diff options
Diffstat (limited to 'docs/sections/building.md')
| -rw-r--r-- | docs/sections/building.md | 24 |
1 files changed, 0 insertions, 24 deletions
diff --git a/docs/sections/building.md b/docs/sections/building.md index c39cabc..5fdadb0 100644 --- a/docs/sections/building.md +++ b/docs/sections/building.md @@ -234,16 +234,6 @@ chosen configuration. - `TENSORFLOW_LITE_MICRO_CLEAN_DOWNLOADS`: Optional parameter to enable wiping out `TPIP` downloads from TensorFlow source tree prior to each build. Disabled by default. -- `ARMCLANG_DEBUG_DWARF_LEVEL`: When the CMake build type is specified as `Debug` and when the `armclang` toolchain is - being used to build for a *Cortex-M* CPU target, this optional argument can be set to specify the `DWARF` format. - - By default, this is set to 4 and is synonymous with passing `-g` flag to the compiler. This is compatible with Arm - DS and other tools which can interpret the latest DWARF format. To allow debugging using the Model Debugger from Arm - Fast Model Tools Suite, this argument can be used to pass DWARF format version as "3". - - > **Note:** This option is only available when the CMake project is configured with the `-DCMAKE_BUILD_TYPE=Debug` - > argument. Also, the same dwarf format is used for building TensorFlow Lite Micro library. - For details on the specific use-case build options, follow the instructions in the use-case specific documentation. Also, when setting any of the CMake configuration parameters that expect a directory, or file, path, **use absolute @@ -452,20 +442,6 @@ cmake \ ml-embedded-evaluation-kit ``` -#### Working with model debugger from Arm Fast Model Tools - -To configure a build that can be debugged using a tool that only supports the `DWARF format 3`, such as *Modeldebugger*, -you can use: - -```commandline -cmake .. \ - -DTARGET_PLATFORM=mps3 \ - -DTARGET_SUBSYSTEM=sse-300 \ - -DCMAKE_TOOLCHAIN_FILE=scripts/cmake/toolchains/bare-metal-armclang.cmake \ - -DCMAKE_BUILD_TYPE=Debug \ - -DARMCLANG_DEBUG_DWARF_LEVEL=3 -``` - #### Configuring with custom TPIP dependencies If the TensorFlow source tree is not in its default expected location, set the path using `TENSORFLOW_SRC_PATH`. |