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Package Details: opencl-amd-dev 1:6.4.0-1

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Git Clone URL:	https://aur.archlinux.org/opencl-amd-dev.git (read-only, click to copy)
Package Base:	opencl-amd-dev
Description:	OpenCL SDK / HIP SDK / ROCM Compiler. This package needs at least 20GB of disk space.
Upstream URL:	http://www.amd.com
Licenses:	custom:AMD
Conflicts:	composablekernel-dev, hipblas, hipblas-common-dev, hipblas-dev, hipblaslt, hipblaslt-dev, hipcub, hipcub-dev, hipfft, hipfft-dev, hipfort, hipfort-dev, hipify-clang, hiprand, hiprand-dev, hipsolver, hipsolver-dev, hipsparse, hipsparse-dev, hipsparselt, hipsparselt-dev, hiptensor, hiptensor-dev, migraphx, migraphx-dev, miopen, miopen-hip, miopen-hip-dev, mivisionx, mivisionx-dev, openmp-extras-dev, rccl, rccl-dev, rocalution, rocalution-dev, rocblas, rocblas-dev, rocfft, rocfft-dev, rocm-developer-tools, rocm-hip-libraries, rocm-hip-runtime-dev, rocm-hip-sdk, rocm-llvm, rocm-ml-libraries, rocm-ml-sdk, rocm-opencl-sdk, rocprim, rocprim-dev, rocprofiler-compute, rocprofiler-sdk, rocprofiler-sdk-roctx, rocprofiler-systems, rocrand, rocrand-dev, rocsolver, rocsolver-dev, rocsparse, rocsparse-dev, rocthrust, rocthrust-dev, rocwmma-dev, rpp, rpp-dev
Provides:	composablekernel-dev, half, hipblas, hipblas-common-dev, hipblas-dev, hipblaslt, hipblaslt-dev, hipcub, hipcub-dev, hipfft, hipfft-dev, hipfort, hipfort-dev, hipify-clang, hiprand, hiprand-dev, hipsolver, hipsolver-dev, hipsparse, hipsparse-dev, hipsparselt, hipsparselt-dev, hiptensor, hiptensor-dev, migraphx, migraphx-dev, miopen, miopen-hip, miopen-hip-dev, mivisionx, mivisionx-dev, openmp-extras-dev, rccl, rccl-dev, rocalution, rocalution-dev, rocblas, rocblas-dev, rocfft, rocfft-dev, rocm-developer-tools, rocm-hip-libraries, rocm-hip-runtime-dev, rocm-hip-sdk, rocm-llvm, rocm-ml-libraries, rocm-ml-sdk, rocm-opencl-sdk, rocprim, rocprim-dev, rocprofiler-compute, rocprofiler-sdk, rocprofiler-sdk-roctx, rocprofiler-systems, rocrand, rocrand-dev, rocsolver, rocsolver-dev, rocsparse, rocsparse-dev, rocthrust, rocthrust-dev, rocwmma-dev, rpp, rpp-dev
Submitter:	luciddream
Maintainer:	luciddream
Last Packager:	luciddream
Votes:	9
Popularity:	0.26
First Submitted:	2021-12-26 15:01 (UTC)
Last Updated:	2025-04-11 22:54 (UTC)

Dependencies (5)

blas (blis-cblas-openmp^AUR, blis-cblas^AUR, aocl-blis-aocc^AUR, blas-git^AUR, atlas-lapack^AUR, blas-aocl-gcc^AUR, blas-aocl-aocc^AUR, blis-git^AUR, blis^AUR, blas-mkl^AUR, aocl-blis^AUR, openblas-lapack^AUR, blas-openblas)
lapack (aocl-libflame-aocc^AUR, lapack-git^AUR, atlas-lapack^AUR, blas-aocl-gcc^AUR, blas-aocl-aocc^AUR, blas-mkl^AUR, aocl-libflame^AUR, openblas-lapack^AUR, blas-openblas)
opencl-amd^AUR (amdapp-sdk^AUR)
suitesparse
wget (wget-git^AUR, wurl^AUR) (make)

