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# 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.
from .operation import Operation
from .tensor import Tensor
class VelaError(Exception):
"""Base class for vela exceptions"""
def __init__(self, data):
self.data = "Error: " + data
def __str__(self):
return repr(self.data)
class InputFileError(VelaError):
"""Raised when reading an input file results in errors"""
def __init__(self, file_name, msg):
self.data = "Reading input file {}: {}".format(file_name, msg)
class UnsupportedFeatureError(VelaError):
"""Raised when the input network uses non-supported features that cannot be handled"""
def __init__(self, data):
self.data = "Input network uses a feature that is currently not supported: {}".format(data)
class CliOptionError(VelaError):
"""Raised for errors encountered with a command line option
:param option: str object that contains the name of the command line option
:param option_value: the command line option that resulted in the error
:param msg: str object that contains a description of the specific error encountered
"""
def __init__(self, option, option_value, msg):
self.data = "Incorrect argument to CLI option: {} = {}: {}".format(option, option_value, msg)
class ConfigOptionError(VelaError):
"""Raised for errors encountered with a configuration option
:param option: str object that contains the name of the configuration option
:param option_value: the configuration option that resulted in the error
:param option_valid_values (optional): str object that contains the valid configuration option values
"""
def __init__(self, option, option_value, option_valid_values=None):
self.data = "Invalid configuration of {} = {}".format(option, option_value)
if option_valid_values is not None:
self.data += " (must be {}).".format(option_valid_values)
else:
self.data += "."
class AllocationError(VelaError):
"""Raised when allocation fails"""
def __init__(self, msg):
self.data = msg
def OperatorError(op, msg):
"""
Raises a VelaError exception for errors encountered when parsing an Operation
:param op: Operation object that resulted in the error
:param msg: str object that contains a description of the specific error encountered
"""
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
raise VelaError(data)
def TensorError(tens, msg):
"""
Raises a VelaError exception for errors encountered when parsing a Tensor
:param tens: Tensor object that resulted in the error
:param msg: str object that contains a description of the specific error encountered
"""
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
raise VelaError(data)
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