Enable to build TF Lite for armv7-a , vfpv3
@ghchams Yes, TensorFlow Lite officially supports the VFPv3 architecture. TensorFlow Lite supports a wide range of devices, including smartphones, tablets, wearables, and embedded devices with ARM, NEON, and VFPv3. 
Please have a look at this for more information; https://github.com/tensorflow/tensorflow/tree/master/tensorflow/lite

Thank you! Thank you for your response : 
cross compiling Tflite with bazel gives the following Lib file : 
i used this command  bazel build --config=elinux_armhf -c opt //tensorflow/lite:libtensorflowlite.so 

 readelf -A bazel-bin/tensorflow/lite/libtensorflowlite.so
Attribute Section: aeabi
File Attributes
  Tag_CPU_name: "8.2-A"
  Tag_CPU_arch: v8
  Tag_CPU_arch_profile: Application
  Tag_ARM_ISA_use: Yes
  Tag_THUMB_ISA_use: Thumb-2
  Tag_FP_arch: FP for ARMv8
  Tag_Advanced_SIMD_arch: NEON for ARMv8.1
  Tag_ABI_PCS_wchar_t: 4
  Tag_ABI_FP_denormal: Needed
  Tag_ABI_FP_exceptions: Needed
  Tag_ABI_FP_number_model: IEEE 754
  Tag_ABI_align_needed: 8-byte
  Tag_ABI_enum_size: int
  Tag_ABI_VFP_args: VFP registers
  Tag_CPU_unaligned_access: v6
  Tag_FP_HP_extension: Allowed
  Tag_ABI_FP_16bit_format: IEEE 754
  Tag_MPextension_use: Allowed
  Tag_Virtualization_use: TrustZone and Virtualization Extensions

my target architecture is armv7 , could please explain? (i'm NOT using a raspberry PI) 
Thank you  Hi @ghchams 

Did you try CMAKE compilation for ARM ? Please check these [examples](https://www.tensorflow.org/lite/guide/build_cmake_pip#build_examples) for cmake build for various targets.

If the generated binaries are not compatible with your target, you need to use your own toolchain or provide custom build flags.  For example, you can try with ARMCC flag `-march=armv7-a -mfpu=neon-vfpv3` as mentioned [here](https://www.tensorflow.org/lite/guide/build_cmake_pip#how_to_use_a_custom_toolchain).

Thanks.  This issue is stale because it has been open for 7 days with no activity. It will be closed if no further activity occurs. Thank you. This issue was closed because it has been inactive for 7 days since being marked as stale. Please reopen if you'd like to work on this further. Are you satisfied with the resolution of your issue?
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### System information

- **Target architecture**: armv7 with vfpv3 
- **Target OS**: Debian 10 or Debian 12 
- **OS Platform and Distribution (e.g., Linux Ubuntu 22.04 LTS)**:
- **TensorFlow installed from (source or binary)**: source
- **Python version**:  trying to build for 3.7 or 3.11 
- **Bazel version (if compiling from source)**:  6.1.0
- **GCC/Compiler version (if compiling from source)**: 2.35 
- **CUDA/cuDNN version**: N/A (Building for ARM)
- **GPU model and memory**: N/A (Building for ARM)

I'm trying to build TensorFlow Lite for an ARMv7 architecture with vfpv3 support, but I've encountered multiple issues during the build process:
build/xnnpack/src/amalgam/gen/armsimd32.c:1832:48: error: expected ';' before '__sel'
     const int16x2_t vmultiplier02 = (int16x2_t) __sel((uint8x4_t) vnegative_multiplier, (uint8x4_t) vpositive_multiplier);

When attempting to cross-compile using the command:
bazel build --config=elinux_armhf -c opt //tensorflow/lite:libtensorflowlite.so
the resultant library is tailored for the armv8 ABI with vfpv4, even though I specified flags for vfpv3.

Attempting to build a TensorFlow Lite wheel with the following command:
CI_DOCKER_EXTRA_PARAMS="-e CUSTOM_BAZEL_FLAGS=--copt=-mfpu=neon-vfpv3 -e CI_BUILD_PYTHON=python3 -e CROSSTOOL_PYTHON_INCLUDE_PATH=/usr/include/python3.6" \
tensorflow/tools/ci_build/ci_build.sh PI-PYTHON3 tensorflow/lite/tools/pip_package/build_pip_package_with_bazel.sh armhf
resulted in multiple errors.

Furthermore, referencing a previous issue (#39957) did not offer a solution, as it pointed towards older packages and was based on an older version of Ubuntu. Additionally, the PI-Python3 file mentioned in the issue seems to be missing from the TensorFlow repository.

Does TensorFlow Lite officially support the vfpv3 architecture?
Is it feasible to build a TensorFlow Lite Python wheel that's compatible with armv7 with vfpv3?
