#include <list>
#include <set>
#include <string>
#include <unordered_map>
#include <vector>

#include "tensorflow/c/c_api.h"

// clang-format off
// Required for IS_MOBILE_PLATFORM
#include "tensorflow/core/platform/platform.h"
// clang-format on

#include "tensorflow/c/tf_status_internal.h"
#include "tensorflow/c/tf_tensor_internal.h"
#if !defined(IS_MOBILE_PLATFORM) && !defined(IS_SLIM_BUILD)

PYTHON_VERSIONS=("python3.9" "python3.10" "python3.11" "python3.12")
for v in "${PYTHON_VERSIONS[@]}"; do
  ln -s "/usr/local/include/${v}" "/${TARGET}/usr/include/x86_64-linux-gnu/${v}"
done

# Patch glibc to be compatable with modern clang
case "${VERSION}" in
devtoolset-9)
  cd /
  patch -p0 < /glibc2.17-inline.patch
;;

			"-ferror-limit=0",
			// Apple clang version 1.7 (tags/Apple/clang-77) (based on LLVM 2.9svn)
			// doesn't have -Wno-unneeded-internal-declaration, so we need yet another
			// flag to disable the warning. Yes, really good diagnostics, clang.
			"-Wno-unknown-warning-option",
			"-Wno-unneeded-internal-declaration",
			"-Wno-unused-function",
			"-Qunused-arguments",
			// Clang embeds prototypes for some builtin functions,

it is expected to work. It is disabled by default when cross-compiling
as well as when the CC environment variable is unset and the default
C compiler (typically gcc or clang) cannot be found on the system PATH.
You can override the default by setting the CGO_ENABLED
environment variable when running the go tool: set it to 1 to enable
the use of cgo, and to 0 to disable it. The go tool will set the

        "@local_config_cuda//:is_cuda_enabled",
        "@local_config_cuda//cuda:using_config_cuda",
    ),
)

# Config setting that is satisfied when CUDA device code should be compiled
# with clang. It does not imply that CUDA support has been enabled.
alias(
    name = "is_cuda_compiler_clang",
    actual = if_oss(
        "@local_config_cuda//:is_cuda_compiler_clang",
        "@local_config_cuda//cuda:TRUE",

#include "tensorflow/c/eager/c_api.h"

#include <string.h>

#include <memory>
#include <string>

// clang-format off
#include "tensorflow/core/framework/attr_value.pb.h"
#include "tensorflow/core/framework/types.pb.h"
#include "tensorflow/core/platform/platform.h"
// clang-format on

#include "absl/strings/match.h"
#include "tensorflow/c/eager/c_api_experimental.h"

# Release 2.16.1

## TensorFlow

*   TensorFlow Windows Build:

    *   Clang is now the default compiler to build TensorFlow CPU wheels on the
        Windows Platform starting with this release. The currently supported
        version is LLVM/clang 17. The official Wheels-published on PyPI will be
        based on Clang; however, users retain the option to build wheels using

= vendor/github.com/blang/semver/v4 licensed under: =

The MIT License

Copyright (c) 2014 Benedikt Lang <github at benediktlang.de>

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell

				href="#searchOptions" class="badge badge-primary"
				data-toggle="control-options"> <c:if test="${empty lang}">
						<la:message key="labels.searchoptions_all" />
					</c:if> <c:if test="${!empty lang}">
						<c:forEach var="sLang" items="${lang}">
							<c:forEach var="item" items="${langItems}">
								<c:if test="${item.value==sLang}">${f:h(item.label)}</c:if>
							</c:forEach>
						</c:forEach>
					</c:if>
			</a></li>

				href="#searchOptions" class="badge badge-primary"
				data-toggle="control-options"> <c:if test="${empty lang}">
						<la:message key="labels.searchoptions_all" />
					</c:if> <c:if test="${!empty lang}">
						<c:forEach var="sLang" items="${lang}">
							<c:forEach var="item" items="${langItems}">
								<c:if test="${item.value==sLang}">${f:h(item.label)}</c:if>
							</c:forEach>
						</c:forEach>
					</c:if>
			</a></li>