Merge pull request #834 from mlcommons/random_utils

Fixes to random_utils.py

Author: priyakasimbeg

algorithmic_efficiency/random_utils.py

@@ -16,32 +16,32 @@
 
 FLAGS = flags.FLAGS
 
-# Annoyingly, RandomState(seed) requires seed to be in [0, 2 ** 32 - 1] (an
+# Annoyingly, RandomState(seed) requires seed to be in [0, 2 ** 31 - 1] (an
 # unsigned int), while RandomState.randint only accepts and returns signed ints.
-MAX_UINT32 = 2**32 - 1
-MIN_UINT32 = 0
+MAX_INT32 = 2**31 - 1
+MIN_INT32 = 0
 
 SeedType = Union[int, list, np.ndarray]
 
 
 def _signed_to_unsigned(seed: SeedType) -> SeedType:
   if isinstance(seed, int):
-    return seed % MAX_UINT32
+    return seed % MAX_INT32
   if isinstance(seed, list):
-    return [s % MAX_UINT32 for s in seed]
+    return [s % MAX_INT32 for s in seed]
   if isinstance(seed, np.ndarray):
-    return np.array([s % MAX_UINT32 for s in seed.tolist()])
+    return np.array([s % MAX_INT32 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_UINT32, MAX_UINT32, dtype=np.uint32)
+  new_seed = rng.randint(MIN_INT32, MAX_INT32, dtype=np.int32)
   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_UINT32, MAX_UINT32, dtype=np.uint32, size=[num, 2])
+  return rng.randint(MIN_INT32, MAX_INT32, dtype=np.int32, size=[num, 2])
 
 
 def _PRNGKey(seed: SeedType) -> SeedType:  # pylint: disable=invalid-name