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tensorflow/c/eager/abstract_op_attrs.h
class AbstractOpAttrs { protected: enum AbstractOpAttrsKind { kEager, kTfrt }; explicit AbstractOpAttrs(AbstractOpAttrsKind kind) : kind_(kind) {} public: // Returns which subclass is this instance of. AbstractOpAttrsKind getKind() const { return kind_; } virtual ~AbstractOpAttrs() = default; // Returns the AbstractFunction as a FunctionDef. virtual void GetNameAttrList(
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed May 26 22:20:27 GMT 2021 - 2K bytes - Viewed (0) -
.github/ISSUE_TEMPLATE/tflite-other.md
issue in TensorFlow Lite that is not about Converters, Play Services or Ops body: - type: dropdown id: issue-type attributes: label: Issue Type description: What type of issue would you like to report? multiple: false options: - Bug - Build/Install - Performance - Support - Feature Request - Documentation Feature Request - Documentation Bug - Others validations: required: true - type: markdown attributes: value: | Please make sure that this is a bug. As per our
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ci/official/wheel_test/README.md
the local wheel file specified in the `requirements_lock_<python_version>.txt`. Packages are imported one by one in alphabetical order during runtime. The test doesn't identify package's order-dependent issues; for instance, importing "tf.foo" followed by "tf.bar" won't reveal that "tf.bar" depends on "tf.foo" being imported first. The `_api/v2/api_packages.txt` file is generated during the TensorFlow API v2
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tensorflow/c/c_api_test.cc
feed2_ = Placeholder(graph_, s_, "feed2"); ASSERT_EQ(TF_OK, TF_GetCode(s_)) << TF_Message(s_); constant_ = ScalarConst(10, graph_, s_); ASSERT_EQ(TF_OK, TF_GetCode(s_)) << TF_Message(s_); desc_ = TF_NewOperation(graph_, "AddN", "add"); TF_Output inputs[] = {{feed1_, 0}, {constant_, 0}}; TF_AddInputList(desc_, inputs, TF_ARRAYSIZE(inputs)); } ~CApiColocationTest() override {
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ci/official/containers/linux_arm64/setup.python.sh
fi # Install pip wget --retry-connrefused --waitretry=1 --read-timeout=20 --timeout=15 --tries=5 https://bootstrap.pypa.io/get-pip.py /usr/bin/$VERSION get-pip.py /usr/bin/$VERSION -m pip install --no-cache-dir --upgrade pip # Disable the cache dir to save image space, and install packages
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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)
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.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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