[ Bug Fix ] fix the error in FP32 only case
authorjijoong.moon <jijoong.moon@samsung.com>
Thu, 10 Aug 2023 12:51:57 +0000 (21:51 +0900)
committerJijoong Moon <jijoong.moon@samsung.com>
Mon, 21 Aug 2023 06:29:23 +0000 (15:29 +0900)
commit6858f349585a8cbfa31d202aaa619836d620f7ba
tree5de886b2d535e72ea8250976cd286c4f493bd6f8
parent3381490addbb00fc6fab2d6d23364ed13eba1d4b
[ Bug Fix ] fix the error in FP32 only case

There is configuration bugs for the FP32 only case.
This PR fixes the configuration and some of the ENABLE_FP16 compiler
macro errors.

Resolves:

**Self evaluation:**
1. Build test:  [X]Passed [ ]Failed [ ]Skipped
2. Run test:  [X]Passed [ ]Failed [ ]Skipped

Signed-off-by: jijoong.moon <jijoong.moon@samsung.com>
25 files changed:
Applications/ReinforcementLearning/DeepQ/jni/main.cpp
Applications/TransferLearning/CIFAR_Classification/jni/main.cpp
api/ccapi/include/tensor_dim.h
debian/control
jni/Android.mk.in
jni/meson.build
meson.build
meson_options.txt
nntrainer/layers/attention_layer.cpp
nntrainer/layers/layer_context.cpp
nntrainer/layers/loss/cross_entropy_softmax_loss_layer.cpp
nntrainer/models/#neuralnet.cpp# [deleted file]
nntrainer/models/#neuralnet.h# [deleted file]
nntrainer/tensor/blas_interface.cpp
nntrainer/tensor/blas_neon.cpp
nntrainer/tensor/blas_neon.h
nntrainer/tensor/tensor.cpp
nntrainer/tensor/tensor.h
nntrainer/utils/node_exporter.cpp
test/nntrainer_test_util.cpp
test/unittest/layers/layers_golden_tests.cpp
test/unittest/layers/unittest_layers_attention.cpp
test/unittest/layers/unittest_layers_fully_connected.cpp
test/unittest/layers/unittest_layers_nnstreamer.cpp
tools/package_android.sh