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ci/official/containers/linux_arm64/setup.packages.sh
# # setup.packages.sh: Given a list of Ubuntu packages, install them and clean up. # Usage: setup.packages.sh <package_list.txt> set -e # Prevent apt install tzinfo from asking our location (assumes UTC) export DEBIAN_FRONTEND=noninteractive apt-get update # Remove commented lines and blank lines apt-get install -y --no-install-recommends $(sed -e '/^\s*#.*$/d' -e '/^\s*$/d' "$1" | sort -u)
Shell Script - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Sep 29 00:26:34 GMT 2023 - 1.1K bytes - Viewed (0) -
.github/bot_config.yml
* Refer [windows setup guide](https://www.tensorflow.org/install/gpu#windows_setup). * If you have above configuration and using _**Ubuntu/Linux**_ platform - * Try adding the CUDA, CUPTI, and cuDNN installation directories to the $LD_LIBRARY_PATH environment variable. * Refer [linux setup guide](https://www.tensorflow.org/install/gpu#linux_setup).
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ci/official/containers/linux_arm64/setup.sources.sh
# # setup.python.sh: Install a specific Python version and packages for it. # Usage: setup.python.sh <pyversion> <requirements.txt> # Sets up custom apt sources for our TF images. # Prevent apt install tzinfo from asking our location (assumes UTC) export DEBIAN_FRONTEND=noninteractive # Set up shared custom sources apt-get update apt-get install -y gnupg ca-certificates
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CONTRIBUTING.md
Changes to TensorFlow C++ code should conform to [Google C++ Style Guide](https://google.github.io/styleguide/cppguide.html). Use `clang-tidy` to check your C/C++ changes. To install `clang-tidy` on ubuntu:16.04, do: ```bash apt-get install -y clang-tidy ``` You can check a C/C++ file by doing: ```bash clang-format <my_cc_file> --style=google > /tmp/my_cc_file.cc diff <my_cc_file> /tmp/my_cc_file.cc
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WORKSPACE
annotations = NUMPY_ANNOTATIONS, python_interpreter_target = interpreter, requirements = "//:requirements_lock_" + TF_PYTHON_VERSION.replace(".", "_") + ".txt", ) load("@pypi//:requirements.bzl", "install_deps") install_deps() # Initialize the TensorFlow repository and all dependencies. # # The cascade of load() statements and tf_workspace?() calls works around the
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ci/official/utilities/rename_and_verify_wheels.sh
ls -sh *.whl exit 2 fi # Quick install checks venv=$(mktemp -d) "python${TFCI_PYTHON_VERSION}" -m venv "$venv" python="$venv/bin/python3" "$python" -m pip install *.whl $TFCI_PYTHON_VERIFY_PIP_INSTALL_ARGS if [[ "$TFCI_WHL_IMPORT_TEST_ENABLE" == "1" ]]; then "$python" -c 'import tensorflow as tf; t1=tf.constant([1,2,3,4]); t2=tf.constant([5,6,7,8]); print(tf.add(t1,t2).shape)'
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ci/official/containers/linux_arm64/builder.devtoolset/build_devtoolset.sh
patch -p1 < /gcc9-fixups.patch patch -p1 < /stringop_trunc.patch cd ../glibc-build ../glibc-src/configure --prefix=/usr --disable-werror --enable-obsolete-rpc --disable-profile make -j$(nproc) make install DESTDIR=${TARGET} cd .. # Symlinks in the binary distribution are set up for installation in /usr, we # need to fix up all the links to stay within /${TARGET}. /fixlinks.sh "/${TARGET}"
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tensorflow/api_template_v1.__init__.py
TensorFlow's `tf-nightly` package will soon be updated to TensorFlow 2.0. Please upgrade your code to TensorFlow 2.0: * https://www.tensorflow.org/guide/migrate Or install the latest stable TensorFlow 1.X release: * `pip install -U "tensorflow==1.*"` Otherwise your code may be broken by the change. """) # Make sure directory containing top level submodules is in
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tensorflow/c/BUILD
srcs = ["c_api_test.cc"], data = [ ":test_op1.so", "//tensorflow/cc/saved_model:saved_model_half_plus_two", ], linkopts = select({ "//tensorflow:macos": ["-headerpad_max_install_names"], "//conditions:default": [], }), tags = [ "no_cuda_asan", # TODO(b/181771536) "no_windows", # TODO(b/155444728) ],
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tensorflow/c/c_api.cc
if (!status->status.ok()) return nullptr; // Create a TF_Graph from the MetaGraphDef. This is safe as long as Session // extends using GraphDefs. The Graph instance is different, but equivalent // to the one used to create the session. // // TODO(jhseu): When Session is modified to take Graphs instead of // GraphDefs, return the Graph generated in LoadSavedModel().
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