i've cloned a "PointPillars" repo for 3D detection using just point cloud as input. But when I came to run it, I noted it use cuda and numba. With any prior knowledge about these two, I'm asking if there is any way to remove or disable numba and cuda. I want to run it on local server with CPU only, so I want your advice to solve.
How to disable or remove numba and cuda from python project?
1k Views Asked by Yosh At
1
There are 1 best solutions below
Related Questions in CUDA
- CUDA matrix inversion
- How can I do a successful map when the number of elements to be mapped is not consistent in Thrust C++
- Subtraction and multiplication of an array with compute-bound in CUDA kernel
- Is there a way to profile a CUDA kernel from another CUDA kernel
- Cuda reduce kernel result off by 2
- CUDA is compatible with gtx 1660ti laptop GPU?
- How can I delete a process in CUDA?
- Use Nvidia as DMA devices is possible?
- How to runtime detect when CUDA-aware MPI will transmit through RAM?
- How to tell CMake to compile all cpp files as CUDA sources
- Bank Conflict Issue in CUDA Shared Memory Access
- NVIDIA-SMI 550.54.15 with CUDA Version: 12.4
- Using CUDA with an intel gpu
- What are the limits on CUDA printf arguments?
- Why do CUDA asynchronous errors occur? （occur on the linux OS）
Related Questions in NUMBA
- numba prints "<NULL>"
- Send array argument to a numba function
- Compute flat index using Numba
- How to speed up multidimentional Longsumexp and softmax using numba
- Fast way to convert 2d string numpy array to a 3d int array
- How to coalesce masked array indices for CUDA Kernel
- Runtime spike when memory usage exceeds specific value
- How to use Numba CUDA JIT decorator?
- jit - "Failed in nopython mode pipeline" error, despite not using nopython in numba
- Need help to run a python function with GPU from pycharm or jupyter notebook
- converting numpy datetime64 in a numba jitclass to unix timestamp
- How to recreate axis = 2 in np.repeat() for Numba (repeat array in the last dimension)
- using list of strings in Numba jitclass
- Error during SHAP library initialization: _internal failure without exception
- Making masks based on euclidean distance with pyopencl, arrayfire or another python opencl library
Related Questions in NVCC
- Is there a way to enable `-Wconversion` in nvcc for the device code (the kernel code)?
- Compilation Error with Boost.Geometry and NVCC (CUDA 12.4): '__T0' does not name a type
- Compute and Data transfer not happening concurrently in cuda Streams on Iteration 2
- Missing functions for NVIDIA CUDA 12.3 CSR Formatted Sparse Linear Algebra
- On windows Server 2019 nvidia-smi cannot show the correct installed version of CUDA
- Error linking c++ shared library with CUDA
- CMake fails to link a shared library decorated with a suffix (like somelib.so.1). Is there any way around?
- Compiling cpp helper function with main.cu using NVCC compiler
- Register usage count of kernel different with and without -lineinfo flag
- CMake and Cuda separate compilation of class constructor on device fail during linking
- couldn't allocate an array of size 2116800 on device code
- L1/Texture cache enabling effect on nvcc(cuda 10.2) on jetson nano (maxwell architecture)
- clangd mangling system include paths
- How do I include Cutlass in a CuPy project?
- CondaValueError: invalid package specification: nvcc --version=10.1
Related Questions in NUMBA-PRO
- Matplotlib with Numba to try and accelerate code
- Numba "LoweringError" for complex numbers in numpy array
- How to set numba signature with nested lists?
- How to change array element in numba parallel computing
- Python Numba Recursive Method Implementation in Numba Class
- How to Append list of type String Int and Float using Numba
- Does Numba support in-built python function e.g. `setitem`
- Does Numba support for multiple dictionary multiplication in terms of `multi_dot`?
- Is it not possible to call the in-built function e.g. svd in a custom python function that is parallized using @njit?
- Performance of Parallel computing is lower than No parallel computing in Python
- how to use Shared memory and Global memory and is it possible to use shared as intermediate stage in calculating
- Rolling linear regression for use with groupby operation on a cuDF dataframe
- How fast or slow is the Constant memory that Numba allows a device to allocate, when compared to local and shared memories?
- cuDF - groupby UDF to support datetime
- Numba matrix multiplication much slower than NumPy
Trending Questions
- UIImageView Frame Doesn't Reflect Constraints
- Is it possible to use adb commands to click on a view by finding its ID?
- How to create a new web character symbol recognizable by html/javascript?
- Why isn't my CSS3 animation smooth in Google Chrome (but very smooth on other browsers)?
- Heap Gives Page Fault
- Connect ffmpeg to Visual Studio 2008
- Both Object- and ValueAnimator jumps when Duration is set above API LvL 24
- How to avoid default initialization of objects in std::vector?
- second argument of the command line arguments in a format other than char** argv or char* argv[]
- How to improve efficiency of algorithm which generates next lexicographic permutation?
- Navigating to the another actvity app getting crash in android
- How to read the particular message format in android and store in sqlite database?
- Resetting inventory status after order is cancelled
- Efficiently compute powers of X in SSE/AVX
- Insert into an external database using ajax and php : POST 500 (Internal Server Error)
Popular # Hahtags
Popular Questions
- How do I undo the most recent local commits in Git?
- How can I remove a specific item from an array in JavaScript?
- How do I delete a Git branch locally and remotely?
- Find all files containing a specific text (string) on Linux?
- How do I revert a Git repository to a previous commit?
- How do I create an HTML button that acts like a link?
- How do I check out a remote Git branch?
- How do I force "git pull" to overwrite local files?
- How do I list all files of a directory?
- How to check whether a string contains a substring in JavaScript?
- How do I redirect to another webpage?
- How can I iterate over rows in a Pandas DataFrame?
- How do I convert a String to an int in Java?
- Does Python have a string 'contains' substring method?
- How do I check if a string contains a specific word?
The actual code matters here.
If the usage is only of
vectorizeorguvectorizeusing thetarget=cudaparameter, then "removal" of CUDA should be trivial. Just remove the target parameter.However if there is use of the
@cuda.jitdecorator, or explicit copying of data between host and device, then other code refactoring would be involved. There is no simple answer here in that case, the code would have to be converted to an alternate serial or parallel realization via refactoring or porting.