Error Message: CMake Error at /usr/local/share/cmake-3.23/Modules/CMakeDetermineCUDACompiler.cmake:310 (message): CMAKE_CUDA_ARCHITECTURES must be valid if set. Call Stack (most recent call first): CMakeLists.txt:11 (PROJECT) i instaled cuda with this guide: https://support.system76.com/articles/cuda/ I am not sure if i instaled cuda wrong or if i did somthing other wrong cani please get help

Here are my logs when running the fox example in the testbed (After building successfully following the guidance here:

16:07:43 INFO     Loading NeRF dataset from
16:07:43 INFO       data\nerf\fox\transforms.json
16:07:43 SUCCESS  Loaded 50 images of size 1080x1920 after 0s
16:07:43 INFO       cam_aabb=[min=[1.0229,-1.33309,-0.378748], max=[2.46175,1.00721,1.41295]]
16:07:43 INFO     Loading network config from: configs\nerf\base.json
16:07:43 INFO     GridEncoding:  Nmin=16 b=1.51572 F=2 T=2^19 L=16
Warning: FullyFusedMLP is not supported for the selected architecture 61. Falling back to CutlassMLP. For maximum performance, raise the target GPU architecture to 75+.
Warning: FullyFusedMLP is not supported for the selected architecture 61. Falling back to CutlassMLP. For maximum performance, raise the target GPU architecture to 75+.
16:07:43 INFO     Density model: 3--[HashGrid]-->32--[FullyFusedMLP(neurons=64,layers=3)]-->1
16:07:43 INFO     Color model:   3--[SphericalHarmonics]-->16+16--[FullyFusedMLP(neurons=64,layers=4)]-->3
16:07:43 INFO       total_encoding_params=13074912 total_network_params=9728
Got cutlass error: Error Internal at: 363
Could not free memory: C:\projects\instant-ngp\dependencies\tiny-cuda-nn\include\tiny-cuda-nn/gpu_memory.h:444 cudaDeviceSynchronize() failed with error operation not permitted when stream is capturing

Information: OS: windows 10 CUDA version: cuda_11.6.r11.6/compiler.30794723_0 MSVC version: 19.29.30140 GPU: GTX 1080 Ti

I'm trying to run it on Google Colab, and I'm following this guide: https://github.com/NVlabs/instant-ngp/blob/master/notebooks/instant_ngp.ipynb Everything builds without any errors, when I try to run the run.py code (which is the 8th step of the mentioned link) I get this error:

Traceback (most recent call last):
  File "scripts/run.py", line 29, in <module>
    import pyngp as ngp # noqa
ImportError: /content/instant-ngp/build/pyngp.cpython-37m-x86_64-linux-gnu.so: undefined symbol: _ZNK3ngp7Testbed16crop_box_cornersEb

I saw this issue in which the compiler couldn't find pyngp and there was a suggestion to specify the build folder #43 , so I also tried adding the lines to specify the build folder in run.py, but still no luck.

pyngp_path = '\build'
sys.path.append(pyngp_path)
import pyngp as ngp  # this line should already be there near the top of the code

I'd appreciate it if someone could help me with this.

When running cmake . -B build I get

CMake Error in CMakeLists.txt: No known features for CXX compiler

"MSVC"

version 19.29.30136.0.

What features is it missing? Where do I look for that?

I can't get it to build properly, it would be nice to have a docker image and or dev container to run it. Saves everyone a lot of time trying to build the project.

Log file: https://pastebin.com/uZCE9uE0 Won't compile successfully. Using Windows 10 and Python 3.9.10 Just downloaded lastest CMake, CUDA and OptiX GTX 1660 SUPER

Hi

Thanks for sharing the great work. Although the code can be compiled, it fails when running the testbed. Does it mean that there is no way to support running this code on some older GPUs, e.g. Tesla V100 which seems architecture 70. Are there any alternatives?

Thanks

Hi, I wanted to build the project on windows 10 but got some issue when preparing the build.

I got :

-- Building for: Visual Studio 16 2019
-- Selecting Windows SDK version 10.0.19041.0 to target Windows 10.0.19044.
-- The C compiler identification is MSVC 19.29.30136.0
-- The CXX compiler identification is MSVC 19.29.30136.0
-- The CUDA compiler identification is unknown
CMake Error at G:/Program Files/CMake/share/cmake-3.23/Modules/CMakeDetermineCUDACompiler.cmake:633 (message):
  Failed to detect a default CUDA architecture.



  Compiler output:

Call Stack (most recent call first):
  CMakeLists.txt:11 (PROJECT)

I did reinstall CUDA and update it to the path to the latest version with the visual studio integration. And add the files in the VS directory as expected.

nvcc --version
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2022 NVIDIA Corporation
Built on Tue_Mar__8_18:36:24_Pacific_Standard_Time_2022
Cuda compilation tools, release 11.6, V11.6.124
Build cuda_11.6.r11.6/compiler.31057947_0

Thanks in advance

I have the following error when trying to build on windows:

My environment: window 10 cmake 3.22 Visual Studio 2019 CUDA 11.3

Does anyone know what's going on?