Required by (153)

adaptivecpp (requires rocm-llvm) (make)
adaptivecpp-git (requires rocm-llvm) (make)
darknet-hankai-git (requires rocm-hip-sdk) (optional)
ggml-hipblas-git (requires hipblas)
ggml-hipblas-git (requires rocm-hip-sdk) (make)
ginkgo-hpc-cuda-git (requires hipfft) (make)
ginkgo-hpc-cuda-git (requires hiprand) (make)
ginkgo-hpc-cuda-git (requires hipsparse) (make)
ginkgo-hpc-cuda-git (requires rocthrust) (make)
ginkgo-hpc-cuda-git (requires hipblas) (make)
ginkgo-hpc-docs-git (requires hipfft) (make)
ginkgo-hpc-docs-git (requires hiprand) (make)
ginkgo-hpc-docs-git (requires hipsparse) (make)
ginkgo-hpc-docs-git (requires rocthrust) (make)
ginkgo-hpc-docs-git (requires hipblas) (make)
ginkgo-hpc-git (requires hiprand) (make)
ginkgo-hpc-git (requires hipsparse) (make)
ginkgo-hpc-git (requires rocthrust) (make)
ginkgo-hpc-git (requires hipblas) (make)
ginkgo-hpc-git (requires hipfft) (make)
ginkgo-hpc-hip-git (requires hipfft)
ginkgo-hpc-hip-git (requires hipfft) (make)
ginkgo-hpc-hip-git (requires hiprand)
ginkgo-hpc-hip-git (requires hiprand) (make)
ginkgo-hpc-hip-git (requires hipsparse)
ginkgo-hpc-hip-git (requires hipsparse) (make)
ginkgo-hpc-hip-git (requires rocthrust) (make)
ginkgo-hpc-hip-git (requires hipblas)
ginkgo-hpc-hip-git (requires hipblas) (make)
hipsycl-rocm (requires rocm-hip-sdk)
hipsycl-rocm-git (requires rocm-hip-sdk)
koboldcpp-hipblas (requires hipblas)
llama-cpp-rocm-git (requires rocm-llvm) (make)
llama-cpp-rocm-git (requires hipblas)
llama.cpp-hip (requires rocm-hip-sdk) (make)
llama.cpp-hip (requires rocblas)
llama.cpp-hip (requires hipblas)
llamafile (requires hipblas) (optional)
llamafile-bin (requires hipblas) (optional)
llamafile-git (requires hipblas) (optional)
local-ai-hipblas (requires rocm-hip-sdk) (make)
localai-git (requires rocm-hip-sdk) (make)
localai-git (requires rccl) (make)
localai-git (requires miopen-hip) (make)
localai-git-cuda (requires rocm-hip-sdk) (make)
localai-git-cuda (requires rccl) (make)
localai-git-cuda (requires miopen-hip) (make)
localai-git-cuda-python (requires rocm-hip-sdk) (make)
localai-git-cuda-python (requires rccl) (make)
localai-git-cuda-python (requires miopen-hip) (make)
localai-git-python (requires rocm-hip-sdk) (make)
localai-git-python (requires rccl) (make)
localai-git-python (requires miopen-hip) (make)
localai-git-rocm (requires miopen-hip) (make)
localai-git-rocm (requires rocm-hip-sdk) (make)
localai-git-rocm (requires rccl) (make)
localai-git-rocm (requires hipblas)
localai-git-rocm (requires rocblas)
localai-git-rocm-python (requires miopen-hip) (make)
localai-git-rocm-python (requires rocm-hip-sdk) (make)
localai-git-rocm-python (requires rccl) (make)
migraphx (requires half) (make)
migraphx (requires miopen)
miopen-opencl (requires rocm-llvm)
miopen-opencl (requires rocblas)
mivisionx (requires migraphx)
mivisionx (requires miopen-hip)
ollama-rocm-git (requires rocm-opencl-sdk) (make)
ollama-rocm-git (requires rocsolver)
ollama-rocm-git (requires rocsolver) (make)
ollama-rocm-git (requires rocsparse)
ollama-rocm-git (requires rocsparse) (make)
ollama-rocm-git (requires rocblas)
ollama-rocm-git (requires hipblas)
ollama-rocm-git (requires rocblas) (make)
ollama-rocm-git (requires hipblas) (make)
ollama-rocm-git (requires rocm-hip-sdk) (make)
opencl-amd (optional)
openmp-extras (requires rocm-llvm)
python-bitsandbytes-rocm-git (requires hiprand)
python-bitsandbytes-rocm-git (requires hipsparse)
