TensorFlow 集成TensorRT环境配置之bazel编译不成功


./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

INFO: From Compiling tensorflow/core/kernels/cwise_op_gpu_complex.cu.cc [for host]:
./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

INFO: From Compiling tensorflow/core/kernels/cwise_op_gpu_round.cu.cc [for host]:
./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

INFO: From Compiling tensorflow/core/kernels/cwise_op_gpu_exp.cu.cc [for host]:
./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

INFO: From Compiling tensorflow/core/kernels/cwise_op_gpu_sign.cu.cc [for host]:
./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

INFO: From Compiling tensorflow/core/kernels/cwise_op_gpu_not_equal_to.cu.cc [for host]:
./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

INFO: From Compiling tensorflow/core/kernels/cwise_op_gpu_sigmoid.cu.cc [for host]:
./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

INFO: From Compiling tensorflow/core/kernels/cwise_op_gpu_add.cu.cc [for host]:
./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

INFO: From Compiling tensorflow/core/kernels/cwise_op_gpu_acosh.cu.cc [for host]:
./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

INFO: From Compiling tensorflow/core/kernels/cwise_op_gpu_abs.cu.cc [for host]:
./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

INFO: From Compiling tensorflow/core/kernels/cwise_op_gpu_floor.cu.cc [for host]:
./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

INFO: From Compiling tensorflow/core/kernels/cwise_op_gpu_log1p.cu.cc [for host]:
./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

INFO: From Compiling tensorflow/core/kernels/cwise_op_gpu_equal_to.cu.cc [for host]:
./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

INFO: From Compiling tensorflow/core/kernels/cwise_op_bessel.cu.cc [for host]:
./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

INFO: From Compiling tensorflow/core/kernels/cwise_op_gpu_greater.cu.cc [for host]:
./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

INFO: From Compiling tensorflow/core/kernels/cwise_op_gpu_select.cu.cc [for host]:
./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

INFO: From Compiling tensorflow/core/kernels/cwise_op_gpu_imag.cu.cc [for host]:
./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

INFO: From Compiling tensorflow/core/kernels/cwise_op_gpu_sin.cu.cc [for host]:
./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

INFO: From Compiling tensorflow/core/kernels/cwise_op_gpu_rsqrt.cu.cc [for host]:
./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

INFO: From Compiling tensorflow/core/kernels/maxpooling_op_gpu.cu.cc [for host]:
./tensorflow/core/util/tensor_format.h(124): warning: missing return statement at end of non-void function "tensorflow::GetTensorSpatialDims"

./tensorflow/core/util/tensor_format.h(148): warning: missing return statement at end of non-void function "tensorflow::GetTensorDimsFromSpatialDims"

./tensorflow/core/util/tensor_format.h(124): warning: missing return statement at end of non-void function "tensorflow::GetTensorSpatialDims"

./tensorflow/core/util/tensor_format.h(148): warning: missing return statement at end of non-void function "tensorflow::GetTensorDimsFromSpatialDims"

INFO: From Compiling tensorflow/core/kernels/cwise_op_gpu_lgamma.cu.cc [for host]:
./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

INFO: From Compiling tensorflow/core/kernels/cwise_op_gpu_bitwise_and.cu.cc [for host]:
./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

INFO: From Compiling tensorflow/core/kernels/cwise_op_gpu_minimum.cu.cc [for host]:
./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

INFO: From Compiling tensorflow/core/kernels/cwise_op_gpu_maximum.cu.cc [for host]:
./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

INFO: From Compiling tensorflow/core/kernels/cwise_op_gpu_atanh.cu.cc [for host]:
./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

INFO: From Compiling tensorflow/core/kernels/cwise_op_gpu_logical_and.cu.cc [for host]:
./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

INFO: From Compiling tensorflow/core/kernels/cwise_op_gpu_neg.cu.cc [for host]:
./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

INFO: From Compiling tensorflow/core/kernels/cwise_op_gpu_logical_not.cu.cc [for host]:
./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

INFO: From Compiling tensorflow/core/kernels/cwise_op_gpu_zeta.cu.cc [for host]:
./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

INFO: From Compiling tensorflow/core/kernels/cwise_op_gpu_bitwise_or.cu.cc [for host]:
./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

INFO: From Compiling tensorflow/core/kernels/cwise_op_gpu_asinh.cu.cc [for host]:
./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

INFO: From Compiling tensorflow/core/kernels/cwise_op_gpu_tan.cu.cc [for host]:
./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

INFO: From Compiling tensorflow/core/kernels/cwise_op_gpu_invert.cu.cc [for host]:
./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

INFO: From Compiling tensorflow/core/kernels/cwise_op_gpu_squared_difference.cu.cc [for host]:
./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

INFO: From Compiling tensorflow/core/kernels/cwise_op_gpu_asin.cu.cc [for host]:
./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

INFO: From Compiling tensorflow/core/kernels/cwise_op_gpu_mod.cu.cc [for host]:
./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

INFO: From Compiling tensorflow/core/kernels/cwise_op_gpu_erfc.cu.cc [for host]:
./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

INFO: From Compiling tensorflow/core/kernels/cwise_op_gpu_cos.cu.cc [for host]:
./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

INFO: From Compiling tensorflow/core/kernels/cwise_op_gpu_logical_or.cu.cc [for host]:
./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

INFO: From Compiling tensorflow/core/kernels/cwise_op_gpu_isfinite.cu.cc [for host]:
./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

INFO: From Compiling tensorflow/core/kernels/cwise_op_gpu_bitwise_xor.cu.cc [for host]:
./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

INFO: From Compiling tensorflow/core/kernels/cwise_op_clip_gpu.cu.cc [for host]:
./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

INFO: From Compiling tensorflow/core/kernels/cwise_op_gpu_greater_equal.cu.cc [for host]:
./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

INFO: From Compiling tensorflow/core/kernels/cwise_op_gpu_pow.cu.cc [for host]:
./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

INFO: From Compiling tensorflow/core/kernels/cwise_op_gpu_less_equal.cu.cc [for host]:
./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

INFO: From Compiling tensorflow/core/kernels/cwise_op_gpu_sub.cu.cc [for host]:
./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

INFO: From Compiling tensorflow/core/kernels/cwise_op_gpu_floor_div.cu.cc [for host]:
./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

INFO: From Compiling tensorflow/core/kernels/cwise_op_gpu_left_shift.cu.cc [for host]:
./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(889): warning: pointless comparison of unsigned integer with zero
          detected during:
            instantiation of "const T tensorflow::functor::left_shift_op<T>::operator()(const T &, const T &) const [with T=tensorflow::uint8]"
external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h(420): here
            instantiation of "Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::CoeffReturnType Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::coeff(Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::Index) const [with BinaryOp=tensorflow::functor::left_shift_op<tensorflow::uint8>, LeftArgType=const Eigen::TensorMap<Eigen::Tensor<const unsigned char, 1, 1, int>, 16, Eigen::MakePointer>, RightArgType=const Eigen::TensorMap<Eigen::Tensor<const tensorflow::uint8, 1, 1, Eigen::DenseIndex>, 16, Eigen::MakePointer>, Device=Eigen::GpuDevice]"
external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h(137): here
            instantiation of "void Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LeftArgType, RightArgType>, Device>::evalScalar(Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LeftArgType, RightArgType>, Device>::Index) [with LeftArgType=Eigen::TensorMap<Eigen::Tensor<tensorflow::uint8, 1, 1, int>, 16, Eigen::MakePointer>, RightArgType=const Eigen::TensorCwiseBinaryOp<tensorflow::functor::left_shift_op<tensorflow::uint8>, const Eigen::TensorMap<Eigen::Tensor<const unsigned char, 1, 1, int>, 16, Eigen::MakePointer>, const Eigen::TensorMap<Eigen::Tensor<const tensorflow::uint8, 1, 1, Eigen::DenseIndex>, 16, Eigen::MakePointer>>, Device=Eigen::GpuDevice]"
external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h(210): here
            instantiation of "void Eigen::internal::EigenMetaKernelEval<Evaluator, Index, Vectorizable>::run(Evaluator &, Index, Index, Index) [with Evaluator=Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<tensorflow::uint8, 1, 1, int>, 16, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<tensorflow::functor::left_shift_op<tensorflow::uint8>, const Eigen::TensorMap<Eigen::Tensor<const unsigned char, 1, 1, int>, 16, Eigen::MakePointer>, const Eigen::TensorMap<Eigen::Tensor<const tensorflow::uint8, 1, 1, Eigen::DenseIndex>, 16, Eigen::MakePointer>>>, Eigen::GpuDevice>, Index=Eigen::DenseIndex, Vectorizable=false]"
external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h(243): here
            instantiation of "void Eigen::internal::EigenMetaKernel(Evaluator, Index) [with Evaluator=Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<tensorflow::uint8, 1, 1, int>, 16, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<tensorflow::functor::left_shift_op<tensorflow::uint8>, const Eigen::TensorMap<Eigen::Tensor<const unsigned char, 1, 1, int>, 16, Eigen::MakePointer>, const Eigen::TensorMap<Eigen::Tensor<const tensorflow::uint8, 1, 1, Eigen::DenseIndex>, 16, Eigen::MakePointer>>>, Eigen::GpuDevice>, Index=Eigen::DenseIndex]"
external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h(260): here
            instantiation of "void Eigen::internal::TensorExecutor<Expression, Eigen::GpuDevice, Vectorizable>::run(const Expression &, const Eigen::GpuDevice &) [with Expression=const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<tensorflow::uint8, 1, 1, int>, 16, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<tensorflow::functor::left_shift_op<tensorflow::uint8>, const Eigen::TensorMap<Eigen::Tensor<const unsigned char, 1, 1, int>, 16, Eigen::MakePointer>, const Eigen::TensorMap<Eigen::Tensor<const tensorflow::uint8, 1, 1, Eigen::DenseIndex>, 16, Eigen::MakePointer>>>, Vectorizable=false]"
external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h(35): here
            instantiation of "Eigen::TensorDevice<ExpressionType, DeviceType> &Eigen::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived &) [with ExpressionType=Eigen::TensorMap<Eigen::Tensor<tensorflow::uint8, 1, 1, int>, 16, Eigen::MakePointer>, DeviceType=tensorflow::functor::GPUDevice, OtherDerived=Eigen::TensorCwiseBinaryOp<tensorflow::functor::left_shift_op<tensorflow::uint8>, const Eigen::TensorMap<Eigen::Tensor<const unsigned char, 1, 1, int>, 16, Eigen::MakePointer>, const Eigen::TensorMap<Eigen::Tensor<const tensorflow::uint8, 1, 1, Eigen::DenseIndex>, 16, Eigen::MakePointer>>]"
./tensorflow/core/kernels/cwise_ops_gpu_common.cu.h(55): here
            instantiation of "void tensorflow::functor::BinaryFunctor<tensorflow::functor::GPUDevice, Functor, NDIMS, has_errors>::operator()(const tensorflow::functor::GPUDevice &, Functor::tout_type, Functor::tin_type, Functor::tin_type, __nv_bool *) [with Functor=tensorflow::functor::left_shift<tensorflow::uint8>, NDIMS=1, has_errors=false]"
tensorflow/core/kernels/cwise_op_gpu_left_shift.cu.cc(22): here

./tensorflow/core/kernels/cwise_ops.h(889): warning: pointless comparison of unsigned integer with zero
          detected during:
            instantiation of "const T tensorflow::functor::left_shift_op<T>::operator()(const T &, const T &) const [with T=tensorflow::uint16]"
external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h(420): here
            instantiation of "Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::CoeffReturnType Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::coeff(Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::Index) const [with BinaryOp=tensorflow::functor::left_shift_op<tensorflow::uint16>, LeftArgType=const Eigen::TensorMap<Eigen::Tensor<const unsigned short, 1, 1, int>, 16, Eigen::MakePointer>, RightArgType=const Eigen::TensorMap<Eigen::Tensor<const tensorflow::uint16, 1, 1, Eigen::DenseIndex>, 16, Eigen::MakePointer>, Device=Eigen::GpuDevice]"
external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h(137): here
            instantiation of "void Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LeftArgType, RightArgType>, Device>::evalScalar(Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LeftArgType, RightArgType>, Device>::Index) [with LeftArgType=Eigen::TensorMap<Eigen::Tensor<tensorflow::uint16, 1, 1, int>, 16, Eigen::MakePointer>, RightArgType=const Eigen::TensorCwiseBinaryOp<tensorflow::functor::left_shift_op<tensorflow::uint16>, const Eigen::TensorMap<Eigen::Tensor<const unsigned short, 1, 1, int>, 16, Eigen::MakePointer>, const Eigen::TensorMap<Eigen::Tensor<const tensorflow::uint16, 1, 1, Eigen::DenseIndex>, 16, Eigen::MakePointer>>, Device=Eigen::GpuDevice]"
external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h(210): here
            instantiation of "void Eigen::internal::EigenMetaKernelEval<Evaluator, Index, Vectorizable>::run(Evaluator &, Index, Index, Index) [with Evaluator=Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<tensorflow::uint16, 1, 1, int>, 16, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<tensorflow::functor::left_shift_op<tensorflow::uint16>, const Eigen::TensorMap<Eigen::Tensor<const unsigned short, 1, 1, int>, 16, Eigen::MakePointer>, const Eigen::TensorMap<Eigen::Tensor<const tensorflow::uint16, 1, 1, Eigen::DenseIndex>, 16, Eigen::MakePointer>>>, Eigen::GpuDevice>, Index=Eigen::DenseIndex, Vectorizable=false]"
external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h(243): here
            instantiation of "void Eigen::internal::EigenMetaKernel(Evaluator, Index) [with Evaluator=Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<tensorflow::uint16, 1, 1, int>, 16, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<tensorflow::functor::left_shift_op<tensorflow::uint16>, const Eigen::TensorMap<Eigen::Tensor<const unsigned short, 1, 1, int>, 16, Eigen::MakePointer>, const Eigen::TensorMap<Eigen::Tensor<const tensorflow::uint16, 1, 1, Eigen::DenseIndex>, 16, Eigen::MakePointer>>>, Eigen::GpuDevice>, Index=Eigen::DenseIndex]"
external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h(260): here
            instantiation of "void Eigen::internal::TensorExecutor<Expression, Eigen::GpuDevice, Vectorizable>::run(const Expression &, const Eigen::GpuDevice &) [with Expression=const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<tensorflow::uint16, 1, 1, int>, 16, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<tensorflow::functor::left_shift_op<tensorflow::uint16>, const Eigen::TensorMap<Eigen::Tensor<const unsigned short, 1, 1, int>, 16, Eigen::MakePointer>, const Eigen::TensorMap<Eigen::Tensor<const tensorflow::uint16, 1, 1, Eigen::DenseIndex>, 16, Eigen::MakePointer>>>, Vectorizable=false]"
external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h(35): here
            instantiation of "Eigen::TensorDevice<ExpressionType, DeviceType> &Eigen::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived &) [with ExpressionType=Eigen::TensorMap<Eigen::Tensor<tensorflow::uint16, 1, 1, int>, 16, Eigen::MakePointer>, DeviceType=tensorflow::functor::GPUDevice, OtherDerived=Eigen::TensorCwiseBinaryOp<tensorflow::functor::left_shift_op<tensorflow::uint16>, const Eigen::TensorMap<Eigen::Tensor<const unsigned short, 1, 1, int>, 16, Eigen::MakePointer>, const Eigen::TensorMap<Eigen::Tensor<const tensorflow::uint16, 1, 1, Eigen::DenseIndex>, 16, Eigen::MakePointer>>]"
./tensorflow/core/kernels/cwise_ops_gpu_common.cu.h(55): here
            instantiation of "void tensorflow::functor::BinaryFunctor<tensorflow::functor::GPUDevice, Functor, NDIMS, has_errors>::operator()(const tensorflow::functor::GPUDevice &, Functor::tout_type, Functor::tin_type, Functor::tin_type, __nv_bool *) [with Functor=tensorflow::functor::left_shift<tensorflow::uint16>, NDIMS=1, has_errors=false]"
tensorflow/core/kernels/cwise_op_gpu_left_shift.cu.cc(22): here

