diff --git a/Makefile b/Makefile
index 7a7aaa6..bd80735 100644
--- a/Makefile
+++ b/Makefile
@@ -32,11 +32,11 @@ zero_out_pip_pkg: $(ZERO_OUT_TARGET_LIB)
 time_two_gpu_only: $(TIME_TWO_GPU_ONLY_TARGET_LIB)
 
 $(TIME_TWO_GPU_ONLY_TARGET_LIB): tensorflow_time_two/cc/kernels/time_two_kernels.cu.cc
-	$(NVCC) -std=c++11 -c -o $@ $^  $(CFLAGS) $(TF_LFLAGS) -D GOOGLE_CUDA=1 -x cu -Xcompiler -fPIC -DNDEBUG --expt-relaxed-constexpr
+	$(NVCC) -std=c++11 -c -o $@ $^  $(TF_CFLAGS) -D GOOGLE_CUDA=1 -x cu -Xcompiler -fPIC -DNDEBUG --expt-relaxed-constexpr
 
 time_two_op: $(TIME_TWO_TARGET_LIB)
 $(TIME_TWO_TARGET_LIB): $(TIME_TWO_SRCS) $(TIME_TWO_GPU_ONLY_TARGET_LIB)
-	$(CXX) $(CFLAGS) -o $@ $^ ${LDFLAGS}  -D GOOGLE_CUDA=1  -I/usr/local/cuda/targets/x86_64-linux/include -L/usr/local/cuda-10.0/targets/x86_64-linux/lib -lcudart
+	$(CXX) $(CFLAGS) -o $@ $^ ${LDFLAGS}  -D GOOGLE_CUDA=1  -I/usr/local/cuda/targets/x86_64-linux/include -L/usr/local/cuda/targets/x86_64-linux/lib -lcudart
 
 time_two_test: tensorflow_time_two/python/ops/time_two_ops_test.py tensorflow_time_two/python/ops/time_two_ops.py $(TIME_TWO_TARGET_LIB)
 	$(PYTHON_BIN_PATH) tensorflow_time_two/python/ops/time_two_ops_test.py
diff --git a/README.md b/README.md
index c0af06e..785f848 100644
--- a/README.md
+++ b/README.md
@@ -340,3 +340,4 @@ Here are some issues our users have ran into and possible solutions. Feel free t
 |  Do I need both the toolchain and the docker image? | Yes, you will need both to get the same setup we use to build TensorFlow's official pip package. |
 |  How do I also create a manylinux2010 binary? | You can use [auditwheel](https://github.com/pypa/auditwheel) version 2.0.0 or newer.  |
 |  What do I do if I get `ValueError: Cannot repair wheel, because required library "libtensorflow_framework.so.1" could not be located` or `ValueError: Cannot repair wheel, because required library "libtensorflow_framework.so.2" could not be located` with auditwheel? | Please see [this related issue](https://github.com/tensorflow/tensorflow/issues/31807).  |
+| What do I do if I get `In file included from tensorflow_time_two/cc/kernels/time_two_kernels.cu.cc:21:0: /usr/local/lib/python3.6/dist-packages/tensorflow/include/tensorflow/core/util/gpu_kernel_helper.h:22:10: fatal error: third_party/gpus/cuda/include/cuda_fp16.h: No such file or directory` | Copy the CUDA header files to target directory. `mkdir -p /usr/local/lib/python3.6/dist-packages/tensorflow/include/third_party/gpus/cuda/include && cp -r /usr/local/cuda/targets/x86_64-linux/include/* /usr/local/lib/python3.6/dist-packages/tensorflow/include/third_party/gpus/cuda/include` |