<p>
The Go memory model specifies the conditions under which
reads of a variable in one goroutine can be guaranteed to
observe values produced by writes to the same variable in a different goroutine.
</p>


<h3 id="advice">Advice</h3>

<p>
Programs that modify data being simultaneously accessed by multiple goroutines
must serialize such access.
</p>

<p>

access modes, and other special-purpose flags....

	{
		Name:   "symlink",
		Data:   []byte("../link/target"),
		Method: Deflate,
		Mode:   0755 | fs.ModeSymlink,
	},
	{
		Name:   "device",
		Data:   []byte("device file"),
		Method: Deflate,
		Mode:   0755 | fs.ModeDevice,
	},
	{
		Name:   "chardevice",
		Data:   []byte("char device file"),
		Method: Deflate,
		Mode:   0755 | fs.ModeDevice | fs.ModeCharDevice,
	},
}

func TestWriter(t *testing.T) {

  csession.CloseAndDelete(s);
  ASSERT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s);
  TF_DeleteGraph(graph);
  TF_DeleteStatus(s);
}

// If `device` is non-empty, run Min op on that device.
// Otherwise run it on the default device (CPU).
void RunMinTest(const string& device, bool use_XLA) {
  TF_Status* s = TF_NewStatus();
  TF_Graph* graph = TF_NewGraph();

  // Make a placeholder operation.

			return nil, fmt.Errorf("duplicate endpoints found")
		}
		uniqueArgs.Add(arg)
		endpoints = append(endpoints, endpoint)
	}

	return endpoints, nil
}

// Checks if there are any cross device mounts.
func checkCrossDeviceMounts(endpoints Endpoints) (err error) {
	var absPaths []string
	for _, endpoint := range endpoints {
		if endpoint.IsLocal {
			var absPath string

  mutex_lock l(graph->mu);
  return TF_NewOperationLocked(graph, op_type, oper_name);
}

void TF_SetDevice(TF_OperationDescription* desc, const char* device) {
  desc->node_builder.Device(device);
}

void TF_AddInput(TF_OperationDescription* desc, TF_Output input) {
  desc->node_builder.Input(&input.oper->node, input.index);
}

  opts->opts.validate_colocation_constraints = enable;
}

// Load a Pluggable Device library.
// On success, returns the handle to library in result and return OK from the
// function. Otherwise return nullptr in result and error Status from the
// function.
//
// If `library_filename` has already been loaded, we return a cached handle.
// Device and Kernels/Ops are registered as globals when a library is loaded
// for the first time.

[CUDA-enabled GPU cards](https://www.tensorflow.org/install/gpu) *(Ubuntu and
Windows)*:

```
$ pip install tensorflow
```

Other devices (DirectX and MacOS-metal) are supported using
[Device Plugins](https://www.tensorflow.org/install/gpu_plugins#available_devices).

A smaller CPU-only package is also available:

```
$ pip install tensorflow-cpu
```

    name = "is_cuda_enabled",
    actual = if_oss(
        "@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",

	if err != nil {
		return nil, toStorageErr(err)
	}
	return respBody, nil
}

// Stringer provides a canonicalized representation of network device.
func (client *storageRESTClient) String() string {
	return client.endpoint.String()
}

// IsOnline - returns whether client failed to connect or not.
func (client *storageRESTClient) IsOnline() bool {