diff options
Diffstat (limited to 'ethosu/vela/reader_util.py')
-rw-r--r-- | ethosu/vela/reader_util.py | 60 |
1 files changed, 60 insertions, 0 deletions
diff --git a/ethosu/vela/reader_util.py b/ethosu/vela/reader_util.py new file mode 100644 index 00000000..5b454b57 --- /dev/null +++ b/ethosu/vela/reader_util.py @@ -0,0 +1,60 @@ +# 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) |