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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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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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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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