tensorflow2-lite-2.1.2-bp153.1.18

- fixed hpc flavor and Leap15.2 builds

- updated to 2.1.2 with following fixes (bsc#1177022):
  * Fixes an undefined behavior causing a segfault in tf.raw_ops.Switch (CVE-2020-15190)
  * Fixes three vulnerabilities in conversion to DLPack format
    (CVE-2020-15191, CVE-2020-15192, CVE-2020-15193)
  * Fixes two vulnerabilities in SparseFillEmptyRowsGrad
    (CVE-2020-15194, CVE-2020-15195)
  * Fixes an integer truncation vulnerability in code using the
    work sharder API (CVE-2020-15202)
  * Fixes a format string vulnerability in tf.strings.as_string (CVE-2020-15203)
  * Fixes segfault raised by calling session-only ops in eager mode (CVE-2020-15204)
  * Fixes data leak and potential ASLR violation from tf.raw_ops.StringNGrams (CVE-2020-15205)
  * Fixes segfaults caused by incomplete SavedModel validation (CVE-2020-15206)
  * Fixes a data corruption due to a bug in negative indexing support in TFLite (CVE-2020-15207)
  * Fixes a data corruption due to dimension mismatch in TFLite (CVE-2020-15208)
  * Fixes several vulnerabilities in TFLite saved model format
    (CVE-2020-15209, CVE-2020-15210, CVE-2020-15211)
- using fft2d.tgz instead of fft.tar.gz
- removed fft.tar.gz

- fixed json-feature-name.patch for leap15.2 builds

- updated disk constraints, as sometimes the build fails with too
  low disk space

- Package C-headers for standard tensorflow (boo#1175789)
- fixed build gcc10.1 errors for Tumbleweed with following
  upstream patch:
  * added file Provide-overload-to-cope-with-const-ness-change-of-N.patch

- Package header files for Tensoflow2 Lite - boo#1175099

- Revert memoryperjob constraint support and use again
  %limit_build macro to avoid OOM errors

- Lower memoryperjob to 1300 MB (as done for tensorflow)

- Use memoryperjob constraint instead of %limit_build macro.

- fixed build with json_cpp 1.9.3 (bsc#1173314)

- fixed local CUDA builds

- updated to 2.1.1 which is a bug fix release mostly for external
  sources which are not part of this package (sqlite,libjpeg-turbo,
  Apache Spark)
  * Fixes a versioning bug which causes Keras layers from TF 1.x to
  be used instead of those from TF 2.x

- fixed broken builds which were caused due to missing dependency
  on @com_google_absl//absl/strings in various BUILD files
- added patch: fix-google-absl-memory.patch

- added mkl-ddn as source and do not use system mkl-dnn (bsc#1168839)
- removed patches:
  * fixed-mkl-sgemm-call.patch
  * added-mkl_dnn-as-syslib.patch
- added source:
  mkl-v0.21.2.tar.gz

- tensorflow2-lite-devel does not requires libtensorflow*

- removed hpc-mvapich2 build (bsc#1167735)

- Use pip install --no-compile (boo#1094323)

- Lite flavor should not provide python3-tensorflow nor tensorflow

- removed sources of bazel sources and replaced them by internal packages
  * rules-cc.zip removed
  * bazel-toolchains.tar.gz removed
  * bazel-skylib.0.8.0.tar.gz removed

- Lite flavor should not provide "tensorflow", otherwise
  tensorlfow2-devel and tensorlfow2-lite-devel conflict and break
  armnn

- added Provides: tensorflow, so that Kerase works with this package
  and fixed Leap 15.2 build

- Fix name for libtensorflow* sub-packages

- openSUSE has no CUDA package, so disable cuda build for
  openSUSE

- addding changes for CUDA builds

- Add 'Provides' only for hpc flavors, otherwise it matches the
  package name

- Add provides/conflicts to avoid to install tensorflow and
  tensorflow2 as some files are provided by both packages

-  removed mkl-dnn as sourc and force usage of system mkl-dnn
  for x86_64 builds
  * removed file mkl-dnn-v021.2.tar.gz
  * added patch: added-mkl_dnn-as-syslib.patch
  * added patch: fixed-mkl-sgemm-call.patch

- Add 1.25.0 as minimal version for grpc-devel

- Add 3.1.5 as a minimal version for double-conversion-devel
  (2.0.1 from SLE15SP2/Leap15.2 is too old)
- Lower required version for protobuf (3.9.1 from SLE15SP2/Leap15.2
  is fine)

- removed AVX2 flavor, this should be fixed via mkl-dnn

- Fix build on hpc targets

- added shared library packages libtensorflow2,
  libtensorflow_cc2 and libtensorflow_framework2
- removed the AWS sdk support as this forces a SEGFAULT
  * remobed file aws-sdk-cpp-1.5.8.tar.gz
- dropped following source files as they are not needed any more
  * removed file backports.weakref-1.0rc1.tar.gz
  * removed file gettid.patch
  * removed file grpc-v1.24.2.gz
  * removed file libjpeg-turbo-2.0.0.tar.gz
  * removed file nsync_1.20.0.tar.gz