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.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
This directory is dedicated to tests that require a built TensorFlow wheel file for testing, such as: * Ensuring the entire API is importable * Testing downstream projects against the wheel Ensure you have Bazel installed and accessible from your command line. These tests use hermetic Python. They also require a built TensorFlow wheel file and a requirements_lock file. The requirements_lock file is generated by the
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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(
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ci/official/containers/linux_arm64/devel.usertools/aarch64.bazelrc
# different compilation methods. E.g. for a PR to test a new CUDA version, set # the CACHEBUSTER to the PR number. build --action_env=CACHEBUSTER=20220325 # Use Python 3.X as installed in container image build --action_env PYTHON_BIN_PATH="/usr/local/bin/python3" build --python_path="/usr/local/bin/python3" # Build TensorFlow v2 build --define=tf_api_version=2 --action_env=TF2_BEHAVIOR=1
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ci/official/containers/linux_arm64/devel.usertools/setup_venv_test.sh
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.github/bot_config.yml
* Try Google Colab to use TensorFlow. * The easiest way to use TF will be to switch to [google colab](https://colab.sandbox.google.com/notebooks/welcome.ipynb#recent=true). You get pre-installed latest stable TF version. Also you can use ```pip install``` to install any other preferred TF version. * It has an added advantage since you can you easily switch to different hardware accelerators (cpu, gpu, tpu) as per the task.
Others - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Tue Oct 17 11:48:07 GMT 2023 - 4K bytes - Viewed (0) -
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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ci/official/containers/linux_arm64/Dockerfile
FROM ubuntu:20.04 as builder ################################################################################ # Install devtoolset build dependencies COPY setup.packages.sh setup.packages.sh COPY builder.packages.txt builder.packages.txt RUN /setup.packages.sh /builder.packages.txt RUN update-ca-certificates # Install devtoolset-9 in /dt10 with glibc 2.17 and libstdc++ 4.8, for building # manylinux2014-compatible packages.
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.github/workflows/pylint-presubmit.yml
- name: Set up Python 3.9 uses: actions/setup-python@2c3dd9e7e29afd70cc0950079bde6c979d1f69f9 # v4.3.1 with: python-version: "3.9" - name: Install Python dependencies run: | python -m pip install --upgrade pip pip install pylint==2.13.9 numpy wheel - name: Run PyLint on changed files run: |
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ci/official/requirements_updater/WORKSPACE
py_repositories() load("@rules_python//python:repositories.bzl", "python_register_multi_toolchains") # buildifier: disable=same-origin-load load("@rules_python//python/pip_install:repositories.bzl", "pip_install_dependencies") default_python_version = "3.10" load( "//:updater_config_repository.bzl", "updater_config_repository", # @unused )
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