Change jax DeviceArray to ndarray (#591)

* Change DeviceArray to jnp.ndarray

* Pump minimum jax version

funsor/interpretations.py

@@ -53,16 +53,6 @@ def interpret(self, cls, *args):
     @staticmethod
     def make_hash_key(cls, *args):
         backend = get_backend()
-        if backend == "jax":
-            # JAX DeviceArray has .__hash__ method but raise the unhashable error there.
-            from jax.interpreters.xla import DeviceArray
-
-            return tuple(
-                id(arg)
-                if isinstance(arg, DeviceArray) or not isinstance(arg, Hashable)
-                else arg
-                for arg in args
-            )
         if backend == "torch":
             # Avoid "ImportError: sys.meta_path is None" on shutdown.
             from torch import Tensor

funsor/jax/ops.py

@@ -9,7 +9,6 @@
 import numpy as onp
 from jax import lax
 from jax.core import Tracer
-from jax.interpreters.xla import DeviceArray
 from jax.scipy.linalg import cho_solve, solve_triangular
 from jax.scipy.special import expit, gammaln, logsumexp
 
@@ -19,7 +18,7 @@
 # Register Ops
 ################################################################################
 
-array = (onp.generic, onp.ndarray, DeviceArray, Tracer)
+array = (onp.generic, onp.ndarray, np.ndarray, Tracer)
 ops.atanh.register(array)(np.arctanh)
 ops.clamp.register(array)(np.clip)
 ops.exp.register(array)(np.exp)

setup.py

@@ -39,7 +39,7 @@
     ],
     extras_require={
         "torch": ["pyro-ppl>=1.8.0", "torch>=1.11.0"],
-        "jax": ["numpyro>=0.7.0", "jax>=0.2.13", "jaxlib>=0.1.65"],
+        "jax": ["numpyro>=0.7.0", "jax>=0.2.21", "jaxlib>=0.1.71"],
         "test": [
             "black",
             "flake8",