Since oe-core commit [f51835e022 e2fsprogs: upgrade 1.45.6 -> 1.45.7] applied, the backport misc_create_inode.c-label_rootfs.patch is not required The lib-ext2fs-ext2_ext_attr.h-add-xattr-index.patch

This series requires to work with two OE patches which I've submitted to OE mailing list //Hongxu

Target arch only supports 32 bit arm and 32 bit x86, 64 bit arm and 64 bit x86. BSP (MACHINE) incluced in above archs should be supported. Signed-off-by: Hongxu Jia <hongxu.jia@...> --- LIMI

Split sub packages (libtensorflow-c libtensorflow-framework label-image label-image-lite python3-tensorflow), then user chould select the required one rather than install them as a whole Signed-off-by

Refers begginers of upstream [1] [2] [1] https://www.tensorflow.org/install/pip [2] https://www.tensorflow.org/tutorials/quickstart/beginner Signed-off-by: Hongxu Jia <hongxu.jia@...> --- BU

Set BAZEL_JOBS and BAZEL_MEM with empty string to make bazel build without limitation Signed-off-by: Hongxu Jia <hongxu.jia@...> --- classes/bazel.bbclass | 9 ++++++++- recipes-devtools/baze

- Move common config settings to bazel-base.bbclass - Improve bazel_get_flags to make each flag per line with comments - Use BAZEL_MEM rather than hardcoded for option --local_ram_resources - Explicit

Signed-off-by: Hongxu Jia <hongxu.jia@...> --- ...l-native_3.1.0.bb => bazel-native_3.7.1.bb} | 4 ++-- ...e-sysroot-dir-to-the-default-Bazel-to.patch | 12 ++++++------ .../bazel/files/0001-p

CROSSTOOL files are no longer supported after Bazel v0.26+ Signed-off-by: Hongxu Jia <hongxu.jia@...> --- .../tensorflow/files/CROSSTOOL.tpl | 230 ------------------ .../tensorflow/tensorflo

Rebase patch to 2.4 - 0001-customize-for-Yocto.patch Fix projector cannot find module 'd3' Signed-off-by: Hongxu Jia <hongxu.jia@...> --- .../0001-customize-for-Yocto.patch | 199 +++++++++++

It is required by tensorboard Signed-off-by: Hongxu Jia <hongxu.jia@...> --- .../python/python3-pyasn1-modules_0.2.8.bb | 22 +++++++++++++++++++ 1 file changed, 22 insertions(+) create mode

It is required by tensorboard Signed-off-by: Hongxu Jia <hongxu.jia@...> --- recipes-devtools/python/python3-pyasn1_0.4.8.bb | 17 +++++++++++++++++ 1 file changed, 17 insertions(+) create mo

It is required by tensorboard Signed-off-by: Hongxu Jia <hongxu.jia@...> --- .../python3-google-auth-oauthlib_0.4.2.bb | 20 +++++++++++++++++++ 1 file changed, 20 insertions(+) create mode 1

Move it from meta-demo to meta-tensorflow which is required by tensorboard Signed-off-by: Hongxu Jia <hongxu.jia@...> --- .../python/python-google-auth.inc | 10 ++++++++-- .../python/python3

Signed-off-by: Hongxu Jia <hongxu.jia@...> --- classes/bazel.bbclass | 12 +++++++++++- 1 file changed, 11 insertions(+), 1 deletion(-) diff --git a/classes/bazel.bbclass b/classes/bazel.bbcl

|ERROR: tensorflow: Multiple shlib providers for libtensorflow_framework.so.2: tensorflow, tensorflow (used by files: tmp-glibc/work/core2-64-wrs-linux/tensorflow/2.4.0-r0/packages-split/ tensorflow/u

- CROSSTOOL files are no longer supported after Bazel v0.26+, so converted over to the new toolchain config format - Support 32 bit x86 and 64 bit x86 for Yocto - Support 32 bit arm and 64 bit arm (aa

1. Use --local_ram_resources and --local_cpu_resources to replace deprecated --local_resources 2. Add options to bazel-native build |ERROR: --local_resources is deprecated. Please use --local_ram_reso

While using the default Bazel C++ toolchain to build Yocto native tools (bazel build --host_crosstool_top=@bazel_tools//tools/cpp:toolchain), it failed with `bazel references a path outside of the exe

Signed-off-by: Hongxu Jia <hongxu.jia@...> --- .../0001-customize-for-yocto.patch | 28 +++++++++++++++++++ .../tensorflow/tensorflow-estimator_1.13.bb | 12 ++++++-- 2 files changed, 37 inser