From 494399a2ee4ef3dcea6616561f6817e4467794f2 Mon Sep 17 00:00:00 2001
From: PAWAN SASANKA AMMANAMANCHI <pass2pawan@gmail.com>
Date: Sat, 30 Mar 2019 05:42:29 +0530
Subject: [PATCH 1/3] Adding GlobalAveragePooling1D

---
 Sources/DeepLearning/Layer.swift | 22 +++++++++++++++++++++-
 1 file changed, 21 insertions(+), 1 deletion(-)

diff --git a/Sources/DeepLearning/Layer.swift b/Sources/DeepLearning/Layer.swift
index 4233e8121..d5e04a079 100644
--- a/Sources/DeepLearning/Layer.swift
+++ b/Sources/DeepLearning/Layer.swift
@@ -1009,12 +1009,32 @@ public struct AvgPool2D<Scalar: TensorFlowFloatingPoint>: Layer {
     }
 }
 
+
+/// A global average pooling layer for temporal data.
+@_fixed_layout
+public struct GlobalAveragePooling1D<Scalar: TensorFlowFloatingPoint>: Layer {
+    /// Creates a global average pooling layer in 1 dimension
+    public init() {}
+
+    /// Returns the output obtained from applying the layer to the given input.
+    ///
+    /// - Parameters:
+    ///   - input: The input to the layer.
+    ///   - context: The contextual information for the layer application, e.g. the current learning
+    ///     phase.
+    /// - Returns: The output 
+    @differentiable
+    public func applied(to input: Tensor<Scalar>, in _: Context) -> Tensor<Scalar> {
+        return input.mean(alongAxes: axis)
+    }
+}
+
 /// A global average pooling layer for spatial data.
 @_fixed_layout
 public struct GlobalAveragePooling2D<Scalar: TensorFlowFloatingPoint>: Layer {
     /// Creates a global average pooling layer.
     public init() {}
-    
+
     /// Returns the output obtained from applying the layer to the given input.
     ///
     /// - Parameters:

From d4e218eeaca6bbe2301a906c9d8b7128f97ce98f Mon Sep 17 00:00:00 2001
From: Tanmay Bakshi <tajymany@gmail.com>
Date: Mon, 1 Apr 2019 11:48:00 +0530
Subject: [PATCH 2/3] Review Changes

Co-Authored-By: Shashi456 <Shashi456@users.noreply.github.com>
---
 Sources/DeepLearning/Layer.swift | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Sources/DeepLearning/Layer.swift b/Sources/DeepLearning/Layer.swift
index d5e04a079..3ad878d29 100644
--- a/Sources/DeepLearning/Layer.swift
+++ b/Sources/DeepLearning/Layer.swift
@@ -1025,7 +1025,7 @@ public struct GlobalAveragePooling1D<Scalar: TensorFlowFloatingPoint>: Layer {
     /// - Returns: The output 
     @differentiable
     public func applied(to input: Tensor<Scalar>, in _: Context) -> Tensor<Scalar> {
-        return input.mean(alongAxes: axis)
+        return input.mean(alongAxes: 1).reshaped(to: [input.shape[0], input.shape[2]])
     }
 }
 

From 97d773bda9d3d2f4c3db5af5afc90631390b531b Mon Sep 17 00:00:00 2001
From: Pawan Sasanka Ammanamanchi <Shashi456@users.noreply.github.com>
Date: Mon, 1 Apr 2019 15:30:19 +0530
Subject: [PATCH 3/3] Review Changes

---
 Sources/DeepLearning/Layer.swift | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Sources/DeepLearning/Layer.swift b/Sources/DeepLearning/Layer.swift
index 3ad878d29..73f1b263a 100644
--- a/Sources/DeepLearning/Layer.swift
+++ b/Sources/DeepLearning/Layer.swift
@@ -1013,7 +1013,7 @@ public struct AvgPool2D<Scalar: TensorFlowFloatingPoint>: Layer {
 /// A global average pooling layer for temporal data.
 @_fixed_layout
 public struct GlobalAveragePooling1D<Scalar: TensorFlowFloatingPoint>: Layer {
-    /// Creates a global average pooling layer in 1 dimension
+    /// Creates a global average pooling layer.
     public init() {}
 
     /// Returns the output obtained from applying the layer to the given input.