./tensorflow/core/kernels/cwise_ops.h(889): warning: pointless comparison of unsigned integer with zero
          detected during:
            instantiation of "const T tensorflow::functor::left_shift_op<T>::operator()(const T &, const T &) const [with T=tensorflow::uint32]"
external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h(420): here
            instantiation of "Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::CoeffReturnType Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::coeff(Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::Index) const [with BinaryOp=tensorflow::functor::left_shift_op<tensorflow::uint32>, LeftArgType=const Eigen::TensorMap<Eigen::Tensor<const unsigned int, 1, 1, int>, 16, Eigen::MakePointer>, RightArgType=const Eigen::TensorMap<Eigen::Tensor<const tensorflow::uint32, 1, 1, Eigen::DenseIndex>, 16, Eigen::MakePointer>, Device=Eigen::GpuDevice]"
external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h(137): here
            instantiation of "void Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LeftArgType, RightArgType>, Device>::evalScalar(Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LeftArgType, RightArgType>, Device>::Index) [with LeftArgType=Eigen::TensorMap<Eigen::Tensor<tensorflow::uint32, 1, 1, int>, 16, Eigen::MakePointer>, RightArgType=const Eigen::TensorCwiseBinaryOp<tensorflow::functor::left_shift_op<tensorflow::uint32>, const Eigen::TensorMap<Eigen::Tensor<const unsigned int, 1, 1, int>, 16, Eigen::MakePointer>, const Eigen::TensorMap<Eigen::Tensor<const tensorflow::uint32, 1, 1, Eigen::DenseIndex>, 16, Eigen::MakePointer>>, Device=Eigen::GpuDevice]"
external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h(210): here
            instantiation of "void Eigen::internal::EigenMetaKernelEval<Evaluator, Index, Vectorizable>::run(Evaluator &, Index, Index, Index) [with Evaluator=Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<tensorflow::uint32, 1, 1, int>, 16, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<tensorflow::functor::left_shift_op<tensorflow::uint32>, const Eigen::TensorMap<Eigen::Tensor<const unsigned int, 1, 1, int>, 16, Eigen::MakePointer>, const Eigen::TensorMap<Eigen::Tensor<const tensorflow::uint32, 1, 1, Eigen::DenseIndex>, 16, Eigen::MakePointer>>>, Eigen::GpuDevice>, Index=Eigen::DenseIndex, Vectorizable=false]"
external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h(243): here
            instantiation of "void Eigen::internal::EigenMetaKernel(Evaluator, Index) [with Evaluator=Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<tensorflow::uint32, 1, 1, int>, 16, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<tensorflow::functor::left_shift_op<tensorflow::uint32>, const Eigen::TensorMap<Eigen::Tensor<const unsigned int, 1, 1, int>, 16, Eigen::MakePointer>, const Eigen::TensorMap<Eigen::Tensor<const tensorflow::uint32, 1, 1, Eigen::DenseIndex>, 16, Eigen::MakePointer>>>, Eigen::GpuDevice>, Index=Eigen::DenseIndex]"
external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h(260): here
            instantiation of "void Eigen::internal::TensorExecutor<Expression, Eigen::GpuDevice, Vectorizable>::run(const Expression &, const Eigen::GpuDevice &) [with Expression=const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<tensorflow::uint32, 1, 1, int>, 16, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<tensorflow::functor::left_shift_op<tensorflow::uint32>, const Eigen::TensorMap<Eigen::Tensor<const unsigned int, 1, 1, int>, 16, Eigen::MakePointer>, const Eigen::TensorMap<Eigen::Tensor<const tensorflow::uint32, 1, 1, Eigen::DenseIndex>, 16, Eigen::MakePointer>>>, Vectorizable=false]"
external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h(35): here
            instantiation of "Eigen::TensorDevice<ExpressionType, DeviceType> &Eigen::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived &) [with ExpressionType=Eigen::TensorMap<Eigen::Tensor<tensorflow::uint32, 1, 1, int>, 16, Eigen::MakePointer>, DeviceType=tensorflow::functor::GPUDevice, OtherDerived=Eigen::TensorCwiseBinaryOp<tensorflow::functor::left_shift_op<tensorflow::uint32>, const Eigen::TensorMap<Eigen::Tensor<const unsigned int, 1, 1, int>, 16, Eigen::MakePointer>, const Eigen::TensorMap<Eigen::Tensor<const tensorflow::uint32, 1, 1, Eigen::DenseIndex>, 16, Eigen::MakePointer>>]"
./tensorflow/core/kernels/cwise_ops_gpu_common.cu.h(55): here
            instantiation of "void tensorflow::functor::BinaryFunctor<tensorflow::functor::GPUDevice, Functor, NDIMS, has_errors>::operator()(const tensorflow::functor::GPUDevice &, Functor::tout_type, Functor::tin_type, Functor::tin_type, __nv_bool *) [with Functor=tensorflow::functor::left_shift<tensorflow::uint32>, NDIMS=1, has_errors=false]"
tensorflow/core/kernels/cwise_op_gpu_left_shift.cu.cc(22): here

./tensorflow/core/kernels/cwise_ops.h(889): warning: pointless comparison of unsigned integer with zero
          detected during:
            instantiation of "const T tensorflow::functor::left_shift_op<T>::operator()(const T &, const T &) const [with T=tensorflow::uint64]"
external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h(420): here
            instantiation of "Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::CoeffReturnType Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::coeff(Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::Index) const [with BinaryOp=tensorflow::functor::left_shift_op<tensorflow::uint64>, LeftArgType=const Eigen::TensorMap<Eigen::Tensor<const unsigned long long, 1, 1, int>, 16, Eigen::MakePointer>, RightArgType=const Eigen::TensorMap<Eigen::Tensor<const tensorflow::uint64, 1, 1, Eigen::DenseIndex>, 16, Eigen::MakePointer>, Device=Eigen::GpuDevice]"
external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h(137): here
            instantiation of "void Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LeftArgType, RightArgType>, Device>::evalScalar(Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LeftArgType, RightArgType>, Device>::Index) [with LeftArgType=Eigen::TensorMap<Eigen::Tensor<tensorflow::uint64, 1, 1, int>, 16, Eigen::MakePointer>, RightArgType=const Eigen::TensorCwiseBinaryOp<tensorflow::functor::left_shift_op<tensorflow::uint64>, const Eigen::TensorMap<Eigen::Tensor<const unsigned long long, 1, 1, int>, 16, Eigen::MakePointer>, const Eigen::TensorMap<Eigen::Tensor<const tensorflow::uint64, 1, 1, Eigen::DenseIndex>, 16, Eigen::MakePointer>>, Device=Eigen::GpuDevice]"
external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h(210): here
            instantiation of "void Eigen::internal::EigenMetaKernelEval<Evaluator, Index, Vectorizable>::run(Evaluator &, Index, Index, Index) [with Evaluator=Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<tensorflow::uint64, 1, 1, int>, 16, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<tensorflow::functor::left_shift_op<tensorflow::uint64>, const Eigen::TensorMap<Eigen::Tensor<const unsigned long long, 1, 1, int>, 16, Eigen::MakePointer>, const Eigen::TensorMap<Eigen::Tensor<const tensorflow::uint64, 1, 1, Eigen::DenseIndex>, 16, Eigen::MakePointer>>>, Eigen::GpuDevice>, Index=Eigen::DenseIndex, Vectorizable=false]"
external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h(243): here
            instantiation of "void Eigen::internal::EigenMetaKernel(Evaluator, Index) [with Evaluator=Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<tensorflow::uint64, 1, 1, int>, 16, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<tensorflow::functor::left_shift_op<tensorflow::uint64>, const Eigen::TensorMap<Eigen::Tensor<const unsigned long long, 1, 1, int>, 16, Eigen::MakePointer>, const Eigen::TensorMap<Eigen::Tensor<const tensorflow::uint64, 1, 1, Eigen::DenseIndex>, 16, Eigen::MakePointer>>>, Eigen::GpuDevice>, Index=Eigen::DenseIndex]"
external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h(260): here
            instantiation of "void Eigen::internal::TensorExecutor<Expression, Eigen::GpuDevice, Vectorizable>::run(const Expression &, const Eigen::GpuDevice &) [with Expression=const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<tensorflow::uint64, 1, 1, int>, 16, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<tensorflow::functor::left_shift_op<tensorflow::uint64>, const Eigen::TensorMap<Eigen::Tensor<const unsigned long long, 1, 1, int>, 16, Eigen::MakePointer>, const Eigen::TensorMap<Eigen::Tensor<const tensorflow::uint64, 1, 1, Eigen::DenseIndex>, 16, Eigen::MakePointer>>>, Vectorizable=false]"
external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h(35): here
            instantiation of "Eigen::TensorDevice<ExpressionType, DeviceType> &Eigen::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived &) [with ExpressionType=Eigen::TensorMap<Eigen::Tensor<tensorflow::uint64, 1, 1, int>, 16, Eigen::MakePointer>, DeviceType=tensorflow::functor::GPUDevice, OtherDerived=Eigen::TensorCwiseBinaryOp<tensorflow::functor::left_shift_op<tensorflow::uint64>, const Eigen::TensorMap<Eigen::Tensor<const unsigned long long, 1, 1, int>, 16, Eigen::MakePointer>, const Eigen::TensorMap<Eigen::Tensor<const tensorflow::uint64, 1, 1, Eigen::DenseIndex>, 16, Eigen::MakePointer>>]"
./tensorflow/core/kernels/cwise_ops_gpu_common.cu.h(55): here
            instantiation of "void tensorflow::functor::BinaryFunctor<tensorflow::functor::GPUDevice, Functor, NDIMS, has_errors>::operator()(const tensorflow::functor::GPUDevice &, Functor::tout_type, Functor::tin_type, Functor::tin_type, __nv_bool *) [with Functor=tensorflow::functor::left_shift<tensorflow::uint64>, NDIMS=1, has_errors=false]"
tensorflow/core/kernels/cwise_op_gpu_left_shift.cu.cc(22): here

./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

INFO: From Compiling tensorflow/core/kernels/cwise_op_gpu_right_shift.cu.cc [for host]:
./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(906): warning: pointless comparison of unsigned integer with zero
          detected during:
            instantiation of "const T tensorflow::functor::right_shift_op<T>::operator()(const T &, const T &) const [with T=tensorflow::uint8]"
external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h(420): here
            instantiation of "Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::CoeffReturnType Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::coeff(Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::Index) const [with BinaryOp=tensorflow::functor::right_shift_op<tensorflow::uint8>, LeftArgType=const Eigen::TensorMap<Eigen::Tensor<const unsigned char, 1, 1, int>, 16, Eigen::MakePointer>, RightArgType=const Eigen::TensorMap<Eigen::Tensor<const tensorflow::uint8, 1, 1, Eigen::DenseIndex>, 16, Eigen::MakePointer>, Device=Eigen::GpuDevice]"
external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h(137): here
            instantiation of "void Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LeftArgType, RightArgType>, Device>::evalScalar(Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LeftArgType, RightArgType>, Device>::Index) [with LeftArgType=Eigen::TensorMap<Eigen::Tensor<tensorflow::uint8, 1, 1, int>, 16, Eigen::MakePointer>, RightArgType=const Eigen::TensorCwiseBinaryOp<tensorflow::functor::right_shift_op<tensorflow::uint8>, const Eigen::TensorMap<Eigen::Tensor<const unsigned char, 1, 1, int>, 16, Eigen::MakePointer>, const Eigen::TensorMap<Eigen::Tensor<const tensorflow::uint8, 1, 1, Eigen::DenseIndex>, 16, Eigen::MakePointer>>, Device=Eigen::GpuDevice]"
external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h(210): here
            instantiation of "void Eigen::internal::EigenMetaKernelEval<Evaluator, Index, Vectorizable>::run(Evaluator &, Index, Index, Index) [with Evaluator=Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<tensorflow::uint8, 1, 1, int>, 16, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<tensorflow::functor::right_shift_op<tensorflow::uint8>, const Eigen::TensorMap<Eigen::Tensor<const unsigned char, 1, 1, int>, 16, Eigen::MakePointer>, const Eigen::TensorMap<Eigen::Tensor<const tensorflow::uint8, 1, 1, Eigen::DenseIndex>, 16, Eigen::MakePointer>>>, Eigen::GpuDevice>, Index=Eigen::DenseIndex, Vectorizable=false]"
external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h(243): here
            instantiation of "void Eigen::internal::EigenMetaKernel(Evaluator, Index) [with Evaluator=Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<tensorflow::uint8, 1, 1, int>, 16, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<tensorflow::functor::right_shift_op<tensorflow::uint8>, const Eigen::TensorMap<Eigen::Tensor<const unsigned char, 1, 1, int>, 16, Eigen::MakePointer>, const Eigen::TensorMap<Eigen::Tensor<const tensorflow::uint8, 1, 1, Eigen::DenseIndex>, 16, Eigen::MakePointer>>>, Eigen::GpuDevice>, Index=Eigen::DenseIndex]"
external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h(260): here
            instantiation of "void Eigen::internal::TensorExecutor<Expression, Eigen::GpuDevice, Vectorizable>::run(const Expression &, const Eigen::GpuDevice &) [with Expression=const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<tensorflow::uint8, 1, 1, int>, 16, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<tensorflow::functor::right_shift_op<tensorflow::uint8>, const Eigen::TensorMap<Eigen::Tensor<const unsigned char, 1, 1, int>, 16, Eigen::MakePointer>, const Eigen::TensorMap<Eigen::Tensor<const tensorflow::uint8, 1, 1, Eigen::DenseIndex>, 16, Eigen::MakePointer>>>, Vectorizable=false]"
external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h(35): here
            instantiation of "Eigen::TensorDevice<ExpressionType, DeviceType> &Eigen::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived &) [with ExpressionType=Eigen::TensorMap<Eigen::Tensor<tensorflow::uint8, 1, 1, int>, 16, Eigen::MakePointer>, DeviceType=tensorflow::functor::GPUDevice, OtherDerived=Eigen::TensorCwiseBinaryOp<tensorflow::functor::right_shift_op<tensorflow::uint8>, const Eigen::TensorMap<Eigen::Tensor<const unsigned char, 1, 1, int>, 16, Eigen::MakePointer>, const Eigen::TensorMap<Eigen::Tensor<const tensorflow::uint8, 1, 1, Eigen::DenseIndex>, 16, Eigen::MakePointer>>]"
./tensorflow/core/kernels/cwise_ops_gpu_common.cu.h(55): here
            instantiation of "void tensorflow::functor::BinaryFunctor<tensorflow::functor::GPUDevice, Functor, NDIMS, has_errors>::operator()(const tensorflow::functor::GPUDevice &, Functor::tout_type, Functor::tin_type, Functor::tin_type, __nv_bool *) [with Functor=tensorflow::functor::right_shift<tensorflow::uint8>, NDIMS=1, has_errors=false]"
tensorflow/core/kernels/cwise_op_gpu_right_shift.cu.cc(22): here

