Use cudnn for dropout by default

src/operator/nn/dropout-inl.h

@@ -77,7 +77,7 @@ struct DropoutParam : public dmlc::Parameter<DropoutParam> {
     .describe("Whether to only turn on dropout during training or to also turn on for inference.");
     DMLC_DECLARE_FIELD(axes).set_default(TShape())
     .describe("Axes for variational dropout kernel.");
-    DMLC_DECLARE_FIELD(cudnn_off).set_default(dmlc::optional<bool>(true))
+    DMLC_DECLARE_FIELD(cudnn_off).set_default(dmlc::optional<bool>(false))
     .describe("Whether to turn off cudnn in dropout operator. "
               "This option is ignored if axes is specified.");
   }

tests/cpp/include/test_op.h

@@ -72,7 +72,7 @@ struct GPUStreamScope {
     : opContext_(*opContext) {
     CHECK_EQ(opContext_.run_ctx.stream == nullptr, true)
       << "Invalid runtime context stream state";
-    opContext_.run_ctx.stream = mshadow::NewStream<gpu>(true, true);
+    opContext_.run_ctx.stream = mshadow::NewStream<gpu>(true, true, opContext_.run_ctx.ctx.dev_id);
     CHECK_EQ(opContext_.run_ctx.stream != nullptr, true)
       << "Unable to allocate a GPU stream";
   }