Remove **kwargs & deprecated indices argument of Round transform

Summary: Deprecated since #1516

Reviewed By: Balandat

Differential Revision: D56799439

fbshipit-source-id: cfe43e55b45bbf77d6da33d8aa10b8fde91d2e44

botorch/models/transforms/input.py

@@ -781,7 +781,6 @@ def __init__(
         transform_on_fantasize: bool = True,
         approximate: bool = False,
         tau: float = 1e-3,
-        **kwargs,
     ) -> None:
         r"""Initialize transform.
 
@@ -800,13 +799,6 @@ def __init__(
                 rounding should be used. Default: False.
             tau: The temperature parameter for approximate rounding.
         """
-        indices = kwargs.get("indices")
-        if indices is not None:
-            warn(
-                "`indices` is marked for deprecation in favor of `integer_indices`.",
-                DeprecationWarning,
-            )
-            integer_indices = indices
         if approximate and categorical_features is not None:
             raise NotImplementedError
         super().__init__()

test/models/transforms/test_input.py

@@ -5,12 +5,10 @@
 # LICENSE file in the root directory of this source tree.
 
 import itertools
-import warnings
 from copy import deepcopy
 from random import randint
 
 import torch
-from botorch import settings
 from botorch.exceptions.errors import BotorchTensorDimensionError
 from botorch.exceptions.warnings import UserInputWarning
 from botorch.models.transforms.input import (
@@ -620,10 +618,6 @@ def test_round_transform_init(self) -> None:
         # basic init
         int_idcs = [0, 4]
         categorical_feats = {2: 2, 5: 3}
-        # test deprecation warning
-        with warnings.catch_warnings(record=True) as ws, settings.debug(True):
-            Round(indices=int_idcs)
-            self.assertTrue(any(issubclass(w.category, DeprecationWarning) for w in ws))
         round_tf = Round(
             integer_indices=int_idcs, categorical_features=categorical_feats
         )