def setUp(self) -> None:
self._tf_reader = graphdef.Reader(fold_constants=True)
self._tf_writer = graphdef.Writer()
self._tf_optimizer = tf_opt.Optimizer()
self._nnef_optimizer = nnef_opt.Optimizer()
self._tf_to_nnef_converter = tf_to_nnef.Converter(io_transpose=self._io_transpose)
self._nnef_to_tf_converter = nnef_to_tf.Converter(io_transpose=self._io_transpose)
self._nnef_reader = nnef_io.Reader(custom_shapes=self._nnef_to_tf_converter.defined_shapes(),
decomposed=self._nnef_to_tf_converter.decomposed_operations())
self._nnef_writer = nnef_io.Writer(fragments=self._tf_to_nnef_converter.defined_operations())
def setUp(self) -> None:
self._onnx_reader = onnx_io.Reader(simplify=True)
self._onnx_writer = onnx_io.Writer()
self._onnx_to_nnef_converter = onnx_to_nnef.Converter()
self._nnef_to_onnx_converter = nnef_to_onnx.Converter()
self._nnef_reader = nnef_io.Reader(
custom_shapes=self._nnef_to_onnx_converter.custom_shapes(),
decomposed=self._nnef_to_onnx_converter.decomposed_operations())
self._nnef_writer = nnef_io.Writer(
fragments=self._onnx_to_nnef_converter.defined_operations())
self._nnef_optimizer = nnef_opt.Optimizer()
self._onnx_optimizer = onnx_opt.Optimizer()
def setUp(self) -> None:
self._tflite_reader = lite_io.Reader()
self._tflite_writer = lite_io.Writer()
self._tflite_to_nnef_converter = tflite_to_nnef.Converter(
io_transpose=self._io_transpose,
mirror_unsupported=self._mirror_unsupported)
self._nnef_to_tflite_converter = nnef_to_tflite.Converter(
io_transpose=self._io_transpose,
mirror_unsupported=self._mirror_unsupported)
self._nnef_reader = nnef_io.Reader(
custom_shapes=self._nnef_to_tflite_converter.custom_shapes(),
decomposed=self._nnef_to_tflite_converter.decomposed_operations())
self._nnef_writer = nnef_io.Writer(
fragments=self._tflite_to_nnef_converter.defined_operations())
self._nnef_optimizer = nnef_opt.Optimizer()
self._tflite_optimizer = tflite_opt.Optimizer()