python-bitsandbytes-rocm-git (requires rocthrust)
python-bitsandbytes-rocm-git (requires hipcub)
python-bitsandbytes-rocm-git (requires hipblaslt)
python-cupy-rocm (requires rocm-hip-sdk)
python-cupy-rocm (requires rocm-hip-sdk) (make)
python-jax-rocm (requires rocm-hip-sdk) (make)
python-jax-rocm (requires rccl)
python-jax-rocm (requires rccl) (make)
python-jax-rocm (requires miopen)
python-jax-rocm (requires miopen) (make)
python-pytorch-cxx11abi (requires hipblaslt) (make)
python-pytorch-cxx11abi (requires rocm-hip-sdk) (make)
python-pytorch-cxx11abi (requires miopen-hip) (make)
python-pytorch-cxx11abi-cuda (requires hipblaslt) (make)
python-pytorch-cxx11abi-cuda (requires rocm-hip-sdk) (make)
python-pytorch-cxx11abi-cuda (requires miopen-hip) (make)
python-pytorch-cxx11abi-opt (requires hipblaslt) (make)
python-pytorch-cxx11abi-opt (requires rocm-hip-sdk) (make)
python-pytorch-cxx11abi-opt (requires miopen-hip) (make)
python-pytorch-cxx11abi-opt-cuda (requires hipblaslt) (make)
python-pytorch-cxx11abi-opt-cuda (requires rocm-hip-sdk) (make)
python-pytorch-cxx11abi-opt-cuda (requires miopen-hip) (make)
python-pytorch-cxx11abi-opt-rocm (requires rocm-hip-sdk)
python-pytorch-cxx11abi-opt-rocm (requires rocm-hip-sdk) (make)
python-pytorch-cxx11abi-opt-rocm (requires miopen-hip)
python-pytorch-cxx11abi-opt-rocm (requires miopen-hip) (make)
python-pytorch-cxx11abi-opt-rocm (requires hipblaslt)
python-pytorch-cxx11abi-opt-rocm (requires hipblaslt) (make)
python-pytorch-cxx11abi-rocm (requires hipblaslt)
python-pytorch-cxx11abi-rocm (requires rocm-hip-sdk)
python-pytorch-cxx11abi-rocm (requires rocm-hip-sdk) (make)
python-pytorch-cxx11abi-rocm (requires miopen-hip)
python-pytorch-cxx11abi-rocm (requires miopen-hip) (make)
python-pytorch-cxx11abi-rocm (requires hipblaslt) (make)
python-tensorflow-opt-rocm (requires rocm-hip-sdk)
python-tensorflow-opt-rocm (requires rocm-hip-sdk) (make)
python-tensorflow-opt-rocm (requires rccl)
python-tensorflow-opt-rocm (requires rccl) (make)
python-tensorflow-opt-rocm (requires miopen)
python-tensorflow-opt-rocm (requires miopen) (make)
python-tensorflow-rocm (requires rccl)
python-tensorflow-rocm (requires rccl) (make)
python-tensorflow-rocm (requires miopen)
python-tensorflow-rocm (requires miopen) (make)
python-tensorflow-rocm (requires rocm-hip-sdk)
python-tensorflow-rocm (requires rocm-hip-sdk) (make)
python-torchvision-rocm (requires miopen-hip) (make)
python-torchvision-rocm (requires rocm-hip-sdk) (make)
rocblas-gfx1010-backend (requires rocblas)
rocm-validation-suite (requires rocblas)
rocsparse-gfx1010 (requires rocprim)
rocwmma (requires rocblas)
shadps4 (requires half) (make)
shadps4-git (requires half) (make)
stable-diffusion.cpp-hipblas-git (requires rocm-hip-sdk) (make)
stable-diffusion.cpp-hipblas-git (requires hipblas)
tensorflow-opt-rocm (requires rocm-hip-sdk) (make)
tensorflow-opt-rocm (requires rccl)
tensorflow-opt-rocm (requires rccl) (make)
tensorflow-opt-rocm (requires miopen)
tensorflow-opt-rocm (requires miopen) (make)
tensorflow-opt-rocm (requires rocm-hip-sdk)
tensorflow-rocm (requires rccl)
tensorflow-rocm (requires rccl) (make)
tensorflow-rocm (requires miopen)
tensorflow-rocm (requires miopen) (make)
tensorflow-rocm (requires rocm-hip-sdk)
tensorflow-rocm (requires rocm-hip-sdk) (make)
torchvision-rocm (requires miopen-hip) (make)
torchvision-rocm (requires rocm-hip-sdk) (make)
xkblas (requires hipify-clang) (make)
xkblas (requires hipblas)

