diff --git a/compatibility_matrices/compatibility_matrix.4.xml b/compatibility_matrices/compatibility_matrix.4.xml
index a34f746..6c28761 100644
--- a/compatibility_matrices/compatibility_matrix.4.xml
+++ b/compatibility_matrices/compatibility_matrix.4.xml
@@ -494,14 +494,6 @@
         </interface>
     </hal>
     <hal format="hidl" optional="true">
-        <name>android.hardware.wifi.offload</name>
-        <version>1.0</version>
-        <interface>
-            <name>IOffload</name>
-            <instance>default</instance>
-        </interface>
-    </hal>
-    <hal format="hidl" optional="true">
         <name>android.hardware.wifi.supplicant</name>
         <version>1.0-2</version>
         <interface>
diff --git a/current.txt b/current.txt
index 1d1b80a..d1c5290 100644
--- a/current.txt
+++ b/current.txt
@@ -401,8 +401,8 @@
 65a021fa89085b62fc96b2b6d3bef2f9103cf4d63379c68bc154fd9eef672852 android.hardware.health@1.0::types
 b7ecf29927055ec422ec44bf776223f07d79ad9f92ccf9becf167e62c2607e7a android.hardware.keymaster@4.0::IKeymasterDevice
 574e8f1499436fb4075894dcae0b36682427956ecb114f17f1fe22d116a83c6b android.hardware.neuralnetworks@1.0::IPreparedModel
-417ab60fe1ef786778047e4486f3d868ebce570d91addd8fe4251515213072de android.hardware.neuralnetworks@1.0::types
-ec8aa14fe9b03f2b3fb9845346a4005b6d098ebe2277b2564f73a548a0fd14a7 android.hardware.neuralnetworks@1.1::types
+567de4ebb3a224721eabae40c4484fad2cd1608eb0e66ec9214eb88e9b15d3c9 android.hardware.neuralnetworks@1.0::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 @@
 92714960d1a53fc2ec557302b41c7cc93d2636d8364a44bd0f85be0c92927ff8 android.hardware.neuralnetworks@1.2::IExecutionCallback
 36e1064c869965dee533c537cefbe87e54db8bd8cd45be7e0e93e00e8a43863a android.hardware.neuralnetworks@1.2::IPreparedModel
 e1c734d1545e1a4ae749ff1dd9704a8e594c59aea7c8363159dc258e93e0df3b android.hardware.neuralnetworks@1.2::IPreparedModelCallback
-b75126d572c1788682a679ab53c2dbdf3fcd75f754b1370dbf09aaad0e19d397 android.hardware.neuralnetworks@1.2::types
+51725cd8541bf459190d8a911f9aae9a0825678256b88fc39fac81d69feb04af 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/keymaster/4.0/vts/functional/keymaster_hidl_hal_test.cpp b/keymaster/4.0/vts/functional/keymaster_hidl_hal_test.cpp
index fc96724..cf12e2a 100644
--- a/keymaster/4.0/vts/functional/keymaster_hidl_hal_test.cpp
+++ b/keymaster/4.0/vts/functional/keymaster_hidl_hal_test.cpp
@@ -414,7 +414,7 @@
     EXPECT_NE(strcmp(property_value, "nogood"), 0);
     string prop_string(property_value);
     EXPECT_EQ(prop_string.size(), 64);
-    EXPECT_EQ(0, memcmp(verified_boot_hash.data(), prop_string.data(), verified_boot_hash.size()));
+    EXPECT_EQ(prop_string, bin2hex(verified_boot_hash));
 
     property_get("ro.boot.vbmeta.device_state", property_value, "nogood");
     EXPECT_NE(property_value, "nogood");
diff --git a/neuralnetworks/1.0/types.hal b/neuralnetworks/1.0/types.hal
index 89af35a..a358946 100644
--- a/neuralnetworks/1.0/types.hal
+++ b/neuralnetworks/1.0/types.hal
@@ -1197,6 +1197,11 @@
      *      shape of the output tensor. The number of elements implied by shape
      *      must be the same as the number of elements in the input tensor.
      *
+     *      If one component of shape is the special value -1, the size of that
+     *      dimension is computed so that the total size remains constant. In
+     *      particular, a shape of [-1] flattens into 1-D. At most one component
+     *      of shape can be -1.
+     *
      * Outputs:
      * * 0: The output tensor, of shape specified by the input shape.
      *
diff --git a/neuralnetworks/1.1/types.hal b/neuralnetworks/1.1/types.hal
index 99f873a..335b803 100644
--- a/neuralnetworks/1.1/types.hal
+++ b/neuralnetworks/1.1/types.hal
@@ -104,9 +104,6 @@
      * 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 @@
      * 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 839114f..31576fa 100644
--- a/neuralnetworks/1.2/types.hal
+++ b/neuralnetworks/1.2/types.hal
@@ -1005,12 +1005,21 @@
      *      the input.
      * * 1: An {@link OperandType::INT32} scalar, specifying the radius of
      *      the normalization window.
-     * * 2: An {@link OperandType::FLOAT32} scalar, specifying the bias, must
-     *      not be zero.
-     * * 3: An {@link OperandType::FLOAT32} scalar, specifying the scale
-     *      factor, alpha.
-     * * 4: An {@link OperandType::FLOAT32} scalar, specifying the exponent,
-     *      beta.
+     * * 2: A scalar, specifying the bias, must not be zero.
+     *      For input tensor of {@link OperandType::TENSOR_FLOAT16}, the bias
+     *      value must be of {@link OperandType::FLOAT16}.
+     *      For input tensor of {@link OperandType::TENSOR_FLOAT32}, the bias
+     *      value must be of {@link OperandType::FLOAT32}.
