diff --git a/current.txt b/current.txt
index 83a3a10cbb..a9ea1adb80 100644
--- a/current.txt
+++ b/current.txt
@@ -402,7 +402,7 @@ f7d7cb747dc01a9fdb2d39a80003b4d8df9be733d65f5842198802eb6209db69 android.hardwar
 b7ecf29927055ec422ec44bf776223f07d79ad9f92ccf9becf167e62c2607e7a android.hardware.keymaster@4.0::IKeymasterDevice
 574e8f1499436fb4075894dcae0b36682427956ecb114f17f1fe22d116a83c6b android.hardware.neuralnetworks@1.0::IPreparedModel
 567de4ebb3a224721eabae40c4484fad2cd1608eb0e66ec9214eb88e9b15d3c9 android.hardware.neuralnetworks@1.0::types
-ec8aa14fe9b03f2b3fb9845346a4005b6d098ebe2277b2564f73a548a0fd14a7 android.hardware.neuralnetworks@1.1::types
+d51937a3567a50f239589e40300264c4b57f2c3582c6fc6df082f45eb74d90e3 android.hardware.neuralnetworks@1.1::types
 1d4a5776614c08b5d794a5ec5ab04697260cbd4b3441d5935cd53ee71d19da02 android.hardware.radio@1.0::IRadioResponse
 ed9da80ec0c96991fd03f0a46107815d0e50f764656e49dba4980fa5c31d5bc3 android.hardware.radio@1.0::types
 1d19720d4fd38b1095f0f555a4bd92b3b12c9b1d0f560b0e9a474cd6dcc20db6 android.hardware.radio@1.2::IRadio
@@ -515,7 +515,7 @@ b83317b66721241887d2770b5ae95fd5af1e77c5daa7530ecb08fae8892f2b43 android.hardwar
 92714960d1a53fc2ec557302b41c7cc93d2636d8364a44bd0f85be0c92927ff8 android.hardware.neuralnetworks@1.2::IExecutionCallback
 36e1064c869965dee533c537cefbe87e54db8bd8cd45be7e0e93e00e8a43863a android.hardware.neuralnetworks@1.2::IPreparedModel
 e1c734d1545e1a4ae749ff1dd9704a8e594c59aea7c8363159dc258e93e0df3b android.hardware.neuralnetworks@1.2::IPreparedModelCallback
-5c0d2f81f764f6c24928b4bc6b950f58b8eb85e99015bea8510d51e39e8fdadd android.hardware.neuralnetworks@1.2::types
+b47700929d91ad9c037fd26077d4008d4a04753f71f4f332aeedbd1de7bb91e1 android.hardware.neuralnetworks@1.2::types
 cf7a4ba516a638f9b82a249c91fb603042c2d9ca43fd5aad9cf6c0401ed2a5d7 android.hardware.nfc@1.2::INfc
 abf98c2ae08bf765db54edc8068e36d52eb558cff6706b6fd7c18c65a1f3fc18 android.hardware.nfc@1.2::types
 4cb252dc6372a874aef666b92a6e9529915aa187521a700f0789065c3c702ead android.hardware.power.stats@1.0::IPowerStats
diff --git a/neuralnetworks/1.1/types.hal b/neuralnetworks/1.1/types.hal
index 99f873a5ab..335b80366f 100644
--- a/neuralnetworks/1.1/types.hal
+++ b/neuralnetworks/1.1/types.hal
@@ -104,9 +104,6 @@ enum OperationType : @1.0::OperationType {
      * in axis. If keep_dims is true, the reduced dimensions are retained with
      * length 1.
      *
-     * If dimensions to reduce have no entries, all dimensions are reduced, and
-     * a tensor with a single element is returned.
-     *
      * Supported tensor {@link OperandType}:
      * * {@link OperandType::TENSOR_FLOAT32}
      * * {@link OperandType::TENSOR_QUANT8_ASYMM}
@@ -116,8 +113,14 @@ enum OperationType : @1.0::OperationType {
      * Inputs:
      * * 0: A tensor, specifying the input.
      * * 1: A 1-D Tensor of {@link OperandType::TENSOR_INT32}. The dimensions
-     *      to reduce. If None (the default), reduces all dimensions. Must be in
-     *      the range [-rank(input_tensor), rank(input_tensor)).
+     *      to reduce. Must be in the range
+     *      [-rank(input_tensor), rank(input_tensor)).
+     *
+     *      NOTE: When the operation was introduced, the documentation
+     *      incorrectly stated that if dimensions were empty, the operation
+     *      would reduce across all dimensions. This behavior was never
+     *      implemented.
+     *
      * * 2: An {@link OperandType::INT32} scalar, keep_dims. If positive,
      *      retains reduced dimensions with length 1.
      *
diff --git a/neuralnetworks/1.2/types.hal b/neuralnetworks/1.2/types.hal
index f13fcb290b..499c817348 100644
--- a/neuralnetworks/1.2/types.hal
+++ b/neuralnetworks/1.2/types.hal
@@ -1954,9 +1954,6 @@ enum OperationType : int32_t {
      * in axis. If keep_dims is true, the reduced dimensions are retained with
      * length 1.
      *
-     * If dimensions to reduce have no entries, all dimensions are reduced, and
-     * a tensor with a single element is returned.
-     *
      * Supported tensor {@link OperandType}:
      * * {@link OperandType::TENSOR_FLOAT16} (since API level 29)
      * * {@link OperandType::TENSOR_FLOAT32}
@@ -1967,8 +1964,14 @@ enum OperationType : int32_t {
      * Inputs:
      * * 0: A tensor, specifying the input.
      * * 1: A 1-D Tensor of {@link OperandType::TENSOR_INT32}. The dimensions
-     *      to reduce. If None (the default), reduces all dimensions. Must be in
-     *      the range [-rank(input_tensor), rank(input_tensor)).
+     *      to reduce. Must be in the range
+     *      [-rank(input_tensor), rank(input_tensor)).
+     *
+     *      NOTE: When the operation was introduced, the documentation
+     *      incorrectly stated that if dimensions were empty, the operation
+     *      would reduce across all dimensions. This behavior was never
+     *      implemented.
+     *
      * * 2: An {@link OperandType::INT32} scalar, keep_dims. If positive,
      *      retains reduced dimensions with length 1.
      *