Sergey Kamenev
Sergey Kamenev
Yes. Model on CPU saves correctly.
Do you have any idea what part of the code is wrong?
On AMD OpenCL (AMDAPPSDK-3.0) another error: ``` python tests/test_op.py --device privateuseone:2 Mean 1d Accessing device #2:AMD EPYC 7542 32-Core Processor on AMD Accelerated Parallel Processing torch.Size([1, 3, 4]) torch.Size([1, 3,...
On AMD OpenCL (from amdgpu-pro) also error in the end of test: ``` Mean 1d Accessing device #3:Fiji on AMD Accelerated Parallel Processing torch.Size([1, 3, 4]) torch.Size([1, 3, 4]) y...
What's the difference between self and self_c?
I fixed these and other errors in my pull request. But the following line in my code confuses me. Will it cause a memory leak? `self = self.contigouos()` It seems...
Thanks for the extension! I also downgraded Thunderbird to 60.9.1. Let me know if you need a donation.
I created pull request with this change and improve working with timeout exceeded error
I'm using PyTorch version 1.13.1 and Amd Fury Mean 1d Accessing device #1:AMD Radeon R9 Fury Series (radeonsi, fiji, LLVM 17.0.6, DRM 3.57, 6.8.9-calculate) on rusticl ....... Sum 2d squeeze...
GPU is AMD Fury (radeonsi, fiji chipset) ``` Platform Name rusticl Number of devices 1 Device Name AMD Radeon R9 Fury Series (radeonsi, fiji, LLVM 17.0.6, DRM 3.54, 6.6.12-calculate) Device...