blob: 6deb2538b8d41539faa4e637cbf360208a9db210 [file] [log] [blame]
# 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:
# Dispatcher for reading a neural network model.
from . import tflite_reader
from .errors import InputFileError
from .errors import VelaError
class ModelReaderOptions:
def __init__(self, batch_size=1):
self.batch_size = batch_size
def __str__(self):
return type(self).__name__ + ": " + str(self.__dict__)
__repr__ = __str__
def read_model(fname, options, feed_dict={}, output_node_names=[], initialisation_nodes=[]):
if fname.endswith(".tflite"):
try:
return tflite_reader.read_tflite(
fname,
options.batch_size,
feed_dict=feed_dict,
output_node_names=output_node_names,
initialisation_nodes=initialisation_nodes,
)
except VelaError as e:
raise e
except Exception as e:
raise InputFileError(fname, str(e))
else:
raise InputFileError(fname, "Unknown input file format. Only .tflite files are supported")