Sources (56)

Pinned Comments

luciddream commented on 2022-01-12 16:47 (UTC) (edited on 2025-04-11 22:57 (UTC) by luciddream)

Latest release: 6.4.0. It uses 12.67GB of disk.

Latest Comments

« First ‹ Previous 1 .. 3 4 5 6 7 8 9 Next › Last »

luciddream commented on 2022-01-11 22:20 (UTC)

@esistgut

I will take a better look the next days. I think this package is missing a lot of libraries. I noticed that when I tried to compile Pytorch myself. I will then make a new release. Thanks for your feedback!

esistgut commented on 2022-01-11 20:10 (UTC)

(venv) esistgut@nibiru:~/coding/python/fastai$ cat check.py 
import torch
print(torch.cuda.is_available())
(venv) esistgut@nibiru:~/coding/python/fastai$ python check.py 
"hipErrorNoBinaryForGpu: Unable to find code object for all current devices!"
Aborted (core dumped)
(venv) esistgut@nibiru:~/coding/python/fastai$ HSA_OVERRIDE_GFX_VERSION=1030 python check.py 
False

https://pytorch.org/docs/stable/notes/hip.html

luciddream commented on 2022-01-11 19:49 (UTC)

Sadly when I try to train some models I get the following error:

terminate called after throwing an instance of 'c10::HIPError'
  what():  HIP error: hipErrorNoDevice
Exception raised from deviceCount at /pytorch/aten/src/ATen/hip/impl/HIPGuardImplMasqueradingAsCUDA.h:102 (most recent call first):

luciddream commented on 2022-01-11 18:50 (UTC) (edited on 2022-01-11 18:52 (UTC) by luciddream)

I exported HSA_OVERRIDE_GFX_VERSION=1030 for my 5700XT and Pytorch demo runs correctly:

xxx@home ~> python3.9 test.py
tensor([[0.7564, 0.9492, 0.3519],
        [0.2405, 0.4661, 0.9351],
        [0.6362, 0.6414, 0.1716],
        [0.4208, 0.5748, 0.9710],
        [0.7452, 0.1493, 0.2885]])

luciddream commented on 2022-01-11 16:41 (UTC)

