tensorflow-1.15.4-bp153.1.74

- Update to 1.15.4:
  * 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)
  * Updates sqlite3 to 3.33.00 to handle CVE-2020-9327,
    CVE-2020-11655, CVE-2020-11656, CVE-2020-13434,
    CVE-2020-13435, CVE-2020-13630, CVE-2020-13631,
    CVE-2020-13871, and CVE-2020-15358.
  * Fixes #41630 by including max_seq_length in CuDNN descriptor
    cache key
  * Pins numpy to 1.18.5 to prevent ABI breakage when compiling
    code that uses both NumPy and TensorFlow headers.

- Package header files for Tensoflow Lite - boo#1175099

- Use memoryperjob constraint instead of %limit_build macro.
- Use only 1300MB for memoryperjob.

- Replace pypi.python.org Source URL with the canonical files.pythonhosted.org

- update spec file to link ccache correctly for bazel builds.

- updated to bug fix release 1.15.3

- 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

- removed hpc-mvapich2 build (bsc#1167735)

- Suppress library-without-ldconfig-* in rpmlintrc as it seems
  intentional and is currently causing builds to fail

- fixed mpi and hpc builds, added file
  * fix-mpi-build.patch

- Fixed python3.8 build and logging with the the two patches
  * Fix-build-failures-for-python-3.8.patch which fixes the build
  * Fix-TensorFlow-on-Python-3.8-logger-issue.patch which fixes the logging

- updated to latest stable v1 version 1.15.2 which fixes
  CVE-2019-16778 (bsc#1159338)
- Highlights of this version are:
  * MKL-DNN contraction kernels on by default
  * Fixes a security vulnerability where converting a Python string
    to a tf.float16 value produces a segmentation fault (CVE-2020-5215)
  see RELEASE.md for full changelog
- updated following sources:
  * tensorflow-1.15.2.tar.gz
  * bazel-toolchains.tar.gz
  * eigen.tar.gz
  * gemmlowp.zip
  * google-cloud-cpp.tar.gz
  * license.rst.txt
  * rules_closure.tar.gz
- added following patches:
  * removed-docker-tools.patch to remove docker build during package build
  * right-json-location.patch to make syslibs point to json
  * tensorflow-make_aws_sdk_work_on_aarch64.patch
  * fix-lite.patch
  * json-feature-name.patch
- removed follwing sources
  * abseil-pypi-v0.2.2.tar.gz
  * aws-sdk-cpp-1.3.15.tar.gz
  * boring_ssl.tar.gz
  * double_conversion.zip
  * fft.tgz
  * flatbuffers_v1.9.0.tar.gz
  * gast-0.2.0.tar.gz
  * google-flatbuffers-1.10.0~pre.tar.gz
  * google-nsync-1.20.1.tar.gz
  * python-license.txt
  * unicode-org-icu.tar.gz
- removed following patches:
  * fix_mvapich_mpi_bzl.patch
  * grpc-namespace-corrections.patch
  * remove-keras.patch
  * tensorflow-fix_lite.patch
  * support-new-bazel.patch

- 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

- Increase RAM requirements and limit_build value to avoid OOM

- Apply grpc-namespace-corrections.patch for all flavors
  since Leap 15.2 now requires it as well.

- Fix ARM_NEON_2_x86_SSE-master.zip archive

- Build TensorFlow Lite (only) for %arm

- ExcludeArch %arm since build fails due to no support for aws

- ExcludeArch %ix86: bazel is required to build, which in turn is
  not supported on ix86.

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

- Increase a bit %limit_build to avoid OOM errors seen on x86_64

- Generate and package protobuf files (for armNN)

- Apply grpc-namespace-corrections.patch for Tumbleweed only

- updated to tensorflow 0.13.2
- dropped grpc.tar.gz and grpc-v1.13.0.gz as system grpc is used, this
  fixes the broken builds which were introduced with gcc9 (bsc#1152671)
  * added grpc-namespace-corrections.patch in order to use system grpc
- dropped re2-2018-10-01.tar.gz as system re2 is used now

- added remove-keras.patch which removes keras sources and uses
  distribution keras libaries
  * removed keras-applications-1.0.6.tar.gz
  * removed keras-preprocessing-1.0.9.tar.gz