|---| | [ View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v2.21.0/tensorflow/python/framework/tensor_conversion_registry.py#L80-L131) | Registers a function for converting objects of `base_type` to `Tensor`. #### View aliases **Compat aliases for migration** See [Migration guide](https://www.tensorflow.org/guide/migrate) for more details. [`tf.compat.v1.register_tensor_conversion_function`](https://www.tensorflow.org/api_docs/python/tf/register_tensor_conversion_function)
tf.register_tensor_conversion_function( base_type, conversion_func, priority=100 ) The conversion function must have the following signature: def conversion_func(value, dtype=None, name=None, as_ref=False): # ... It must return a `Tensor` with the given `dtype` if specified. If the conversion function creates a new `Tensor`, it should use the given `name` if specified. All exceptions will be propagated to the caller. The conversion function may return `NotImplemented` for some inputs. In this case, the conversion process will continue to try subsequent conversion functions. If `as_ref` is true, the function must return a `Tensor` reference, such as a `Variable`. > [!NOTE] > **Note:** The conversion functions will execute in order of priority, followed by order of registration. To ensure that a conversion function `F` runs before another conversion function `G`, ensure that `F` is registered with a smaller priority than `G`.


| ## Args || |---|---| | `base_type` | The base type or tuple of base types for all objects that `conversion_func` accepts. | | `conversion_func` | A function that converts instances of `base_type` to `Tensor`. | | `priority` | Optional integer that indicates the priority for applying this conversion function. Conversion functions with smaller priority values run earlier than conversion functions with larger priority values. Defaults to 100. |



| ## Raises || |---|---| | `TypeError` | If the arguments do not have the appropriate type. |