3j'RSrSSKJr SSKrSSKJr S\4SjrS\4SjrS\4Sjrg) z2Module for transpiling Kornia to other frameworks.) ModuleTypeN)ivyreturnc6[R"[SSS9$)aConvert Kornia to JAX. Transpiles the Kornia library to JAX using [ivy](https://github.com/ivy-llc/ivy). The transpilation process occurs lazily, so the transpilation on a given kornia function/class will only occur when it's called or instantiated for the first time. This will make any functions/classes slow when being used for the first time, but any subsequent uses should be as fast as expected. Return: The Kornia library transpiled to JAX Example: .. highlight:: python .. code-block:: python import kornia jax_kornia = kornia.to_jax() import jax input = jax.random.normal(jax.random.key(42), shape=(2, 3, 4, 5)) gray = jax_kornia.color.gray.rgb_to_grayscale(input) torchjaxsourcetargetr transpilekorniaV/home/wildlama/miniconda3/lib/python3.13/site-packages/kornia/transpiler/transpiler.pyto_jaxrs. == rc6[R"[SSS9$)a Convert Kornia to NumPy. Transpiles the Kornia library to NumPy using [ivy](https://github.com/ivy-llc/ivy). The transpilation process occurs lazily, so the transpilation on a given kornia function/class will only occur when it's called or instantiated for the first time. This will make any functions/classes slow when being used for the first time, but any subsequent uses should be as fast as expected. Return: The Kornia library transpiled to NumPy Example: .. highlight:: python .. code-block:: python import kornia np_kornia = kornia.to_numpy() import numpy as np input = np.random.normal(size=(2, 3, 4, 5)) gray = np_kornia.color.gray.rgb_to_grayscale(input) Note: Ivy does not currently support transpiling trainable modules to NumPy. rnumpyr r rrrto_numpyr8s4 == rc6[R"[SSS9$)aConvert Kornia to TensorFlow. Transpiles the Kornia library to TensorFlow using [ivy](https://github.com/ivy-llc/ivy). The transpilation process occurs lazily, so the transpilation on a given kornia function/class will only occur when it's called or instantiated for the first time. This will make any functions/classes slow when being used for the first time, but any subsequent uses should be as fast as expected. Return: The Kornia library transpiled to TensorFlow Example: .. highlight:: python .. code-block:: python import kornia tf_kornia = kornia.to_tensorflow() import tensorflow as tf input = tf.random.normal((2, 3, 4, 5)) gray = tf_kornia.color.gray.rgb_to_grayscale(input) r tensorflowr r rrr to_tensorflowrYs. == r) __doc__typesrrkornia.core.externalrrrrrrrrs8$9 $ <*Bzr