diff --git a/biometrics/face/1.0/vts/functional/VtsHalBiometricsFaceV1_0TargetTest.cpp b/biometrics/face/1.0/vts/functional/VtsHalBiometricsFaceV1_0TargetTest.cpp
index d3d7387..a4e95ed 100644
--- a/biometrics/face/1.0/vts/functional/VtsHalBiometricsFaceV1_0TargetTest.cpp
+++ b/biometrics/face/1.0/vts/functional/VtsHalBiometricsFaceV1_0TargetTest.cpp
@@ -64,7 +64,7 @@
     // The error passed to the last onError() callback.
     FaceError error;
 
-    // The userId passed to the last onRemoved() callback.
+    // The userId passed to the last callback.
     int32_t userId;
 };
 
@@ -74,24 +74,32 @@
 class FaceCallback : public ::testing::VtsHalHidlTargetCallbackBase<FaceCallbackArgs>,
                      public IBiometricsFaceClientCallback {
   public:
-    Return<void> onEnrollResult(uint64_t, uint32_t, int32_t, uint32_t) override {
-        NotifyFromCallback(kCallbackNameOnEnrollResult);
+    Return<void> onEnrollResult(uint64_t, uint32_t, int32_t userId, uint32_t) override {
+        FaceCallbackArgs args = {};
+        args.userId = userId;
+        NotifyFromCallback(kCallbackNameOnEnrollResult, args);
         return Void();
     }
 
-    Return<void> onAuthenticated(uint64_t, uint32_t, int32_t, const hidl_vec<uint8_t>&) override {
-        NotifyFromCallback(kCallbackNameOnAuthenticated);
+    Return<void> onAuthenticated(uint64_t, uint32_t, int32_t userId,
+                                 const hidl_vec<uint8_t>&) override {
+        FaceCallbackArgs args = {};
+        args.userId = userId;
+        NotifyFromCallback(kCallbackNameOnAuthenticated, args);
         return Void();
     }
 
-    Return<void> onAcquired(uint64_t, int32_t, FaceAcquiredInfo, int32_t) override {
-        NotifyFromCallback(kCallbackNameOnAcquired);
+    Return<void> onAcquired(uint64_t, int32_t userId, FaceAcquiredInfo, int32_t) override {
+        FaceCallbackArgs args = {};
+        args.userId = userId;
+        NotifyFromCallback(kCallbackNameOnAcquired, args);
         return Void();
     }
 
-    Return<void> onError(uint64_t, int32_t, FaceError error, int32_t) override {
+    Return<void> onError(uint64_t, int32_t userId, FaceError error, int32_t) override {
         FaceCallbackArgs args = {};
         args.error = error;
+        args.userId = userId;
         NotifyFromCallback(kCallbackNameOnError, args);
         return Void();
     }
@@ -103,8 +111,10 @@
         return Void();
     }
 
-    Return<void> onEnumerate(uint64_t, const hidl_vec<uint32_t>&, int32_t) override {
-        NotifyFromCallback(kCallbackNameOnEnumerate);
+    Return<void> onEnumerate(uint64_t, const hidl_vec<uint32_t>&, int32_t userId) override {
+        FaceCallbackArgs args = {};
+        args.userId = userId;
+        NotifyFromCallback(kCallbackNameOnEnumerate, args);
         return Void();
     }
 
@@ -185,6 +195,7 @@
     // onError should be called with a meaningful (nonzero) error.
     auto res = mCallback->WaitForCallback(kCallbackNameOnError);
     EXPECT_TRUE(res.no_timeout);
+    EXPECT_EQ(kUserId, res.args->userId);
     EXPECT_EQ(FaceError::UNABLE_TO_PROCESS, res.args->error);
 }
 
@@ -205,6 +216,7 @@
     // onError should be called with a meaningful (nonzero) error.
     auto res = mCallback->WaitForCallback(kCallbackNameOnError);
     EXPECT_TRUE(res.no_timeout);
+    EXPECT_EQ(kUserId, res.args->userId);
     EXPECT_EQ(FaceError::UNABLE_TO_PROCESS, res.args->error);
 }
 
@@ -271,6 +283,7 @@
     Return<Status> ret = mService->enumerate();
     ASSERT_EQ(Status::OK, static_cast<Status>(ret));
     auto res = mCallback->WaitForCallback(kCallbackNameOnEnumerate);
+    EXPECT_EQ(kUserId, res.args->userId);
     EXPECT_TRUE(res.no_timeout);
 }
 
