Add bitwise ops

keras/api/_tf_keras/keras/ops/__init__.py

@@ -113,6 +113,13 @@
 from keras.src.ops.numpy import array
 from keras.src.ops.numpy import average
 from keras.src.ops.numpy import bincount
+from keras.src.ops.numpy import bitwise_and
+from keras.src.ops.numpy import bitwise_invert
+from keras.src.ops.numpy import bitwise_left_shift
+from keras.src.ops.numpy import bitwise_not
+from keras.src.ops.numpy import bitwise_or
+from keras.src.ops.numpy import bitwise_right_shift
+from keras.src.ops.numpy import bitwise_xor
 from keras.src.ops.numpy import broadcast_to
 from keras.src.ops.numpy import ceil
 from keras.src.ops.numpy import clip
@@ -156,6 +163,7 @@
 from keras.src.ops.numpy import isfinite
 from keras.src.ops.numpy import isinf
 from keras.src.ops.numpy import isnan
+from keras.src.ops.numpy import left_shift
 from keras.src.ops.numpy import less
 from keras.src.ops.numpy import less_equal
 from keras.src.ops.numpy import linspace
@@ -197,6 +205,7 @@
 from keras.src.ops.numpy import reciprocal
 from keras.src.ops.numpy import repeat
 from keras.src.ops.numpy import reshape
+from keras.src.ops.numpy import right_shift
 from keras.src.ops.numpy import roll
 from keras.src.ops.numpy import round
 from keras.src.ops.numpy import searchsorted

keras/api/_tf_keras/keras/ops/numpy/__init__.py

@@ -27,6 +27,13 @@
 from keras.src.ops.numpy import array
 from keras.src.ops.numpy import average
 from keras.src.ops.numpy import bincount
+from keras.src.ops.numpy import bitwise_and
+from keras.src.ops.numpy import bitwise_invert
+from keras.src.ops.numpy import bitwise_left_shift
+from keras.src.ops.numpy import bitwise_not
+from keras.src.ops.numpy import bitwise_or
+from keras.src.ops.numpy import bitwise_right_shift
+from keras.src.ops.numpy import bitwise_xor
 from keras.src.ops.numpy import broadcast_to
 from keras.src.ops.numpy import ceil
 from keras.src.ops.numpy import clip
@@ -70,6 +77,7 @@
 from keras.src.ops.numpy import isfinite
 from keras.src.ops.numpy import isinf
 from keras.src.ops.numpy import isnan
+from keras.src.ops.numpy import left_shift
 from keras.src.ops.numpy import less
 from keras.src.ops.numpy import less_equal
 from keras.src.ops.numpy import linspace
@@ -111,6 +119,7 @@
 from keras.src.ops.numpy import reciprocal
 from keras.src.ops.numpy import repeat
 from keras.src.ops.numpy import reshape
+from keras.src.ops.numpy import right_shift
 from keras.src.ops.numpy import roll
 from keras.src.ops.numpy import round
 from keras.src.ops.numpy import select

keras/api/ops/__init__.py

@@ -113,6 +113,13 @@
 from keras.src.ops.numpy import array
 from keras.src.ops.numpy import average
 from keras.src.ops.numpy import bincount
+from keras.src.ops.numpy import bitwise_and
+from keras.src.ops.numpy import bitwise_invert
+from keras.src.ops.numpy import bitwise_left_shift
+from keras.src.ops.numpy import bitwise_not
+from keras.src.ops.numpy import bitwise_or
+from keras.src.ops.numpy import bitwise_right_shift
+from keras.src.ops.numpy import bitwise_xor
 from keras.src.ops.numpy import broadcast_to
 from keras.src.ops.numpy import ceil
 from keras.src.ops.numpy import clip
@@ -156,6 +163,7 @@
 from keras.src.ops.numpy import isfinite
 from keras.src.ops.numpy import isinf
 from keras.src.ops.numpy import isnan
+from keras.src.ops.numpy import left_shift
 from keras.src.ops.numpy import less
 from keras.src.ops.numpy import less_equal
 from keras.src.ops.numpy import linspace
@@ -197,6 +205,7 @@
 from keras.src.ops.numpy import reciprocal
 from keras.src.ops.numpy import repeat
 from keras.src.ops.numpy import reshape
+from keras.src.ops.numpy import right_shift
 from keras.src.ops.numpy import roll
 from keras.src.ops.numpy import round
 from keras.src.ops.numpy import searchsorted

