XLA open-sourcing: remove dependency on util/process/subprocess.h.

Add to TensorFlow a subset of the functionality of SubProcess to support the
open-sourceable parts of XLA and support TensorFlow's own testing.

On google3 let it use the internal SubProcess from google3.  In the open-source
world, use the TF implementation of the feature subset.

Modify XLA and some TF tests to use the TF SubProcess.
Change: 139114815

1 files changed, 1 insertions, 22 deletions

diff --git a/tensorflow/core/platform/test.h b/tensorflow/core/platform/test.h
index 0046b6c3f1..295957c3d8 100644
--- a/tensorflow/core/platform/test.h
+++ b/tensorflow/core/platform/test.h
@@ -21,6 +21,7 @@ limitations under the License.
 
 #include "tensorflow/core/platform/macros.h"
 #include "tensorflow/core/platform/platform.h"
+#include "tensorflow/core/platform/subprocess.h"
 #include "tensorflow/core/platform/types.h"
 
 // As of September 2016, we continue to attempt to avoid the use of gmock aka
@@ -48,28 +49,6 @@ string TensorFlowSrcRoot();
 // Returns the same value for the lifetime of the process.
 int RandomSeed();
 
-// Supports spawning and killing child processes, for use in
-// multi-process testing.
-class SubProcess {
- public:
-  virtual ~SubProcess() {}
-
-  // Starts the subprocess. Returns true on success, otherwise false.
-  // NOTE: This method is not thread-safe.
-  virtual bool Start() = 0;
-
-  // Kills the subprocess with the given signal number. Returns true
-  // on success, otherwise false.
-  // NOTE: This method is not thread-safe.
-  virtual bool Kill(int signal) = 0;
-
- protected:
-  SubProcess() {}
-
- private:
-  TF_DISALLOW_COPY_AND_ASSIGN(SubProcess);
-};
-
 // Returns an object that represents a child process that will be
 // launched with the given command-line arguments `argv`. The process
 // must be explicitly started by calling the Start() method on the