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.github/ISSUE_TEMPLATE/tflite-converter-issue.md
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. ### 5. (optional) Any other info / logs
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CONTRIBUTING.md
- You make the change and submit it for the review again. - This cycle repeats itself until the PR gets approved. - Note: As a friendly reminder, we may reach out to you if the PR is awaiting your response for more than 2 weeks. **4. Approved** - Once the PR is approved, it gets `kokoro:force-run` label applied and it initiates CI/CD tests. - We can't move forward if these tests fail.
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RELEASE.md
find the code useful. * re2 / regexp.h was removed from being a public interface of TF. Should users need regular expressions, they should depend on the RE2 library directly rather than via TensorFlow. ## Thanks to our Contributors This release contains contributions from many people at Google, as well as: Abid K, @afshinrahimi, @AidanGG, Ajay Rao, Aki Sukegawa, Alex Rothberg,
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ci/official/containers/linux_arm64/devel.usertools/code_check_full.bats
# the dependencies of that target which include a license notice file are then # included when generating that license. Necessary because the license targets # in TensorFlow are manually enumerated rather than generated automatically. do_external_licenses_check(){ BUILD_TARGET="$1" LICENSES_TARGET="$2" # grep patterns for targets which are allowed to be missing from the licenses
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ci/official/utilities/code_check_full.bats
# the dependencies of that target which include a license notice file are then # included when generating that license. Necessary because the license targets # in TensorFlow are manually enumerated rather than generated automatically. do_external_licenses_check(){ BUILD_TARGET="$1" LICENSES_TARGET="$2" # grep patterns for targets which are allowed to be missing from the licenses
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.bazelrc
build:release_gpu_linux --config=cuda_clang_official test:release_gpu_linux --test_env=LD_LIBRARY_PATH="/usr/local/cuda/lib64:/usr/local/cuda/extras/CUPTI/lib64" # Local test jobs has to be 4 because parallel_gpu_execute is fragile, I think test:release_gpu_linux --test_timeout=300,450,1200,3600 --local_test_jobs=4 --run_under=//tensorflow/tools/ci_build/gpu_build:parallel_gpu_execute build:release_arm64_linux --config=release_linux_base
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tensorflow/build_cleaner_spec.textproto
# proto-file: devtools/build_cleaner/proto/actions.proto # proto-message: ActionSpecs # Python rules should not have more than one source file. action_spec { action: CHECK_FILE_COUNT file_count_params { rule_selector { rule_kind_regex: "^.*py(type)?(_strict)?_(binary|library|test).*$" generator_function_regex: "^(?!boq_header)$" } max_source_count: 1 }
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