doc: fix use of warning tags

Author: kwiersch

doc/programming_model/attributes_scratchpad.md

@@ -54,6 +54,7 @@ oneDNN supports two modes for handling scratchpads:
       memory is  shared across primitives. This mode minimizes the
       amount of memory needed for scratchpads at the application level. The global
       scratchpad is freed when all the primitives referencing it are destroyed.
+
       @warning
       In this mode, primitives can be created and executed in parallel but must
       be executed in the same thread they were created in. Executing primitives
@@ -65,6 +66,7 @@ oneDNN supports two modes for handling scratchpads:
       private scratchpad memory. The scratchpad memory is freed when its
       primitive is destroyed. This mode can lead to larger memory footprint when
       compared to ONEDNN_ENABLE_CONCURRENT_EXEC=OFF.
+
       @warning
       In this mode, primitives can be created in one thread and executed in
       another. Also, different primitives can be run concurrently.

examples/getting_started.cpp

@@ -1,5 +1,5 @@
 /*******************************************************************************
-* Copyright 2019-2020 Intel Corporation
+* Copyright 2019-2022 Intel Corporation
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
@@ -182,7 +182,8 @@ void getting_started_tutorial(engine::kind engine_kind) {
     /// To initialize the @ref dnnl::memory::desc, we need to pass:
     ///   1. The tensor's dimensions, **the semantic order** of which is
     ///      defined by **the primitive** that will use this memory
-    ///      (descriptor). Which leads to the following:
+    ///      (descriptor).
+    ///
     ///      @warning
     ///         Memory descriptors and objects are not aware of any meaning of
     ///         the data they describe or contain.
@@ -255,6 +256,7 @@ void getting_started_tutorial(engine::kind engine_kind) {
     /// as required by CNN primitives. To define the physical memory format,
     /// the strides are passed as the third parameter. Note that the order of
     /// the strides corresponds to the order of the tensor's dimensions.
+    ///
     /// @warning
     ///     Using the wrong order might lead to incorrect results or even a
     ///     crash.