keras/api/ops/numpy/__init__.py

@@ -27,6 +27,13 @@
 from keras.src.ops.numpy import array
 from keras.src.ops.numpy import average
 from keras.src.ops.numpy import bincount
+from keras.src.ops.numpy import bitwise_and
+from keras.src.ops.numpy import bitwise_invert
+from keras.src.ops.numpy import bitwise_left_shift
+from keras.src.ops.numpy import bitwise_not
+from keras.src.ops.numpy import bitwise_or
+from keras.src.ops.numpy import bitwise_right_shift
+from keras.src.ops.numpy import bitwise_xor
 from keras.src.ops.numpy import broadcast_to
 from keras.src.ops.numpy import ceil
 from keras.src.ops.numpy import clip
@@ -70,6 +77,7 @@
 from keras.src.ops.numpy import isfinite
 from keras.src.ops.numpy import isinf
 from keras.src.ops.numpy import isnan
+from keras.src.ops.numpy import left_shift
 from keras.src.ops.numpy import less
 from keras.src.ops.numpy import less_equal
 from keras.src.ops.numpy import linspace
@@ -111,6 +119,7 @@
 from keras.src.ops.numpy import reciprocal
 from keras.src.ops.numpy import repeat
 from keras.src.ops.numpy import reshape
+from keras.src.ops.numpy import right_shift
 from keras.src.ops.numpy import roll
 from keras.src.ops.numpy import round
 from keras.src.ops.numpy import select

keras/src/backend/jax/numpy.py

@@ -369,6 +369,53 @@ def average(x, axis=None, weights=None):
     return jnp.average(x, weights=weights, axis=axis)
 
 
+def bitwise_and(x, y):
+    x = convert_to_tensor(x)
+    y = convert_to_tensor(y)
+    return jnp.bitwise_and(x, y)
+
+
+def bitwise_invert(x):
+    x = convert_to_tensor(x)
+    return jnp.bitwise_invert(x)
+
+
+def bitwise_not(x):
+    return bitwise_invert(x)
+
+
+def bitwise_or(x, y):
+    x = convert_to_tensor(x)
+    y = convert_to_tensor(y)
+    return jnp.bitwise_or(x, y)
+
+
+def bitwise_xor(x, y):
+    x = convert_to_tensor(x)
+    y = convert_to_tensor(y)
+    return jnp.bitwise_xor(x, y)
+
+
+def bitwise_left_shift(x, y):
+    x = convert_to_tensor(x)
+    y = convert_to_tensor(y)
+    return jnp.bitwise_left_shift(x, y)
+
+
+def left_shift(x, y):
+    return bitwise_left_shift(x, y)
+
+
+def bitwise_right_shift(x, y):
+    x = convert_to_tensor(x)
+    y = convert_to_tensor(y)
+    return jnp.bitwise_right_shift(x, y)
+
+
+def right_shift(x, y):
+    return bitwise_right_shift(x, y)
+
+
 def broadcast_to(x, shape):
     x = convert_to_tensor(x)
     return jnp.broadcast_to(x, shape)

keras/src/backend/numpy/numpy.py

@@ -293,6 +293,53 @@ def bincount_fn(arr_w):
     return np.bincount(x, weights, minlength).astype(dtype)
 
 
+def bitwise_and(x, y):
+    x = convert_to_tensor(x)
+    y = convert_to_tensor(y)
+    return np.bitwise_and(x, y)
+
+
+def bitwise_invert(x):
+    x = convert_to_tensor(x)
+    return np.bitwise_not(x)
+
+
+def bitwise_not(x):
+    return bitwise_invert(x)
+
+
+def bitwise_or(x, y):
+    x = convert_to_tensor(x)
+    y = convert_to_tensor(y)
+    return np.bitwise_or(x, y)
+
+
+def bitwise_xor(x, y):
+    x = convert_to_tensor(x)
+    y = convert_to_tensor(y)
+    return np.bitwise_xor(x, y)
+
+
+def bitwise_left_shift(x, y):
+    x = convert_to_tensor(x)
+    y = convert_to_tensor(y)
+    return np.left_shift(x, y)
+
+
+def left_shift(x, y):
+    return bitwise_left_shift(x, y)
+
+
+def bitwise_right_shift(x, y):
+    x = convert_to_tensor(x)
+    y = convert_to_tensor(y)
+    return np.right_shift(x, y)
+
+
+def right_shift(x, y):
+    return bitwise_right_shift(x, y)
+
+
 def broadcast_to(x, shape):
     return np.broadcast_to(x, shape)
 

