-others += $(LINKS_DSO_PROGRAM)
-others-noinstall += $(LINKS_DSO_PROGRAM)
-
 $(objpfx)test-container : $(libsupport)
 $(objpfx)shell-container : $(libsupport)
 $(objpfx)echo-container : $(libsupport)
diff --git a/support/links-dso-program.cc b/support/links-dso-program.cc
index 8ff3155..f9d2b77 100644
--- a/support/links-dso-program.cc
+++ b/support/links-dso-program.cc
@@ -3,6 +3,11 @@
    backported.  */

// TFE_Execute in the same thread will use the device policy specified here
// instead of the device policy used to construct the context. This has no
// effect on the device policy used by other program threads.
TF_CAPI_EXPORT extern void TFE_ContextSetThreadLocalDevicePlacementPolicy(
    TFE_Context* ctx, TFE_ContextDevicePlacementPolicy policy);

// Returns the device placement policy to be used by this context in the current

# are made to the Windows 10 SDK.
RUN $old_path = [Environment]::GetEnvironmentVariable(\"PATH\", \"Machine\"); \
    [Environment]::SetEnvironmentVariable(\"PATH\", $old_path + \";C:\Program Files (x86)\Windows Kits\10\App Certification Kit\", \"Machine\");

# Install WiX toolset (v4) - Necessary for MSI Installer/Signing builds
RUN dotnet tool install --global wix

# Install msys2, packages and add to path.

*Nightly binaries are available for testing using the
[tf-nightly](https://pypi.python.org/pypi/tf-nightly) and
[tf-nightly-cpu](https://pypi.python.org/pypi/tf-nightly-cpu) packages on PyPi.*

#### *Try your first TensorFlow program*

```shell
$ python
```

```python
>>> import tensorflow as tf
>>> tf.add(1, 2).numpy()
3
>>> hello = tf.constant('Hello, TensorFlow!')
>>> hello.numpy()
b'Hello, TensorFlow!'
```

  EXPECT_THAT(TF_Message(status.get()), HasSubstr("assertion failed"));

  // Note that future collectives with the same context do not work at the
  // moment; once canceled, the collective executor requires the program to be
  // restarted / context to be reset.
}

TEST(PARALLEL_DEVICE_LIB, TestDifferentShapes) {
  std::unique_ptr<TF_Status, decltype(&TF_DeleteStatus)> status(
      TF_NewStatus(), TF_DeleteStatus);

covering security practices for the entirety of the TensorFlow ecosystem.

## TensorFlow models are programs

TensorFlow
[**models**](https://developers.google.com/machine-learning/glossary/#model) (to
use a term commonly used by machine learning practitioners) are expressed as
programs that TensorFlow executes. TensorFlow programs are encoded as
computation
[**graphs**](https://developers.google.com/machine-learning/glossary/#graph).

  Args:
    environ_cp: (Dict) copy of the os.environ.

  Returns:
    string value for clang_compiler_path.
  """
  # Default path if clang-16 is installed by using apt-get install
  default_clang_path = 'C:/Program Files/LLVM/bin/clang.exe'
  if not os.path.exists(default_clang_path):
    default_clang_path = which('clang') or ''

  clang_compiler_path = prompt_loop_or_load_from_env(
      environ_cp,

// APIs for Counter without label.
typedef struct TFE_MonitoringCounter0 TFE_MonitoringCounter0;
// Returns a new Counter metric object. The caller should manage lifetime of
// the object. Using duplicate metric name will crash the program with fatal
// error.
TF_CAPI_EXPORT extern TFE_MonitoringCounter0* TFE_MonitoringNewCounter0(
    const char* name, TF_Status* status, const char* description);
// Deletes the Counter object.

    1.  To switch tf.keras to use Keras 2 (tf-keras), set the environment
        variable TF_USE_LEGACY_KERAS=1 directly or in your python program by
        import os;os.environ["TF_USE_LEGACY_KERAS"]=1. Please note that this
        will set it for all packages in your Python runtime program

*   1.  Change import of keras from tensorflow as follows
*   import tensorflow.keras as keras and import keras to import tf_keras as
    keras