diff --git a/.files b/.files
index 065335f..58b5f80 100644
Binary files a/.files and b/.files differ
diff --git a/.rev b/.rev
index 99f2a86..160a4e8 100644
--- a/.rev
+++ b/.rev
@@ -148,4 +148,31 @@
</comment>
<requestid>906631</requestid>
</revision>
+ <revision rev="18" vrev="1">
+ <srcmd5>218d61f6c5eaf2573a0171450d53bf70</srcmd5>
+ <version>21.08</version>
+ <time>1631221657</time>
+ <user>dimstar_suse</user>
+ <comment>- Update to 21.08:
+ * Changelog: https://github.com/ARM-software/armnn/releases/tag/v21.08
+ * Main changes:
+ - new capabilities and improve performance:
+ * Added the ability to import protected DMA Buffers and
+ allow Arm NN to run inferences that are in Protected GPU Memory.
+ As well as providing Custom Memory Allocator which supports
+ importing malloc, Dma_buf and protected Dma buffers.
+ * Users with multi core NPUs has been given the ability to pin
+ inferences to selected cores giving them the ability to balance
+ parallel workloads across the NPU and increase throughput.
+ * Boost has been completely removed from the code base making
+ Arm NN easier to integrate into other software stacks.
+ * Added support for non-constant weights and biases on
+ FullyConnected which lay the groundwork for supporting more models.
+ * More operators supported on Arm NN, TfLite Parser, TfLite
+ Delegate and Android NNAPI driver.
+- Drop upstream patch:
+ * armnn-fix-include.patch
+</comment>
+ <requestid>917697</requestid>
+ </revision>
</revisionlist>
diff --git a/armnn-21.05.tar.gz b/armnn-21.05.tar.gz
deleted file mode 120000
index 5c50a3e..0000000
--- a/armnn-21.05.tar.gz
+++ /dev/null
@@ -1 +0,0 @@
-/ipfs/bafybeiciurfwzsinbvucbl7o5hog6gu7vy5juuj36l5maycmq5r4tntb5i
\ No newline at end of file
diff --git a/armnn-21.08.tar.gz b/armnn-21.08.tar.gz
new file mode 120000
index 0000000..c274c17
--- /dev/null
+++ b/armnn-21.08.tar.gz
@@ -0,0 +1 @@
+/ipfs/bafybeieyydreztp72h5jqxojusg36ebyrx3hs4kuzsht3gfiv7sohmrqiq
\ No newline at end of file
diff --git a/armnn-fix-include.patch b/armnn-fix-include.patch
deleted file mode 100644
index 84feb7b..0000000
--- a/armnn-fix-include.patch
+++ /dev/null
@@ -1,11 +0,0 @@
---- armnn-21.05/src/backends/cl/ClImportTensorHandle.hpp.orig 2021-05-21 11:52:42.847054405 +0000
-+++ armnn-21.05/src/backends/cl/ClImportTensorHandle.hpp 2021-05-21 11:52:52.676788673 +0000
-@@ -19,7 +19,7 @@
- #include <arm_compute/core/TensorShape.h>
- #include <arm_compute/core/Coordinates.h>
-
--#include <include/CL/cl_ext.h>
-+#include <CL/cl_ext.h>
- #include <arm_compute/core/CL/CLKernelLibrary.h>
-
- namespace armnn
diff --git a/armnn.changes b/armnn.changes
index f5a2810..4a34cd0 100644
--- a/armnn.changes
+++ b/armnn.changes
@@ -1,4 +1,27 @@
-------------------------------------------------------------------
+Thu Sep 9 08:04:50 UTC 2021 - Guillaume GARDET <guillaume.gardet@opensuse.org>
+
+- Update to 21.08:
+ * Changelog: https://github.com/ARM-software/armnn/releases/tag/v21.08
+ * Main changes:
+ - new capabilities and improve performance:
+ * Added the ability to import protected DMA Buffers and
+ allow Arm NN to run inferences that are in Protected GPU Memory.
+ As well as providing Custom Memory Allocator which supports
+ importing malloc, Dma_buf and protected Dma buffers.
+ * Users with multi core NPUs has been given the ability to pin
+ inferences to selected cores giving them the ability to balance
+ parallel workloads across the NPU and increase throughput.
+ * Boost has been completely removed from the code base making
+ Arm NN easier to integrate into other software stacks.
+ * Added support for non-constant weights and biases on
+ FullyConnected which lay the groundwork for supporting more models.
+ * More operators supported on Arm NN, TfLite Parser, TfLite
+ Delegate and Android NNAPI driver.
+- Drop upstream patch:
+ * armnn-fix-include.patch
+
+-------------------------------------------------------------------
Fri Jul 16 08:23:43 UTC 2021 - Guillaume GARDET <guillaume.gardet@opensuse.org>
- Add '-Wno-error=stringop-overread' to workaround build error
diff --git a/armnn.spec b/armnn.spec
index 8f45af8..d400260 100644
--- a/armnn.spec
+++ b/armnn.spec
@@ -1,5 +1,5 @@
#
-# spec file for package armnn%{?package_suffix}
+# spec file
#
# Copyright (c) 2021 SUSE LLC
#
@@ -64,12 +64,10 @@
%bcond_with armnn_onnx
%endif
%define version_major 21
-%define version_minor 05
+%define version_minor 08
%define version_lib 25
%define version_lib_tfliteparser 24
%define version_lib_onnxparser 24
-# Do not package ArmnnConverter, by default
-%bcond_with armnn_tools
Name: armnn%{?package_suffix}
Version: %{version_major}.%{version_minor}
Release: 0
@@ -81,8 +79,6 @@ Source0: https://github.com/ARM-software/armnn/archive/v%{version}.tar.gz
Source1: armnn-rpmlintrc
# PATCH-FIX-UPSTREAM - https://github.com/ARM-software/armnn/issues/499
Patch1: 96beb97.diff
-# PATCH-FIX-UPSTREAM - https://github.com/ARM-software/armnn/issues/545
-Patch2: armnn-fix-include.patch
# PATCHES to add downstream ArmnnExamples binary - https://layers.openembedded.org/layerindex/recipe/87610/
Patch200: 0003-add-more-test-command-line-arguments.patch
Patch201: 0005-add-armnn-mobilenet-test-example.patch
@@ -358,7 +354,6 @@ This package contains the libarmnnOnnxParser library from armnn.
%patch1 -p1
%endif
%endif
-%patch2 -p1
%if %{with armnn_extra_tests}
%patch200 -p1
%patch201 -p1
@@ -469,10 +464,6 @@ find ./build/tests -maxdepth 1 -type f -executable -exec cp $CP_ARGS {} %{buildr
%if %{with armnn_flatbuffers}
# Install Sample app
cp $CP_ARGS ./build/samples/SimpleSample %{buildroot}%{_bindir}
-%if %{with armnn_tools}
-# Install ArmNNConverter
-cp $CP_ARGS ./build/ArmnnConverter %{buildroot}%{_bindir}
-%endif
%endif
# Drop static libs - https://github.com/ARM-software/armnn/issues/514
rm -f %{buildroot}%{_libdir}/*.a
@@ -517,9 +508,7 @@ LD_LIBRARY_PATH="$(pwd)/build/" \
%if %{with armnn_tests}
%{_bindir}/ExecuteNetwork
%if %{with armnn_flatbuffers}
-%if %{with armnn_tools}
%{_bindir}/ArmnnConverter
-%endif
%{_bindir}/TfLite*-Armnn
%endif
%if %{with armnn_onnx}