keras/src/backend/tensorflow/numpy.py

@@ -836,6 +836,68 @@ def _rank_not_equal_case():
     return avg
 
 
+def bitwise_and(x, y):
+    x = convert_to_tensor(x)
+    y = convert_to_tensor(y)
+    dtype = dtypes.result_type(x.dtype, y.dtype)
+    x = tf.cast(x, dtype)
+    y = tf.cast(y, dtype)
+    return tf.bitwise.bitwise_and(x, y)
+
+
+def bitwise_invert(x):
+    x = convert_to_tensor(x)
+    return tf.bitwise.invert(x)
+
+
+def bitwise_not(x):
+    return bitwise_invert(x)
+
+
+def bitwise_or(x, y):
+    x = convert_to_tensor(x)
+    y = convert_to_tensor(y)
+    dtype = dtypes.result_type(x.dtype, y.dtype)
+    x = tf.cast(x, dtype)
+    y = tf.cast(y, dtype)
+    return tf.bitwise.bitwise_or(x, y)
+
+
+def bitwise_xor(x, y):
+    x = convert_to_tensor(x)
+    y = convert_to_tensor(y)
+    dtype = dtypes.result_type(x.dtype, y.dtype)
+    x = tf.cast(x, dtype)
+    y = tf.cast(y, dtype)
+    return tf.bitwise.bitwise_xor(x, y)
+
+
+def bitwise_left_shift(x, y):
+    x = convert_to_tensor(x)
+    y = convert_to_tensor(y)
+    dtype = dtypes.result_type(x.dtype, y.dtype)
+    x = tf.cast(x, dtype)
+    y = tf.cast(y, dtype)
+    return tf.bitwise.left_shift(x, y)
+
+
+def left_shift(x, y):
+    return bitwise_left_shift(x, y)
+
+
+def bitwise_right_shift(x, y):
+    x = convert_to_tensor(x)
+    y = convert_to_tensor(y)
+    dtype = dtypes.result_type(x.dtype, y.dtype)
+    x = tf.cast(x, dtype)
+    y = tf.cast(y, dtype)
+    return tf.bitwise.right_shift(x, y)
+
+
+def right_shift(x, y):
+    return bitwise_right_shift(x, y)
+
+
 def broadcast_to(x, shape):
     return tf.broadcast_to(x, shape)
 

keras/src/backend/torch/numpy.py

@@ -411,6 +411,53 @@ def bincount_fn(arr_w):
     return cast(torch.bincount(x, weights, minlength), dtype)
 
 
+def bitwise_and(x, y):
+    x = convert_to_tensor(x)
+    y = convert_to_tensor(y)
+    return torch.bitwise_and(x, y)
+
+
+def bitwise_invert(x):
+    x = convert_to_tensor(x)
+    return torch.bitwise_not(x)
+
+
+def bitwise_not(x):
+    return bitwise_invert(x)
+
+
+def bitwise_or(x, y):
+    x = convert_to_tensor(x)
+    y = convert_to_tensor(y)
+    return torch.bitwise_or(x, y)
+
+
+def bitwise_xor(x, y):
+    x = convert_to_tensor(x)
+    y = convert_to_tensor(y)
+    return torch.bitwise_xor(x, y)
+
+
+def bitwise_left_shift(x, y):
+    x = convert_to_tensor(x)
+    y = convert_to_tensor(y)
+    return torch.bitwise_left_shift(x, y)
+
+
+def left_shift(x, y):
+    return bitwise_left_shift(x, y)
+
+
+def bitwise_right_shift(x, y):
+    x = convert_to_tensor(x)
+    y = convert_to_tensor(y)
+    return torch.bitwise_right_shift(x, y)
+
+
+def right_shift(x, y):
+    return bitwise_right_shift(x, y)
+
+
 def broadcast_to(x, shape):
     x = convert_to_tensor(x)
     return torch.broadcast_to(x, shape)