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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:
# Dispatcher for reading a neural network model.
from . import tflite_reader
from . import tosa_reader
from .errors import InputFileError
from .nn_graph import NetworkType
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=None, output_node_names=None, initialisation_nodes=None):
if fname.endswith(".tflite"):
if feed_dict is None:
feed_dict = {}
if output_node_names is None:
output_node_names = []
if initialisation_nodes is None:
initialisation_nodes = []
return (
tflite_reader.read_tflite(
fname,
options.batch_size,
feed_dict=feed_dict,
output_node_names=output_node_names,
initialisation_nodes=initialisation_nodes,
),
NetworkType.TFLite,
)
elif fname.endswith(".tosa"):
if feed_dict is None:
feed_dict = {}
if output_node_names is None:
output_node_names = []
if initialisation_nodes is None:
initialisation_nodes = []
return (
tosa_reader.read_tosa(
fname,
options.batch_size,
feed_dict=feed_dict,
output_node_names=output_node_names,
initialisation_nodes=initialisation_nodes,
),
NetworkType.TOSA,
)
else:
raise InputFileError(fname, "Unsupported file extension. Only .tflite and .tosa files are supported")
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