Implement as_jax_op

.github/workflows/test.yml

@@ -208,7 +208,7 @@ jobs:
             micromamba install --yes -q "python~=${PYTHON_VERSION}" mkl "numpy${NUMPY_VERSION}" scipy pip mkl-service graphviz cython pytest coverage pytest-cov pytest-benchmark pytest-mock pytest-sphinx;
           fi
           if [[ $INSTALL_NUMBA == "1" ]]; then micromamba install --yes -q -c conda-forge "python~=${PYTHON_VERSION}" "numba>=0.57"; fi
-          if [[ $INSTALL_JAX == "1" ]]; then micromamba install --yes -q -c conda-forge "python~=${PYTHON_VERSION}" jax jaxlib numpyro && pip install tfp-nightly; fi
+          if [[ $INSTALL_JAX == "1" ]]; then micromamba install --yes -q -c conda-forge "python~=${PYTHON_VERSION}" jax jaxlib numpyro equinox && pip install tfp-nightly; fi
           if [[ $INSTALL_TORCH == "1" ]]; then micromamba install --yes -q -c conda-forge "python~=${PYTHON_VERSION}" pytorch pytorch-cuda=12.1 "mkl<=2024.0" -c pytorch -c nvidia; fi
           if [[ $INSTALL_XARRAY == "1" ]]; then micromamba install --yes -q -c conda-forge "python~=${PYTHON_VERSION}" xarray xarray-einstats; fi
 

doc/conf.py

@@ -38,6 +38,7 @@
     "jax": ("https://jax.readthedocs.io/en/latest", None),
     "numpy": ("https://numpy.org/doc/stable", None),
     "torch": ("https://pytorch.org/docs/stable", None),
+    "equinox": ("https://docs.kidger.site/equinox/", None),
 }
 
 needs_sphinx = "3"

doc/environment.yml

@@ -25,4 +25,4 @@ dependencies:
   - ablog
   - pip
   - pip:
-    - -e ..
+    - -e ..[jax]

doc/library/index.rst

@@ -61,6 +61,13 @@ Convert to Variable
 
 .. autofunction:: pytensor.as_symbolic(...)
 
+Wrap JAX functions
+==================
+
+.. autofunction:: as_jax_op(...)
+
+   Alias for :func:`pytensor.link.jax.ops.as_jax_op`
+
 Debug
 =====
 

pytensor/__init__.py

@@ -166,7 +166,7 @@ def get_underlying_scalar_constant(v):
 from pytensor.scan.basic import scan
 from pytensor.scan.views import foldl, foldr, map, reduce
 from pytensor.compile.builders import OpFromGraph
-
+from pytensor.link.jax.ops import as_jax_op
 # isort: on
 
 

pytensor/link/jax/dispatch/basic.py

@@ -13,6 +13,7 @@
 from pytensor.graph import Constant
 from pytensor.graph.fg import FunctionGraph
 from pytensor.ifelse import IfElse
+from pytensor.link.jax.ops import JAXOp
 from pytensor.link.utils import fgraph_to_python
 from pytensor.raise_op import CheckAndRaise
 
@@ -142,3 +143,8 @@ def opfromgraph(*inputs):
             return fgraph_fn(*inputs)
 
     return opfromgraph
+
+
+@jax_funcify.register(JAXOp)
+def jax_op_funcify(op, **kwargs):
+    return op.perform_jax