@@ -330,6 +343,7 @@
     auto res = mCallback->WaitForCallback(kCallbackNameOnError);
     // make sure callback was invoked within kRevokeChallengeTimeout
     EXPECT_TRUE(res.no_timeout);
+    EXPECT_EQ(kUserId, res.args->userId);
     EXPECT_EQ(FaceError::CANCELED, res.args->error);
 }
 
diff --git a/current.txt b/current.txt
index 2aa9ef2..44eebf8 100644
--- a/current.txt
+++ b/current.txt
@@ -574,8 +574,8 @@
 # ABI preserving changes to HALs during Android R
 2410dd02d67786a732d36e80b0f8ccf55086604ef37f9838e2013ff2c571e404 android.hardware.camera.device@3.5::types
 b69a7615c508acf5c5201efd1bfa3262167874fc3594e2db5a3ff93addd8ac75 android.hardware.keymaster@4.0::IKeymasterDevice
-ad431c8de51c07934a068e3043d8dd0537ac4d3158627706628b123f42df48dc android.hardware.neuralnetworks@1.0::IPreparedModel
+eb2fa0c883c2185d514be0b84c179b283753ef0c1b77b45b4f359bd23bba8b75 android.hardware.neuralnetworks@1.0::IPreparedModel
 fb382e986c10b8fbb797a8546e8f9ea6d1107bfe6f3fb7e57f6bbbf1f807a906 android.hardware.neuralnetworks@1.2::IDevice
-aafcc10cf04ab247e86d4582586c71c6b4c2b8c479241ffa7fe37deb659fc942 android.hardware.neuralnetworks@1.2::IPreparedModel
+6c5081dd131eeb7eb02efece2187cd4d7d554197800bb520c92ff874cc238fa6 android.hardware.neuralnetworks@1.2::IPreparedModel
 1a6e2bd289f22931c526b21916910f1d4c436b7acb9556e4243de4ce8e6cc2e4 android.hardware.soundtrigger@2.0::ISoundTriggerHwCallback
 fd65298e1e09e0e3c781ab18305920d757dbe55a3b459ce17814ec5cf6dfee99 android.hardware.wifi@1.0::IWifiP2pIface
diff --git a/graphics/composer/2.1/utils/hal/include/composer-hal/2.1/Composer.h b/graphics/composer/2.1/utils/hal/include/composer-hal/2.1/Composer.h
index 62a163c..4b8c6bb 100644
--- a/graphics/composer/2.1/utils/hal/include/composer-hal/2.1/Composer.h
+++ b/graphics/composer/2.1/utils/hal/include/composer-hal/2.1/Composer.h
@@ -67,6 +67,14 @@
             }
         }
 
