From 64f965e5aaf2d15d7011b99034dc68775d0186c9 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ho=C3=ABl=20Bagard?=
 <34478245+hoel-bagard@users.noreply.github.com>
Date: Mon, 19 Jan 2026 17:23:31 +0900
Subject: [PATCH] `tensorflow`: add `Activation`, `GlobalAveragePooling2D` and
 `MaxPool2D` layers (#15302)

---
 .../tensorflow/keras/layers/__init__.pyi      | 44 +++++++++++++++++++
 1 file changed, 44 insertions(+)

diff --git a/stubs/tensorflow/tensorflow/keras/layers/__init__.pyi b/stubs/tensorflow/tensorflow/keras/layers/__init__.pyi
index bb98d35d2..9764b04db 100644
--- a/stubs/tensorflow/tensorflow/keras/layers/__init__.pyi
+++ b/stubs/tensorflow/tensorflow/keras/layers/__init__.pyi
@@ -443,4 +443,48 @@ class GaussianDropout(Layer[tf.Tensor, tf.Tensor]):
         name: str | None = None,
     ) -> None: ...
 
+class Activation(Layer[tf.Tensor, tf.Tensor]):
+    def __init__(
+        self,
+        activation: _Activation = None,
+        *,
+        # **kwargs passed to Layer
+        # **kwargs passed to Layer
+        activity_regularizer: _Regularizer = None,
+        trainable: bool = True,
+        dtype: _LayerDtype | None = None,
+        autocast: bool = True,
+        name: str | None = None,
+    ) -> None: ...
+
+class GlobalAveragePooling2D(Layer[tf.Tensor, tf.Tensor]):
+    def __init__(
+        self,
+        data_format: Literal["channels_last", "channels_first"] | None = None,
+        keepdims: bool = False,
+        *,
+        # **kwargs passed to Layer
+        activity_regularizer: _Regularizer = None,
+        trainable: bool = True,
+        dtype: _LayerDtype | None = None,
+        autocast: bool = True,
+        name: str | None = None,
+    ) -> None: ...
+
+class MaxPool2D(Layer[tf.Tensor, tf.Tensor]):
+    def __init__(
+        self,
+        pool_size: int | tuple[int, int] = (2, 2),
+        strides: int | tuple[int, int] | None = None,
+        padding: Literal["valid", "same"] = "valid",
+        data_format: Literal["channels_last", "channels_first"] | None = None,
+        *,
+        # **kwargs passed to Layer
+        activity_regularizer: _Regularizer = None,
+        trainable: bool = True,
+        dtype: _LayerDtype | None = None,
+        autocast: bool = True,
+        name: str | None = None,
+    ) -> None: ...
+
 def __getattr__(name: str): ...  # incomplete module