diff --git a/neuralnetworks/1.3/IPreparedModel.hal b/neuralnetworks/1.3/IPreparedModel.hal
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+/*
+ * 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.
+ */
+
+package android.hardware.neuralnetworks@1.3;
+
+import @1.0::ErrorStatus;
+import @1.0::Request;
+import @1.2::MeasureTiming;
+import @1.2::IExecutionCallback;
+import @1.2::IPreparedModel;
+
+/**
+ * IPreparedModel describes a model that has been prepared for execution and
+ * is used to launch executions.
+ */
+interface IPreparedModel extends @1.2::IPreparedModel {
+    /**
+     * Launches an asynchronous execution on a prepared model.
+     *
+     * The execution is performed asynchronously with respect to the caller.
+     * execute_1_3 must verify the inputs to the function are correct. If there is
+     * an error, execute_1_3 must immediately invoke the callback with the
+     * appropriate ErrorStatus value, then return with the same ErrorStatus. If
+     * the inputs to the function are valid and there is no error, execute_1_3 must
+     * launch an asynchronous task to perform the execution in the background,
+     * and immediately return with ErrorStatus::NONE. If the asynchronous task
+     * fails to launch, execute_1_3 must immediately invoke the callback with
+     * ErrorStatus::GENERAL_FAILURE, then return with
+     * ErrorStatus::GENERAL_FAILURE.
+     *
+     * When the asynchronous task has finished its execution, it must
+     * immediately invoke the callback object provided as an input to the
+     * execute_1_3 function. This callback must be provided with the ErrorStatus of
+     * the execution.
+     *
+     * If the launch is successful, the caller must not change the content of
+     * any data object referenced by 'request' (described by the
+     * {@link @1.0::DataLocation} of a {@link @1.0::RequestArgument}) until the
+     * asynchronous task has invoked the callback object. The asynchronous task
+     * 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 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, execute_1_3, and executeSynchronously
+     * functions, in any combination, may be made concurrently, even on the same
+     * IPreparedModel object.
+     *
+     * @param request The input and output information on which the prepared
+     *                model is to be executed.
+     * @param measure Specifies whether or not to measure duration of the execution.
+     *                The duration runs from the time the driver sees the call
+     *                to the execute_1_3 function to the time the driver invokes
+     *                the callback.
+     * @param callback A callback object used to return the error status of
+     *                 the execution. The callback object's notify function must
+     *                 be called exactly once, even if the execution was
+     *                 unsuccessful.
+     * @return status Error status of the call, must be:
+     *                - NONE if task is successfully launched
+     *                - DEVICE_UNAVAILABLE if driver is offline or busy
+     *                - GENERAL_FAILURE if there is an unspecified error
+     *                - OUTPUT_INSUFFICIENT_SIZE if provided output buffer is
+     *                  not large enough to store the resultant values
+     *                - INVALID_ARGUMENT if one of the input arguments is
+     *                  invalid
+     */
+    execute_1_3(Request request, MeasureTiming measure, IExecutionCallback callback)
+        generates (ErrorStatus status);
+};