./tensorflow/core/kernels/cwise_ops.h(906): warning: pointless comparison of unsigned integer with zero
          detected during:
            instantiation of "const T tensorflow::functor::right_shift_op<T>::operator()(const T &, const T &) const [with T=tensorflow::uint16]"
external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h(420): here
            instantiation of "Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::CoeffReturnType Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::coeff(Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::Index) const [with BinaryOp=tensorflow::functor::right_shift_op<tensorflow::uint16>, LeftArgType=const Eigen::TensorMap<Eigen::Tensor<const unsigned short, 1, 1, int>, 16, Eigen::MakePointer>, RightArgType=const Eigen::TensorMap<Eigen::Tensor<const tensorflow::uint16, 1, 1, Eigen::DenseIndex>, 16, Eigen::MakePointer>, Device=Eigen::GpuDevice]"
external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h(137): here
            instantiation of "void Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LeftArgType, RightArgType>, Device>::evalScalar(Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LeftArgType, RightArgType>, Device>::Index) [with LeftArgType=Eigen::TensorMap<Eigen::Tensor<tensorflow::uint16, 1, 1, int>, 16, Eigen::MakePointer>, RightArgType=const Eigen::TensorCwiseBinaryOp<tensorflow::functor::right_shift_op<tensorflow::uint16>, const Eigen::TensorMap<Eigen::Tensor<const unsigned short, 1, 1, int>, 16, Eigen::MakePointer>, const Eigen::TensorMap<Eigen::Tensor<const tensorflow::uint16, 1, 1, Eigen::DenseIndex>, 16, Eigen::MakePointer>>, Device=Eigen::GpuDevice]"
external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h(210): here
            instantiation of "void Eigen::internal::EigenMetaKernelEval<Evaluator, Index, Vectorizable>::run(Evaluator &, Index, Index, Index) [with Evaluator=Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<tensorflow::uint16, 1, 1, int>, 16, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<tensorflow::functor::right_shift_op<tensorflow::uint16>, const Eigen::TensorMap<Eigen::Tensor<const unsigned short, 1, 1, int>, 16, Eigen::MakePointer>, const Eigen::TensorMap<Eigen::Tensor<const tensorflow::uint16, 1, 1, Eigen::DenseIndex>, 16, Eigen::MakePointer>>>, Eigen::GpuDevice>, Index=Eigen::DenseIndex, Vectorizable=false]"
external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h(243): here
            instantiation of "void Eigen::internal::EigenMetaKernel(Evaluator, Index) [with Evaluator=Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<tensorflow::uint16, 1, 1, int>, 16, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<tensorflow::functor::right_shift_op<tensorflow::uint16>, const Eigen::TensorMap<Eigen::Tensor<const unsigned short, 1, 1, int>, 16, Eigen::MakePointer>, const Eigen::TensorMap<Eigen::Tensor<const tensorflow::uint16, 1, 1, Eigen::DenseIndex>, 16, Eigen::MakePointer>>>, Eigen::GpuDevice>, Index=Eigen::DenseIndex]"
external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h(260): here
            instantiation of "void Eigen::internal::TensorExecutor<Expression, Eigen::GpuDevice, Vectorizable>::run(const Expression &, const Eigen::GpuDevice &) [with Expression=const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<tensorflow::uint16, 1, 1, int>, 16, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<tensorflow::functor::right_shift_op<tensorflow::uint16>, const Eigen::TensorMap<Eigen::Tensor<const unsigned short, 1, 1, int>, 16, Eigen::MakePointer>, const Eigen::TensorMap<Eigen::Tensor<const tensorflow::uint16, 1, 1, Eigen::DenseIndex>, 16, Eigen::MakePointer>>>, Vectorizable=false]"
external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h(35): here
            instantiation of "Eigen::TensorDevice<ExpressionType, DeviceType> &Eigen::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived &) [with ExpressionType=Eigen::TensorMap<Eigen::Tensor<tensorflow::uint16, 1, 1, int>, 16, Eigen::MakePointer>, DeviceType=tensorflow::functor::GPUDevice, OtherDerived=Eigen::TensorCwiseBinaryOp<tensorflow::functor::right_shift_op<tensorflow::uint16>, const Eigen::TensorMap<Eigen::Tensor<const unsigned short, 1, 1, int>, 16, Eigen::MakePointer>, const Eigen::TensorMap<Eigen::Tensor<const tensorflow::uint16, 1, 1, Eigen::DenseIndex>, 16, Eigen::MakePointer>>]"
./tensorflow/core/kernels/cwise_ops_gpu_common.cu.h(55): here
            instantiation of "void tensorflow::functor::BinaryFunctor<tensorflow::functor::GPUDevice, Functor, NDIMS, has_errors>::operator()(const tensorflow::functor::GPUDevice &, Functor::tout_type, Functor::tin_type, Functor::tin_type, __nv_bool *) [with Functor=tensorflow::functor::right_shift<tensorflow::uint16>, NDIMS=1, has_errors=false]"
tensorflow/core/kernels/cwise_op_gpu_right_shift.cu.cc(22): here

./tensorflow/core/kernels/cwise_ops.h(906): warning: pointless comparison of unsigned integer with zero
          detected during:
            instantiation of "const T tensorflow::functor::right_shift_op<T>::operator()(const T &, const T &) const [with T=tensorflow::uint32]"
external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h(420): here
            instantiation of "Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::CoeffReturnType Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::coeff(Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::Index) const [with BinaryOp=tensorflow::functor::right_shift_op<tensorflow::uint32>, LeftArgType=const Eigen::TensorMap<Eigen::Tensor<const unsigned int, 1, 1, int>, 16, Eigen::MakePointer>, RightArgType=const Eigen::TensorMap<Eigen::Tensor<const tensorflow::uint32, 1, 1, Eigen::DenseIndex>, 16, Eigen::MakePointer>, Device=Eigen::GpuDevice]"
external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h(137): here
            instantiation of "void Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LeftArgType, RightArgType>, Device>::evalScalar(Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LeftArgType, RightArgType>, Device>::Index) [with LeftArgType=Eigen::TensorMap<Eigen::Tensor<tensorflow::uint32, 1, 1, int>, 16, Eigen::MakePointer>, RightArgType=const Eigen::TensorCwiseBinaryOp<tensorflow::functor::right_shift_op<tensorflow::uint32>, const Eigen::TensorMap<Eigen::Tensor<const unsigned int, 1, 1, int>, 16, Eigen::MakePointer>, const Eigen::TensorMap<Eigen::Tensor<const tensorflow::uint32, 1, 1, Eigen::DenseIndex>, 16, Eigen::MakePointer>>, Device=Eigen::GpuDevice]"
external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h(210): here
            instantiation of "void Eigen::internal::EigenMetaKernelEval<Evaluator, Index, Vectorizable>::run(Evaluator &, Index, Index, Index) [with Evaluator=Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<tensorflow::uint32, 1, 1, int>, 16, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<tensorflow::functor::right_shift_op<tensorflow::uint32>, const Eigen::TensorMap<Eigen::Tensor<const unsigned int, 1, 1, int>, 16, Eigen::MakePointer>, const Eigen::TensorMap<Eigen::Tensor<const tensorflow::uint32, 1, 1, Eigen::DenseIndex>, 16, Eigen::MakePointer>>>, Eigen::GpuDevice>, Index=Eigen::DenseIndex, Vectorizable=false]"
external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h(243): here
            instantiation of "void Eigen::internal::EigenMetaKernel(Evaluator, Index) [with Evaluator=Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<tensorflow::uint32, 1, 1, int>, 16, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<tensorflow::functor::right_shift_op<tensorflow::uint32>, const Eigen::TensorMap<Eigen::Tensor<const unsigned int, 1, 1, int>, 16, Eigen::MakePointer>, const Eigen::TensorMap<Eigen::Tensor<const tensorflow::uint32, 1, 1, Eigen::DenseIndex>, 16, Eigen::MakePointer>>>, Eigen::GpuDevice>, Index=Eigen::DenseIndex]"
external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h(260): here
            instantiation of "void Eigen::internal::TensorExecutor<Expression, Eigen::GpuDevice, Vectorizable>::run(const Expression &, const Eigen::GpuDevice &) [with Expression=const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<tensorflow::uint32, 1, 1, int>, 16, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<tensorflow::functor::right_shift_op<tensorflow::uint32>, const Eigen::TensorMap<Eigen::Tensor<const unsigned int, 1, 1, int>, 16, Eigen::MakePointer>, const Eigen::TensorMap<Eigen::Tensor<const tensorflow::uint32, 1, 1, Eigen::DenseIndex>, 16, Eigen::MakePointer>>>, Vectorizable=false]"
external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h(35): here
            instantiation of "Eigen::TensorDevice<ExpressionType, DeviceType> &Eigen::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived &) [with ExpressionType=Eigen::TensorMap<Eigen::Tensor<tensorflow::uint32, 1, 1, int>, 16, Eigen::MakePointer>, DeviceType=tensorflow::functor::GPUDevice, OtherDerived=Eigen::TensorCwiseBinaryOp<tensorflow::functor::right_shift_op<tensorflow::uint32>, const Eigen::TensorMap<Eigen::Tensor<const unsigned int, 1, 1, int>, 16, Eigen::MakePointer>, const Eigen::TensorMap<Eigen::Tensor<const tensorflow::uint32, 1, 1, Eigen::DenseIndex>, 16, Eigen::MakePointer>>]"
./tensorflow/core/kernels/cwise_ops_gpu_common.cu.h(55): here
            instantiation of "void tensorflow::functor::BinaryFunctor<tensorflow::functor::GPUDevice, Functor, NDIMS, has_errors>::operator()(const tensorflow::functor::GPUDevice &, Functor::tout_type, Functor::tin_type, Functor::tin_type, __nv_bool *) [with Functor=tensorflow::functor::right_shift<tensorflow::uint32>, NDIMS=1, has_errors=false]"
tensorflow/core/kernels/cwise_op_gpu_right_shift.cu.cc(22): here

./tensorflow/core/kernels/cwise_ops.h(906): warning: pointless comparison of unsigned integer with zero
          detected during:
            instantiation of "const T tensorflow::functor::right_shift_op<T>::operator()(const T &, const T &) const [with T=tensorflow::uint64]"
external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h(420): here
            instantiation of "Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::CoeffReturnType Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::coeff(Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::Index) const [with BinaryOp=tensorflow::functor::right_shift_op<tensorflow::uint64>, LeftArgType=const Eigen::TensorMap<Eigen::Tensor<const unsigned long long, 1, 1, int>, 16, Eigen::MakePointer>, RightArgType=const Eigen::TensorMap<Eigen::Tensor<const tensorflow::uint64, 1, 1, Eigen::DenseIndex>, 16, Eigen::MakePointer>, Device=Eigen::GpuDevice]"
external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h(137): here
            instantiation of "void Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LeftArgType, RightArgType>, Device>::evalScalar(Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LeftArgType, RightArgType>, Device>::Index) [with LeftArgType=Eigen::TensorMap<Eigen::Tensor<tensorflow::uint64, 1, 1, int>, 16, Eigen::MakePointer>, RightArgType=const Eigen::TensorCwiseBinaryOp<tensorflow::functor::right_shift_op<tensorflow::uint64>, const Eigen::TensorMap<Eigen::Tensor<const unsigned long long, 1, 1, int>, 16, Eigen::MakePointer>, const Eigen::TensorMap<Eigen::Tensor<const tensorflow::uint64, 1, 1, Eigen::DenseIndex>, 16, Eigen::MakePointer>>, Device=Eigen::GpuDevice]"
external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h(210): here
            instantiation of "void Eigen::internal::EigenMetaKernelEval<Evaluator, Index, Vectorizable>::run(Evaluator &, Index, Index, Index) [with Evaluator=Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<tensorflow::uint64, 1, 1, int>, 16, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<tensorflow::functor::right_shift_op<tensorflow::uint64>, const Eigen::TensorMap<Eigen::Tensor<const unsigned long long, 1, 1, int>, 16, Eigen::MakePointer>, const Eigen::TensorMap<Eigen::Tensor<const tensorflow::uint64, 1, 1, Eigen::DenseIndex>, 16, Eigen::MakePointer>>>, Eigen::GpuDevice>, Index=Eigen::DenseIndex, Vectorizable=false]"
external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h(243): here
            instantiation of "void Eigen::internal::EigenMetaKernel(Evaluator, Index) [with Evaluator=Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<tensorflow::uint64, 1, 1, int>, 16, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<tensorflow::functor::right_shift_op<tensorflow::uint64>, const Eigen::TensorMap<Eigen::Tensor<const unsigned long long, 1, 1, int>, 16, Eigen::MakePointer>, const Eigen::TensorMap<Eigen::Tensor<const tensorflow::uint64, 1, 1, Eigen::DenseIndex>, 16, Eigen::MakePointer>>>, Eigen::GpuDevice>, Index=Eigen::DenseIndex]"
external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h(260): here
            instantiation of "void Eigen::internal::TensorExecutor<Expression, Eigen::GpuDevice, Vectorizable>::run(const Expression &, const Eigen::GpuDevice &) [with Expression=const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<tensorflow::uint64, 1, 1, int>, 16, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<tensorflow::functor::right_shift_op<tensorflow::uint64>, const Eigen::TensorMap<Eigen::Tensor<const unsigned long long, 1, 1, int>, 16, Eigen::MakePointer>, const Eigen::TensorMap<Eigen::Tensor<const tensorflow::uint64, 1, 1, Eigen::DenseIndex>, 16, Eigen::MakePointer>>>, Vectorizable=false]"
external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h(35): here
            instantiation of "Eigen::TensorDevice<ExpressionType, DeviceType> &Eigen::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived &) [with ExpressionType=Eigen::TensorMap<Eigen::Tensor<tensorflow::uint64, 1, 1, int>, 16, Eigen::MakePointer>, DeviceType=tensorflow::functor::GPUDevice, OtherDerived=Eigen::TensorCwiseBinaryOp<tensorflow::functor::right_shift_op<tensorflow::uint64>, const Eigen::TensorMap<Eigen::Tensor<const unsigned long long, 1, 1, int>, 16, Eigen::MakePointer>, const Eigen::TensorMap<Eigen::Tensor<const tensorflow::uint64, 1, 1, Eigen::DenseIndex>, 16, Eigen::MakePointer>>]"
./tensorflow/core/kernels/cwise_ops_gpu_common.cu.h(55): here
            instantiation of "void tensorflow::functor::BinaryFunctor<tensorflow::functor::GPUDevice, Functor, NDIMS, has_errors>::operator()(const tensorflow::functor::GPUDevice &, Functor::tout_type, Functor::tin_type, Functor::tin_type, __nv_bool *) [with Functor=tensorflow::functor::right_shift<tensorflow::uint64>, NDIMS=1, has_errors=false]"
tensorflow/core/kernels/cwise_op_gpu_right_shift.cu.cc(22): here

./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

INFO: From Compiling tensorflow/core/kernels/cwise_op_gpu_mul.cu.cc [for host]:
./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

