Implement JAX dispatch for Argsort

pytensor/link/jax/dispatch/sort.py

@@ -1,7 +1,7 @@
 from jax import numpy as jnp
 
 from pytensor.link.jax.dispatch import jax_funcify
-from pytensor.tensor.sort import SortOp
+from pytensor.tensor.sort import ArgSortOp, SortOp
 
 
 @jax_funcify.register(SortOp)
@@ -12,3 +12,13 @@ def sort(arr, axis):
         return jnp.sort(arr, axis=axis, stable=stable)
 
     return sort
+
+
+@jax_funcify.register(ArgSortOp)
+def jax_funcify_ArgSort(op, **kwargs):
+    stable = op.kind == "stable"
+
+    def argsort(arr, axis):
+        return jnp.argsort(arr, axis=axis, stable=stable)
+
+    return argsort

tests/link/jax/test_sort.py

@@ -3,14 +3,15 @@
 
 from pytensor.graph import FunctionGraph
 from pytensor.tensor import matrix
-from pytensor.tensor.sort import sort
+from pytensor.tensor.sort import argsort, sort
 from tests.link.jax.test_basic import compare_jax_and_py
 
 
 @pytest.mark.parametrize("axis", [None, -1])
-def test_sort(axis):
+@pytest.mark.parametrize("func", (sort, argsort))
+def test_sort(func, axis):
     x = matrix("x", shape=(2, 2), dtype="float64")
-    out = sort(x, axis=axis)
+    out = func(x, axis=axis)
     fgraph = FunctionGraph([x], [out])
     arr = np.array([[1.0, 4.0], [5.0, 2.0]])
     compare_jax_and_py(fgraph, [arr])