-
"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.6\bin\nvcc" -c ./clrnet/ops/csrc\nms_kernel.cu -o build\temp.win-amd64-3.9\Release\./clrnet/ops/csrc\nms_kernel.obj -IH:\ana\envs\swinunet\lib\s…
-
### Cloud Computing Instance Flavor
g3.xl - GPU instance (32 CPUs, 125 GB RAM and A100 GPU)
### Description
I think we need to start from a fresh install to test the directory issue
### ORCID
000…
-
**Describe the bug**
The correct path would be `C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v10.0/include` but instead only `C:/Program Files/NVIDIA` is used.
**To Reproduce**
This is a bu…
-
Hello all,
I've been suffering an error during the second build stage, I can build the directory successfully but can't seem to complete the second stage of compiling everything.
It seems to be…
-
### What is the feature?
Hello MMEngine Community,
I hope this message finds you well. I am writing to propose an enhancement to MMEngine that I believe would significantly improve its usab…
-
Hi there,
I am using theano to build a RNN language model. In my case the output layer size is about 10K. Computing y (the output layer) outside of scan and inside of scan can lead to quit different …
-
-
• Team Name
B-Datagray
Product Introduction
B-Datagray is developing a decentralized cloud computing (GPU/CPU) infrastructure, for different applications. The infrastructure will be developed mo…
-
I'd like to suggest the addition of the capability to run models with multiple spheres arbitrarily placed inside other spheres (similar to MSTM). As far as I can tell, there is not currently another l…
-
Ref numpy
a = np.array([1,2,3,2,3,4,3,4,5,6])
b = np.array([7,2,10,2,7,4,9,4,9,8])
1.distance=np.sqrt(np.sum((a-b)**2))
2.distance=np.linalg.norm(a - b)
It is hoped that GPU can accelerate the calcul…