INFO: From Compiling tensorflow/core/kernels/deserialize_sparse_string_op.cc [for host]:
In file included from tensorflow/core/kernels/deserialize_sparse_string_op.cc:34:0:
./tensorflow/core/util/sparse/sparse_tensor.h: In static member function 'static tensorflow::Status tensorflow::sparse::SparseTensor::Create(tensorflow::Tensor, tensorflow::Tensor, tensorflow::sparse::SparseTensor::VarDimArray, tensorflow::sparse::SparseTensor::VarDimArray, tensorflow::sparse::SparseTensor*)':
./tensorflow/core/util/sparse/sparse_tensor.h:67:22: warning: 'dims' may be used uninitialized in this function [-Wmaybe-uninitialized]
     if (order.size() != dims) {
                      ^
INFO: From Compiling tensorflow/core/kernels/sparse_reorder_op.cc [for host]:
In file included from tensorflow/core/kernels/sparse_reorder_op.cc:29:0:
./tensorflow/core/util/sparse/sparse_tensor.h: In static member function 'static tensorflow::Status tensorflow::sparse::SparseTensor::Create(tensorflow::Tensor, tensorflow::Tensor, tensorflow::sparse::SparseTensor::VarDimArray, tensorflow::sparse::SparseTensor::VarDimArray, tensorflow::sparse::SparseTensor*)':
./tensorflow/core/util/sparse/sparse_tensor.h:67:22: warning: 'dims' may be used uninitialized in this function [-Wmaybe-uninitialized]
     if (order.size() != dims) {
                      ^
INFO: From Compiling tensorflow/core/kernels/quantize_and_dequantize_op_gpu.cu.cc [for host]:
./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

INFO: From Compiling tensorflow/core/kernels/cwise_op_gpu_igammas.cu.cc [for host]:
./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

INFO: From Compiling tensorflow/core/kernels/sparse_softmax_op.cc [for host]:
In file included from tensorflow/core/kernels/sparse_softmax_op.cc:28:0:
./tensorflow/core/util/sparse/sparse_tensor.h: In static member function 'static tensorflow::Status tensorflow::sparse::SparseTensor::Create(tensorflow::Tensor, tensorflow::Tensor, tensorflow::sparse::SparseTensor::VarDimArray, tensorflow::sparse::SparseTensor::VarDimArray, tensorflow::sparse::SparseTensor*)':
./tensorflow/core/util/sparse/sparse_tensor.h:67:22: warning: 'dims' may be used uninitialized in this function [-Wmaybe-uninitialized]
     if (order.size() != dims) {
                      ^
INFO: From Compiling tensorflow/core/kernels/sparse_split_op.cc [for host]:
In file included from tensorflow/core/kernels/sparse_split_op.cc:21:0:
./tensorflow/core/util/sparse/sparse_tensor.h: In static member function 'static tensorflow::Status tensorflow::sparse::SparseTensor::Create(tensorflow::Tensor, tensorflow::Tensor, const tensorflow::TensorShape&, tensorflow::sparse::SparseTensor*)':
./tensorflow/core/util/sparse/sparse_tensor.h:67:22: warning: 'dims' may be used uninitialized in this function [-Wmaybe-uninitialized]
     if (order.size() != dims) {
                      ^
./tensorflow/core/util/sparse/sparse_tensor.h:65:9: note: 'dims' was declared here
     int dims;
         ^
INFO: From Compiling tensorflow/core/kernels/sparse_concat_op.cc [for host]:
In file included from tensorflow/core/kernels/sparse_concat_op.cc:30:0:
./tensorflow/core/util/sparse/sparse_tensor.h: In static member function 'static tensorflow::Status tensorflow::sparse::SparseTensor::Create(tensorflow::Tensor, tensorflow::Tensor, const tensorflow::TensorShape&, tensorflow::sparse::SparseTensor::VarDimArray, tensorflow::sparse::SparseTensor*)':
./tensorflow/core/util/sparse/sparse_tensor.h:67:22: warning: 'dims' may be used uninitialized in this function [-Wmaybe-uninitialized]
     if (order.size() != dims) {
                      ^
./tensorflow/core/util/sparse/sparse_tensor.h:65:9: note: 'dims' was declared here
     int dims;
         ^
INFO: From Compiling tensorflow/core/kernels/sparse_to_dense_op.cc [for host]:
In file included from tensorflow/core/kernels/sparse_to_dense_op.cc:38:0:
./tensorflow/core/util/sparse/sparse_tensor.h: In static member function 'static tensorflow::Status tensorflow::sparse::SparseTensor::Create(tensorflow::Tensor, tensorflow::Tensor, const tensorflow::TensorShape&, tensorflow::sparse::SparseTensor::VarDimArray, tensorflow::sparse::SparseTensor*)':
./tensorflow/core/util/sparse/sparse_tensor.h:67:22: warning: 'dims' may be used uninitialized in this function [-Wmaybe-uninitialized]
     if (order.size() != dims) {
                      ^
./tensorflow/core/util/sparse/sparse_tensor.h:65:9: note: 'dims' was declared here
     int dims;
         ^
INFO: From Compiling tensorflow/core/kernels/sparse_tensors_map_ops.cc [for host]:
In file included from tensorflow/core/kernels/sparse_tensors_map_ops.cc:34:0:
./tensorflow/core/util/sparse/sparse_tensor.h: In static member function 'static tensorflow::Status tensorflow::sparse::SparseTensor::Create(tensorflow::Tensor, tensorflow::Tensor, tensorflow::sparse::SparseTensor::VarDimArray, tensorflow::sparse::SparseTensor::VarDimArray, tensorflow::sparse::SparseTensor*)':
./tensorflow/core/util/sparse/sparse_tensor.h:67:22: warning: 'dims' may be used uninitialized in this function [-Wmaybe-uninitialized]
     if (order.size() != dims) {
                      ^
INFO: From Compiling tensorflow/core/kernels/sparse_reduce_op.cc [for host]:
In file included from tensorflow/core/kernels/sparse_reduce_op.cc:25:0:
./tensorflow/core/util/sparse/sparse_tensor.h: In static member function 'static tensorflow::Status tensorflow::sparse::SparseTensor::Create(tensorflow::Tensor, tensorflow::Tensor, tensorflow::sparse::SparseTensor::VarDimArray, tensorflow::sparse::SparseTensor::VarDimArray, tensorflow::sparse::SparseTensor*)':
./tensorflow/core/util/sparse/sparse_tensor.h:67:22: warning: 'dims' may be used uninitialized in this function [-Wmaybe-uninitialized]
     if (order.size() != dims) {
                      ^
INFO: From Compiling tensorflow/core/kernels/cwise_op_gpu_div.cu.cc [for host]:
./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __host__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(190): warning: __device__ annotation is ignored on a function("scalar_left") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __host__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

./tensorflow/core/kernels/cwise_ops.h(220): warning: __device__ annotation is ignored on a function("scalar_right") that is explicitly defaulted on its first declaration

