Comments (3)
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Hi @yanghaiping1993 , thanks for getting in touch.
Were those library files i.e. libarmnn.so/libarmnnTfParser.so compiled in 64 bit by any chance? That could explain the incompatibility errors you are seeing above.
I see you are attepting to compile mnist_tf.cpp ( -m32 ) in 32bit, so perhaps that is the issue.
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@SaoirseARM it is 32 bit lib, and the error is made by choosing wrong compiler,and I choose the arm-linux-androideabi-clang/clang++,reedit the Makefile,it works well on arm32 device (android OS) if I compile with cmake command:-DARMCOMPUTENEON=0 -DARMCOMPUTECL=0. BUT, if I compile with cmake command:-DARMCOMPUTENEON=1 -DARMCOMPUTECL=0, the log are showed as:
Running 542 test cases...
unknow location(0): fatal error: in "NeonTimerInstrument/NeonTimerMeasure": std::bad_alloc: std::bad_alloc
/armnn-devenv/armnn/src/armnn/test/NeonTimerTest.cpp(35): last checkpoint: "NeonTimerMeasure" entry
*** 1 failuer is detected in the test module "UnitTests"
My android device is an armv7a 32 bit cpu, and RAM is 2GB, what can cause that error?
from ml-examples.
Related Issues (20)
- Error in compile tflu-kws-cortex-m/kws_cortex_m HOT 2
- Undefined reference to the main error
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- Retraining of the KWS model HOT 19
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- Receive data with Putty
- make -f tensorflow/lite/micro/tools/make/Makefile TAGS="DS_CNN Simple_KWS_Test" generate_kws_cortex_m_mbed_project HOT 4
- Error in compile tflu-kws-cortex-m/kws_cortex_m HOT 3
- couldn't retrieve the checkpoints HOT 4
- 'RaggedTensor' + size mismatch HOT 1
- Error with nn_quantiser.py HOT 1
- Freez.py for tensrflow2.5 versin HOT 3
- Printing predictions HOT 1
- custom keyword - transfer learning HOT 1
- changing wanted word to only one word - error HOT 1
- predicted classes - custom dataset HOT 3
- Integration of Tensorflow Lite and CMSIS-NN
- Integration of Tensorflow lite and CMSIS-NN HOT 3
- using custom dataset -- Data too short when trying to read string
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