
6490
raiseValueError(f"Unexpected value{api!r} for api.")

‎onnx_array_api/translate_api/base_emitter.py

Lines changed: 28 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -21,6 +21,10 @@ class EventType(IntEnum):
2121
FUNCTION_OUTPUT=12
2222
FUNCTION_ATTRIBUTES=13
2323
TO_ONNX_FUNCTION=14
24+
BEGIN_SIGNATURE=15
25+
END_SIGNATURE=16
26+
BEGIN_RETURN=17
27+
END_RETURN=18
2428

2529
@classmethod
2630
defto_str(cls,self)->str:
@@ -84,6 +88,18 @@ def __call__(self, event: EventType, **kwargs: Dict[str, Any]) -> List[str]:
8488
ifevent==EventType.FUNCTION_ATTRIBUTES:
8589
returnself._emit_function_attributes(**kwargs)
8690

91+
ifevent==EventType.BEGIN_SIGNATURE:
92+
returnself._emit_begin_signature(**kwargs)
93+
94+
ifevent==EventType.END_SIGNATURE:
95+
returnself._emit_end_signature(**kwargs)
96+
97+
ifevent==EventType.BEGIN_RETURN:
98+
returnself._emit_begin_return(**kwargs)
99+
100+
ifevent==EventType.END_RETURN:
101+
returnself._emit_end_return(**kwargs)
102+
87103
raiseValueError(f"Unexpected event{EventType.to_str(event)}.")
88104

89105
defrender_attribute_value(self,value:Any)->Tuple[List[str],str]:
@@ -222,3 +238,15 @@ def _emit_function_attributes(self, **kwargs: Dict[str, Any]) -> List[str]:
222238
raiseNotImplementedError(
223239
f"Method{inspect.currentframe().f_code.co_name!r} was not overloaded."
224240
)
241+
242+
def_emit_begin_signature(self,**kwargs:Dict[str,Any])->List[str]:
243+
return []
244+
245+
def_emit_end_signature(self,**kwargs:Dict[str,Any])->List[str]:
246+
return []
247+
248+
def_emit_begin_return(self,**kwargs:Dict[str,Any])->List[str]:
249+
return []
250+
251+
def_emit_end_return(self,**kwargs:Dict[str,Any])->List[str]:
252+
return []
Lines changed: 132 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,132 @@
1+
fromtypingimportAny,Dict,List
2+
fromonnximportTensorProto
3+
from .base_emitterimportBaseEmitter
4+
5+
_types= {
6+
TensorProto.FLOAT:"FLOAT",
7+
TensorProto.FLOAT16:"FLOAT16",
8+
TensorProto.INT64:"INT64",
9+
TensorProto.INT32:"INT32",
10+
}
11+
12+
13+
def_itype_to_string(itype:int)->str:
14+
return_types[itype]
15+
16+
17+
classBuilderEmitter(BaseEmitter):
18+
"""
19+
Converts event into proper code.
20+
"""
21+
22+
defjoin(self,rows:List[str],single_line:bool=False)->str:
23+
"Join the rows"
24+
assert (
25+
notsingle_line
26+
),f"The emitter{type(self)} does not work with single_line=True."
27+
return"\n".join(rows)
28+
29+
def_emit_start(self,**kwargs:Dict[str,Any])->List[str]:
30+
self.opsets=kwargs.get("opsets", {})
31+
return []
32+
33+
def_emit_to_onnx_model(self,**kwargs:Dict[str,Any])->List[str]:
34+
inps=", ".join(["g.op",*self.inputs])
35+
inputs= []
36+
forinp,stype,shapeinself.inputs_full_:
37+
inputs.append(f'g.make_tensor_input("{inp}", TensorProto.{stype},{shape})')
38+
outputs= []
39+
forinp,stype,shapeinself.outputs_full_:
40+
outputs.append(
41+
f'g.make_tensor_output("{inp}", TensorProto.{stype},{shape})'
42+
)
43+
rows= [
44+
"",
45+
f"g = GraphBuilder({self.opsets})",
46+
*inputs,
47+
f"{self.name}({inps})",
48+
*outputs,
49+
"model = g.to_onnx()",
50+
]
51+
returnrows
52+
53+
def_emit_begin_graph(self,**kwargs:Dict[str,Any])->List[str]:
54+
self.inputs= []
55+
self.inputs_full= []
56+
self.outputs= []
57+
self.inits= []
58+
self.inputs_full_= []
59+
self.outputs_full_= []
60+
self.name=kwargs.get("name","make_graph")
61+
return []
62+
63+
def_emit_end_graph(self,**kwargs:Dict[str,Any])->List[str]:
64+
return []
65+
66+
def_emit_initializer(self,**kwargs:Dict[str,Any])->List[str]:
67+
assertFalse,f"not implemented yet with{kwargs}"
68+
69+
def_emit_input(self,**kwargs:Dict[str,Any])->List[str]:
70+
name=kwargs["name"]
71+
itype=kwargs.get("elem_type",0)
72+
shape=kwargs.get("shape",None)
73+
ifitype==0:
74+
inp="X"
75+
else:
76+
ifshapeisNone:
77+
inp=f'X: "{_itype_to_string(itype)}"'
78+
else:
79+
inp=f'X: "{_itype_to_string(itype)}[{", ".join(map(str,shape))}]"'
80+
self.inputs_full.append(inp)
81+
self.inputs.append(name)
82+
self.inputs_full_.append((name,_itype_to_string(itype),shape))
83+
return []
84+
85+
def_emit_begin_signature(self,**kwargs:Dict[str,Any])->List[str]:
86+
return []
87+
88+
def_emit_end_signature(self,**kwargs:Dict[str,Any])->List[str]:
89+
rows= ["",f"def{self.name}(",' op: "GraphBuilder",']
90+
foriinself.inputs_full:
91+
rows.append(f"{i},")
92+
rows.append("):")
93+
returnrows
94+
95+
def_emit_begin_return(self,**kwargs:Dict[str,Any])->List[str]:
96+
return []
97+
98+
def_emit_end_return(self,**kwargs:Dict[str,Any])->List[str]:
99+
outs=", ".join(self.outputs)
100+
return [f" return{outs}"]
101+
102+
def_emit_output(self,**kwargs:Dict[str,Any])->List[str]:
103+
name=kwargs["name"]
104+
itype=kwargs.get("elem_type",0)
105+
shape=kwargs.get("shape",None)
106+
self.outputs.append(name)
107+
self.outputs_full_.append((name,_itype_to_string(itype),shape))
108+
return [f' op.Identity({name}, outputs=["{name}"])']
109+
110+
def_emit_node(self,**kwargs:Dict[str,Any])->List[str]:
111+
op_type=kwargs["op_type"]
112+
inputs=kwargs["inputs"]
113+
outputs=kwargs["outputs"]
114+
ifkwargs.get("domain","")!="":
115+
domain=kwargs["domain"]
116+
op_type=f"{domain}.{op_type}"
117+
atts=kwargs.get("atts", {})
118+
args= []
119+
fork,vinatts.items():
120+
before,vatt=self.render_attribute_value(v)
121+
ifbefore:
122+
raiseNotImplementedError("Graph attribute not supported yet.")
123+
args.append(f"{k}={vatt}")
124+
125+
outs=", ".join(outputs)
126+
inps=", ".join(inputs)
127+
ifargs:
128+
sargs=", ".join(args)
129+
row=f"{outs} = op.{op_type}({inps},{sargs})"
130+
else:
131+
row=f"{outs} = op.{op_type}({inps})"
132+
return [row]

