Hi, all. How’s it going? I’m trying to run TVM on Jetson Xavier, so I installed TVM and its dependencies. However, I ran into this error that I’m not quite sure what can cause this issue.
7: TVMFuncCall
6: std::_Function_handler<void (tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*), tvm::runtime::GraphExecutorFactory::GetFunction(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, tvm::runtime::ObjectPtr<tvm::runtime::Object> const&)::{lambda(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)#1}>::_M_invoke(std::_Any_data const&, tvm::runtime::TVMArgs&&, tvm::runtime::TVMRetValue*&&)
5: tvm::runtime::GraphExecutorFactory::ExecutorCreate(std::vector<DLDevice, std::allocator<DLDevice> > const&)
4: tvm::runtime::GraphExecutor::Init(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, tvm::runtime::Module, std::vector<DLDevice, std::allocator<DLDevice> > const&, tvm::runtime::PackedFunc)
3: tvm::runtime::GraphExecutor::SetupStorage()
2: tvm::runtime::NDArray::Empty(std::vector<long, std::allocator<long> >, DLDataType, DLDevice, tvm::runtime::Optional<tvm::runtime::String>)
1: tvm::runtime::DeviceAPI::AllocDataSpace(DLDevice, int, long const*, DLDataType, tvm::runtime::Optional<tvm::runtime::String>)
0: tvm::runtime::CUDADeviceAPI::AllocDataSpace(DLDevice, unsigned long, unsigned long, DLDataType)
File "/home/fleetadmin/soo/tvm/src/runtime/cuda/cuda_device_api.cc", line 115
TVMError:
Check failed: (e == cudaSuccess || e == cudaErrorCudartUnloading) is false: CUDA: no CUDA-capable device is detected
So, I double-checked if CUDA is installed correctly and CUDA seems fine. This is what I got from device query.
./deviceQuery Starting...
CUDA Device Query (Runtime API) version (CUDART static linking)
Detected 1 CUDA Capable device(s)
Device 0: "Xavier"
CUDA Driver Version / Runtime Version 10.2 / 10.2
CUDA Capability Major/Minor version number: 7.2
Total amount of global memory: 7774 MBytes (8151162880 bytes)
( 6) Multiprocessors, ( 64) CUDA Cores/MP: 384 CUDA Cores
GPU Max Clock rate: 1109 MHz (1.11 GHz)
Memory Clock rate: 1109 Mhz
Memory Bus Width: 256-bit
L2 Cache Size: 524288 bytes
Maximum Texture Dimension Size (x,y,z) 1D=(131072), 2D=(131072, 65536), 3D=(16384, 16384, 16384)
Maximum Layered 1D Texture Size, (num) layers 1D=(32768), 2048 layers
Maximum Layered 2D Texture Size, (num) layers 2D=(32768, 32768), 2048 layers
Total amount of constant memory: 65536 bytes
Total amount of shared memory per block: 49152 bytes
Total number of registers available per block: 65536
Warp size: 32
Maximum number of threads per multiprocessor: 2048
Maximum number of threads per block: 1024
Max dimension size of a thread block (x,y,z): (1024, 1024, 64)
Max dimension size of a grid size (x,y,z): (2147483647, 65535, 65535)
Maximum memory pitch: 2147483647 bytes
Texture alignment: 512 bytes
Concurrent copy and kernel execution: Yes with 1 copy engine(s)
Run time limit on kernels: No
Integrated GPU sharing Host Memory: Yes
Support host page-locked memory mapping: Yes
Alignment requirement for Surfaces: Yes
Device has ECC support: Disabled
Device supports Unified Addressing (UVA): Yes
Device supports Compute Preemption: Yes
Supports Cooperative Kernel Launch: Yes
Supports MultiDevice Co-op Kernel Launch: Yes
Device PCI Domain ID / Bus ID / location ID: 0 / 0 / 0
Compute Mode:
< Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) >
deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 10.2, CUDA Runtime Version = 10.2, NumDevs = 1
Result = PASS
I also checked with TVM side as follows.
>>> import tvm
>>> print(tvm.gpu(0).exist)
True
>>> print(tvm.gpu(0).compute_version)
7.2
I kinda checked everything I can think of at the moment. If anyone can give me any suggestion or advice, that would be greatly helpful. Thank you!