INFO: From Compiling tensorflow/core/distributed_runtime/scheduler.cc [for host]:
In file included from ./tensorflow/core/framework/common_shape_fns.h:22:0,
                 from ./tensorflow/core/framework/resource_mgr.h:24,
                 from ./tensorflow/core/common_runtime/device.h:43,
                 from ./tensorflow/core/distributed_runtime/scheduler.h:25,
                 from tensorflow/core/distributed_runtime/scheduler.cc:16:
./tensorflow/core/util/tensor_format.h: In function 'tensorflow::TensorShape tensorflow::ShapeFromFormat(tensorflow::TensorFormat, tensorflow::int64, tensorflow::gtl::ArraySlice<long long int>, tensorflow::int64)':
./tensorflow/core/util/tensor_format.h:501:45: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
     if (format == FORMAT_NHWC_VECT_W && dim == spatial.size() - 1) {
                                             ^
In file included from ./tensorflow/core/platform/default/logging.h:24:0,
                 from ./tensorflow/core/platform/logging.h:25,
                 from ./tensorflow/core/lib/core/refcount.h:22,
                 from ./tensorflow/core/platform/tensor_coding.h:21,
                 from ./tensorflow/core/framework/resource_handle.h:19,
                 from ./tensorflow/core/framework/allocator.h:24,
                 from ./tensorflow/core/common_runtime/device.h:35,
                 from ./tensorflow/core/distributed_runtime/scheduler.h:25,
                 from tensorflow/core/distributed_runtime/scheduler.cc:16:
./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice<T>, tensorflow::TensorFormat, char) [with T = long long int]':
./tensorflow/core/util/tensor_format.h:452:47:   required from here
./tensorflow/core/util/tensor_format.h:420:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
   CHECK(index >= 0 && index < dimension_attributes.size())
                             ^
./tensorflow/core/platform/macros.h:87:47: note: in definition of macro 'TF_PREDICT_FALSE'
 #define TF_PREDICT_FALSE(x) (__builtin_expect(x, 0))
                                               ^
./tensorflow/core/util/tensor_format.h:420:3: note: in expansion of macro 'CHECK'
   CHECK(index >= 0 && index < dimension_attributes.size())
   ^
./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice<T>, tensorflow::FilterTensorFormat, char) [with T = long long int]':
./tensorflow/core/util/tensor_format.h:461:54:   required from here
./tensorflow/core/util/tensor_format.h:435:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
   CHECK(index >= 0 && index < dimension_attribute.size())
                             ^
./tensorflow/core/platform/macros.h:87:47: note: in definition of macro 'TF_PREDICT_FALSE'
 #define TF_PREDICT_FALSE(x) (__builtin_expect(x, 0))
                                               ^
./tensorflow/core/util/tensor_format.h:435:3: note: in expansion of macro 'CHECK'
   CHECK(index >= 0 && index < dimension_attribute.size())
   ^
INFO: From Compiling tensorflow/core/kernels/sparse_slice_op.cc [for host]:
In file included from tensorflow/core/kernels/sparse_slice_op.cc:21:0:
./tensorflow/core/util/sparse/sparse_tensor.h: In static member function 'static tensorflow::Status tensorflow::sparse::SparseTensor::Create(tensorflow::Tensor, tensorflow::Tensor, const tensorflow::TensorShape&, tensorflow::sparse::SparseTensor*)':
./tensorflow/core/util/sparse/sparse_tensor.h:67:22: warning: 'dims' may be used uninitialized in this function [-Wmaybe-uninitialized]
     if (order.size() != dims) {
                      ^
./tensorflow/core/util/sparse/sparse_tensor.h:65:9: note: 'dims' was declared here
     int dims;
         ^
INFO: From Compiling tensorflow/core/distributed_runtime/rpc/grpc_session.cc [for host]:
tensorflow/core/distributed_runtime/rpc/grpc_session.cc: In member function 'tensorflow::Status tensorflow::GrpcSession::RunHelper(const tensorflow::RunOptions&, const std::vector<std::pair<std::__cxx11::basic_string<char>, tensorflow::Tensor> >&, const std::vector<std::__cxx11::basic_string<char> >&, const std::vector<std::__cxx11::basic_string<char> >&, std::vector<tensorflow::Tensor>*, tensorflow::RunMetadata*, const string&)':
tensorflow/core/distributed_runtime/rpc/grpc_session.cc:209:21: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
   for (int i = 0; i < output_tensor_names.size(); ++i) {
                     ^
tensorflow/core/distributed_runtime/rpc/grpc_session.cc:247:23: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
     for (int i = 0; i < output_tensor_names.size(); ++i) {
                       ^
INFO: From Compiling tensorflow/core/distributed_runtime/master.cc [for host]:
In file included from ./tensorflow/core/framework/common_shape_fns.h:22:0,
                 from ./tensorflow/core/framework/resource_mgr.h:24,
                 from ./tensorflow/core/common_runtime/device.h:43,
                 from ./tensorflow/core/distributed_runtime/master.h:21,
                 from tensorflow/core/distributed_runtime/master.cc:32:
./tensorflow/core/util/tensor_format.h: In function 'tensorflow::TensorShape tensorflow::ShapeFromFormat(tensorflow::TensorFormat, tensorflow::int64, tensorflow::gtl::ArraySlice<long long int>, tensorflow::int64)':
./tensorflow/core/util/tensor_format.h:501:45: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
     if (format == FORMAT_NHWC_VECT_W && dim == spatial.size() - 1) {
                                             ^
In file included from ./tensorflow/core/platform/default/logging.h:24:0,
                 from ./tensorflow/core/platform/logging.h:25,
                 from ./tensorflow/core/lib/core/refcount.h:22,
                 from ./tensorflow/core/platform/tensor_coding.h:21,
                 from ./tensorflow/core/framework/resource_handle.h:19,
                 from ./tensorflow/core/framework/allocator.h:24,
                 from ./tensorflow/core/common_runtime/device.h:35,
                 from ./tensorflow/core/distributed_runtime/master.h:21,
                 from tensorflow/core/distributed_runtime/master.cc:32:
./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice<T>, tensorflow::TensorFormat, char) [with T = long long int]':
./tensorflow/core/util/tensor_format.h:452:47:   required from here
./tensorflow/core/util/tensor_format.h:420:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
   CHECK(index >= 0 && index < dimension_attributes.size())
                             ^
./tensorflow/core/platform/macros.h:87:47: note: in definition of macro 'TF_PREDICT_FALSE'
 #define TF_PREDICT_FALSE(x) (__builtin_expect(x, 0))
                                               ^
./tensorflow/core/util/tensor_format.h:420:3: note: in expansion of macro 'CHECK'
   CHECK(index >= 0 && index < dimension_attributes.size())
   ^
./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice<T>, tensorflow::FilterTensorFormat, char) [with T = long long int]':
./tensorflow/core/util/tensor_format.h:461:54:   required from here
./tensorflow/core/util/tensor_format.h:435:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
   CHECK(index >= 0 && index < dimension_attribute.size())
                             ^
./tensorflow/core/platform/macros.h:87:47: note: in definition of macro 'TF_PREDICT_FALSE'
 #define TF_PREDICT_FALSE(x) (__builtin_expect(x, 0))
                                               ^
./tensorflow/core/util/tensor_format.h:435:3: note: in expansion of macro 'CHECK'
   CHECK(index >= 0 && index < dimension_attribute.size())
   ^
INFO: From Compiling tensorflow/core/distributed_runtime/local_master.cc [for host]:
In file included from ./tensorflow/core/framework/common_shape_fns.h:22:0,
                 from ./tensorflow/core/framework/resource_mgr.h:24,
                 from ./tensorflow/core/common_runtime/device.h:43,
                 from ./tensorflow/core/distributed_runtime/master.h:21,
                 from tensorflow/core/distributed_runtime/local_master.cc:20:
./tensorflow/core/util/tensor_format.h: In function 'tensorflow::TensorShape tensorflow::ShapeFromFormat(tensorflow::TensorFormat, tensorflow::int64, tensorflow::gtl::ArraySlice<long long int>, tensorflow::int64)':
./tensorflow/core/util/tensor_format.h:501:45: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
     if (format == FORMAT_NHWC_VECT_W && dim == spatial.size() - 1) {
                                             ^
In file included from ./tensorflow/core/distributed_runtime/call_options.h:21:0,
                 from ./tensorflow/core/distributed_runtime/master_interface.h:19,
                 from ./tensorflow/core/distributed_runtime/local_master.h:21,
                 from tensorflow/core/distributed_runtime/local_master.cc:16:
./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice<T>, tensorflow::TensorFormat, char) [with T = long long int]':
./tensorflow/core/util/tensor_format.h:452:47:   required from here
./tensorflow/core/util/tensor_format.h:420:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
   CHECK(index >= 0 && index < dimension_attributes.size())
                             ^
./tensorflow/core/platform/macros.h:87:47: note: in definition of macro 'TF_PREDICT_FALSE'
 #define TF_PREDICT_FALSE(x) (__builtin_expect(x, 0))
                                               ^
./tensorflow/core/util/tensor_format.h:420:3: note: in expansion of macro 'CHECK'
   CHECK(index >= 0 && index < dimension_attributes.size())
   ^
./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice<T>, tensorflow::FilterTensorFormat, char) [with T = long long int]':
./tensorflow/core/util/tensor_format.h:461:54:   required from here
./tensorflow/core/util/tensor_format.h:435:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
   CHECK(index >= 0 && index < dimension_attribute.size())
                             ^
./tensorflow/core/platform/macros.h:87:47: note: in definition of macro 'TF_PREDICT_FALSE'
 #define TF_PREDICT_FALSE(x) (__builtin_expect(x, 0))
                                               ^
./tensorflow/core/util/tensor_format.h:435:3: note: in expansion of macro 'CHECK'
   CHECK(index >= 0 && index < dimension_attribute.size())
   ^
INFO: From Compiling tensorflow/core/distributed_runtime/master_session.cc [for host]:
In file included from ./tensorflow/core/framework/common_shape_fns.h:22:0,
                 from ./tensorflow/core/framework/resource_mgr.h:24,
                 from ./tensorflow/core/common_runtime/device.h:43,
                 from ./tensorflow/core/common_runtime/debugger_state_interface.h:21,
                 from ./tensorflow/core/distributed_runtime/master_session.h:22,
                 from tensorflow/core/distributed_runtime/master_session.cc:16:
./tensorflow/core/util/tensor_format.h: In function 'tensorflow::TensorShape tensorflow::ShapeFromFormat(tensorflow::TensorFormat, tensorflow::int64, tensorflow::gtl::ArraySlice<long long int>, tensorflow::int64)':
./tensorflow/core/util/tensor_format.h:501:45: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
     if (format == FORMAT_NHWC_VECT_W && dim == spatial.size() - 1) {
                                             ^
tensorflow/core/distributed_runtime/master_session.cc: In member function 'tensorflow::Status tensorflow::MasterSession::ReffedClientGraph::RunPartitions(const tensorflow::MasterEnv*, tensorflow::int64, tensorflow::int64, tensorflow::MasterSession::PerStepState*, tensorflow::CallOptions*, const tensorflow::RunCallableRequest&, tensorflow::RunCallableResponse*, tensorflow::CancellationManager*)':
tensorflow/core/distributed_runtime/master_session.cc:757:24: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
   for (size_t i = 0; i < callable_opts_.feed_size(); ++i) {
                        ^
tensorflow/core/distributed_runtime/master_session.cc: In member function 'tensorflow::uint64 tensorflow::MasterSession::NewStepId(tensorflow::int64)':
tensorflow/core/distributed_runtime/master_session.cc:1456:20: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
     while (step_id == CollectiveExecutor::kInvalidId) {
                    ^
In file included from ./tensorflow/core/platform/default/logging.h:24:0,
                 from ./tensorflow/core/platform/logging.h:25,
                 from ./tensorflow/core/lib/core/refcount.h:22,
                 from ./tensorflow/core/platform/tensor_coding.h:21,
                 from ./tensorflow/core/framework/resource_handle.h:19,
                 from ./tensorflow/core/framework/allocator.h:24,
                 from ./tensorflow/core/common_runtime/device.h:35,
                 from ./tensorflow/core/common_runtime/debugger_state_interface.h:21,
                 from ./tensorflow/core/distributed_runtime/master_session.h:22,
                 from tensorflow/core/distributed_runtime/master_session.cc:16:
./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice<T>, tensorflow::TensorFormat, char) [with T = long long int]':
./tensorflow/core/util/tensor_format.h:452:47:   required from here
./tensorflow/core/util/tensor_format.h:420:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
   CHECK(index >= 0 && index < dimension_attributes.size())
                             ^
./tensorflow/core/platform/macros.h:87:47: note: in definition of macro 'TF_PREDICT_FALSE'
 #define TF_PREDICT_FALSE(x) (__builtin_expect(x, 0))
                                               ^
./tensorflow/core/util/tensor_format.h:420:3: note: in expansion of macro 'CHECK'
   CHECK(index >= 0 && index < dimension_attributes.size())
   ^
./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice<T>, tensorflow::FilterTensorFormat, char) [with T = long long int]':
./tensorflow/core/util/tensor_format.h:461:54:   required from here
./tensorflow/core/util/tensor_format.h:435:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
   CHECK(index >= 0 && index < dimension_attribute.size())
                             ^
./tensorflow/core/platform/macros.h:87:47: note: in definition of macro 'TF_PREDICT_FALSE'
 #define TF_PREDICT_FALSE(x) (__builtin_expect(x, 0))
                                               ^
./tensorflow/core/util/tensor_format.h:435:3: note: in expansion of macro 'CHECK'
   CHECK(index >= 0 && index < dimension_attribute.size())
   ^
INFO: From Compiling tensorflow/core/distributed_runtime/rpc/grpc_master_service.cc [for host]:
In file included from ./tensorflow/core/framework/common_shape_fns.h:22:0,
                 from ./tensorflow/core/framework/resource_mgr.h:24,
                 from ./tensorflow/core/common_runtime/device.h:43,
                 from ./tensorflow/core/distributed_runtime/master.h:21,
                 from tensorflow/core/distributed_runtime/rpc/grpc_master_service.cc:36:
./tensorflow/core/util/tensor_format.h: In function 'tensorflow::TensorShape tensorflow::ShapeFromFormat(tensorflow::TensorFormat, tensorflow::int64, tensorflow::gtl::ArraySlice<long long int>, tensorflow::int64)':
./tensorflow/core/util/tensor_format.h:501:45: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
     if (format == FORMAT_NHWC_VECT_W && dim == spatial.size() - 1) {
                                             ^
In file included from ./tensorflow/core/platform/default/logging.h:24:0,
                 from ./tensorflow/core/platform/logging.h:25,
                 from ./tensorflow/core/lib/core/refcount.h:22,
                 from ./tensorflow/core/platform/tensor_coding.h:21,
                 from ./tensorflow/core/framework/resource_handle.h:19,
                 from ./tensorflow/core/framework/allocator.h:24,
                 from ./tensorflow/core/common_runtime/device.h:35,
                 from ./tensorflow/core/distributed_runtime/master.h:21,
                 from tensorflow/core/distributed_runtime/rpc/grpc_master_service.cc:36:
./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice<T>, tensorflow::TensorFormat, char) [with T = long long int]':
./tensorflow/core/util/tensor_format.h:452:47:   required from here
./tensorflow/core/util/tensor_format.h:420:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
   CHECK(index >= 0 && index < dimension_attributes.size())
                             ^
./tensorflow/core/platform/macros.h:87:47: note: in definition of macro 'TF_PREDICT_FALSE'
 #define TF_PREDICT_FALSE(x) (__builtin_expect(x, 0))
                                               ^
./tensorflow/core/util/tensor_format.h:420:3: note: in expansion of macro 'CHECK'
   CHECK(index >= 0 && index < dimension_attributes.size())
   ^
./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice<T>, tensorflow::FilterTensorFormat, char) [with T = long long int]':
./tensorflow/core/util/tensor_format.h:461:54:   required from here
./tensorflow/core/util/tensor_format.h:435:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
   CHECK(index >= 0 && index < dimension_attribute.size())
                             ^
./tensorflow/core/platform/macros.h:87:47: note: in definition of macro 'TF_PREDICT_FALSE'
 #define TF_PREDICT_FALSE(x) (__builtin_expect(x, 0))
                                               ^
./tensorflow/core/util/tensor_format.h:435:3: note: in expansion of macro 'CHECK'
   CHECK(index >= 0 && index < dimension_attribute.size())
   ^
INFO: From Compiling tensorflow/python/lib/core/py_seq_tensor.cc [for host]:
tensorflow/python/lib/core/py_seq_tensor.cc: In function 'tensorflow::Status tensorflow::PySeqToTensor(PyObject*, PyObject*, tensorflow::Tensor*)':
tensorflow/python/lib/core/py_seq_tensor.cc:478:3: warning: 'infer_dtype' may be used uninitialized in this function [-Wmaybe-uninitialized]
   switch (infer_dtype) {
   ^
INFO: From Compiling tensorflow/core/common_runtime/eager/execute.cc [for host]:
In file included from ./tensorflow/core/framework/common_shape_fns.h:22:0,
                 from ./tensorflow/core/framework/resource_mgr.h:24,
