Ensure that the files you are using match the requirements of the model you are using. Ensure that cmake parameters are set accordingly. More information on these cmake parameters is detailed in their separate sections.
Note: Preprocessing of the files can also affect the inference result, such as the rescaling and padding operations performed for image classification.
Ensure that your model is in a fully quantized .tflite file format, either uint8 or int8, and that it has successfully been run through the Vela compiler.
Also, please check that the cmake parameters used match the input requirements of your new model.
Note: The Vela tool is not available within this software project. It is a separate Python tool that is available from: https://pypi.org/project/ethos-u-vela/. The source code is hosted on https://review.mlplatform.org/plugins/gitiles/ml/ethos-u/ethos-u-vela/.
If you see the following error message when an inference is executed:
NPU config mismatch: npu.macs_per_cc=8 optimizer.macs_per_cc=7 NPU config mismatch: npu.shram_size=48 optimizer.shram_size=24 ERROR - Invoke failed. ERROR - Inference failed.
It shows that the configuration of the Vela compiled .tflite file doesn't match the number of MACs units on the FVP.
The Vela configuration parameter accelerator-config used for producing the .tflite file that is used while building the application should match the MACs configuration that the FVP is emulating. For example, if the accelerator-config from the Vela command was ethos-u55-128, the FVP should be emulating the 128 MACs configuration of the Ethos-U55 block(default FVP configuration). If the accelerator-config used was ethos-u55-256, the FVP must be executed with additional command line parameter to instruct it to emulate the 256 MACs configuration instead.
The deploying on an FVP emulating MPS3 page provides guidance on how to instruct the FVP to change the number of MACs units.
Note that when the FVP is launched and the application starts executing, various parameters about the system are logged over UART. These include the MACs/cc configuration of the FVP.
INFO - MPS3 core clock has been set to: 32000000Hz INFO - CPU ID: 0x410fd220 INFO - CPU: Cortex-M55 r0p0 INFO - Ethos-U55 device initialised INFO - Ethos-U55 version info: INFO - Arch: v1.0.6 INFO - Driver: v0.16.0 INFO - MACs/cc: 128 INFO - Cmd stream: v0 INFO - Target system design: Arm Corstone-300 - AN552 INFO - Arm Corstone-300 - AN552 platform initialised INFO - ARM ML Embedded Evaluation Kit
During Vela installation, part of the package is compiled and requires libpython3. If the system lacks this dependency the following error will occur:
x86_64-linux-gnu-gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DNPY_NO_DEPRECATED_API=NPY_1_9_API_VERSION -I/venv/include -I/usr/include/python3.8 -I/venv/lib/python3.8/site-packages/numpy/core/include -c ethosu/mlw_codec/mlw_codecmodule.c -o build/temp.linux-x86_64-3.8/ethosu/mlw_codec/mlw_codecmodule.o ethosu/mlw_codec/mlw_codecmodule.c:20:10: fatal error: Python.h: No such file or directory 20 | #include <Python.h> | ^~~~~~~~~~ compilation terminated. error: command 'x86_64-linux-gnu-gcc' failed with exit status 1 ---------------------------------------- ERROR: Command errored out with exit status 1: /venv/bin/python -u -c 'import sys, setuptools, tokenize; sys.argv[0] = '"'"'/tmp/pip-install-4rmoh7va/ethos-u-vela/setup.py'"'"' ; __file__='"'"'/tmp/pip-install-4rmoh7va/ethos-u-vela/setup.py'"'"';f=getattr(tokenize, '"'"'open'"'"', open) (__file__);code=f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, __file__, '"'"'exec'"'"'))' install --record /tmp/pip-record-jidxiokn/install-record.txt --single-version-externally-managed --compile --install-headers /venv/include/site/python3.8/ethos-u-vela Check the logs for full command output.
To solve this issue install libpython3 on the system.
If you see following errors when cloning the repository:
fatal: unable to access 'https://review.mlplatform.org/ml/ethos-u/ml-embedded-evaluation-kit/': server certificate verification failed. CAfile: /etc/ssl/certs/ca-certificates.crt CRLfile: none
We suggest to update to the latest common CA certificates:
sudo apt-get update sudo apt-get install ca-certificates
fatal: unable to access 'https://review.mlplatform.org/ml/ethos-u/ml-embedded-evaluation-kit/': error:06FFF089:digital envelope routines:CRYPTO_internal:bad key length
We suggest to export the CURL_SSL_BACKEND variable as secure-transport:
export CURL_SSL_BACKEND="secure-transport"
Next section of the documentation: Appendix.