Amend install and build from source instructions

PiperOrigin-RevId: 524062840

Author: nitins17

site/en/guide/create_op.md

@@ -360,12 +360,13 @@ g++ -std=c++14 -shared zero_out.cc -o zero_out.so -fPIC ${TF_CFLAGS[@]} ${TF_LFL
 On macOS, the additional flag "-undefined dynamic_lookup" is required when
 building the `.so` file.
 
->   Note on `gcc` version `>=5`: gcc uses the new C++
->   [ABI](https://gcc.gnu.org/gcc-5/changes.html#libstdcxx) since version `5`. The binary pip
->   packages available on the TensorFlow website are built with `gcc4` that uses
->   the older ABI. If you compile your op library with `gcc>=5`, add
->   `-D_GLIBCXX_USE_CXX11_ABI=0` to the command line to make the library
->   compatible with the older abi.
+> Note on `gcc` version `>=5`: gcc uses the new C++
+> [ABI](https://gcc.gnu.org/gcc-5/changes.html#libstdcxx) since version `5`.
+> TensorFlow 2.8 and earlier were built with `gcc4` that uses the older ABI. If
+> you are using these versions of TensorFlow and are trying to compile your op
+> library with `gcc>=5`, add `-D_GLIBCXX_USE_CXX11_ABI=0` to the command line to
+> make the library compatible with the older ABI. TensorFlow 2.9+ packages are
+> compatible with the newer ABI by default.
 
 ### Compile the op using bazel (TensorFlow source installation)
 

site/en/install/pip.md

@@ -151,7 +151,7 @@ Note: GPU support is available for Ubuntu and Windows with CUDA®-enabled cards.
 ## Software requirements
 
 *   Python 3.8–3.11
-*   pip version 19.0 or higher for Linux (requires `manylinux2010` support) and
+*   pip version 19.0 or higher for Linux (requires `manylinux2014` support) and
     Windows. pip version 20.3 or higher for macOS.
 *   Windows Native Requires
     [Microsoft Visual C++ Redistributable for Visual Studio 2015, 2017 and 2019](https://support.microsoft.com/help/2977003/the-latest-supported-visual-c-downloads){:.external}

site/en/install/source.md

@@ -224,13 +224,8 @@ for
 Building TensorFlow from source can use a lot of RAM. If your system is
 memory-constrained, limit Bazel's RAM usage with: `--local_ram_resources=2048`.
 
-The [official TensorFlow packages](./pip.md) are built with a GCC
-toolchain that complies with the manylinux2010 package standard.
-
-For GCC 5 and later, compatibility with the older ABI can be built using:
-`--cxxopt="-D_GLIBCXX_USE_CXX11_ABI=0"`. ABI compatibility ensures that custom
-ops built against the official TensorFlow package continue to work with the
-GCC 5 built package.
+The [official TensorFlow packages](./pip.md) are built with a GCC toolchain that
+complies with the manylinux2014 package standard.
 
 ### Build the package
 

site/en/r1/guide/extend/op.md

@@ -348,12 +348,13 @@ g++ -std=c++11 -shared zero_out.cc -o zero_out.so -fPIC ${TF_CFLAGS[@]} ${TF_LFL
 On macOS, the additional flag "-undefined dynamic_lookup" is required when
 building the `.so` file.
 
->   Note on `gcc` version `>=5`: gcc uses the new C++
->   [ABI](https://gcc.gnu.org/gcc-5/changes.html#libstdcxx) since version `5`. The binary pip
->   packages available on the TensorFlow website are built with `gcc4` that uses
->   the older ABI. If you compile your op library with `gcc>=5`, add
->   `-D_GLIBCXX_USE_CXX11_ABI=0` to the command line to make the library
->   compatible with the older abi.
+> Note on `gcc` version `>=5`: gcc uses the new C++
+> [ABI](https://gcc.gnu.org/gcc-5/changes.html#libstdcxx) since version `5`.
+> TensorFlow 2.8 and earlier were built with `gcc4` that uses the older ABI. If
+> you are using these versions of TensorFlow and are trying to compile your op
+> library with `gcc>=5`, add `-D_GLIBCXX_USE_CXX11_ABI=0` to the command line to
+> make the library compatible with the older ABI. TensorFlow 2.9+ packages are
+> compatible with the newer ABI by default.
 
 ### Compile the op using bazel (TensorFlow source installation)