+     * * 3: A scalar, specifying the scale factor, alpha.
+     *      For input tensor of {@link OperandType::TENSOR_FLOAT16}, the alpha
+     *      value must be of {@link OperandType::FLOAT16}.
+     *      For input tensor of {@link OperandType::TENSOR_FLOAT32}, the alpha
+     *      value must be of {@link OperandType::FLOAT32}.
+     * * 4: A scalar, specifying the exponent, beta.
+     *      For input tensor of {@link OperandType::TENSOR_FLOAT16}, the beta
+     *      value must be of {@link OperandType::FLOAT16}.
+     *      For input tensor of {@link OperandType::TENSOR_FLOAT32}, the beta
+     *      value must be of {@link OperandType::FLOAT32}.
      * * 5: An optional {@link OperandType::INT32} scalar, default to -1,
      *      specifying the dimension normalization would be performed on.
      *      Negative index is used to specify axis from the end (e.g. -1 for
@@ -1548,6 +1557,11 @@
      *      shape of the output tensor. The number of elements implied by shape
      *      must be the same as the number of elements in the input tensor.
      *
+     *      If one component of shape is the special value -1, the size of that
+     *      dimension is computed so that the total size remains constant. In
+     *      particular, a shape of [-1] flattens into 1-D. At most one component
+     *      of shape can be -1.
+     *
      * Outputs:
      * * 0: The output tensor, of shape specified by the input shape.
      *
@@ -1949,9 +1963,6 @@
      * 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}
@@ -1962,8 +1973,14 @@
      * 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.
      *
@@ -3487,8 +3504,12 @@
      *
      * Inputs:
      * * 0: A tensor specifying the input logits.
-     * * 1: An {@link OperandType::FLOAT32} scalar, specifying the positive
-     *      scaling factor for the exponent, beta.
+     * * 1: A scalar, specifying the positive scaling factor for the exponent,
+     *      beta.
+     *      For input tensor of {@link OperandType::TENSOR_FLOAT16}, the beta
+     *      value must be of {@link OperandType::FLOAT16}.
+     *      For input tensor of {@link OperandType::TENSOR_FLOAT32}, the beta
+     *      value must be of {@link OperandType::FLOAT32}.
      * * 2: An {@link OperandType::INT32} scalar specifying the axis to
      *      reduce across. Negative index is used to specify axis from the
      *      end (e.g. -1 for the last axis). Must be in the range [-n, n).
@@ -3510,6 +3531,8 @@
      * * {@link OperandType::TENSOR_INT32}
      * * {@link OperandType::TENSOR_QUANT8_ASYMM}
      *
+     * Supported tensor rank: from 1.
+     *
      * Inputs:
      * * 0: A tensor.
      * * 1: A tensor of the same {@link OperandType} and compatible dimensions
@@ -3531,6 +3554,8 @@
      * * {@link OperandType::TENSOR_INT32}
      * * {@link OperandType::TENSOR_QUANT8_ASYMM}
      *
+     * Supported tensor rank: from 1.
+     *
      * Inputs:
      * * 0: A tensor.
      * * 1: A tensor of the same {@link OperandType} and compatible dimensions
diff --git a/radio/1.3/vts/functional/radio_hidl_hal_api.cpp b/radio/1.3/vts/functional/radio_hidl_hal_api.cpp
index 1bebae7..030f489 100644
--- a/radio/1.3/vts/functional/radio_hidl_hal_api.cpp
+++ b/radio/1.3/vts/functional/radio_hidl_hal_api.cpp
@@ -78,6 +78,8 @@
 
 /*
  * Test IRadio.setSystemSelectionChannels() for the response returned.
+ *
+ * This test is excluded from manifest, due to non-implementation in Q. Tracked by b/130254624.
  */
 TEST_F(RadioHidlTest_v1_3, setSystemSelectionChannels) {
     serial = GetRandomSerialNumber();
diff --git a/soundtrigger/2.2/vts/functional/Android.bp b/soundtrigger/2.2/vts/functional/Android.bp
new file mode 100644
index 0000000..08ccd7b
--- /dev/null
+++ b/soundtrigger/2.2/vts/functional/Android.bp
@@ -0,0 +1,27 @@
+//
+// Copyright (C) 2019 The Android Open Source Project
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//      http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//
+
+cc_test {
+    name: "VtsHalSoundtriggerV2_2TargetTest",
+    defaults: ["VtsHalTargetTestDefaults"],
+    srcs: ["VtsHalSoundtriggerV2_2TargetTest.cpp"],
+    static_libs: [
+        "android.hardware.soundtrigger@2.0",
+        "android.hardware.soundtrigger@2.1",
+        "android.hardware.soundtrigger@2.2",
+    ],
+    test_suites: ["general-tests"],
+}
diff --git a/wifi/1.0/vts/functional/wifi_sta_iface_hidl_test.cpp b/wifi/1.0/vts/functional/wifi_sta_iface_hidl_test.cpp
index a22cd72..a413863 100644
--- a/wifi/1.0/vts/functional/wifi_sta_iface_hidl_test.cpp
+++ b/wifi/1.0/vts/functional/wifi_sta_iface_hidl_test.cpp
@@ -258,6 +258,11 @@
  * code.
  */
 TEST_F(WifiStaIfaceHidlTest, SetScanningMacOui) {
+    if (!isCapabilitySupported(
+            IWifiStaIface::StaIfaceCapabilityMask::SCAN_RAND)) {
+        // No-op if SetScanningMacOui is not supported.
+        return;
+    }
     const android::hardware::hidl_array<uint8_t, 3> kOui{
         std::array<uint8_t, 3>{{0x10, 0x22, 0x33}}};
     EXPECT_EQ(WifiStatusCode::SUCCESS,