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RELEASE.md
and newer CPUs.) * [Example performance speedups.](https://medium.com/intel-analytics-software/leverage-intel-deep-learning-optimizations-in-tensorflow-129faa80ee07) * For older CPUs, oneDNN optimizations are disabled by default. * **Windows x86 package:** oneDNN optimizations are disabled by default. * **Linux aach64 (`--config=mkl_aarch64`) package:**
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ci/official/utilities/code_check_full.bats
"//tensorflow/tools/lib_package:jnilicenses_generate" } # This test ensures that all the targets built into the Python package include # their dependencies. It's a rewritten version of the "smoke test", an older # Python script that was very difficult to understand. See # https://github.com/tensorflow/tensorflow/blob/master/tensorflow/tools/pip_package/pip_smoke_test.py @test "Pip package includes all required //tensorflow dependencies" {
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configure.py
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