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
|
# Copyright (C) 2020 Arm Limited or its affiliates. All rights reserved.
#
# SPDX-License-Identifier: Apache-2.0
#
# Licensed under the Apache License, Version 2.0 (the License); you may
# not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an AS IS BASIS, WITHOUT
# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# Description:
# Defines custom exceptions.
import sys
from .operation import Operation
from .tensor import Tensor
class VelaError(Exception):
"""Base class for vela exceptions"""
def __init__(self, data):
self.data = data
def __str__(self):
return repr(self.data)
class InputFileError(VelaError):
"""Raised when reading the input file results in errors"""
def __init__(self, file_name, msg):
self.data = "Error reading input file {}: {}".format(file_name, msg)
class UnsupportedFeatureError(VelaError):
"""Raised when the input file uses non-supported features that cannot be handled"""
def __init__(self, data):
self.data = "The input file uses a feature that is currently not supported: {}".format(data)
class OptionError(VelaError):
"""Raised when an incorrect command line option is used"""
def __init__(self, option, option_value, msg):
self.data = "Incorrect argument to CLI option: {} {}: {}".format(option, option_value, msg)
class AllocationError(VelaError):
"""Raised when allocation fails"""
def __init__(self, msg):
self.data = msg
def OperatorError(op, msg):
"""Called when parsing an operator results in errors"""
assert isinstance(op, Operation)
if op.op_index is None:
data = "Invalid {} (name = {}) operator in the internal representation.".format(op.type, op.name)
else:
data = "Invalid {} (op_index = {}) operator in the input network.".format(op.type, op.op_index)
data += " {}\n".format(msg)
data += " Input tensors:\n"
for idx, tens in enumerate(op.inputs):
if isinstance(tens, Tensor):
tens_name = tens.name
else:
tens_name = "Not a Tensor"
data += " {} = {}\n".format(idx, tens_name)
data += " Output tensors:\n"
for idx, tens in enumerate(op.outputs):
if isinstance(tens, Tensor):
tens_name = tens.name
else:
tens_name = "Not a Tensor"
data += " {} = {}\n".format(idx, tens_name)
data = data[:-1] # remove last newline
print("Error: {}".format(data))
sys.exit(1)
def TensorError(tens, msg):
"""Called when parsing a tensor results in errors"""
assert isinstance(tens, Tensor)
data = "Invalid {} tensor. {}\n".format(tens.name, msg)
data += " Driving operators:\n"
for idx, op in enumerate(tens.ops):
if isinstance(op, Operation):
op_type = op.type
op_id = op.op_index
else:
op_type = "Not an Operation"
op_id = ""
data += " {} = {} ({})\n".format(idx, op_type, op_id)
data += " Consuming operators:\n"
for idx, op in enumerate(tens.consumer_list):
if isinstance(op, Operation):
op_type = op.type
op_id = op.op_index
else:
op_type = "Not an Operation"
op_id = ""
data += " {} = {} ({})\n".format(idx, op_type, op_id)
data = data[:-1] # remove last newline
print("Error: {}".format(data))
sys.exit(1)
|
