Removes the requirements.txt from the training directory of the
magic wand sample as it is causing issues in CI. Updates README.md
to explicitly state the Python packages listed in requirements.txt.
Signed-off-by: Lauren Murphy <lauren.murphy@intel.com>
Changes CMakeLists.txt in TensorFlow samples from explicit file
list to a GLOB capturing src/* to make TensorFlow samples consistent
with other samples in tree.
Signed-off-by: Lauren Murphy <lauren.murphy@intel.com>
Fixes documentation for samples that incorrectly state that TensorFlow
library requires the -fno-threadsafe-statics flag to compile.
Signed-off-by: Lauren Murphy <lauren.murphy@intel.com>
Adds no-threadsafe-statics to compiler flags for gcc and arcmwdt.
The flag is required to compile the samples - the module can compile
without it.
Signed-off-by: Lauren Murphy <lauren.murphy@intel.com>
Fix index.rst and README.rst to put TensorFlow samples under
External Module samples next to Nanopb sample to avoid 4-level
indentation in the sidebar.
Signed-off-by: Lauren Murphy <lauren.murphy@intel.com>
A bug was introduced when encoding/decoding moved to separate
functions where sizeof no longer had the correct argument.
The size of the encode buffer is passed to the encode function.
Signed-off-by: Pieter De Gendt <pieter.degendt@basalte.be>
Add the nanopb library and generator tools as a module.
Nanopb is a small code-size Protocol Buffers implementation in ansi C.
It is especially suitable for use in microcontrollers,
but fits any memory restricted system.
Nanopb home: https://jpa.kapsi.fi/nanopb/
Signed-off-by: Pieter De Gendt <pieter.degendt@basalte.be>
