CUDA 10 support

[vadimkantorov]

CMakeLists.txt needs to be modified. Also suggested in #116 (comment) .

Otherwise test_gpu does not pass and CTCLoss returns 0.0.

   IF (CUDA_VERSION GREATER 7.6)
    set(CUDA_NVCC_FLAGS "${CUDA_NVCC_FLAGS} -gencode arch=compute_60,code=sm_60")
    set(CUDA_NVCC_FLAGS "${CUDA_NVCC_FLAGS} -gencode arch=compute_61,code=sm_61")
    set(CUDA_NVCC_FLAGS "${CUDA_NVCC_FLAGS} -gencode arch=compute_62,code=sm_62")
    set(CUDA_NVCC_FLAGS "${CUDA_NVCC_FLAGS} -gencode arch=compute_70,code=sm_70") ## new line
ENDIF()

[sdzbft]

you can use CTC Loss in pytorch 1.0.1 directly without warp_ctc

[SeanNaren]

warp-ctc does support this compute architecture already, the change was made here