diff --git a/Sources/DeepLearning/Layer.swift b/Sources/DeepLearning/Layer.swift
index 4233e8121..73f1b263a 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.
+    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: 1).reshaped(to: [input.shape[0], input.shape[2]])
+    }
+}
+
 /// 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: