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tensorflow2-lite-devel-2.1.2-lp152.7.3.1 RPM for aarch64

From OpenSuSE Ports Leap 15.2 updates for aarch64

Name: tensorflow2-lite-devel Distribution: openSUSE Leap 15.2
Version: 2.1.2 Vendor: openSUSE
Release: lp152.7.3.1 Build date: Mon Oct 19 13:14:20 2020
Group: Development/Languages/Python Build host: obs-arm-7
Size: 26295396 Source RPM: tensorflow2-lite-2.1.2-lp152.7.3.1.src.rpm
Packager: http://bugs.opensuse.org
Url: https://www.tensorflow.org/
Summary: Header files of tensorflow
This open source software library for numerical computation is used for data
flow graphs. The graph nodes represent mathematical operations, while the graph
edges represent the multidimensional data arrays (tensors) that flow between
them. This flexible architecture enables you to deploy computation to one or
more CPUs in a desktop, server, or mobile device without rewriting code.

This package provides necessary headers for the C/C++ Api

Provides

Requires

License

Apache-2.0 AND BSD-2-Clause AND BSD-3-Clause AND FSFUL AND MIT AND MPL-2.0 AND OpenSSL AND Python-2.0

Changelog

* Tue Oct 13 2020 Christian Goll <cgoll@suse.com>
  - fixed hpc flavor and Leap15.2 builds
* Mon Sep 28 2020 Christian Goll <cgoll@suse.com>
  - 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
* Mon Sep 14 2020 Christian Goll <cgoll@suse.com>
  - fixed json-feature-name.patch for leap15.2 builds
* Thu Sep 10 2020 Christian Goll <cgoll@suse.com>
  - updated disk constraints, as sometimes the build fails with too
    low disk space
* Wed Sep 09 2020 Christian Goll <cgoll@suse.com>
  - 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
* Tue Sep 08 2020 Christian Goll <cgoll@suse.com>
  - Package header files for Tensoflow2 Lite - boo#1175099
* Thu Sep 03 2020 Guillaume GARDET <guillaume.gardet@opensuse.org>
  - Revert memoryperjob constraint support and use again
    %limit_build macro to avoid OOM errors
* Thu Aug 20 2020 Guillaume GARDET <guillaume.gardet@opensuse.org>
  - Lower memoryperjob to 1300 MB (as done for tensorflow)
* Thu Aug 20 2020 Martin Liška <mliska@suse.cz>
  - Use memoryperjob constraint instead of %limit_build macro.
* Thu Jun 25 2020 Christian Goll <cgoll@suse.com>
  - fixed build with json_cpp 1.9.3 (bsc#1173314)
* Fri Jun 19 2020 Christian Goll <cgoll@suse.com>
  - fixed local CUDA builds
* Tue Jun 16 2020 Christian Goll <cgoll@suse.com>
  - 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
* Mon May 25 2020 Christian Goll <cgoll@suse.com>
  - 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
* Tue Apr 07 2020 Christian Goll <cgoll@suse.com>
  - 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
* Fri Mar 27 2020 Guillaume GARDET <guillaume.gardet@opensuse.org>
  - tensorflow2-lite-devel does not requires libtensorflow*
* Thu Mar 26 2020 Christian Goll <cgoll@suse.com>
  - removed hpc-mvapich2 build (bsc#1167735)
* Tue Mar 24 2020 Bernhard Wiedemann <bwiedemann@suse.com>
  - Use pip install --no-compile (boo#1094323)
* Fri Mar 20 2020 Guillaume GARDET <guillaume.gardet@opensuse.org>
  - Lite flavor should not provide python3-tensorflow nor tensorflow
* Fri Mar 13 2020 Christian Goll <cgoll@suse.com>
  - 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
* Mon Mar 09 2020 Guillaume GARDET <guillaume.gardet@opensuse.org>
  - Lite flavor should not provide "tensorflow", otherwise
    tensorlfow2-devel and tensorlfow2-lite-devel conflict and break
    armnn
* Thu Mar 05 2020 Christian Goll <cgoll@suse.com>
  - added Provides: tensorflow, so that Kerase works with this package
    and fixed Leap 15.2 build
* Fri Feb 28 2020 Guillaume GARDET <guillaume.gardet@opensuse.org>
  - Fix name for libtensorflow* sub-packages
* Thu Feb 20 2020 Guillaume GARDET <guillaume.gardet@opensuse.org>
  - openSUSE has no CUDA package, so disable cuda build for
    openSUSE
* Fri Feb 14 2020 Christian Goll <cgoll@suse.com>
  - addding changes for CUDA builds
* Thu Feb 13 2020 Guillaume GARDET <guillaume.gardet@opensuse.org>
  - Add 'Provides' only for hpc flavors, otherwise it matches the
    package name
* Tue Feb 11 2020 Guillaume GARDET <guillaume.gardet@opensuse.org>
  - Add provides/conflicts to avoid to install tensorflow and
    tensorflow2 as some files are provided by both packages
* Wed Feb 05 2020 Christian Goll <cgoll@suse.com>
  -  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
* Sun Feb 02 2020 Guillaume GARDET <guillaume.gardet@opensuse.org>
  - Add 1.25.0 as minimal version for grpc-devel
* Fri Jan 31 2020 Guillaume GARDET <guillaume.gardet@opensuse.org>
  - 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)
* Thu Jan 30 2020 Christian Goll <cgoll@suse.com>
  - removed AVX2 flavor, this should be fixed via mkl-dnn
* Thu Jan 30 2020 Guillaume GARDET <guillaume.gardet@opensuse.org>
  - Fix build on hpc targets
* Tue Jan 28 2020 Christian Goll <cgoll@suse.com>
  - 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
* Tue Jan 28 2020 Guillaume GARDET <guillaume.gardet@opensuse.org>
  - Do not try to install *.pb.* files in Lite flavor
* Tue Jan 28 2020 Guillaume GARDET <guillaume.gardet@opensuse.org>
  - Define package name at 'tensorflow2' instead of 'tensorflow'
* Fri Jan 24 2020 Guillaume GARDET <guillaume.gardet@opensuse.org>
  - Generate *.pb.* files and package them, to be used by ArmNN
  - Do not build on %ix86
  - Do not build %arm, except for Lite flavor
* Thu Jan 23 2020 Christian Goll <cgoll@suse.com>
  - updated to tensorflow 2.1.0 which is a stable release and has
    following breaking changes:
    * Deletes Operation.traceback_with_start_lines for which we
      know of no usages.
    * Removed id from tf.Tensor.__repr__() as id is not useful other
      than internal debugging.
    * Some tf.assert_* methods now raise assertions at operation
      creation time if the input tensors' values are known at that
      time, not during the session.run(). This only changes behavior
      when the graph execution would have resulted in an error. When
      this happens, a noop is returned and the input tensors are
      marked non-feedable. In other words, if they are used as keys
      in feed_dict argument to session.run(), an error will be raised.
      Also, because some assert ops don't make it into the graph, the
      graph structure changes. A different graph can result in
      different per-op random seeds when they are not given
      explicitly (most often).
    * The following APIs are not longer experimental:
      tf.config.list_logical_devices, tf.config.list_physical_devices,
      tf.config.get_visible_devices, tf.config.set_visible_devices,
      tf.config.get_logical_device_configuration,
      tf.config.set_logical_device_configuration.
    * tf.config.experimentalVirtualDeviceConfiguration has been
      renamed to tf.config.LogicalDeviceConfiguration.
    * tf.config.experimental_list_devices has been removed,
      please use tf.config.list_logical_devices.
  - renamed the project to tensorflow2 so that the original tensorflow
    v1 API compatible release can stay in factory. Following
    changes were made to achive this:
    * added tensorflow-v2.1.0.tar.gz
    * added tensforflow2.spec
    * added tensforflow2.changes
    * removed tensorflow-v1.13.2.tar.gz
    * removed tensorflow.spec
    * removed tensorflow.chnages
  - following source files had to be updated
    * updated abseil-cpp.tar.gz
    * updated bazel-toolchains.tar.gz
    * updated eigen.tar.gz
    * updated gemmlowp.zip
    * updated license.rst.txt
    * updated rules_closure.tar.gz
  - following new souces had to be updated
    * added aws-sdk-cpp-1.5.8.tar.gz
    * added bazel-skylib.0.8.0.tar.gz
    * added fft2d.tgz
    * added rules_cc.zip
  - for the following souces the system libraries are now ues
    * removed aws-sdk-cpp-1.3.15.tar.gz
    * removed double_conversion.zip
    * removed file unicode-org-icu.tar.gz
    * removed file 816a4ae622e964763ca0862d9dbd19324a1eaf45.tar.gz
  - these patches were removed
    * removed file support-new-bazel.patch
    * removed file tensorflow-make_aws_sdk_work_on_aarch64.patch
    * removed file tensorflow-fix_lite.patch
    * removed file remove-keras.patch
    * removed file grpc-namespace-corrections.patch
  - these new patches were added
    * added fix-lite.patch
    * added removed-docker-tools.patch
    * added right-json-location.patch
* Tue Oct 15 2019 Christian Goll <cgoll@suse.com>
  - 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
* Wed Sep 25 2019 Christian Goll <cgoll@suse.com>
  - 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
* Mon Sep 23 2019 Christian Goll <cgoll@suse.com>
  - using now system protobuf instead of building it (bsc#1151150)
* Tue Sep 17 2019 guillaume.gardet@opensuse.org
  - Ajust %limit_build to avoid OOM errors
  - Do not use %limit_build for lite flavor
* Mon Jul 29 2019 Christian Goll <cgoll@suse.com>
  - added additonal dependencies
* Wed Jul 17 2019 Christian Goll <cgoll@suse.com>
  - fixed installation location of shared library
* Mon Jul 08 2019 Christian Goll <cgoll@suse.com>
  - removed bazel mirror from as much source links as possible
  - added support-new-bazel.patch support newer upcoming bazel
    versions
* Tue Jun 04 2019 Guillaume GARDET <guillaume.gardet@opensuse.org>
  - Fix build for lite flavor:
    * tensorflow-fix_lite.patch
* Wed May 29 2019 Guillaume GARDET <guillaume.gardet@opensuse.org>
  - Call ldconfig for devel package in post/postun
* Mon May 27 2019 Guillaume GARDET <guillaume.gardet@opensuse.org>
  - Fix aarch64 build with upstream patch:
    * tensorflow-make_aws_sdk_work_on_aarch64.patch
* Mon May 27 2019 Guillaume GARDET <guillaume.gardet@opensuse.org>
  - Add Lite flavor
* Fri Apr 26 2019 Christian Goll <cgoll@suse.com>
  - updated to 1.13.1 fixes boo#1133490
* Fri Mar 29 2019 Guillaume GARDET <guillaume.gardet@opensuse.org>
  - Update _constraints to avoid OOM errors
* Fri Mar 29 2019 Guillaume GARDET <guillaume.gardet@opensuse.org>
  - Build and package libtensorflow_cc and libtensorflow_framework
* Tue Mar 19 2019 Christian Goll <cgoll@suse.com>
  - added fix_mvapich_mpi_bzl.patch which fixes detection of
    mvapich2 mpi library
  - fixed python3 build
* Tue Mar 12 2019 Adrian Schröter <adrian@suse.de>
  - update to version 1.13.1
    * Major Features and Improvements
    * TensorFlow Lite has moved from contrib to core. This means that Python modules are under tf.lite and source code is now under tensorflow/lite rather than tensorflow/contrib/lite.
    * TensorFlow GPU binaries are now built against CUDA 10 and TensorRT 5.0.
    * Support for Python3.7 on all operating systems.
    * Moved NCCL to core.
  - drop merged patch mpilibpath_configure_py.patch
  - drop obsolete pyton3.7 patches
  - disabled jemalloc for now
* Tue Feb 12 2019 cgoll@suse.com
  - enabled aws and googlecloud support
    * removed no_aws_and_googlecloud.patch
* Mon Feb 11 2019 Christian Goll <cgoll@suse.com>
  - Fixed build issues with python 3.7 what introduced the patches
    * python3_7_compatibility.patch backported from upstream
    * python3.7_unicode.patch fixes a minor function call
    * python3.7_async_keyword.patch avoids the new keyword async
* Thu Jan 31 2019 Bernhard Wiedemann <bwiedemann@suse.com>
  - Fix build with python 3.7
* Fri Jan 18 2019 Guillaume GARDET <guillaume.gardet@opensuse.org>
  - Build and package libtensorflow.so as some packages may link to it
* Fri Jan 11 2019 Guillaume GARDET <guillaume.gardet@opensuse.org>
  - Add constraints on HDD size to avoid no space-left error
* Mon Nov 26 2018 Todd R <toddrme2178@gmail.com>
  - Fix python3 provides
  - Minor spec file cleanups
* Sat Nov 24 2018 Todd R <toddrme2178@gmail.com>
  - Provide python3-tensorflow
* Thu Nov 08 2018 cgoll@suse.com
  - updated build command to fit bazel-0.19
* Thu Oct 18 2018 Jan Engelhardt <jengelh@inai.de>
  - Trim pad wording from descriptions.
* Tue Oct 16 2018 cgoll@suse.com
  - Updated to Tensorflow 1.10 as with this release it supports
    the partial use of systemlibs. Still a lot additional sources are
    included which are
    * closure
    * weakref
    * double-conversion
    * gast
    * farmhash
    * nsync
    * gemmlowp
    * abseil-cpp
    * boring-ssl
    * google-apis
    * cub
    * highwayhash
    * abseil-pypi
    * eigen
    * arm_neon_x86_sse
    * fft
    * grpc
    * re2
    Although some of these libraries are available in factory they could
    not be used as explicit versions are needed or bazel or the build
    system links them in the wrong way.
  - mpilibpath_configure_py.patch changes the search path for the mpi
    to also include lib64/
  - no_aws_and_googlecloud.patch removes the dependence of aws,
    googlecloud and kafaka apis, as this version is not compiled with
    the support of this apis.
* Thu Jan 04 2018 cgoll@suse.com
  - Initial commit of Tensorflow 1.4 not all requirement could be met
    by the distribution packages and the sources have to be included.
    This is true for
    - Eigen
    - protobuf
    - grpc
    - lmdb
    - json-cpp
    The build itself is now based on bazel and creates the pip package which
    is then extracted from the build environment

