Hugging Face's logo

byyange
/
QwenTest

Model card Files
xet
Community
QwenTest
File size: 2,344 Bytes
6a22ec9
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
 
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT License.

__all__ = [
    "script",
    "graph",
    "ir",
    "optimizer",
    "rewriter",
    "version_converter",
    "export_onnx_lib",
    "OnnxFunction",
    "TracedOnnxFunction",
    "proto2python",
    "external_tensor",
    "BFLOAT16",
    "FLOAT16",
    "FLOAT8E4M3FN",
    "FLOAT8E4M3FNUZ",
    "FLOAT8E5M2",
    "FLOAT8E5M2FNUZ",
    "FLOAT",
    "DOUBLE",
    "INT8",
    "INT16",
    "INT32",
    "INT64",
    "UINT8",
    "UINT16",
    "UINT32",
    "UINT64",
    "BOOL",
    "STRING",
    "COMPLEX64",
    "COMPLEX128",
    "opset1",
    "opset2",
    "opset3",
    "opset4",
    "opset5",
    "opset6",
    "opset7",
    "opset8",
    "opset9",
    "opset10",
    "opset11",
    "opset12",
    "opset13",
    "opset14",
    "opset15",
    "opset16",
    "opset17",
    "opset18",
    "opset19",
    "opset20",
    "opset21",
    "opset22",
    "opset_ai_onnx_ml1",
    "opset_ai_onnx_ml2",
    "opset_ai_onnx_ml3",
    "opset_ai_onnx_ml4",
    "opset_ai_onnx_ml5",
    "DEBUG",
]

import importlib.metadata

from .backend.onnx_export import export2python as proto2python
from .main import export_onnx_lib, graph, script

# isort: off
from .onnx_opset import (
    opset1,
    opset2,
    opset3,
    opset4,
    opset5,
    opset6,
    opset7,
    opset8,
    opset9,
    opset10,
    opset11,
    opset12,
    opset13,
    opset14,
    opset15,
    opset16,
    opset17,
    opset18,
    opset19,
    opset20,
    opset21,
    opset22,
    opset_ai_onnx_ml1,
    opset_ai_onnx_ml2,
    opset_ai_onnx_ml3,
    opset_ai_onnx_ml4,
    opset_ai_onnx_ml5,
)

from .onnx_types import (
    BFLOAT16,
    FLOAT16,
    FLOAT8E4M3FN,
    FLOAT8E4M3FNUZ,
    FLOAT8E5M2,
    FLOAT8E5M2FNUZ,
    FLOAT,
    DOUBLE,
    INT8,
    INT16,
    INT32,
    INT64,
    UINT8,
    UINT16,
    UINT32,
    UINT64,
    BOOL,
    STRING,
    COMPLEX64,
    COMPLEX128,
)

# isort: on

from . import ir, optimizer, rewriter, version_converter
from ._internal.utils import external_tensor
from .values import OnnxFunction, TracedOnnxFunction

# Set DEBUG to True to enable additional debug checks
DEBUG: bool = False

try:  # noqa: SIM105
    __version__ = importlib.metadata.version("onnxscript")
except importlib.metadata.PackageNotFoundError:
    # package is not installed
    pass