This code and project are awesome! Thanks a lot.

In terms of building upon this, I wonder how to access, edit and train the underlying hash+NN representation for a new task.

For example, let's say I have a task with different number of input or output coordinates, e.g. some special video++ like representation which should be directly fitted like the image is done in the demo (e.g. 3 input coordinates (x,y,t) and 5 output coordinates (r,g,b,a,b)).

Do I have access through this code (ideally python bindings, but if not then some c code), to edit the number of input and output coordinates, to provide my own training data which fits with these input/output coordinates, and train your hash+NN representation on a new task?

If this is possible with the code, then pointers on how to do this would be very much appreciated. I'm currently very lost with how to expose this ability in your code base.

Making this easier to do (e.g. easy python bindings), I'm sure would be greatly appreciated by the research community, in order to be able to build upon this awesome work as easily as possible.

Cheers, Jonathon

I am trying to launch testbed application in gui mode on remote ubuntu server and forward display to local Mac with XQuartz. The application fails to start with the following output:

03:23:56 INFO Loading NeRF dataset from 03:23:56 WARNING data/nerf/fox/base_cam.json does not contain any frames. Skipping. 03:23:56 INFO data/nerf/fox/valid.json 03:23:56 INFO data/nerf/fox/transforms.json 03:23:56 INFO data/nerf/fox/camera.json 03:23:56 SUCCESS Loaded 53 images after 0s 03:23:56 INFO cam_aabb=[min=[1.0229,-1.33309,-0.378748], max=[2.46175,1.00721,1.41295]] 03:23:56 INFO Loading network config from: configs/nerf/base.json 03:23:56 INFO GridEncoding: Nmin=16 b=1.51572 F=2 T=2^19 L=16 03:23:56 INFO Density model: 3--[HashGrid]-->32--[FullyFusedMLP(neurons=64,layers=3)]-->1 03:23:56 INFO Color model: 3--[Composite]-->16+16--[FullyFusedMLP(neurons=64,layers=4)]-->3 03:23:56 INFO total_encoding_params=13074912 total_network_params=10240 03:24:02 WARNING Vulkan: loader_icd_scan: Can not find 'ICD' object in ICD JSON file /usr/share/vulkan/icd.d/nvidia_layers.json. Skipping ICD JSON 03:24:02 WARNING Could not initialize Vulkan and NGX. DLSS not supported. (Buffer device address extension not available.) libGL error: No matching fbConfigs or visuals found libGL error: failed to load driver: swrast 03:24:03 ERROR GLFW error #65543: GLX: Forward compatibility requested but GLX_ARB_create_context_profile is unavailable 03:24:03 ERROR Uncaught exception: GLFW window could not be created.

Has anyone encountered the same problem? Any help would be greatly appreciated.

Hello everyone, I am facing a cutlass exception error in cutlass_matmul.h script. I looked all the already available answers regarding that and they are not helpful in resolving this. System : Windows 10, Visual Studio 2019 GPU: 1080, Cuda: 11.6 Also using updated master branch of instant-ngp too How did you solve this error. I am facing the same problem. I am using Windows 10 and old GPU (1080).

Is it related to Cuda? 1080 have Architecture 61. Not sure which version of cuda should I use if not 11.6?

Getting this error when trying to compile it on Ubuntu. Cuda is installed ( v 11.3), did everything according to the readme. What might be wrong?

Full error text:

CMake Error at /usr/share/cmake-3.24/Modules/CMakeDetermineCUDACompiler.cmake:277 (message): CMAKE_CUDA_ARCHITECTURES must be non-empty if set. Call Stack (most recent call first): CMakeLists.txt:11 (project)

-- Configuring incomplete, errors occurred! See also "/home/narvi/apps/instant-ngp/build/CMakeFiles/CMakeOutput.log". See also "/home/narvi/apps/instant-ngp/build/CMakeFiles/CMakeError.log".

Hello, thank you for your great work. I want to know what's the difference between coordinates of colmap2nerf and nerf_synthetic data? I tried the camera respectively in explicitly rendering the reconstructed scenes but looks like nerf_synthetic works but colmap data failed.

HI, I could not train ./build/instant-ngp --scene data/nerf/fox on latest version ( previous version I can testbed) I hvae error : Uncaught exception: instant-ngp/src/testbed_nerf.cu:2694 cudaMemsetAsync(density_grid_tmp, 0, sizeof(float)*n_elements, stream) failed with error invalid argumen

How to fix it ?

When I try to execute testbe.exe on windows (.\build\testbed -- scene data\nerf\fox), I get the following error: Entry Point Not Found, The Procedure entry point cuMemSetAccess Entry Point Could Not Be Located The Dynamic Link Library.

You know why?

Thanks