1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
|
# -------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
# -------------------------------------------------------------------------
import numpy as np
import onnx
import onnx.helper
from onnxscript import script
from onnxscript.onnx_opset import opset17 as op
from tests.common.onnx_script_test_case import FunctionTestParams as Test
@script()
def int_attr():
return op.Constant(value_int=17)
int_attr_test = Test(int_attr, input=[], output=[np.array(17, dtype=np.int64)])
@script()
def ints_attr():
return op.Constant(value_ints=[17, 19])
ints_attr_test = Test(ints_attr, input=[], output=[np.array([17, 19], dtype=np.int64)])
@script()
def float_attr():
return op.Constant(value_float=17.0)
float_attr_test = Test(float_attr, input=[], output=[np.array(17.0, dtype=np.float32)])
@script()
def floats_attr():
return op.Constant(value_floats=[17.0, 19.0])
floats_attr_test = Test(
floats_attr, input=[], output=[np.array([17.0, 19.0], dtype=np.float32)]
)
@script()
def string_attr():
return op.Constant(value_string="hello")
string_attr_test = Test(string_attr, input=[], output=[np.array("hello")])
@script()
def strings_attr():
return op.Constant(value_strings=["hello", "world"])
strings_attr_test = Test(strings_attr, input=[], output=[np.array(["hello", "world"])])
tensor1 = onnx.helper.make_tensor("t", onnx.TensorProto.FLOAT, [2], [17.0, 19.0])
@script()
def tensor_attr():
return op.Constant(value=tensor1)
tensor_attr_test = Test(
tensor_attr, input=[], output=[np.array([17.0, 19.0], dtype=np.float32)]
)
|