‎onnx_array_api/translate_api/translate.py

Lines changed: 20 additions & 9 deletions
Original file line numberDiff line numberDiff line change
@@ -76,18 +76,12 @@ def export(self, as_str, single_line: bool = False) -> Union[str, List[str]]:
7676
)
7777
)
7878
else:
79-
rows.extend(self.emitter(EventType.BEGIN_GRAPH))
80-
81-
foriininitializers:
8279
rows.extend(
83-
self.emitter(
84-
EventType.INITIALIZER,
85-
name=i.name,
86-
init=i,
87-
value=to_array_extended(i),
88-
)
80+
self.emitter(EventType.BEGIN_GRAPH,name=self.proto_.graph.name)
8981
)
9082

83+
rows.extend(self.emitter(EventType.BEGIN_SIGNATURE))
84+
9185
foriininputs:
9286
ifis_function:
9387
rows.extend(self.emitter(EventType.FUNCTION_INPUT,name=i))
@@ -109,6 +103,18 @@ def export(self, as_str, single_line: bool = False) -> Union[str, List[str]]:
109103
self.emitter(EventType.FUNCTION_ATTRIBUTES,attributes=list(attributes))
110104
)
111105

106+
rows.extend(self.emitter(EventType.END_SIGNATURE))
107+
108+
foriininitializers:
109+
rows.extend(
110+
self.emitter(
111+
EventType.INITIALIZER,
112+
name=i.name,
113+
init=i,
114+
value=to_array_extended(i),
115+
)
116+
)
117+
112118
fornodeinnodes:
113119
atts=self.extract_attributes(node)
114120
rows.extend(
@@ -122,6 +128,8 @@ def export(self, as_str, single_line: bool = False) -> Union[str, List[str]]:
122128
)
123129
)
124130

131+
rows.extend(self.emitter(EventType.BEGIN_RETURN))
132+
125133
foroinoutputs:
126134
ifis_function:
127135
rows.extend(self.emitter(EventType.FUNCTION_OUTPUT,name=o))
@@ -137,6 +145,9 @@ def export(self, as_str, single_line: bool = False) -> Union[str, List[str]]:
137145
),
138146
)
139147
)
148+
149+
rows.extend(self.emitter(EventType.END_RETURN))
150+
140151
ifisinstance(self.proto_, (GraphProto,FunctionProto)):
141152
name=self.proto_.name
142153
else:

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