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# Copyright (C) 2021 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:
# Utlity function for reading .tosa and .tflite files
from .operation import Op
from .operation import Operation
def decode_str(s):
if s is None:
return ""
return s.decode("utf-8")
def clone_and_reshape_tensor(src_tens, reorder, set_unique):
tens = src_tens.clone("_reshape", set_unique)
tens.shape = [src_tens.shape[idx] for idx in reorder]
tens.bandwidth_shape = tens.shape
tens.storage_shape = tens.shape
if tens.values is not None:
tens.values = tens.values.transpose(reorder)
if tens.quant_values is not None:
tens.quant_values = tens.quant_values.transpose(reorder)
op = Operation(Op.Const, tens.name)
op.set_output_tensor(tens)
return tens
# Fix up tensors without operations. Generate either Placeholder or Constant ops
def fixup_tensors(input_tensors, tensors):
for tens in input_tensors:
if len(tens.ops) and tens.ops[0].type == Op.Const:
break
if tens.ops != []:
tens.error("This subgraph input tensor has unexpected driving operators.")
op = Operation(Op.Placeholder, tens.name)
op.set_output_tensor(tens)
for tens in tensors:
if not tens.ops:
op = Operation(Op.Const, tens.name)
op.set_output_tensor(tens)
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