Files

/usr/include/tensorflow/lite
/usr/include/tensorflow/lite/allocation.h
/usr/include/tensorflow/lite/arena_planner.h
/usr/include/tensorflow/lite/builtin_op_data.h
/usr/include/tensorflow/lite/builtin_ops.h
/usr/include/tensorflow/lite/c
/usr/include/tensorflow/lite/c/builtin_op_data.h
/usr/include/tensorflow/lite/c/c_api_internal.h
/usr/include/tensorflow/lite/context.h
/usr/include/tensorflow/lite/context_util.h
/usr/include/tensorflow/lite/core
/usr/include/tensorflow/lite/core/api
/usr/include/tensorflow/lite/core/api/error_reporter.h
/usr/include/tensorflow/lite/core/api/flatbuffer_conversions.h
/usr/include/tensorflow/lite/core/api/op_resolver.h
/usr/include/tensorflow/lite/core/api/profiler.h
/usr/include/tensorflow/lite/core/api/tensor_utils.h
/usr/include/tensorflow/lite/core/subgraph.h
/usr/include/tensorflow/lite/delegates
/usr/include/tensorflow/lite/delegates/flex
/usr/include/tensorflow/lite/delegates/flex/buffer_map.h
/usr/include/tensorflow/lite/delegates/flex/delegate.h
/usr/include/tensorflow/lite/delegates/flex/delegate_data.h
/usr/include/tensorflow/lite/delegates/flex/kernel.h
/usr/include/tensorflow/lite/delegates/flex/test_util.h
/usr/include/tensorflow/lite/delegates/flex/util.h
/usr/include/tensorflow/lite/delegates/flex/whitelisted_flex_ops.h
/usr/include/tensorflow/lite/delegates/gpu
/usr/include/tensorflow/lite/delegates/gpu/api.h
/usr/include/tensorflow/lite/delegates/gpu/cl
/usr/include/tensorflow/lite/delegates/gpu/cl/api.h
/usr/include/tensorflow/lite/delegates/gpu/cl/buffer.h
/usr/include/tensorflow/lite/delegates/gpu/cl/cl_command_queue.h
/usr/include/tensorflow/lite/delegates/gpu/cl/cl_context.h
/usr/include/tensorflow/lite/delegates/gpu/cl/cl_device.h
/usr/include/tensorflow/lite/delegates/gpu/cl/cl_errors.h
/usr/include/tensorflow/lite/delegates/gpu/cl/cl_event.h
/usr/include/tensorflow/lite/delegates/gpu/cl/cl_image_format.h
/usr/include/tensorflow/lite/delegates/gpu/cl/cl_kernel.h
/usr/include/tensorflow/lite/delegates/gpu/cl/cl_memory.h
/usr/include/tensorflow/lite/delegates/gpu/cl/cl_program.h
/usr/include/tensorflow/lite/delegates/gpu/cl/cl_test.h
/usr/include/tensorflow/lite/delegates/gpu/cl/egl_sync.h
/usr/include/tensorflow/lite/delegates/gpu/cl/environment.h
/usr/include/tensorflow/lite/delegates/gpu/cl/gl_interop.h
/usr/include/tensorflow/lite/delegates/gpu/cl/gpu_api_delegate.h
/usr/include/tensorflow/lite/delegates/gpu/cl/inference_context.h
/usr/include/tensorflow/lite/delegates/gpu/cl/kernels
/usr/include/tensorflow/lite/delegates/gpu/cl/kernels/add.h
/usr/include/tensorflow/lite/delegates/gpu/cl/kernels/apply_mask.h
/usr/include/tensorflow/lite/delegates/gpu/cl/kernels/cl_test.h
/usr/include/tensorflow/lite/delegates/gpu/cl/kernels/concat_xy.h
/usr/include/tensorflow/lite/delegates/gpu/cl/kernels/concat_z.h
/usr/include/tensorflow/lite/delegates/gpu/cl/kernels/conv_buffer.h
/usr/include/tensorflow/lite/delegates/gpu/cl/kernels/conv_buffer_1x1.h
/usr/include/tensorflow/lite/delegates/gpu/cl/kernels/conv_constants.h
/usr/include/tensorflow/lite/delegates/gpu/cl/kernels/conv_powervr.h
/usr/include/tensorflow/lite/delegates/gpu/cl/kernels/conv_texture.h
/usr/include/tensorflow/lite/delegates/gpu/cl/kernels/converter.h
/usr/include/tensorflow/lite/delegates/gpu/cl/kernels/convolution_transposed.h
