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CONTRIBUTING.md
### Typical Pull Request Workflow - **1. New PR** - As a contributor, you submit a New PR on GitHub. - We inspect every incoming PR and add certain labels to the PR such as `size:`, `comp:` etc. At this stage we check if the PR is valid and meets certain quality requirements. For example, we check if the CLA is signed, PR has
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ci/official/utilities/code_check_full.bats
https://github.com/tensorflow/tensorflow/blob/master/tensorflow/tools/tf_sig_build_dockerfiles/devel.usertools/code_check_full.bats Here are the affected tests: EOF while read dep; do echo "For dependency $dep:" # For every missing dependency, find the tests which directly depend on # it, and print that list for debugging. Not really clear if this is # helpful since the only examples I've seen are enormous.
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ci/official/envs/ci_default
# ============================================================================== # Note: this file gets sourced in utilities/setup.sh, which has "set -u" # (error on undefined variables). This ensures that (a) every TFCI variable # has an explicit default value, and (b) no script can accidentally use a # variable that doesn't exist. Please keep this list in alphabetical order. # # Find usage in scripts with e.g.: # cd ci/official
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tensorflow/c/c_api.cc
} else { return ToOperation(iter->second); } } TF_Operation* TF_GraphNextOperation(TF_Graph* graph, size_t* pos) { if (*pos == 0) { // Advance past the first sentinel nodes in every graph (the source & sink). *pos += 2; } else { // Advance to the next node. *pos += 1; } mutex_lock l(graph->mu);
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 102.3K bytes - Viewed (0) -
RELEASE.md
* Added a new `rerandomize_each_iteration` argument for the `tf.data.Dataset.sample_from_datasets()` operation, which controls whether the...
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ci/official/utilities/rename_and_verify_wheels.sh
"$python" -c 'import tensorflow as tf; t1=tf.constant([1,2,3,4]); t2=tf.constant([5,6,7,8]); print(tf.add(t1,t2).shape)' "$python" -c 'import sys; import tensorflow as tf; sys.exit(0 if "keras" in tf.keras.__name__ else 1)' fi # VERY basic check to ensure the [and-cuda] package variant is installable. # Checks TFCI_BAZEL_COMMON_ARGS for "gpu" or "cuda", implying that the test is # relevant. All of the GPU test machines have CUDA installed via other means,
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.bazelrc
# Please note that MKL on MacOS is still not supported. # If you would like to use a local MKL instead of downloading, please set the # environment variable "TF_MKL_ROOT" every time before build. build:mkl --define=build_with_mkl=true --define=enable_mkl=true build:mkl --define=tensorflow_mkldnn_contraction_kernel=0 build:mkl --define=build_with_openmp=true build:mkl -c opt
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