[WIP] Upgrade JAX support from 0.4.24 to 0.4.30

RELEASES.md

@@ -23,6 +23,7 @@
 - Fix line-search in partial GW and change default init to the interior of partial transport plans (PR #602)
 - Fix `ot.da.sinkhorn_lpl1_mm` compatibility with JAX (PR #592)
 - Fiw linesearch import error on Scipy 1.14 (PR #642, Issue #641)
+- Upgrade supported JAX versions from jax<=0.4.24 to jax<=0.4.30 (PR #643)
 
 ## 0.9.3
 *January 2024*

ot/backend.py

@@ -120,6 +120,7 @@
         import jax.scipy.special as jspecial
         from jax.lib import xla_bridge
         jax_type = jax.numpy.ndarray
+        jax_new_version = float('.'.join(jax.__version__.split('.')[1:])) > 4.24
     except ImportError:
         jax = False
         jax_type = float
@@ -1439,11 +1440,19 @@ def __init__(self):
                 jax.device_put(jnp.array(1, dtype=jnp.float64), d)
             ]
 
+        self.jax_new_version = jax_new_version
+
     def _to_numpy(self, a):
         return np.array(a)
 
+    def _get_device(self, a):
+        if self.jax_new_version:
+            return list(a.devices())[0]
+        else:
+            return a.device_buffer.device()
+
     def _change_device(self, a, type_as):
-        return jax.device_put(a, type_as.device_buffer.device())
+        return jax.device_put(a, self._get_device(type_as))
 
     def _from_numpy(self, a, type_as=None):
         if isinstance(a, float):
@@ -1688,7 +1697,10 @@ def allclose(self, a, b, rtol=1e-05, atol=1e-08, equal_nan=False):
         return jnp.allclose(a, b, rtol=rtol, atol=atol, equal_nan=equal_nan)
 
     def dtype_device(self, a):
-        return a.dtype, a.device_buffer.device()
+        if self.jax_new_version:
+            return a.dtype, list(a.devices())[0]
+        else:
+            return a.dtype, a.device_buffer.device()
 
     def assert_same_dtype_device(self, a, b):
         a_dtype, a_device = self.dtype_device(a)

requirements_all.txt

@@ -6,8 +6,8 @@ pymanopt @ git+https://github.com/pymanopt/pymanopt.git@master
 cvxopt
 scikit-learn
 torch
-jax<=0.4.24
-jaxlib<=0.4.24
+jax
+jaxlib
 tensorflow
 pytest
 torch_geometric