/usr/include/tensorflow/lite/delegates/gpu/cl/kernels/convolution_transposed_3x3_thin.h
/usr/include/tensorflow/lite/delegates/gpu/cl/kernels/convolution_transposed_thin.h
/usr/include/tensorflow/lite/delegates/gpu/cl/kernels/depth_wise_conv.h
/usr/include/tensorflow/lite/delegates/gpu/cl/kernels/depth_wise_conv_3x3.h
/usr/include/tensorflow/lite/delegates/gpu/cl/kernels/elementwise.h
/usr/include/tensorflow/lite/delegates/gpu/cl/kernels/flt_type.h
/usr/include/tensorflow/lite/delegates/gpu/cl/kernels/fully_connected_texture.h
/usr/include/tensorflow/lite/delegates/gpu/cl/kernels/gpu_operation.h
/usr/include/tensorflow/lite/delegates/gpu/cl/kernels/lstm.h
/usr/include/tensorflow/lite/delegates/gpu/cl/kernels/max_unpooling.h
/usr/include/tensorflow/lite/delegates/gpu/cl/kernels/multiply_add.h
/usr/include/tensorflow/lite/delegates/gpu/cl/kernels/padding.h
/usr/include/tensorflow/lite/delegates/gpu/cl/kernels/pooling.h
/usr/include/tensorflow/lite/delegates/gpu/cl/kernels/prelu.h
/usr/include/tensorflow/lite/delegates/gpu/cl/kernels/relu.h
/usr/include/tensorflow/lite/delegates/gpu/cl/kernels/reshape.h
/usr/include/tensorflow/lite/delegates/gpu/cl/kernels/reshapex4.h
/usr/include/tensorflow/lite/delegates/gpu/cl/kernels/softmax.h
/usr/include/tensorflow/lite/delegates/gpu/cl/kernels/softmax1x1.h
/usr/include/tensorflow/lite/delegates/gpu/cl/kernels/strided_slice.h
/usr/include/tensorflow/lite/delegates/gpu/cl/kernels/transpose.h
/usr/include/tensorflow/lite/delegates/gpu/cl/kernels/tuning_parameters.h
/usr/include/tensorflow/lite/delegates/gpu/cl/kernels/upsample.h
/usr/include/tensorflow/lite/delegates/gpu/cl/kernels/util.h
/usr/include/tensorflow/lite/delegates/gpu/cl/kernels/work_group_picking.h
/usr/include/tensorflow/lite/delegates/gpu/cl/linear_storage.h
/usr/include/tensorflow/lite/delegates/gpu/cl/model_hints.h
/usr/include/tensorflow/lite/delegates/gpu/cl/opencl_wrapper.h
/usr/include/tensorflow/lite/delegates/gpu/cl/precision.h
/usr/include/tensorflow/lite/delegates/gpu/cl/program_cache.h
/usr/include/tensorflow/lite/delegates/gpu/cl/selectors
/usr/include/tensorflow/lite/delegates/gpu/cl/selectors/convolution_selector.h
/usr/include/tensorflow/lite/delegates/gpu/cl/selectors/convolution_transposed_selector.h
/usr/include/tensorflow/lite/delegates/gpu/cl/selectors/dw_convolution_selector.h
/usr/include/tensorflow/lite/delegates/gpu/cl/selectors/fully_connected_selector.h
/usr/include/tensorflow/lite/delegates/gpu/cl/selectors/operation_selector.h
/usr/include/tensorflow/lite/delegates/gpu/cl/selectors/simple_selectors.h
/usr/include/tensorflow/lite/delegates/gpu/cl/tensor.h
/usr/include/tensorflow/lite/delegates/gpu/cl/tensor_type.h
/usr/include/tensorflow/lite/delegates/gpu/cl/tensor_type_util.h
/usr/include/tensorflow/lite/delegates/gpu/cl/texture2d.h
/usr/include/tensorflow/lite/delegates/gpu/cl/util.h
/usr/include/tensorflow/lite/delegates/gpu/common
/usr/include/tensorflow/lite/delegates/gpu/common/access_type.h
/usr/include/tensorflow/lite/delegates/gpu/common/convert.h
/usr/include/tensorflow/lite/delegates/gpu/common/data_type.h
/usr/include/tensorflow/lite/delegates/gpu/common/gpu_info.h
/usr/include/tensorflow/lite/delegates/gpu/common/memory_management
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Fabrice Bellet, Mon Nov 29 23:59:34 2021