Since python3-numpy: update 1.18.5 -> 1.19.0, there is
a  GCC 10.1 compile error. Backport a patch from upstream
to fix it [1]

[1] https://github.com/tensorflow/tensorflow/pull/40654

Signed-off-by: Hongxu Jia <hongxu.jia@windriver.com>

The python3-core provides /usr/bin/python3 which required by
python3 scripts of tensorboard/tensorflow
Signed-off-by: Hongxu Jia <hongxu.jia@windriver.com>

Signed-off-by: Hongxu Jia <hongxu.jia@windriver.com>

The python3 script contains build path:
...
'''exec' tmp-glibc/work/corei7-64-wrs-linux/tensorflow/1.13.0-r0/
recipe-sysroot-native/usr/bin/nativepython3 "$0" "$@"
...
Improve sed operation to match nativepython3
Signed-off-by: Hongxu Jia <hongxu.jia@windriver.com>

If [batch mode is] set, Bazel will be run as just a client process
without a server, instead of in the standard client/server mode. [1]

It is not necessary to shutdown a bazel server in batch mode.

[1] https://docs.bazel.build/versions/master/user-manual.html

Signed-off-by: Hongxu Jia <hongxu.jia@windriver.com>

Move the duplicated part of tensorflow and tensorflow-native to
tensorflow.inc
Signed-off-by: Hongxu Jia <hongxu.jia@windriver.com>

Since Yocto has gcc9, the ice fix is not necessary, drop it
Signed-off-by: Hongxu Jia <hongxu.jia@windriver.com>

Previously, we workaround tensorflow-native ice failure while building
from source with host gcc 7.3.1, and tensorflow build requires the same
fix since bazel cross compiling will do the native build at the same time.
Signed-off-by: Hongxu Jia <hongxu.jia@windriver.com>

On opensuse151_64, the gcc lib include dir is /usr/lib64/gcc/ rather than
/usr/lib/gcc/, which caused failure
...
|tensorflow/1.13.0-r0/bazel/output_base/external/nasm/BUILD.bazel:8:1:
undeclared inclusion(s) in rule '@nasm//:nasm':
|this rule is missing dependency declarations for the following
files included by 'external/nasm/x86/regs.c':
|  '/usr/lib64/gcc/x86_64-suse-linux/7/include-fixed/limits.h'
|  '/usr/lib64/gcc/x86_64-suse-linux/7/include-fixed/syslimits.h'
|  '/usr/lib64/gcc/x86_64-suse-linux/7/include/stddef.h'
|  '/usr/lib64/gcc/x86_64-suse-linux/7/include/stdarg.h'
...

Add /usr/lib64/gcc/ to cxx_builtin_include_directory
Signed-off-by: Hongxu Jia <hongxu.jia@windriver.com>

Tensorflow does not work on some arch, add bbclass to skip
all involved recipes.
Signed-off-by: Hongxu Jia <hongxu.jia@windriver.com>

The root cause is gcc ice issue:
https://gcc.gnu.org/bugzilla/show_bug.cgi?id=89752

But we could not patch on native gcc,so try to workaround,
Refer: https://github.com/tensorflow/tensorflow/issues/25323

Signed-off-by: Hongxu Jia <hongxu.jia@windriver.com>

Backport patch to fix grpc conflicts issue
Signed-off-by: Hongxu Jia <hongxu.jia@windriver.com>

We met the following error with python 3.8.

  TypeError: _logger_find_caller() takes from 0 to 1 positional arguments but 2 were given

Backport a patch to fix this issue.
Signed-off-by: Chen Qi <Qi.Chen@windriver.com>

Fix the following compliation error.

  error: cannot convert 'std::nullptr_t' to 'Py_ssize_t {aka long int}' in initialization

This patch references: https://github.com/tensorflow/tensorflow/issues/34197

Signed-off-by: Chen Qi <Qi.Chen@windriver.com>

...
|ERROR: tensorflow-1.13.0-r0 do_package: tensorflow: Multiple shlib
providers for libtensorflow_framework.so: tensorflow, tensorflow (used
by files: tmp-glibc/work/core2-64-wrs-linux/tensorflow/1.13.0-r0/packa
ges-split/tensorflow/usr/lib64/python3.7/site-packages/tensorflow/contrib/
image/python/ops/_distort_image_ops.so)
...
Signed-off-by: Hongxu Jia <hongxu.jia@windriver.com>

Move binary bazel from ${S} to ${WORKDIR}/bazel
Signed-off-by: Hongxu Jia <hongxu.jia@windriver.com>

Since Define gettid() only for glibc < 2.30, glibc 2.30 has added
this API, so let us use that when possible
Signed-off-by: Hongxu Jia <hongxu.jia@windriver.com>

Depends on bazel-native has already added while inherit bbclass bazel,
protobuf and protobuf-native is not required at build time
Signed-off-by: Hongxu Jia <hongxu.jia@windriver.com>

The tensorboard needs to have dependency of util-linux-native as recipe is
using rev utility which is only available in util-linux-native. Have
dependency on bazel and protobuf as well to avoid further issues.

