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ci/official/wheel_test/README.md
and a requirements_lock file. The requirements_lock file is generated by the [requirements_updater](https://github.com/tensorflow/tensorflow/tree/master/ci/official/requirements_updater) tool using the path to this wheel file. ### Hermetic Python For details about hermetic Python and setting its toolchain version, see
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ci/official/requirements_updater/WORKSPACE
# buildifier: disable=load-on-top workspace(name = "requirements_updater") # buildifier: disable=load-on-top load("@bazel_tools//tools/build_defs/repo:http.bzl", "http_archive") http_archive( name = "bazel_skylib", sha256 = "74d544d96f4a5bb630d465ca8bbcfe231e3594e5aae57e1edbf17a6eb3ca2506", urls = [
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ci/official/requirements_updater/README.md
``` To specify the version via a Bazel command argument, use the following: ``` --repo_env=TF_PYTHON_VERSION=3.11 ``` ## Requirements updater Requirements updater is a standalone tool, intended to simplify process of updating requirements for multiple minor versions of Python. It takes in a file with a set of dependencies, and produces a more detailed
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ci/official/README.md
1. Creating a PR and observing the presubmit test results 2. Running the CI scripts locally, as explained below 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
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ci/devinfra/docker_windows/Dockerfile
$old_path = [Environment]::GetEnvironmentVariable(\"PATH\", \"Machine\"); \ [Environment]::SetEnvironmentVariable(\"PATH\", $old_path + \";C:\VS\VC\Tools\MSVC\14.33.31629\bin\Hostx64\x64;C:\VS\Common7\Tools;C:\VS\MSBuild\Current\Bin\", \"Machine\"); # Add signtool.exe to the PATH. Note this path may need to be edited if updates # are made to the Windows 10 SDK.
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tensorflow/c/eager/c_api_remote_test_util.h
// is not ready when we start running an op or a function. void TestRemoteExecuteSilentCopies(bool async, bool remote, bool func, bool heavy_load_on_streaming_rpc, bool remote_func_outputs = false, bool has_packed_input = false);
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tensorflow/c/eager/custom_device_testutil.h
#include "tensorflow/c/tf_status.h" void RegisterLoggingDevice(TFE_Context* context, const char* name, bool strict_scope_placement, bool* arrived_flag, bool* executed_flag, TF_Status* status); void AllocateLoggingDevice(const char* name, bool* arrived_flag, bool* executed_flag, TFE_CustomDevice** device, void** device_info);
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tensorflow/c/eager/abstract_op_attrs.h
virtual void GetNameAttrList( tensorflow::NameAttrList* name_and_attrs) const = 0; virtual bool GetInt(absl::string_view, int64_t* result) const = 0; virtual bool GetFloat(absl::string_view attr_name, float* result) const = 0; virtual bool GetBool(absl::string_view attr_name, bool* result) const = 0; virtual bool GetType(absl::string_view attr_name, DataType* result) const = 0; virtual Status GetTypeList(
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tensorflow/c/c_api_macros.h
#else #define TF_CAPI_EXPORT __attribute__((visibility("default"))) #endif // TF_CAPI_WEAK #endif // _WIN32 #endif // SWIG // TF_Bool is the C API typedef for unsigned char, while TF_BOOL is // the datatype for boolean tensors. #ifndef TF_Bool #define TF_Bool unsigned char #endif // TF_Bool // Macro used to calculate struct size for maintaining ABI stability across // different struct implementations. #ifndef TF_OFFSET_OF_END
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.gitignore
/xla_configure.bazelrc /bazel-* /bazel_pip /tools/python_bin_path.sh /tensorflow/tools/git/gen /pip_test /_python_build *.pyc __pycache__ *.swp .vscode/ cmake_build/ tensorflow/contrib/cmake/_build/ .idea/** /build/ [Bb]uild/ /build_output/ /tensorflow/core/util/version_info.cc /tensorflow/python/framework/fast_tensor_util.cpp /tensorflow/lite/gen/** /tensorflow/lite/tools/make/downloads/**
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