| # Copyright 2023 The TensorFlow Authors. All Rights Reserved. | |
| # | |
| # 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 | |
| # | |
| # http://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. | |
| # ============================================================================== | |
| """ A factory function for creating operators """ | |
| from tflite_micro.codegen.operators import fully_connected | |
| from tflite_micro.codegen.operators import operator | |
| from tflite_micro.tensorflow.lite.python import schema_py_generated as schema_fb | |
| _BUILTIN_OPERATORS: dict[int, operator.Operator.__class__] = { | |
| schema_fb.BuiltinOperator.FULLY_CONNECTED: fully_connected.FullyConnected, | |
| } | |
| def create_operator(op_code: schema_fb.OperatorCodeT, op: schema_fb.Operator): | |
| operator_class = _BUILTIN_OPERATORS[op_code.builtinCode] | |
| return operator_class(op) |