+        // we do not have HWC2_CAPABILITY_SKIP_VALIDATE defined in
+        // IComposer::Capability.  However, this is defined in hwcomposer2.h,
+        // so if the device returns it, add it manually to be returned to the
+        // client
+        if (mHal->hasCapability(HWC2_CAPABILITY_SKIP_VALIDATE)) {
+            caps.push_back(static_cast<IComposer::Capability>(HWC2_CAPABILITY_SKIP_VALIDATE));
+        }
+
         hidl_vec<IComposer::Capability> caps_reply;
         caps_reply.setToExternal(caps.data(), caps.size());
         hidl_cb(caps_reply);
diff --git a/graphics/composer/2.1/vts/functional/VtsHalGraphicsComposerV2_1TargetTest.cpp b/graphics/composer/2.1/vts/functional/VtsHalGraphicsComposerV2_1TargetTest.cpp
index 5d2f65d..9477ee6 100644
--- a/graphics/composer/2.1/vts/functional/VtsHalGraphicsComposerV2_1TargetTest.cpp
+++ b/graphics/composer/2.1/vts/functional/VtsHalGraphicsComposerV2_1TargetTest.cpp
@@ -20,6 +20,7 @@
 #include <composer-vts/2.1/ComposerVts.h>
 #include <composer-vts/2.1/GraphicsComposerCallback.h>
 #include <composer-vts/2.1/TestCommandReader.h>
+#include <hardware/hwcomposer2.h>
 #include <mapper-vts/2.0/MapperVts.h>
 #include <mapper-vts/3.0/MapperVts.h>
 #include <mapper-vts/4.0/MapperVts.h>
@@ -789,6 +790,12 @@
  * surface damage have been set
  */
 TEST_F(GraphicsComposerHidlCommandTest, PRESENT_DISPLAY_NO_LAYER_STATE_CHANGES) {
+    if (!mComposer->hasCapability(
+                static_cast<IComposer::Capability>(HWC2_CAPABILITY_SKIP_VALIDATE))) {
+        std::cout << "Device does not have skip validate capability, skipping" << std::endl;
+        GTEST_SUCCEED();
+        return;
+    }
     mWriter->selectDisplay(mPrimaryDisplay);
     mComposerClient->setPowerMode(mPrimaryDisplay, IComposerClient::PowerMode::ON);
     mComposerClient->setColorMode(mPrimaryDisplay, ColorMode::NATIVE);
diff --git a/neuralnetworks/1.0/IPreparedModel.hal b/neuralnetworks/1.0/IPreparedModel.hal
index 5320050..3dc3202 100644
--- a/neuralnetworks/1.0/IPreparedModel.hal
+++ b/neuralnetworks/1.0/IPreparedModel.hal
@@ -49,11 +49,14 @@
      * must not change the content of any of the data objects corresponding to
      * 'request' inputs.
      *
-     * If the prepared model was prepared from a model wherein all
-     * tensor operands have fully specified dimensions, and the inputs
-     * to the function are valid, then the execution should launch
-     * and complete successfully (ErrorStatus::NONE). There must be
-     * no failure unless the device itself is in a bad state.
+     * If the prepared model was prepared from a model wherein all tensor
+     * operands have fully specified dimensions, and the inputs to the function
+     * are valid, then:
+     * - the execution should launch successfully (ErrorStatus::NONE): There
+     *   must be no failure unless the device itself is in a bad state.
+     * - if at execution time every operation's input operands have legal
+     *   values, the execution should complete successfully (ErrorStatus::NONE):
+     *   There must be no failure unless the device itself is in a bad state.
      *
      * Multiple threads can call the execute function on the same IPreparedModel
      * object concurrently with different requests.
diff --git a/neuralnetworks/1.2/IPreparedModel.hal b/neuralnetworks/1.2/IPreparedModel.hal
index ba16334..f3508fe 100644
--- a/neuralnetworks/1.2/IPreparedModel.hal
+++ b/neuralnetworks/1.2/IPreparedModel.hal
@@ -54,11 +54,14 @@
      * must not change the content of any of the data objects corresponding to
      * 'request' inputs.
      *
-     * If the prepared model was prepared from a model wherein all
-     * tensor operands have fully specified dimensions, and the inputs
-     * to the function are valid, then the execution should launch
-     * and complete successfully (ErrorStatus::NONE). There must be
-     * no failure unless the device itself is in a bad state.
+     * If the prepared model was prepared from a model wherein all tensor
+     * operands have fully specified dimensions, and the inputs to the function
+     * are valid, then:
+     * - the execution should launch successfully (ErrorStatus::NONE): There
+     *   must be no failure unless the device itself is in a bad state.
+     * - if at execution time every operation's input operands have legal
+     *   values, the execution should complete successfully (ErrorStatus::NONE):
+     *   There must be no failure unless the device itself is in a bad state.
      *
      * Any number of calls to the execute, execute_1_2, and executeSynchronously
      * functions, in any combination, may be made concurrently, even on the same
@@ -105,8 +108,9 @@
      *
      * If the prepared model was prepared from a model wherein all tensor
      * operands have fully specified dimensions, and the inputs to the function
-     * are valid, then the execution should complete successfully
-     * (ErrorStatus::NONE). There must be no failure unless the device itself is
+     * are valid, and at execution time every operation's input operands have
+     * legal values, then the execution should complete successfully
+     * (ErrorStatus::NONE): There must be no failure unless the device itself is
      * in a bad state.
      *
      * Any number of calls to the execute, execute_1_2, and executeSynchronously
@@ -145,6 +149,13 @@
      * Configure a Burst object used to execute multiple inferences on a
      * prepared model in rapid succession.
      *
+     * If the prepared model was prepared from a model wherein all tensor
+     * operands have fully specified dimensions, and a valid serialized Request
+     * is sent to the Burst for execution, and at execution time every
+     * operation's input operands have legal values, then the execution should
+     * complete successfully (ErrorStatus::NONE): There must be no failure
+     * unless the device itself is in a bad state.
+     *
      * @param callback A callback object used to retrieve memory resources
      *                 corresponding to a unique identifiers ("slots").
      * @param requestChannel Used by the client to send a serialized Request to