[ROCm] Interface changes for StreamExecutor to support both CUDA and ROCm

1) StreamInterface::CudaStreamMemberHack()

Despite the fact that StreamExecutor and GPU common runtime are largely
orthogonal, this particular routine in StreamExecutor is used in GPU common
runtime and a couple of other operators. In this commit it's renamed as
StreamInterface::GpuStreamMemberHack() and their call sites are also changed.

2) StreamExecutorInterface::CudaContextHack()

This member is renamed to StramExecutorInterface::GpuContextHack().

Changes introduced in this commit includes:

- some StreamExecutor interfaces and CUDA implementation
- GPU common runtime related to interface changes in StreamExecutor
- operators affected by interface changes in StreamExecutor

1 files changed, 2 insertions, 2 deletions

diff --git a/tensorflow/contrib/tensorrt/kernels/trt_engine_op.cc b/tensorflow/contrib/tensorrt/kernels/trt_engine_op.cc
index 8a17eb02f1..3daf810a4b 100644
--- a/tensorflow/contrib/tensorrt/kernels/trt_engine_op.cc
+++ b/tensorflow/contrib/tensorrt/kernels/trt_engine_op.cc
@@ -230,7 +230,7 @@ void TRTEngineOp::ExecuteCalibration(tensorflow::OpKernelContext* ctx,
       reinterpret_cast<const cudaStream_t*>(ctx->op_device_context()
                                                 ->stream()
                                                 ->implementation()
-                                                ->CudaStreamMemberHack()));
+                                                ->GpuStreamMemberHack()));
   calib_res->calibrator_->setBatch(input_data, *stream);
   VLOG(2) << "Passed calibration data";
   ExecuteNativeSegment(ctx, helper);
@@ -380,7 +380,7 @@ void TRTEngineOp::ComputeAsync(tensorflow::OpKernelContext* ctx,
       reinterpret_cast<const cudaStream_t*>(ctx->op_device_context()
                                                 ->stream()
                                                 ->implementation()
-                                                ->CudaStreamMemberHack()));
+                                                ->GpuStreamMemberHack()));
 
   // TODO(jie): trt enqueue does not return error
   auto& trt_execution_context_ptr = engine_ctx_pair.second;