Suggested-by: aakbar5 <https://github.com/aakbar5

>
Signed-off-by: Hongxu Jia <hongxu.jia@windriver.com>

Signed-off-by: Hongxu Jia <hongxu.jia@windriver.com>

Run 32-bit tensorflow on qemux86-64, it broke at CheckFeatureOrDie,
use warning to workaround.
Signed-off-by: Hongxu Jia <hongxu.jia@windriver.com>

Since customize for Yocto, command test is useless, remove them.
Signed-off-by: Hongxu Jia <hongxu.jia@windriver.com>

While do_configure failed for other reason and rerun again,
pyconfig-target.h will be duplicated with pyconfig.h:
...
pyconfig-target.h:2:29: error: #include nested too deeply
...

Test the existence of pyconfig-target.h before moving
could workaround the issue.
Signed-off-by: Hongxu Jia <hongxu.jia@windriver.com>

- To enable modular op registration support, which non-monolithic build
  defines `framework_shared_object=true'

- The non-monolithic build of TensorFlow does not support
  `-Wl,--as-needed' and explicitly set `-Wl,--no-as-needed'
Signed-off-by: Hongxu Jia <hongxu.jia@windriver.com>

Signed-off-by: Hongxu Jia <hongxu.jia@windriver.com>

Signed-off-by: Hongxu Jia <hongxu.jia@windriver.com>

Signed-off-by: Hongxu Jia <hongxu.jia@windriver.com>

While building with '-march=nehalem' or '-msse4.2', it failed with
'NEON_2_SSE.h' file not found.

Refer https://github.com/tensorflow/tensorflow/issues/23440

, define
marco TF_LITE_DISABLE_X86_NEON to workaround it.
Signed-off-by: Hongxu Jia <hongxu.jia@windriver.com>

The var-PYTHON_SITEPACKAGES_DIR is used for target, correct with native.
Signed-off-by: Hongxu Jia <hongxu.jia@windriver.com>

Since [b1a6aa3 fix `Failed to extract install_base_key'
while running bazel], revert [a81b50e build tensorflow-native
and tensorflow in order]
Signed-off-by: Hongxu Jia <hongxu.jia@windriver.com>

1. The problem is the binary is edited after by setting the rpath. Which might
mess up with zip data, you might want to run zip -A on Bazel. It stills needs
to extract the install key to verify it does not need to extract all the
remaining parts. Also Bazel contains other C++ binary and you are going to
run in the rpath problem all the time.

https://github.com/bazelbuild/bazel/issues/2978



2. Since binary bazel in recipe-sysroot-native is a hardlink, while multiple
recipes invoke one bazel at the same time, there is probably a race error
...
FATAL: Failed to open Bazel as a zip file: (error: 5): Input/output error
...
Copy and run a duplicated bazel could workaround it
Signed-off-by: Hongxu Jia <hongxu.jia@windriver.com>

Previously model does not accurate, refer upstream:
https://www.tensorflow.org/lite/models/image_classification/overview


update to latest modle.
Signed-off-by: Hongxu Jia <hongxu.jia@windriver.com>

Refers:
https://github.com/tensorflow/tensorflow/blob/master/tensorflow/lite/examples/label_image/label_image.md

Add a pre-trained model `Mobilenet v1 224' for lable_image
https://storage.googleapis.com/download.tensorflow.org/models/tflite/mobilenet_v1_224_android_quant_2017_11_08.zip

Signed-off-by: Hongxu Jia <hongxu.jia@windriver.com>

Refers:
https://github.com/tensorflow/tensorflow/tree/master/tensorflow/examples/label_image

Add a pre-trained model `Inception v3' for lable_image
https://cloud.google.com/tpu/docs/inception-v3-advanced

Signed-off-by: Hongxu Jia <hongxu.jia@windriver.com>

It caused undefined reference neon_tensor_utils failure
...
|tensor_utils.cc:(.text._ZN6tflite12tensor_utils18ReductionSumVectorEPKfPfii+0x0):
undefined reference to `tflite::tensor_utils::NeonReductionSumVector(float const*,
float*, int, int)'
...

Define Yocto specific cpu `armeabi' for lite label_image
Signed-off-by: Hongxu Jia <hongxu.jia@windriver.com>

Add tensorflow-native to tensorflow's DEPENDS, actually tensorflow
does not require tensorflow-native, but to avoid do_compile at
the same time. Bazel build system does not support parallel build
very well (very slowly).
Signed-off-by: Hongxu Jia <hongxu.jia@windriver.com>

Build fails looking for `execinfo.h` when building against musl
|In file included from ./tensorflow/core/platform/stacktrace.h:26,
|                 from tensorflow/core/platform/stacktrace_handler.cc:34:
|./tensorflow/core/platform/default/stacktrace.h:27:10: fatal error:
execinfo.h: No such file or directory
Signed-off-by: Hongxu Jia <hongxu.jia@windriver.com>

Signed-off-by: Hongxu Jia <hongxu.jia@windriver.com>

Signed-off-by: Hongxu Jia <hongxu.jia@windriver.com>

Signed-off-by: Hongxu Jia <hongxu.jia@windriver.com>