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tensorflow/BUILD
get_compat_files(TENSORFLOW_API_INIT_FILES_V1, 1) + get_nested_compat_files([ 1, 2, ]) ) # copybara:comment_end # Config setting used when building for products # which requires restricted licenses to be avoided. config_setting( name = "no_lgpl_deps", define_values = {"__TENSORFLOW_NO_LGPL_DEPS__": "1"}, visibility = ["//visibility:public"], )
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.github/ISSUE_TEMPLATE/tflite-converter-issue.md
``` ### 3. Failure after conversion If the conversion is successful, but the generated model is wrong, then state what is wrong: - Model produces wrong results and/or has lesser accuracy. - Model produces correct results, but it is slower than expected. ### 4. (optional) RNN conversion support If converting TF RNN to TFLite fused RNN ops, please prefix [RNN] in the title.
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ci/official/requirements_updater/README.md
``` ## Requirements updater Requirements updater is a standalone tool, intended to simplify process of updating requirements for multiple minor versions of Python. It takes in a file with a set of dependencies, and produces a more detailed requirements file for each version, with hashes specified for each dependency required, as well as their sub-dependencies. ### How to update/add requirements
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LICENSE
with Licensor regarding such Contributions. 6. Trademarks. This License does not grant permission to use the trade names, trademarks, service marks, or product names of the Licensor, except as required for reasonable and customary use in describing the origin of the Work and reproducing the content of the NOTICE file.
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RELEASE.md
neural-network-focused hardware features such as AVX512_VNNI, AVX512_BF16, AMX, etc. ([Intel Cascade Lake](https://www.intel.com/content/www/us/en/products/platforms/details/cascade-lake.html) and newer CPUs.) * [Example performance speedups.](https://medium.com/intel-analytics-software/leverage-intel-deep-learning-optimizations-in-tensorflow-129faa80ee07)
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