                 from ./tensorflow/core/common_runtime/device.h:43,
                 from ./tensorflow/core/common_runtime/eager/execute.h:18,
                 from tensorflow/core/common_runtime/eager/execute.cc:16:
./tensorflow/core/util/tensor_format.h: In function 'tensorflow::TensorShape tensorflow::ShapeFromFormat(tensorflow::TensorFormat, tensorflow::int64, tensorflow::gtl::ArraySlice<long long int>, tensorflow::int64)':
./tensorflow/core/util/tensor_format.h:501:45: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
     if (format == FORMAT_NHWC_VECT_W && dim == spatial.size() - 1) {
                                             ^
tensorflow/core/common_runtime/eager/execute.cc: In function 'void tensorflow::{anonymous}::MaybeInitializeStepStats(tensorflow::StepStats*, tensorflow::EagerContext*)':
tensorflow/core/common_runtime/eager/execute.cc:54:39: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
   while (step_stats->dev_stats_size() < ctx->devices()->size()) {
                                       ^
tensorflow/core/common_runtime/eager/execute.cc: In function 'int tensorflow::{anonymous}::StepStatsDeviceIndex(tensorflow::StepStats*, tensorflow::EagerContext*, tensorflow::Device*)':
tensorflow/core/common_runtime/eager/execute.cc:67:21: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
   for (int i = 0; i < ctx->devices()->size(); ++i) {
                     ^
tensorflow/core/common_runtime/eager/execute.cc: In function 'tensorflow::Status tensorflow::{anonymous}::ValidateInputTypeAndPlacement(tensorflow::EagerContext*, tensorflow::Device*, tensorflow::EagerOperation*, const tensorflow::OpKernel*, tensorflow::RunMetadata*)':
tensorflow/core/common_runtime/eager/execute.cc:178:21: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
   for (int i = 0; i < op->Inputs().size(); ++i) {
                     ^
tensorflow/core/common_runtime/eager/execute.cc: In function 'tensorflow::Status tensorflow::{anonymous}::EagerLocalExecute(tensorflow::EagerOperation*, tensorflow::gtl::InlinedVector<tensorflow::TensorHandle*, 2>*, int*)':
tensorflow/core/common_runtime/eager/execute.cc:257:21: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
   for (int i = 0; i < op->Inputs().size(); ++i) {
                     ^
tensorflow/core/common_runtime/eager/execute.cc: In function 'tensorflow::Status tensorflow::{anonymous}::EagerRemoteExecute(tensorflow::EagerOperation*, tensorflow::TensorHandle**, int*)':
tensorflow/core/common_runtime/eager/execute.cc:496:21: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
   for (int i = 0; i < op->Inputs().size(); i++) {
                     ^
tensorflow/core/common_runtime/eager/execute.cc:531:20: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
   if (*num_retvals != output_dtypes.size()) {
                    ^
tensorflow/core/common_runtime/eager/execute.cc: In lambda function:
tensorflow/core/common_runtime/eager/execute.cc:572:33: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
               for (int i = 0; i < retvals.size(); i++) {
                                 ^
tensorflow/core/common_runtime/eager/execute.cc: In function 'tensorflow::Status tensorflow::EagerExecute(tensorflow::EagerContext*, tensorflow::Device*, const tensorflow::gtl::InlinedVector<tensorflow::TensorHandle*, 4>&, tensorflow::KernelAndDevice*, tensorflow::NodeExecStats*, tensorflow::TensorHandle**, int)':
tensorflow/core/common_runtime/eager/execute.cc:635:21: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
   for (int i = 0; i < op_inputs.size(); ++i) {
                     ^
tensorflow/core/common_runtime/eager/execute.cc:662:43: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
       while (step_stats->dev_stats_size() < ctx->devices()->size()) {
                                           ^
tensorflow/core/common_runtime/eager/execute.cc:667:25: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
       for (int i = 0; i < ctx->devices()->size(); ++i) {
                         ^
In file included from ./tensorflow/core/platform/default/logging.h:24:0,
                 from ./tensorflow/core/platform/logging.h:25,
                 from ./tensorflow/core/lib/core/refcount.h:22,
                 from ./tensorflow/core/platform/tensor_coding.h:21,
                 from ./tensorflow/core/framework/resource_handle.h:19,
                 from ./tensorflow/core/framework/allocator.h:24,
                 from ./tensorflow/core/common_runtime/device.h:35,
                 from ./tensorflow/core/common_runtime/eager/execute.h:18,
                 from tensorflow/core/common_runtime/eager/execute.cc:16:
./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice<T>, tensorflow::TensorFormat, char) [with T = long long int]':
./tensorflow/core/util/tensor_format.h:452:47:   required from here
./tensorflow/core/util/tensor_format.h:420:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
   CHECK(index >= 0 && index < dimension_attributes.size())
                             ^
./tensorflow/core/platform/macros.h:87:47: note: in definition of macro 'TF_PREDICT_FALSE'
 #define TF_PREDICT_FALSE(x) (__builtin_expect(x, 0))
                                               ^
./tensorflow/core/util/tensor_format.h:420:3: note: in expansion of macro 'CHECK'
   CHECK(index >= 0 && index < dimension_attributes.size())
   ^
./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice<T>, tensorflow::FilterTensorFormat, char) [with T = long long int]':
./tensorflow/core/util/tensor_format.h:461:54:   required from here
./tensorflow/core/util/tensor_format.h:435:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
   CHECK(index >= 0 && index < dimension_attribute.size())
                             ^
./tensorflow/core/platform/macros.h:87:47: note: in definition of macro 'TF_PREDICT_FALSE'
 #define TF_PREDICT_FALSE(x) (__builtin_expect(x, 0))
                                               ^
./tensorflow/core/util/tensor_format.h:435:3: note: in expansion of macro 'CHECK'
   CHECK(index >= 0 && index < dimension_attribute.size())
   ^
INFO: From Compiling tensorflow/python/lib/core/ndarray_tensor.cc [for host]:
tensorflow/python/lib/core/ndarray_tensor.cc: In function 'tensorflow::Status tensorflow::{anonymous}::CopyTF_TensorStringsToPyArray(const TF_Tensor*, tensorflow::uint64, PyArrayObject*)':
tensorflow/python/lib/core/ndarray_tensor.cc:243:23: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
   for (int64 i = 0; i < nelems; ++i) {
                       ^
INFO: From Compiling tensorflow/core/distributed_runtime/eager/eager_service_impl.cc [for host]:
In file included from ./tensorflow/core/framework/common_shape_fns.h:22:0,
                 from ./tensorflow/core/framework/resource_mgr.h:24,
                 from ./tensorflow/core/common_runtime/device.h:43,
                 from ./tensorflow/core/common_runtime/device_mgr.h:24,
                 from ./tensorflow/core/common_runtime/eager/context.h:27,
                 from ./tensorflow/core/distributed_runtime/eager/eager_service_impl.h:21,
                 from tensorflow/core/distributed_runtime/eager/eager_service_impl.cc:16:
./tensorflow/core/util/tensor_format.h: In function 'tensorflow::TensorShape tensorflow::ShapeFromFormat(tensorflow::TensorFormat, tensorflow::int64, tensorflow::gtl::ArraySlice<long long int>, tensorflow::int64)':
./tensorflow/core/util/tensor_format.h:501:45: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
     if (format == FORMAT_NHWC_VECT_W && dim == spatial.size() - 1) {
                                             ^
In file included from tensorflow/core/distributed_runtime/eager/eager_service_impl.cc:16:0:
./tensorflow/core/distributed_runtime/eager/eager_service_impl.h: In member function 'void tensorflow::eager::EagerServiceImpl::ServerContext::AddOperationOutputs(const tensorflow::gtl::ArraySlice<tensorflow::TensorHandle*>&, tensorflow::int64)':
./tensorflow/core/distributed_runtime/eager/eager_service_impl.h:126:25: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
       for (int i = 0; i < handles.size(); i++) {
                         ^
./tensorflow/core/distributed_runtime/eager/eager_service_impl.h: In member function 'bool tensorflow::eager::EagerServiceImpl::ServerContext::IsStale()':
./tensorflow/core/distributed_runtime/eager/eager_service_impl.h:171:64: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
               (env_->env->NowMicros() - last_accessed_micros_) >
                                                                ^
In file included from ./tensorflow/core/platform/default/logging.h:24:0,
                 from ./tensorflow/core/platform/logging.h:25,
                 from ./tensorflow/core/lib/core/status.h:25,
                 from ./tensorflow/core/common_runtime/device_factory.h:22,
                 from ./tensorflow/core/common_runtime/eager/context.h:26,
                 from ./tensorflow/core/distributed_runtime/eager/eager_service_impl.h:21,
                 from tensorflow/core/distributed_runtime/eager/eager_service_impl.cc:16:
./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice<T>, tensorflow::TensorFormat, char) [with T = long long int]':
./tensorflow/core/util/tensor_format.h:452:47:   required from here
./tensorflow/core/util/tensor_format.h:420:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
   CHECK(index >= 0 && index < dimension_attributes.size())
                             ^
./tensorflow/core/platform/macros.h:87:47: note: in definition of macro 'TF_PREDICT_FALSE'
 #define TF_PREDICT_FALSE(x) (__builtin_expect(x, 0))
                                               ^
./tensorflow/core/util/tensor_format.h:420:3: note: in expansion of macro 'CHECK'
   CHECK(index >= 0 && index < dimension_attributes.size())
   ^
./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice<T>, tensorflow::FilterTensorFormat, char) [with T = long long int]':
./tensorflow/core/util/tensor_format.h:461:54:   required from here
./tensorflow/core/util/tensor_format.h:435:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
   CHECK(index >= 0 && index < dimension_attribute.size())
                             ^
./tensorflow/core/platform/macros.h:87:47: note: in definition of macro 'TF_PREDICT_FALSE'
 #define TF_PREDICT_FALSE(x) (__builtin_expect(x, 0))
                                               ^
./tensorflow/core/util/tensor_format.h:435:3: note: in expansion of macro 'CHECK'
   CHECK(index >= 0 && index < dimension_attribute.size())
   ^
tensorflow/core/distributed_runtime/eager/eager_service_impl.cc: In member function 'tensorflow::Status tensorflow::eager::EagerServiceImpl::ExecuteOp(const tensorflow::eager::Operation&, tensorflow::eager::EagerServiceImpl::ServerContext*, tensorflow::eager::QueueResponse*)':
tensorflow/core/distributed_runtime/eager/eager_service_impl.cc:177:25: warning: 'handle' may be used uninitialized in this function [-Wmaybe-uninitialized]
     op->AddInput(handle);
                         ^
INFO: From Compiling tensorflow/core/distributed_runtime/rpc/eager/grpc_eager_service_impl.cc [for host]:
In file included from ./tensorflow/core/framework/common_shape_fns.h:22:0,
                 from ./tensorflow/core/framework/resource_mgr.h:24,
                 from ./tensorflow/core/common_runtime/device.h:43,
                 from ./tensorflow/core/common_runtime/device_mgr.h:24,
                 from ./tensorflow/core/common_runtime/eager/context.h:27,
                 from ./tensorflow/core/distributed_runtime/eager/eager_service_impl.h:21,
                 from ./tensorflow/core/distributed_runtime/rpc/eager/grpc_eager_service_impl.h:22,
                 from tensorflow/core/distributed_runtime/rpc/eager/grpc_eager_service_impl.cc:16:
./tensorflow/core/util/tensor_format.h: In function 'tensorflow::TensorShape tensorflow::ShapeFromFormat(tensorflow::TensorFormat, tensorflow::int64, tensorflow::gtl::ArraySlice<long long int>, tensorflow::int64)':
./tensorflow/core/util/tensor_format.h:501:45: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
     if (format == FORMAT_NHWC_VECT_W && dim == spatial.size() - 1) {
                                             ^
In file included from ./tensorflow/core/distributed_runtime/rpc/eager/grpc_eager_service_impl.h:22:0,
                 from tensorflow/core/distributed_runtime/rpc/eager/grpc_eager_service_impl.cc:16:
./tensorflow/core/distributed_runtime/eager/eager_service_impl.h: In member function 'void tensorflow::eager::EagerServiceImpl::ServerContext::AddOperationOutputs(const tensorflow::gtl::ArraySlice<tensorflow::TensorHandle*>&, tensorflow::int64)':
./tensorflow/core/distributed_runtime/eager/eager_service_impl.h:126:25: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
       for (int i = 0; i < handles.size(); i++) {
                         ^
./tensorflow/core/distributed_runtime/eager/eager_service_impl.h: In member function 'bool tensorflow::eager::EagerServiceImpl::ServerContext::IsStale()':
./tensorflow/core/distributed_runtime/eager/eager_service_impl.h:171:64: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
               (env_->env->NowMicros() - last_accessed_micros_) >
                                                                ^
In file included from ./tensorflow/core/platform/default/logging.h:24:0,
                 from ./tensorflow/core/platform/logging.h:25,
                 from ./tensorflow/core/lib/core/status.h:25,
                 from ./tensorflow/core/common_runtime/device_factory.h:22,
                 from ./tensorflow/core/common_runtime/eager/context.h:26,
                 from ./tensorflow/core/distributed_runtime/eager/eager_service_impl.h:21,
                 from ./tensorflow/core/distributed_runtime/rpc/eager/grpc_eager_service_impl.h:22,
                 from tensorflow/core/distributed_runtime/rpc/eager/grpc_eager_service_impl.cc:16:
./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice<T>, tensorflow::TensorFormat, char) [with T = long long int]':
./tensorflow/core/util/tensor_format.h:452:47:   required from here
./tensorflow/core/util/tensor_format.h:420:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
   CHECK(index >= 0 && index < dimension_attributes.size())
                             ^
./tensorflow/core/platform/macros.h:87:47: note: in definition of macro 'TF_PREDICT_FALSE'
 #define TF_PREDICT_FALSE(x) (__builtin_expect(x, 0))
                                               ^
./tensorflow/core/util/tensor_format.h:420:3: note: in expansion of macro 'CHECK'
   CHECK(index >= 0 && index < dimension_attributes.size())
   ^
./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice<T>, tensorflow::FilterTensorFormat, char) [with T = long long int]':
./tensorflow/core/util/tensor_format.h:461:54:   required from here
./tensorflow/core/util/tensor_format.h:435:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
   CHECK(index >= 0 && index < dimension_attribute.size())
                             ^
./tensorflow/core/platform/macros.h:87:47: note: in definition of macro 'TF_PREDICT_FALSE'
 #define TF_PREDICT_FALSE(x) (__builtin_expect(x, 0))
                                               ^
./tensorflow/core/util/tensor_format.h:435:3: note: in expansion of macro 'CHECK'
   CHECK(index >= 0 && index < dimension_attribute.size())
   ^
INFO: From Compiling tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc [for host]:
In file included from ./tensorflow/core/framework/common_shape_fns.h:22:0,
                 from ./tensorflow/core/framework/resource_mgr.h:24,
                 from ./tensorflow/core/common_runtime/device.h:43,
                 from ./tensorflow/core/common_runtime/device_mgr.h:24,
                 from ./tensorflow/core/distributed_runtime/worker_session.h:21,
                 from ./tensorflow/core/distributed_runtime/session_mgr.h:21,
                 from ./tensorflow/core/distributed_runtime/rpc/grpc_server_lib.h:30,
                 from tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:16:
./tensorflow/core/util/tensor_format.h: In function 'tensorflow::TensorShape tensorflow::ShapeFromFormat(tensorflow::TensorFormat, tensorflow::int64, tensorflow::gtl::ArraySlice<long long int>, tensorflow::int64)':
./tensorflow/core/util/tensor_format.h:501:45: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
     if (format == FORMAT_NHWC_VECT_W && dim == spatial.size() - 1) {
                                             ^
In file included from ./tensorflow/core/distributed_runtime/rpc/eager/grpc_eager_service_impl.h:22:0,
                 from tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:38:
./tensorflow/core/distributed_runtime/eager/eager_service_impl.h: In member function 'void tensorflow::eager::EagerServiceImpl::ServerContext::AddOperationOutputs(const tensorflow::gtl::ArraySlice<tensorflow::TensorHandle*>&, tensorflow::int64)':
./tensorflow/core/distributed_runtime/eager/eager_service_impl.h:126:25: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
       for (int i = 0; i < handles.size(); i++) {
                         ^
./tensorflow/core/distributed_runtime/eager/eager_service_impl.h: In member function 'bool tensorflow::eager::EagerServiceImpl::ServerContext::IsStale()':
./tensorflow/core/distributed_runtime/eager/eager_service_impl.h:171:64: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
               (env_->env->NowMicros() - last_accessed_micros_) >
                                                                ^
In file included from ./tensorflow/core/platform/default/logging.h:24:0,
                 from ./tensorflow/core/platform/logging.h:25,
                 from ./tensorflow/core/lib/core/status.h:25,
                 from ./tensorflow/core/lib/core/errors.h:21,
                 from ./tensorflow/core/platform/env.h:24,
