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.github/ISSUE_TEMPLATE/tflite-converter-issue.md
#### Option A: Reference colab notebooks 1) Reference [TensorFlow Model Colab](https://colab.research.google.com/gist/ymodak/e96a4270b953201d5362c61c1e8b78aa/tensorflow-datasets.ipynb?authuser=1): Demonstrate how to build your TF model.
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CITATION.cff
cff-version: 1.2.0 message: "If you use TensorFlow in your research, please cite it using these metadata. Software is available from tensorflow.org." title: TensorFlow, Large-scale machine learning on heterogeneous systems
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SECURITY.md
mitigate the risk in this scenario is to sandbox the model execution. ### Hardware attacks Physical GPUs or TPUs can also be the target of attacks. [Published research](https://scholar.google.com/scholar?q=gpu+side+channel) shows that it might be possible to use side channel attacks on the GPU to leak data from other running models or processes in the same system. GPUs can also have
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README.md
* [TensorFlow Code Search](https://cs.opensource.google/tensorflow/tensorflow) Learn more about the [TensorFlow community](https://www.tensorflow.org/community) and how to [contribute](https://www.tensorflow.org/community/contribute). ## Courses * [Coursera](https://www.coursera.org/search?query=TensorFlow) * [Udacity](https://www.udacity.com/courses/all?search=TensorFlow)
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ci/official/utilities/get_versions.sh
# nightly job. update_version.py affects TF_VER_SUFFIX, TF_VER_PYTHON, and # TF_VER_FULL. # Note: in awk, the command '/search/ {commands}' applies the commands to any line that # matches the /search/ regular expression. "print $N" prints the Nth "field", # where fields are strings separated by whitespace.
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ci/official/README.md
3. **Google employees only**: Google employees can use an internal-only tool called "MLCI" that makes testing more convenient: it can execute any full CI job against a pending change. Search for "MLCI" internally to find it. You may invoke a CI script of your choice by following these instructions: ```bash cd tensorflow-git-dir # Here is a single-line example of running a script on Linux to build the
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RELEASE.md
* Adds `beta` hyperparameter to [FTRL](https://www.tensorflow.org/api_docs/python/tf/keras/optimizers/Ftrl) optimizer classes (Keras and others) to match [FTRL paper](https://research.google.com/pubs/archive/41159.pdf). * `Optimizer.__init__` now accepts a `gradient_aggregator` to allow for customization of how gradients are aggregated across devices, as well as
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ci/official/utilities/rename_and_verify_wheels.sh
if [[ "$TFCI_WHL_SIZE_LIMIT_ENABLE" == "1" ]] && [[ -n "$(find . -iname "*.whl" -size "+$TFCI_WHL_SIZE_LIMIT")" ]]; then echo "Error: Generated wheel is too big! Limit is $TFCI_WHL_SIZE_LIMIT" echo '(search for TFCI_WHL_SIZE_LIMIT to change it)' ls -sh *.whl exit 2 fi # Quick install checks venv=$(mktemp -d) "python${TFCI_PYTHON_VERSION}" -m venv "$venv" python="$venv/bin/python3"
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tensorflow/BUILD
# shared object directly. # # For example, from Python tf.load_op_library loads a custom op library (via # dlopen() on Linux), the library finds libtensorflow_framework.so (no # filesystem search takes place, since libtensorflow_framework.so has already # been loaded by pywrap_tensorflow) and registers its ops and kernels via # REGISTER_OP and REGISTER_KERNEL_BUILDER (which use symbols from
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ci/official/containers/linux_arm64/devel.usertools/wheel_verification.bats
} @test "Wheel conforms to upstream size limitations" { WHEEL_MEGABYTES=$(stat --format %s "$TF_WHEEL" | awk '{print int($1/(1024*1024))}') # Googlers: search for "test_tf_whl_size" case "$TF_WHEEL" in # CPU: *cpu*manylinux*) LARGEST_OK_SIZE=220 ;; # GPU: *manylinux*) LARGEST_OK_SIZE=580 ;; # Unknown: *)
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