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CONTRIBUTING.md
to the core. * As every PR requires several CPU/GPU hours of CI testing, we discourage submitting PRs to fix one typo, one warning,etc. We recommend fixing the same issue at the file level at least (e.g.: fix all typos in a file, fix all compiler warnings in a file, etc.) * Tests should follow the [testing best practices](https://www.tensorflow.org/community/contribute/tests) guide.
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RELEASE.md
sufficiently tested with GPUs yet. * TensorFlow pip packages are now built with CUDA11.2 and cuDNN 8.1.0 ## Breaking Changes * The `TF_CPP_MIN_VLOG_LEVEL` environment variable has been renamed to `TF_CPP_MAX_VLOG_LEVEL` which correctly describes its effect. ## Bug Fixes and Other Changes * `tf.keras`: * Preprocessing layers API consistency changes:
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configure.py
platforms = os.path.join(android_sdk_home_path, 'platforms') api_levels = sorted(os.listdir(platforms)) api_levels = [x.replace('android-', '') for x in api_levels] def valid_api_level(api_level): return os.path.exists( os.path.join(android_sdk_home_path, 'platforms', 'android-' + api_level)) android_api_level = prompt_loop_or_load_from_env( environ_cp,
Python - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 18:25:36 GMT 2024 - 53.8K bytes - Viewed (1) -
tensorflow/c/c_api_experimental.cc
tensorflow::XlaAutoJitFlag flag = tensorflow::GetMarkForCompilationPassFlags()->xla_auto_jit_flag; return static_cast<unsigned char>(flag.optimization_level_single_gpu > 0 || flag.optimization_level_general > 0); } unsigned char TF_GetXlaConstantFoldingDisabled() { return static_cast<unsigned char>(
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ci/official/utilities/code_check_full.bats
# Find all one-step dependencies of those tests which are from //tensorflow # (since external deps will come from Python-level pip dependencies), # excluding dependencies and files that are known to be unneccessary. # This creates a list of targets under //tensorflow that are required for # TensorFlow python tests.
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