aboutsummaryrefslogtreecommitdiff
path: root/delegate/cmake/Modules
diff options
context:
space:
mode:
authorRyan OShea <ryan.oshea3@arm.com>2023-03-07 11:44:23 +0000
committerryan.oshea3 <ryan.oshea3@arm.com>2023-03-22 13:12:55 +0000
commit238ecd9279f08a1b05189e03ffa73a9201b1c0ce (patch)
tree942386ab532039fb423ac951f375c484352faece /delegate/cmake/Modules
parent3ec3077b4eaedcc0c20ab5774bdbe365da541445 (diff)
downloadarmnn-238ecd9279f08a1b05189e03ffa73a9201b1c0ce.tar.gz
IVGCVSW-7526 Upgrade ArmNN to Tensorflow 2.12
When creating a flatbuffers model, we need to provide an empty buffer 0 that is reserved by tensorflow. When creating empty buffers for inputs and outputs we can not pass in an empty vector, or tflite will assume that we know how many bytes to allocate in advance. Instead we need to only pass in the builder. * Update libraries in FindTfLite.cmake * Add nullptr to delegate struct for OpaqueDelegateBuilder * Fix issue in unit tests where Flatbuffers model was not being parsed by tflite * Tensorflow 2.12 now includes C++ 17 features. Update our cmake build to require a compiler to support these features. * Change minimum cmake in Arm NN to 3.7 as that's the minimum for the delegate build. Signed-off-by: Ryan OShea <ryan.oshea3@arm.com> Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com> Signed-off-by: Colm Donelan <colm.donelan@arm.com> Change-Id: I7d15b196b8c59b1914f8fc1c4c2f8960630c069c
Diffstat (limited to 'delegate/cmake/Modules')
-rw-r--r--delegate/cmake/Modules/FindTfLite.cmake12
1 files changed, 6 insertions, 6 deletions
diff --git a/delegate/cmake/Modules/FindTfLite.cmake b/delegate/cmake/Modules/FindTfLite.cmake
index 338cde1697..634aaea511 100644
--- a/delegate/cmake/Modules/FindTfLite.cmake
+++ b/delegate/cmake/Modules/FindTfLite.cmake
@@ -1,5 +1,5 @@
#
-# Copyright © 2020 Arm Ltd and Contributors. All rights reserved.
+# Copyright © 2020, 2023 Arm Ltd and Contributors. All rights reserved.
# SPDX-License-Identifier: MIT
#
@@ -38,8 +38,6 @@ if (TfLite_LIB MATCHES .a$)
PATH ${TFLITE_LIB_ROOT}/_deps/flatbuffers-build)
find_library(TfLite_cpuinfo_LIB "libcpuinfo.a" PATH
${TFLITE_LIB_ROOT}/_deps/cpuinfo-build)
- find_library(TfLite_clog_LIB "libclog.a" PATH
- ${TFLITE_LIB_ROOT}/_deps/clog-build)
# All remaining libraries are part of libruy.
find_library(TfLite_ruy_allocator_LIB "libruy_allocator.a" PATH
@@ -100,6 +98,8 @@ if (TfLite_LIB MATCHES .a$)
${TFLITE_LIB_ROOT}/_deps/ruy-build/ruy)
find_library(TfLite_ruy_profiler_LIB "libruy_profiler_instrumentation.a" PATH
${TFLITE_LIB_ROOT}/_deps/ruy-build/ruy/profiler)
+ find_library(TfLite_pthread_pool_LIB "libpthreadpool.a" PATH
+ ${TFLITE_LIB_ROOT}/pthreadpool)
## Set TFLITE_FOUND if all libraries are satisfied for static lib
find_package_handle_standard_args(TfLite DEFAULT_MSG TfLite_LIB TfLite_abseilstrings_LIB TfLite_farmhash_LIB TfLite_fftsg_LIB TfLite_fftsg2d_LIB
@@ -110,8 +110,8 @@ if (TfLite_LIB MATCHES .a$)
TfLite_ruy_kernel_avx2_fma_LIB TfLite_ruy_kernel_avx512_LIB TfLite_ruy_kernel_avx_LIB TfLite_ruy_pack_arm_LIB
TfLite_ruy_pack_avx2_fma_LIB TfLite_ruy_pack_avx512_LIB TfLite_ruy_pack_avx_LIB TfLite_ruy_prepacked_cache_LIB
TfLite_ruy_prepare_packed_matrices_LIB TfLite_ruy_system_aligned_alloc_LIB TfLite_ruy_threadpool_LIB
- TfLite_ruy_trmul_LIB TfLite_ruy_tune_LIB TfLite_ruy_wait_LIB TfLite_ruy_profiler_LIB TfLite_cpuinfo_LIB TfLite_clog_LIB
- TfLite_abseil_synchronization_LIB)
+ TfLite_ruy_trmul_LIB TfLite_ruy_tune_LIB TfLite_ruy_wait_LIB TfLite_ruy_profiler_LIB TfLite_cpuinfo_LIB
+ TfLite_abseil_synchronization_LIB TfLite_pthread_pool_LIB)
# Set external variables for usage in CMakeLists.txt
if (TFLITE_FOUND)
# WARNING! The order of these libraries is critical. Moving them
@@ -126,7 +126,7 @@ if (TfLite_LIB MATCHES .a$)
${TfLite_ruy_pack_avx2_fma_LIB} ${TfLite_ruy_pack_avx512_LIB} ${TfLite_ruy_pack_avx_LIB} ${TfLite_ruy_prepacked_cache_LIB}
${TfLite_ruy_prepare_packed_matrices_LIB} ${TfLite_ruy_system_aligned_alloc_LIB}
${TfLite_ruy_tune_LIB} ${TfLite_ruy_wait_LIB} ${TfLite_ruy_profiler_LIB}
- ${TfLite_cpuinfo_LIB} ${TfLite_clog_LIB} ${TfLite_abseil_synchronization_LIB})
+ ${TfLite_cpuinfo_LIB} ${TfLite_abseil_synchronization_LIB} ${TfLite_pthread_pool_LIB})
endif ()
elseif (TfLite_LIB MATCHES .so$)
message("-- Dynamic tensorflow lite library found, using for ArmNN build")