🤖 Lint code

arshPratap · Dec 23, 2023 · 1a2cc6b · 1a2cc6b
1 parent bd0c9ef
commit 1a2cc6b
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Showing 3 changed files with 14 additions and 13 deletions.
diff --git a/ivy/data_classes/array/experimental/layers.py b/ivy/data_classes/array/experimental/layers.py
@@ -1316,9 +1316,8 @@ def adaptive_max_pool1d(
         self: ivy.Array,
         output_size: int,
     ) -> ivy.Array:
-        """
-        Apply a 1D adaptive maximum pooling over an input signal composed of several
-        input planes.
+        """Apply a 1D adaptive maximum pooling over an input signal composed of
+        several input planes.
 
         Parameters
         ----------
@@ -1328,6 +1327,7 @@ def adaptive_max_pool1d(
             dimension.
         output_size
             Spatial output size.
+
         Returns
         -------
             The result of the pooling operation. Will have shape (N, C, L_out) or

diff --git a/ivy/data_classes/container/experimental/layers.py b/ivy/data_classes/container/experimental/layers.py
@@ -2837,10 +2837,10 @@ def static_adaptive_max_pool1d(
         prune_unapplied: Union[bool, ivy.Container] = False,
         map_sequences: Union[bool, ivy.Container] = False,
     ) -> ivy.Container:
-        """
-        ivy.Container static method variant of ivy.adaptive_max_pool1d. This method
-        simply wraps the function, and so the docstring for ivy.adaptive_max_pool1d also
-        applies to this method with minimal changes.
+        """ivy.Container static method variant of ivy.adaptive_max_pool1d. This
+        method simply wraps the function, and so the docstring for
+        ivy.adaptive_max_pool1d also applies to this method with minimal
+        changes.
 
         Parameters
         ----------
@@ -2850,6 +2850,7 @@ def static_adaptive_max_pool1d(
             dimension.
         output_size
             Spatial output size.
+
         Returns
         -------
             The result of the pooling operation. Will have shape (N, C, L_out) or
@@ -2874,16 +2875,16 @@ def adaptive_max_pool1d(
         prune_unapplied: Union[bool, ivy.Container] = False,
         map_sequences: Union[bool, ivy.Container] = False,
     ) -> ivy.Container:
-        """
-        Apply a 1D adaptive maximum pooling over an input signal composed of several
-        input planes.
+        """Apply a 1D adaptive maximum pooling over an input signal composed of
+        several input planes.
 
         Parameters
         ----------
         self
             Input container.
         output_size
             Spatial output size.
+
         Returns
         -------
             The result of the pooling operation.

diff --git a/ivy/functional/ivy/experimental/layers.py b/ivy/functional/ivy/experimental/layers.py
@@ -3242,9 +3242,8 @@ def adaptive_max_pool1d(
     input: Union[ivy.Array, ivy.NativeArray],
     output_size: int,
 ) -> ivy.Array:
-    """
-    Apply a 1D adaptive maximum pooling over an input signal composed of several input
-    planes.
+    """Apply a 1D adaptive maximum pooling over an input signal composed of
+    several input planes.
 
     Parameters
     ----------
@@ -3254,6 +3253,7 @@ def adaptive_max_pool1d(
         dimension.
     output_size
         Spatial output size.
+
     Returns
     -------
         The result of the pooling operation. Will have shape (N, C, L_out) or