Remove _maybe_device_put because jax.device_put accepts None on the device parameter

PiperOrigin-RevId: 618223250

Author: yashk2810

jax/_src/numpy/lax_numpy.py

@@ -2287,9 +2287,6 @@ def empty_like(prototype: ArrayLike | DuckTypedArray,
   return zeros_like(prototype, dtype=dtype, shape=shape, device=device)
 
 
-def _maybe_device_put(arr: Array, device: xc.Device | Sharding | None) -> Array:
-  return arr if device is None else jax.device_put(arr, device)
-
 def _normalize_to_sharding(device: xc.Device | Sharding | None) -> Sharding | None:
   if isinstance(device, xc.Device):
     return SingleDeviceSharding(device)
@@ -2308,7 +2305,8 @@ def full(shape: Any, fill_value: ArrayLike,
     shape = canonicalize_shape(shape)
     return lax.full(shape, fill_value, dtype, sharding=_normalize_to_sharding(device))
   else:
-    return _maybe_device_put(broadcast_to(asarray(fill_value, dtype=dtype), shape), device)
+    return jax.device_put(
+        broadcast_to(asarray(fill_value, dtype=dtype), shape), device)
 
 
 @util.implements(np.full_like)
@@ -2328,7 +2326,8 @@ def full_like(a: ArrayLike | DuckTypedArray,
   else:
     shape = np.shape(a) if shape is None else shape  # type: ignore[arg-type]
     dtype = result_type(a) if dtype is None else dtype  # type: ignore[arg-type]
-    return _maybe_device_put(broadcast_to(asarray(fill_value, dtype=dtype), shape), device)
+    return jax.device_put(
+        broadcast_to(asarray(fill_value, dtype=dtype), shape), device)
 
 
 @util.implements(np.zeros)