test_evals_test.py

algorithmic_efficiency/random_utils.py

@@ -18,30 +18,30 @@
 
 # Annoyingly, RandomState(seed) requires seed to be in [0, 2 ** 32 - 1] (an
 # unsigned int), while RandomState.randint only accepts and returns signed ints.
-MAX_INT32 = 2**31
-MIN_INT32 = -MAX_INT32
+MAX_UINT32 = 2**32-1
+MIN_UINT32 = 0
 
 SeedType = Union[int, list, np.ndarray]
 
 
 def _signed_to_unsigned(seed: SeedType) -> SeedType:
   if isinstance(seed, int):
-    return seed % 2**32
+    return seed % MAX_UINT32
   if isinstance(seed, list):
-    return [s % 2**32 for s in seed]
+    return [s % MAX_UINT32 for s in seed]
   if isinstance(seed, np.ndarray):
-    return np.array([s % 2**32 for s in seed.tolist()])
+    return np.array([s % MAX_UINT32 for s in seed.tolist()])
 
 
 def _fold_in(seed: SeedType, data: Any) -> List[Union[SeedType, Any]]:
   rng = np.random.RandomState(seed=_signed_to_unsigned(seed))
-  new_seed = rng.randint(MIN_INT32, MAX_INT32, dtype=np.int32)
+  new_seed = rng.randint(MIN_UINT32, MAX_UINT32, dtype=np.uint32)
   return [new_seed, data]
 
 
 def _split(seed: SeedType, num: int = 2) -> SeedType:
   rng = np.random.RandomState(seed=_signed_to_unsigned(seed))
-  return rng.randint(MIN_INT32, MAX_INT32, dtype=np.int32, size=[num, 2])
+  return rng.randint(MIN_UINT32, MAX_UINT32, dtype=np.uint32, size=[num, 2])
 
 
 def _PRNGKey(seed: SeedType) -> SeedType:  # pylint: disable=invalid-name
@@ -75,5 +75,5 @@ def split(seed: SeedType, num: int = 2) -> SeedType:
 def PRNGKey(seed: SeedType) -> SeedType:  # pylint: disable=invalid-name
   if FLAGS.framework == 'jax':
     _check_jax_install()
-    return jax_rng.PRNGKey(seed)
+    return jax_rng.key(seed)
   return _PRNGKey(seed)