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Showing content from https://docs.jax.dev/en/latest/_autosummary/jax.experimental.io_callback.html below:

jax.experimental.io_callback — JAX documentation

jax.experimental.io_callback#
jax.experimental.io_callback(callback, result_shape_dtypes, *args, sharding=None, ordered=False, **kwargs)[source]#

Calls an impure Python callback.

For more explanation, see External Callbacks.

Parameters:
  • callback (Callable[..., Any]) – function to execute on the host. It is assumed to be an impure function. If callback is pure, using jax.pure_callback() instead may lead to more efficient execution.

  • result_shape_dtypes (Any) – pytree whose leaves have shape and dtype attributes, whose structure matches the expected output of the callback function at runtime. jax.ShapeDtypeStruct is often used to define leaf values.

  • *args (Any) – arguments to be passed to the callback function

  • sharding (SingleDeviceSharding | None | None) – optional sharding that specifies the device from which the callback should be invoked.

  • ordered (bool) – boolean specifying whether sequential calls to callback must be ordered.

  • **kwargs (Any) – keyword arguments to be passed to the callback function

Returns:
a pytree of jax.Array objects whose structure matches that of

result_shape_dtypes.

Return type:

result


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