tf.compat.v1.lite.toco_convert

Convert a model using TOCO. (deprecated)

tf.compat.v1.lite.toco_convert(
    input_data, input_tensors, output_tensors, *args, **kwargs
)

Typically this function is used to convert from TensorFlow GraphDef to TFLite. Conversion can be customized by providing arguments that are forwarded to build_toco_convert_protos (see documentation for details). This function has been deprecated. Please use tf.lite.TFLiteConverter instead.

Args
`input_data`	Input data (i.e. often `sess.graph_def`),
`input_tensors`	List of input tensors. Type and shape are computed using `foo.shape` and `foo.dtype`.
`output_tensors`	List of output tensors (only .name is used from this).
`*args`	See `build_toco_convert_protos`,
`**kwargs`	See `build_toco_convert_protos`.

Returns
The converted data. For example if TFLite was the destination, then this will be a tflite flatbuffer in a bytes array.

Raises
Defined in `build_toco_convert_protos`.

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Last updated 2021-08-16 UTC.

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tf.compat.v1.lite.toco_convert

Args

Returns

Raises