Refactor adaptive pooling with shared utils and base classes

Author: MalyalaKarthik66

keras/src/backend/common/backend_utils.py

@@ -1,4 +1,5 @@
 import functools
+import math
 import operator
 import re
 import warnings
@@ -539,3 +540,10 @@ def slice_along_axis(x, start=0, stop=None, step=1, axis=0):
             -1 - axis
         )
     return x[tuple(slices)]
+
+
+def compute_adaptive_pooling_window_sizes(input_dim, output_dim):
+    """Compute small and big window sizes for adaptive pooling."""
+    small = math.ceil(input_dim / output_dim)
+    big = small + 1
+    return small, big

keras/src/backend/jax/__init__.py

@@ -25,8 +25,6 @@
 from keras.src.backend.jax.core import shape
 from keras.src.backend.jax.core import stop_gradient
 from keras.src.backend.jax.core import vectorized_map
-from keras.src.backend.jax.nn import adaptive_avg_pool
-from keras.src.backend.jax.nn import adaptive_max_pool
 from keras.src.backend.jax.rnn import cudnn_ok
 from keras.src.backend.jax.rnn import gru
 from keras.src.backend.jax.rnn import lstm