                 from ./tensorflow/core/lib/core/threadpool.h:21,
                 from ./tensorflow/core/common_runtime/process_util.h:21,
                 from ./tensorflow/core/distributed_runtime/rpc/grpc_server_lib.h:24,
                 from tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:16:
./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice<T>, tensorflow::TensorFormat, char) [with T = long long int]':
./tensorflow/core/util/tensor_format.h:452:47:   required from here
./tensorflow/core/util/tensor_format.h:420:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
   CHECK(index >= 0 && index < dimension_attributes.size())
                             ^
./tensorflow/core/platform/macros.h:87:47: note: in definition of macro 'TF_PREDICT_FALSE'
 #define TF_PREDICT_FALSE(x) (__builtin_expect(x, 0))
                                               ^
./tensorflow/core/util/tensor_format.h:420:3: note: in expansion of macro 'CHECK'
   CHECK(index >= 0 && index < dimension_attributes.size())
   ^
./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice<T>, tensorflow::FilterTensorFormat, char) [with T = long long int]':
./tensorflow/core/util/tensor_format.h:461:54:   required from here
./tensorflow/core/util/tensor_format.h:435:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
   CHECK(index >= 0 && index < dimension_attribute.size())
                             ^
./tensorflow/core/platform/macros.h:87:47: note: in definition of macro 'TF_PREDICT_FALSE'
 #define TF_PREDICT_FALSE(x) (__builtin_expect(x, 0))
                                               ^
./tensorflow/core/util/tensor_format.h:435:3: note: in expansion of macro 'CHECK'
   CHECK(index >= 0 && index < dimension_attribute.size())
   ^
INFO: From Compiling tensorflow/c/eager/c_api.cc [for host]:
tensorflow/c/eager/c_api.cc:68:6: warning: 'bool {anonymous}::IsXLA(const tensorflow::Device*)' defined but not used [-Wunused-function]
 bool IsXLA(const tensorflow::Device* d) {
      ^
tensorflow/c/eager/c_api.cc:74:8: warning: 'std::__cxx11::string {anonymous}::DeviceName(const tensorflow::Device*)' defined but not used [-Wunused-function]
 string DeviceName(const tensorflow::Device* d) {
        ^
INFO: From Compiling tensorflow/python/lib/core/py_func.cc [for host]:
In file included from ./tensorflow/core/framework/common_shape_fns.h:22:0,
                 from ./tensorflow/core/framework/resource_mgr.h:24,
                 from ./tensorflow/core/common_runtime/device.h:43,
                 from ./tensorflow/core/common_runtime/graph_runner.h:23,
                 from ./tensorflow/core/common_runtime/shape_refiner.h:20,
                 from ./tensorflow/c/c_api_internal.h:30,
                 from ./tensorflow/c/eager/c_api_internal.h:30,
                 from tensorflow/python/lib/core/py_func.cc:24:
./tensorflow/core/util/tensor_format.h: In function 'tensorflow::TensorShape tensorflow::ShapeFromFormat(tensorflow::TensorFormat, tensorflow::int64, tensorflow::gtl::ArraySlice<long long int>, tensorflow::int64)':
./tensorflow/core/util/tensor_format.h:501:45: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
     if (format == FORMAT_NHWC_VECT_W && dim == spatial.size() - 1) {
                                             ^
In file included from ./tensorflow/core/platform/default/logging.h:24:0,
                 from ./tensorflow/core/platform/logging.h:25,
                 from ./tensorflow/core/lib/core/refcount.h:22,
                 from ./tensorflow/core/platform/tensor_coding.h:21,
                 from ./tensorflow/core/framework/resource_handle.h:19,
                 from ./tensorflow/core/framework/allocator.h:24,
                 from ./tensorflow/core/framework/tensor.h:20,
                 from ./tensorflow/python/lib/core/py_func.h:22,
                 from tensorflow/python/lib/core/py_func.cc:16:
./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice<T>, tensorflow::TensorFormat, char) [with T = long long int]':
./tensorflow/core/util/tensor_format.h:452:47:   required from here
./tensorflow/core/util/tensor_format.h:420:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
   CHECK(index >= 0 && index < dimension_attributes.size())
                             ^
./tensorflow/core/platform/macros.h:87:47: note: in definition of macro 'TF_PREDICT_FALSE'
 #define TF_PREDICT_FALSE(x) (__builtin_expect(x, 0))
                                               ^
./tensorflow/core/util/tensor_format.h:420:3: note: in expansion of macro 'CHECK'
   CHECK(index >= 0 && index < dimension_attributes.size())
   ^
./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice<T>, tensorflow::FilterTensorFormat, char) [with T = long long int]':
./tensorflow/core/util/tensor_format.h:461:54:   required from here
./tensorflow/core/util/tensor_format.h:435:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
   CHECK(index >= 0 && index < dimension_attribute.size())
                             ^
./tensorflow/core/platform/macros.h:87:47: note: in definition of macro 'TF_PREDICT_FALSE'
 #define TF_PREDICT_FALSE(x) (__builtin_expect(x, 0))
                                               ^
./tensorflow/core/util/tensor_format.h:435:3: note: in expansion of macro 'CHECK'
   CHECK(index >= 0 && index < dimension_attribute.size())
   ^
./tensorflow/core/platform/default/logging.h: In instantiation of 'std::__cxx11::string* tensorflow::internal::Check_EQImpl(const T1&, const T2&, const char*) [with T1 = long unsigned int; T2 = long long int; std::__cxx11::string = std::__cxx11::basic_string<char>]':
tensorflow/python/lib/core/py_func.cc:323:5:   required from here
./tensorflow/core/platform/default/logging.h:230:25: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
                         ==)  // Compilation error with CHECK_EQ(NULL, x)?
                         ^
./tensorflow/core/platform/macros.h:88:49: note: in definition of macro 'TF_PREDICT_TRUE'
 #define TF_PREDICT_TRUE(x) (__builtin_expect(!!(x), 1))
                                                 ^
./tensorflow/core/platform/default/logging.h:229:1: note: in expansion of macro 'TF_DEFINE_CHECK_OP_IMPL'
 TF_DEFINE_CHECK_OP_IMPL(Check_EQ,
 ^
INFO: From Compiling tensorflow/python/eager/pywrap_tfe_src.cc [for host]:
In file included from ./tensorflow/core/framework/common_shape_fns.h:22:0,
                 from ./tensorflow/core/framework/resource_mgr.h:24,
                 from ./tensorflow/core/common_runtime/device.h:43,
                 from ./tensorflow/core/common_runtime/graph_runner.h:23,
                 from ./tensorflow/core/common_runtime/shape_refiner.h:20,
                 from ./tensorflow/c/c_api_internal.h:30,
                 from tensorflow/python/eager/pywrap_tfe_src.cc:21:
./tensorflow/core/util/tensor_format.h: In function 'tensorflow::TensorShape tensorflow::ShapeFromFormat(tensorflow::TensorFormat, tensorflow::int64, tensorflow::gtl::ArraySlice<long long int>, tensorflow::int64)':
./tensorflow/core/util/tensor_format.h:501:45: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
     if (format == FORMAT_NHWC_VECT_W && dim == spatial.size() - 1) {
                                             ^
tensorflow/python/eager/pywrap_tfe_src.cc: In function 'void TFE_Py_Execute(TFE_Context*, const char*, const char*, TFE_InputTensorHandles*, PyObject*, TFE_OutputTensorHandles*, TF_Status*)':
tensorflow/python/eager/pywrap_tfe_src.cc:683:23: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
     for (int i = 0; i < inputs->size() && TF_GetCode(out_status) == TF_OK;
                       ^
tensorflow/python/eager/pywrap_tfe_src.cc: In member function 'virtual PyObject* PyVSpace::AggregateGradients(tensorflow::gtl::ArraySlice<_object*>) const':
tensorflow/python/eager/pywrap_tfe_src.cc:1396:23: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
     for (int i = 0; i < gradient_tensors.size(); ++i) {
                       ^
tensorflow/python/eager/pywrap_tfe_src.cc: In member function 'virtual tensorflow::Status PyVSpace::CallBackwardFunction({anonymous}::PyBackwardFunction*, tensorflow::gtl::ArraySlice<_object*>, std::vector<_object*, std::allocator<_object*> >*) const':
tensorflow/python/eager/pywrap_tfe_src.cc:1448:23: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
     for (int i = 0; i < output_gradients.size(); ++i) {
                       ^
tensorflow/python/eager/pywrap_tfe_src.cc: In function 'PyObject* TFE_Py_TapeGradient(PyObject*, PyObject*, PyObject*, PyObject*, PyObject*, TF_Status*)':
tensorflow/python/eager/pywrap_tfe_src.cc:1568:23: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
     for (int i = 0; i < result.size(); ++i) {
                       ^
tensorflow/python/eager/pywrap_tfe_src.cc: In function 'bool {anonymous}::RunCallbacks(const {anonymous}::FastPathOpExecInfo&, PyObject*, const std::vector<std::unique_ptr<_object, tensorflow::detail::PyDecrefDeleter> >&, const std::vector<std::unique_ptr<_object, tensorflow::detail::PyDecrefDeleter> >&, PyObject*)':
tensorflow/python/eager/pywrap_tfe_src.cc:2168:21: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
   for (int i = 0; i < flattened_inputs.size(); i++) {
                     ^
In file included from ./tensorflow/core/platform/default/logging.h:24:0,
                 from ./tensorflow/core/platform/logging.h:25,
                 from ./tensorflow/core/lib/core/status.h:25,
                 from ./tensorflow/python/eager/pywrap_tfe.h:22,
                 from tensorflow/python/eager/pywrap_tfe_src.cc:18:
./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice<T>, tensorflow::TensorFormat, char) [with T = long long int]':
./tensorflow/core/util/tensor_format.h:452:47:   required from here
./tensorflow/core/util/tensor_format.h:420:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
   CHECK(index >= 0 && index < dimension_attributes.size())
                             ^
./tensorflow/core/platform/macros.h:87:47: note: in definition of macro 'TF_PREDICT_FALSE'
 #define TF_PREDICT_FALSE(x) (__builtin_expect(x, 0))
                                               ^
./tensorflow/core/util/tensor_format.h:420:3: note: in expansion of macro 'CHECK'
   CHECK(index >= 0 && index < dimension_attributes.size())
   ^
./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice<T>, tensorflow::FilterTensorFormat, char) [with T = long long int]':
./tensorflow/core/util/tensor_format.h:461:54:   required from here
./tensorflow/core/util/tensor_format.h:435:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
   CHECK(index >= 0 && index < dimension_attribute.size())
                             ^
./tensorflow/core/platform/macros.h:87:47: note: in definition of macro 'TF_PREDICT_FALSE'
 #define TF_PREDICT_FALSE(x) (__builtin_expect(x, 0))
                                               ^
./tensorflow/core/util/tensor_format.h:435:3: note: in expansion of macro 'CHECK'
   CHECK(index >= 0 && index < dimension_attribute.size())
   ^
In file included from tensorflow/python/eager/pywrap_tfe_src.cc:23:0:
./tensorflow/c/eager/tape.h: In instantiation of 'bool tensorflow::eager::GradientTape<Gradient, BackwardFunction>::ShouldRecord(tensorflow::gtl::ArraySlice<long long int>, tensorflow::gtl::ArraySlice<tensorflow::DataType>) [with Gradient = _object; BackwardFunction = std::function<_object*(_object*)>]':
tensorflow/python/eager/pywrap_tfe_src.cc:1150:52:   required from here
./tensorflow/c/eager/tape.h:194:21: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
   for (int i = 0; i < tensor_ids.size(); ++i) {
                     ^
./tensorflow/c/eager/tape.h: In instantiation of 'tensorflow::Status tensorflow::eager::GradientTape<Gradient, BackwardFunction>::ComputeGradient(const tensorflow::eager::VSpace<Gradient, BackwardFunction>&, tensorflow::gtl::ArraySlice<long long int>, tensorflow::gtl::ArraySlice<long long int>, tensorflow::gtl::ArraySlice<Gradient*>, std::vector<Gradient*>*) [with Gradient = _object; BackwardFunction = std::function<_object*(_object*)>]':
tensorflow/python/eager/pywrap_tfe_src.cc:1556:62:   required from here
./tensorflow/c/eager/tape.h:507:23: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
     for (int i = 0; i < trace.output_tensor_info.size(); ++i) {
                       ^
./tensorflow/c/eager/tape.h:563:23: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
     for (int i = 0; i < in_gradients.size(); ++i) {
                       ^
./tensorflow/c/eager/tape.h: In instantiation of 'tensorflow::Status tensorflow::eager::{anonymous}::InitialGradients(const tensorflow::eager::VSpace<Gradient, BackwardFunction>&, tensorflow::gtl::ArraySlice<long long int>, tensorflow::gtl::ArraySlice<Gradient*>, const TensorTape&, tensorflow::eager::OpTape<BackwardFunction>&, tensorflow::gtl::FlatMap<long long int, std::vector<Gradient*> >*) [with Gradient = _object; BackwardFunction = std::function<_object*(_object*)>; tensorflow::eager::TensorTape = tensorflow::gtl::FlatMap<long long int, long long int>; tensorflow::eager::OpTape<BackwardFunction> = tensorflow::gtl::FlatMap<long long int, tensorflow::eager::OpTapeEntry<std::function<_object*(_object*)> >, tensorflow::hash<long long int, void>, std::equal_to<long long int> >]':
./tensorflow/c/eager/tape.h:465:30:   required from 'tensorflow::Status tensorflow::eager::GradientTape<Gradient, BackwardFunction>::ComputeGradient(const tensorflow::eager::VSpace<Gradient, BackwardFunction>&, tensorflow::gtl::ArraySlice<long long int>, tensorflow::gtl::ArraySlice<long long int>, tensorflow::gtl::ArraySlice<Gradient*>, std::vector<Gradient*>*) [with Gradient = _object; BackwardFunction = std::function<_object*(_object*)>]'
tensorflow/python/eager/pywrap_tfe_src.cc:1556:62:   required from here
./tensorflow/c/eager/tape.h:406:21: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
   for (int i = 0; i < target_tensor_ids.size(); ++i) {
                     ^
./tensorflow/c/eager/tape.h:418:27: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
         for (int j = 0; j < op_it->second.output_tensor_info.size(); ++j) {
                           ^
INFO: From Compiling tensorflow/core/profiler/internal/tfprof_show.cc [for host]:
In file included from ./tensorflow/core/profiler/internal/tfprof_show.h:32:0,
                 from tensorflow/core/profiler/internal/tfprof_show.cc:16:
./tensorflow/core/profiler/internal/tfprof_tensor.h: In member function 'bool tensorflow::tfprof::TFProfTensor::AddValue(const T&, tensorflow::tfprof::TFProfTensorProto*)':
./tensorflow/core/profiler/internal/tfprof_tensor.h:79:3: warning: no return statement in function returning non-void [-Wreturn-type]
   }
   ^
INFO: From Compiling tensorflow/core/profiler/internal/tfprof_show_multi.cc [for host]:
In file included from ./tensorflow/core/profiler/internal/tfprof_show.h:32:0,
                 from ./tensorflow/core/profiler/internal/tfprof_show_multi.h:32,
                 from tensorflow/core/profiler/internal/tfprof_show_multi.cc:16:
./tensorflow/core/profiler/internal/tfprof_tensor.h: In member function 'bool tensorflow::tfprof::TFProfTensor::AddValue(const T&, tensorflow::tfprof::TFProfTensorProto*)':
./tensorflow/core/profiler/internal/tfprof_tensor.h:79:3: warning: no return statement in function returning non-void [-Wreturn-type]
   }
   ^
INFO: From Compiling tensorflow/core/profiler/internal/tfprof_scope.cc [for host]:
In file included from ./tensorflow/core/profiler/internal/tfprof_show.h:32:0,
                 from ./tensorflow/core/profiler/internal/tfprof_scope.h:32,
                 from tensorflow/core/profiler/internal/tfprof_scope.cc:16:
./tensorflow/core/profiler/internal/tfprof_tensor.h: In member function 'bool tensorflow::tfprof::TFProfTensor::AddValue(const T&, tensorflow::tfprof::TFProfTensorProto*)':
./tensorflow/core/profiler/internal/tfprof_tensor.h:79:3: warning: no return statement in function returning non-void [-Wreturn-type]
   }
   ^
INFO: From Compiling tensorflow/core/profiler/internal/tfprof_op.cc [for host]:
In file included from ./tensorflow/core/profiler/internal/tfprof_show.h:32:0,
                 from ./tensorflow/core/profiler/internal/tfprof_show_multi.h:32,
                 from ./tensorflow/core/profiler/internal/tfprof_op.h:32,
                 from tensorflow/core/profiler/internal/tfprof_op.cc:16:
./tensorflow/core/profiler/internal/tfprof_tensor.h: In member function 'bool tensorflow::tfprof::TFProfTensor::AddValue(const T&, tensorflow::tfprof::TFProfTensorProto*)':
./tensorflow/core/profiler/internal/tfprof_tensor.h:79:3: warning: no return statement in function returning non-void [-Wreturn-type]
   }
   ^
In file included from tensorflow/core/profiler/internal/tfprof_op.cc:16:0:
./tensorflow/core/profiler/internal/tfprof_op.h: In member function 'virtual bool tensorflow::tfprof::TFOp::ShouldShowIfExtra(const tensorflow::tfprof::ShowMultiNode*, const tensorflow::tfprof::Options&, int) const':
./tensorflow/core/profiler/internal/tfprof_op.h:60:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
     if (opts.min_occurrence > node->node->graph_nodes().size()) {
                             ^
tensorflow/core/profiler/internal/tfprof_op.cc: In member function 'virtual const tensorflow::tfprof::ShowMultiNode* tensorflow::tfprof::TFOp::ShowInternal(const tensorflow::tfprof::Options&, tensorflow::tfprof::Timeline*)':
tensorflow/core/profiler/internal/tfprof_op.cc:152:27: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
   for (int64 i = start; i < account_nodes.size(); ++i, ++depth) {
                           ^
tensorflow/core/profiler/internal/tfprof_op.cc: In member function 'tensorflow::int64 tensorflow::tfprof::TFOp::SearchRoot(std::vector<tensorflow::tfprof::OpNode*>, const std::vector<std::__cxx11::basic_string<char> >&)':
tensorflow/core/profiler/internal/tfprof_op.cc:201:12: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
