mirror of
https://github.com/vee1e/tflite-micro.git
synced 2026-09-02 10:17:54 +00:00
901d8306e5
This PR creates the initial code generator scaffolding for performing inference without an interpreter. Currently, this does nothing other create a header and source file from Mako templates. Mako was chosen as a template engine due to existing dependency. BUG=b/295076487
58 lines
2 KiB
Python
58 lines
2 KiB
Python
# 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.
|
|
# ==============================================================================
|
|
""" Generates C/C++ source code capable of performing inference for a model. """
|
|
|
|
import os
|
|
|
|
from absl import app
|
|
from absl import flags
|
|
from collections.abc import Sequence
|
|
|
|
from tflite_micro.codegen import inference_generator
|
|
|
|
# Usage information:
|
|
# Default:
|
|
# `bazel run codegen:code_generator -- --model=</path/to/my_model.tflite>`
|
|
# Output will be located at: /path/to/my_model.h|cc
|
|
|
|
_MODEL_PATH = flags.DEFINE_string(name="model",
|
|
default=None,
|
|
help="Path to the TFLite model file.",
|
|
required=True)
|
|
|
|
_OUTPUT_DIR = flags.DEFINE_string(
|
|
name="output_dir",
|
|
default=None,
|
|
help="Path to write generated source to. Leave blank to use 'model' path.",
|
|
required=False)
|
|
|
|
_OUTPUT_NAME = flags.DEFINE_string(
|
|
name="output_name",
|
|
default=None,
|
|
help=("The output basename for the generated .h/.cc. Leave blank to use "
|
|
"'model' basename."),
|
|
required=False)
|
|
|
|
|
|
def main(argv: Sequence[str]) -> None:
|
|
output_dir = _OUTPUT_DIR.value or os.path.dirname(_MODEL_PATH.value)
|
|
output_name = _OUTPUT_NAME.value or os.path.splitext(
|
|
os.path.basename(_MODEL_PATH.value))[0]
|
|
|
|
inference_generator.generate(output_dir, output_name)
|
|
|
|
|
|
if __name__ == "__main__":
|
|
app.run(main)
|