   for (; i < nodes.size(); ++i) {
            ^
INFO: From Compiling tensorflow/core/profiler/internal/tfprof_graph.cc [for host]:
In file included from ./tensorflow/core/profiler/internal/tfprof_show.h:32:0,
                 from ./tensorflow/core/profiler/internal/tfprof_graph.h:33,
                 from tensorflow/core/profiler/internal/tfprof_graph.cc:16:
./tensorflow/core/profiler/internal/tfprof_tensor.h: In member function 'bool tensorflow::tfprof::TFProfTensor::AddValue(const T&, tensorflow::tfprof::TFProfTensorProto*)':
./tensorflow/core/profiler/internal/tfprof_tensor.h:79:3: warning: no return statement in function returning non-void [-Wreturn-type]
   }
   ^
INFO: From Compiling tensorflow/core/profiler/internal/tfprof_code.cc [for host]:
In file included from ./tensorflow/core/profiler/internal/tfprof_show.h:32:0,
                 from ./tensorflow/core/profiler/internal/tfprof_show_multi.h:32,
                 from ./tensorflow/core/profiler/internal/tfprof_code.h:31,
                 from tensorflow/core/profiler/internal/tfprof_code.cc:16:
./tensorflow/core/profiler/internal/tfprof_tensor.h: In member function 'bool tensorflow::tfprof::TFProfTensor::AddValue(const T&, tensorflow::tfprof::TFProfTensorProto*)':
./tensorflow/core/profiler/internal/tfprof_tensor.h:79:3: warning: no return statement in function returning non-void [-Wreturn-type]
   }
   ^
tensorflow/core/profiler/internal/tfprof_code.cc: In member function 'virtual void tensorflow::tfprof::TFCode::AddNode(tensorflow::tfprof::TFGraphNode*)':
tensorflow/core/profiler/internal/tfprof_code.cc:413:21: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
   for (int i = 0; i < node->call_stack()->traces().size(); ++i) {
                     ^
tensorflow/core/profiler/internal/tfprof_code.cc:420:11: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
     if (i == node->call_stack()->traces().size() - 1) {
           ^
tensorflow/core/profiler/internal/tfprof_code.cc: In member function 'virtual void tensorflow::tfprof::TFCode::Build()':
tensorflow/core/profiler/internal/tfprof_code.cc:438:23: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
     for (int i = 0; i < fn->call_stack()->traces().size(); ++i) {
                       ^
tensorflow/core/profiler/internal/tfprof_code.cc:443:13: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
       if (i == fn->call_stack()->traces().size() - 1) {
             ^
INFO: From Compiling tensorflow/core/kernels/serialize_sparse_op.cc [for host]:
In file included from tensorflow/core/kernels/serialize_sparse_op.cc:35:0:
./tensorflow/core/util/sparse/sparse_tensor.h: In static member function 'static tensorflow::Status tensorflow::sparse::SparseTensor::Create(tensorflow::Tensor, tensorflow::Tensor, const tensorflow::TensorShape&, tensorflow::sparse::SparseTensor::VarDimArray, tensorflow::sparse::SparseTensor*)':
./tensorflow/core/util/sparse/sparse_tensor.h:67:22: warning: 'dims' may be used uninitialized in this function [-Wmaybe-uninitialized]
     if (order.size() != dims) {
                      ^
./tensorflow/core/util/sparse/sparse_tensor.h:65:9: note: 'dims' was declared here
     int dims;
         ^
INFO: From Compiling tensorflow/core/profiler/internal/print_model_analysis.cc [for host]:
In file included from ./tensorflow/core/profiler/internal/tfprof_show.h:32:0,
                 from ./tensorflow/core/profiler/internal/tfprof_show_multi.h:32,
                 from ./tensorflow/core/profiler/internal/tfprof_code.h:31,
                 from ./tensorflow/core/profiler/internal/tfprof_stats.h:37,
                 from ./tensorflow/core/profiler/internal/advisor/checker.h:20,
                 from ./tensorflow/core/profiler/internal/advisor/accelerator_utilization_checker.h:19,
                 from ./tensorflow/core/profiler/internal/advisor/tfprof_advisor.h:19,
                 from tensorflow/core/profiler/internal/print_model_analysis.cc:25:
./tensorflow/core/profiler/internal/tfprof_tensor.h: In member function 'bool tensorflow::tfprof::TFProfTensor::AddValue(const T&, tensorflow::tfprof::TFProfTensorProto*)':
./tensorflow/core/profiler/internal/tfprof_tensor.h:79:3: warning: no return statement in function returning non-void [-Wreturn-type]
   }
   ^
In file included from ./tensorflow/core/profiler/internal/tfprof_stats.h:40:0,
                 from ./tensorflow/core/profiler/internal/advisor/checker.h:20,
                 from ./tensorflow/core/profiler/internal/advisor/accelerator_utilization_checker.h:19,
                 from ./tensorflow/core/profiler/internal/advisor/tfprof_advisor.h:19,
                 from tensorflow/core/profiler/internal/print_model_analysis.cc:25:
./tensorflow/core/profiler/internal/tfprof_op.h: In member function 'virtual bool tensorflow::tfprof::TFOp::ShouldShowIfExtra(const tensorflow::tfprof::ShowMultiNode*, const tensorflow::tfprof::Options&, int) const':
./tensorflow/core/profiler/internal/tfprof_op.h:60:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
     if (opts.min_occurrence > node->node->graph_nodes().size()) {
                             ^
INFO: From Compiling tensorflow/core/profiler/internal/tfprof_stats.cc [for host]:
In file included from ./tensorflow/core/profiler/internal/tfprof_show.h:32:0,
                 from ./tensorflow/core/profiler/internal/tfprof_show_multi.h:32,
                 from ./tensorflow/core/profiler/internal/tfprof_code.h:31,
                 from ./tensorflow/core/profiler/internal/tfprof_stats.h:37,
                 from tensorflow/core/profiler/internal/tfprof_stats.cc:16:
./tensorflow/core/profiler/internal/tfprof_tensor.h: In member function 'bool tensorflow::tfprof::TFProfTensor::AddValue(const T&, tensorflow::tfprof::TFProfTensorProto*)':
./tensorflow/core/profiler/internal/tfprof_tensor.h:79:3: warning: no return statement in function returning non-void [-Wreturn-type]
   }
   ^
In file included from ./tensorflow/core/profiler/internal/tfprof_stats.h:40:0,
                 from tensorflow/core/profiler/internal/tfprof_stats.cc:16:
./tensorflow/core/profiler/internal/tfprof_op.h: In member function 'virtual bool tensorflow::tfprof::TFOp::ShouldShowIfExtra(const tensorflow::tfprof::ShowMultiNode*, const tensorflow::tfprof::Options&, int) const':
./tensorflow/core/profiler/internal/tfprof_op.h:60:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
     if (opts.min_occurrence > node->node->graph_nodes().size()) {
                             ^
INFO: From Compiling tensorflow/python/pywrap_tensorflow_internal.cc [for host]:
bazel-out/host/bin/tensorflow/python/pywrap_tensorflow_internal.cc: In function 'PyObject* TF_GetColocationGroups(GItem)':
bazel-out/host/bin/tensorflow/python/pywrap_tensorflow_internal.cc:4654:9: warning: unused variable 'i' [-Wunused-variable]
     int i = 0;
         ^
bazel-out/host/bin/tensorflow/python/pywrap_tensorflow_internal.cc: In function 'PyObject* _wrap_PyRecordReader_New(PyObject*, PyObject*)':
bazel-out/host/bin/tensorflow/python/pywrap_tensorflow_internal.cc:7424:138: warning: 'arg2' may be used uninitialized in this function [-Wmaybe-uninitialized]
     result = (tensorflow::io::PyRecordReader *)tensorflow::io::PyRecordReader::New((string const &)*arg1,arg2,(string const &)*arg3,arg4);
                                                                                                                                          ^
At global scope:
cc1plus: warning: unrecognized command line option '-Wno-self-assign'
ERROR: /home/sinc-lab/tensorflow/tensorflow/BUILD:588:1: Executing genrule //tensorflow:tensorflow_python_api_gen failed (Exit 1)
Traceback (most recent call last):
  File "/home/sinc-lab/.cache/bazel/_bazel_sinc-lab/80057417903704b9585b5ff1df2312a2/execroot/org_tensorflow/bazel-out/host/bin/tensorflow/create_tensorflow.python_api.runfiles/org_tensorflow/tensorflow/python/tools/api/generator/create_python_api.py", line 27, in <module>
    from tensorflow.python.tools.api.generator import doc_srcs
  File "/home/sinc-lab/.cache/bazel/_bazel_sinc-lab/80057417903704b9585b5ff1df2312a2/execroot/org_tensorflow/bazel-out/host/bin/tensorflow/create_tensorflow.python_api.runfiles/org_tensorflow/tensorflow/python/__init__.py", line 81, in <module>
    from tensorflow.python import keras
  File "/home/sinc-lab/.cache/bazel/_bazel_sinc-lab/80057417903704b9585b5ff1df2312a2/execroot/org_tensorflow/bazel-out/host/bin/tensorflow/create_tensorflow.python_api.runfiles/org_tensorflow/tensorflow/python/keras/__init__.py", line 25, in <module>
    from tensorflow.python.keras import applications
  File "/home/sinc-lab/.cache/bazel/_bazel_sinc-lab/80057417903704b9585b5ff1df2312a2/execroot/org_tensorflow/bazel-out/host/bin/tensorflow/create_tensorflow.python_api.runfiles/org_tensorflow/tensorflow/python/keras/applications/__init__.py", line 21, in <module>
    import keras_applications
ImportError: No module named keras_applications
Target //tensorflow/tools/pip_package:build_pip_package failed to build
Use --verbose_failures to see the command lines of failed build steps.
INFO: Elapsed time: 2163.064s, Critical Path: 183.02s
INFO: 9108 processes: 9108 local.
FAILED: Build did NOT complete successfully
sinc-lab@sinclab-desktop:~/tensorflow$ bazel build --config=cuda --config=opt //tensorflow/tools/pip_package:build_pip_package
WARNING: The following configs were expanded more than once: [cuda]. For repeatable flags, repeats are counted twice and may lead to unexpected behavior.
DEBUG: /home/sinc-lab/.cache/bazel/_bazel_sinc-lab/80057417903704b9585b5ff1df2312a2/external/bazel_tools/tools/cpp/lib_cc_configure.bzl:115:5:
Auto-Configuration Warning: 'TMP' environment variable is not set, using 'C:\Windows\Temp' as default
WARNING: /home/sinc-lab/.cache/bazel/_bazel_sinc-lab/80057417903704b9585b5ff1df2312a2/external/grpc/BUILD:1992:1: in srcs attribute of cc_library rule @grpc//:grpc_nanopb: please do not import '@grpc//third_party/nanopb:pb_common.c' directly. You should either move the file to this package or depend on an appropriate rule there. Since this rule was created by the macro 'grpc_generate_one_off_targets', the error might have been caused by the macro implementation in /home/sinc-lab/.cache/bazel/_bazel_sinc-lab/80057417903704b9585b5ff1df2312a2/external/grpc/bazel/grpc_build_system.bzl:172:12
WARNING: /home/sinc-lab/.cache/bazel/_bazel_sinc-lab/80057417903704b9585b5ff1df2312a2/external/grpc/BUILD:1992:1: in srcs attribute of cc_library rule @grpc//:grpc_nanopb: please do not import '@grpc//third_party/nanopb:pb_decode.c' directly. You should either move the file to this package or depend on an appropriate rule there. Since this rule was created by the macro 'grpc_generate_one_off_targets', the error might have been caused by the macro implementation in /home/sinc-lab/.cache/bazel/_bazel_sinc-lab/80057417903704b9585b5ff1df2312a2/external/grpc/bazel/grpc_build_system.bzl:172:12
WARNING: /home/sinc-lab/.cache/bazel/_bazel_sinc-lab/80057417903704b9585b5ff1df2312a2/external/grpc/BUILD:1992:1: in srcs attribute of cc_library rule @grpc//:grpc_nanopb: please do not import '@grpc//third_party/nanopb:pb_encode.c' directly. You should either move the file to this package or depend on an appropriate rule there. Since this rule was created by the macro 'grpc_generate_one_off_targets', the error might have been caused by the macro implementation in /home/sinc-lab/.cache/bazel/_bazel_sinc-lab/80057417903704b9585b5ff1df2312a2/external/grpc/bazel/grpc_build_system.bzl:172:12
WARNING: /home/sinc-lab/tensorflow/tensorflow/contrib/learn/BUILD:17:1: in py_library rule //tensorflow/contrib/learn:learn: target '//tensorflow/contrib/learn:learn' depends on deprecated target '//tensorflow/contrib/session_bundle:exporter': No longer supported. Switch to SavedModel immediately.
WARNING: /home/sinc-lab/tensorflow/tensorflow/contrib/learn/BUILD:17:1: in py_library rule //tensorflow/contrib/learn:learn: target '//tensorflow/contrib/learn:learn' depends on deprecated target '//tensorflow/contrib/session_bundle:gc': No longer supported. Switch to SavedModel immediately.
WARNING: /home/sinc-lab/tensorflow/tensorflow/contrib/timeseries/python/timeseries/BUILD:354:1: in py_library rule //tensorflow/contrib/timeseries/python/timeseries:ar_model: target '//tensorflow/contrib/timeseries/python/timeseries:ar_model' depends on deprecated target '//tensorflow/contrib/distributions:distributions_py': TensorFlow Distributions has migrated to TensorFlow Probability (https://github.com/tensorflow/probability). Deprecated copies remaining in tf.contrib.distributions are unmaintained, unsupported, and will be removed by late 2018. You should update all usage of `tf.contrib.distributions` to `tfp.distributions`.
WARNING: /home/sinc-lab/tensorflow/tensorflow/contrib/timeseries/python/timeseries/state_space_models/BUILD:230:1: in py_library rule //tensorflow/contrib/timeseries/python/timeseries/state_space_models:filtering_postprocessor: target '//tensorflow/contrib/timeseries/python/timeseries/state_space_models:filtering_postprocessor' depends on deprecated target '//tensorflow/contrib/distributions:distributions_py': TensorFlow Distributions has migrated to TensorFlow Probability (https://github.com/tensorflow/probability). Deprecated copies remaining in tf.contrib.distributions are unmaintained, unsupported, and will be removed by late 2018. You should update all usage of `tf.contrib.distributions` to `tfp.distributions`.
WARNING: /home/sinc-lab/tensorflow/tensorflow/contrib/timeseries/python/timeseries/state_space_models/BUILD:73:1: in py_library rule //tensorflow/contrib/timeseries/python/timeseries/state_space_models:kalman_filter: target '//tensorflow/contrib/timeseries/python/timeseries/state_space_models:kalman_filter' depends on deprecated target '//tensorflow/contrib/distributions:distributions_py': TensorFlow Distributions has migrated to TensorFlow Probability (https://github.com/tensorflow/probability). Deprecated copies remaining in tf.contrib.distributions are unmaintained, unsupported, and will be removed by late 2018. You should update all usage of `tf.contrib.distributions` to `tfp.distributions`.
WARNING: /home/sinc-lab/tensorflow/tensorflow/contrib/seq2seq/BUILD:23:1: in py_library rule //tensorflow/contrib/seq2seq:seq2seq_py: target '//tensorflow/contrib/seq2seq:seq2seq_py' depends on deprecated target '//tensorflow/contrib/distributions:distributions_py': TensorFlow Distributions has migrated to TensorFlow Probability (https://github.com/tensorflow/probability). Deprecated copies remaining in tf.contrib.distributions are unmaintained, unsupported, and will be removed by late 2018. You should update all usage of `tf.contrib.distributions` to `tfp.distributions`.
WARNING: /home/sinc-lab/tensorflow/tensorflow/contrib/bayesflow/BUILD:17:1: in py_library rule //tensorflow/contrib/bayesflow:bayesflow_py: target '//tensorflow/contrib/bayesflow:bayesflow_py' depends on deprecated target '//tensorflow/contrib/distributions:distributions_py': TensorFlow Distributions has migrated to TensorFlow Probability (https://github.com/tensorflow/probability). Deprecated copies remaining in tf.contrib.distributions are unmaintained, unsupported, and will be removed by late 2018. You should update all usage of `tf.contrib.distributions` to `tfp.distributions`.
WARNING: /home/sinc-lab/tensorflow/tensorflow/contrib/BUILD:13:1: in py_library rule //tensorflow/contrib:contrib_py: target '//tensorflow/contrib:contrib_py' depends on deprecated target '//tensorflow/contrib/distributions:distributions_py': TensorFlow Distributions has migrated to TensorFlow Probability (https://github.com/tensorflow/probability). Deprecated copies remaining in tf.contrib.distributions are unmaintained, unsupported, and will be removed by late 2018. You should update all usage of `tf.contrib.distributions` to `tfp.distributions`.
INFO: Analysed target //tensorflow/tools/pip_package:build_pip_package (1 packages loaded).
INFO: Found 1 target...
ERROR: /home/sinc-lab/tensorflow/tensorflow/BUILD:588:1: Executing genrule //tensorflow:tensorflow_python_api_gen failed (Exit 1)
Traceback (most recent call last):
  File "/home/sinc-lab/.cache/bazel/_bazel_sinc-lab/80057417903704b9585b5ff1df2312a2/execroot/org_tensorflow/bazel-out/host/bin/tensorflow/create_tensorflow.python_api.runfiles/org_tensorflow/tensorflow/python/tools/api/generator/create_python_api.py", line 27, in <module>
    from tensorflow.python.tools.api.generator import doc_srcs
  File "/home/sinc-lab/.cache/bazel/_bazel_sinc-lab/80057417903704b9585b5ff1df2312a2/execroot/org_tensorflow/bazel-out/host/bin/tensorflow/create_tensorflow.python_api.runfiles/org_tensorflow/tensorflow/python/__init__.py", line 81, in <module>
    from tensorflow.python import keras
  File "/home/sinc-lab/.cache/bazel/_bazel_sinc-lab/80057417903704b9585b5ff1df2312a2/execroot/org_tensorflow/bazel-out/host/bin/tensorflow/create_tensorflow.python_api.runfiles/org_tensorflow/tensorflow/python/keras/__init__.py", line 25, in <module>
    from tensorflow.python.keras import applications
  File "/home/sinc-lab/.cache/bazel/_bazel_sinc-lab/80057417903704b9585b5ff1df2312a2/execroot/org_tensorflow/bazel-out/host/bin/tensorflow/create_tensorflow.python_api.runfiles/org_tensorflow/tensorflow/python/keras/applications/__init__.py", line 21, in <module>
    import keras_applications
ImportError: No module named keras_applications
Target //tensorflow/tools/pip_package:build_pip_package failed to build
Use --verbose_failures to see the command lines of failed build steps.
INFO: Elapsed time: 2.851s, Critical Path: 1.41s
INFO: 2 processes: 2 local.
FAILED: Build did NOT complete successfully
sinc-lab@sinclab-desktop:~/tensorflow$

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