Yes, good find, that guy is saying that patching pytorch with https://github.com/pytorch/pytorch/pull/67294 - should make it work for your GPU. I will also give it a try later

esistgut commented on 2022-01-11 16:36 (UTC)

https://www.reddit.com/r/Amd/comments/rd7mmi/heres_something_you_dont_see_every_day_pytorch/ as far as I can tell it should work on gfx1030, people are patching it to add support for other Navi GPUs. Could it be that pytorch installed from pip can't find ROCm stuff in /opt ? I'm not sure, I'm no expert.

luciddream commented on 2022-01-11 16:31 (UTC)

There is an issue here that has some suggestions. I will try to take a better look later tonight.

luciddream commented on 2022-01-11 16:26 (UTC)

I'm having the same error as you do. I think it's normal because ROCM doesn't support RDNA GPUs yet. I'm not 100% sure though, so I'm open to suggestions :)

You can verify that HIP is working though by running some samples in the package. /opt/rocm/hip/

esistgut commented on 2022-01-11 16:15 (UTC)

This is my rocminfo:

ROCk module is loaded
=====================    
HSA System Attributes    
=====================    
Runtime Version:         1.1
System Timestamp Freq.:  1000.000000MHz
Sig. Max Wait Duration:  18446744073709551615 (0xFFFFFFFFFFFFFFFF) (timestamp count)
Machine Model:           LARGE                              
System Endianness:       LITTLE                             

==========               
HSA Agents               
==========               
*******                  
Agent 1                  
*******                  
  Name:                    AMD Ryzen 7 3700X 8-Core Processor 
  Uuid:                    CPU-XX                             
  Marketing Name:          AMD Ryzen 7 3700X 8-Core Processor 
  Vendor Name:             CPU                                
  Feature:                 None specified                     
  Profile:                 FULL_PROFILE                       
  Float Round Mode:        NEAR                               
  Max Queue Number:        0(0x0)                             
  Queue Min Size:          0(0x0)                             
  Queue Max Size:          0(0x0)                             
  Queue Type:              MULTI                              
  Node:                    0                                  
  Device Type:             CPU                                
  Cache Info:              
    L1:                      32768(0x8000) KB                   
  Chip ID:                 0(0x0)                             
  Cacheline Size:          64(0x40)                           
  Max Clock Freq. (MHz):   3600                               
  BDFID:                   0                                  
  Internal Node ID:        0                                  
  Compute Unit:            16                                 
  SIMDs per CU:            0                                  
  Shader Engines:          0                                  
  Shader Arrs. per Eng.:   0                                  
  WatchPts on Addr. Ranges:1                                  
  Features:                None
  Pool Info:               
    Pool 1                   
      Segment:                 GLOBAL; FLAGS: FINE GRAINED        
      Size:                    32848796(0x1f53b9c) KB             
      Allocatable:             TRUE                               
      Alloc Granule:           4KB                                
      Alloc Alignment:         4KB                                
      Accessible by all:       TRUE                               
    Pool 2                   
      Segment:                 GLOBAL; FLAGS: KERNARG, FINE GRAINED
      Size:                    32848796(0x1f53b9c) KB             
      Allocatable:             TRUE                               
      Alloc Granule:           4KB                                
      Alloc Alignment:         4KB                                
      Accessible by all:       TRUE                               
    Pool 3                   
      Segment:                 GLOBAL; FLAGS: COARSE GRAINED      
      Size:                    32848796(0x1f53b9c) KB             
      Allocatable:             TRUE                               
      Alloc Granule:           4KB                                
      Alloc Alignment:         4KB                                
      Accessible by all:       TRUE                               
  ISA Info:                
*******                  
Agent 2                  
*******                  
  Name:                    gfx1030                            
  Uuid:                    GPU-XX                             
  Marketing Name:          AMD Radeon RX 6900 XT              
  Vendor Name:             AMD                                
  Feature:                 KERNEL_DISPATCH                    
  Profile:                 BASE_PROFILE                       
  Float Round Mode:        NEAR                               
  Max Queue Number:        128(0x80)                          
  Queue Min Size:          4096(0x1000)                       
  Queue Max Size:          131072(0x20000)                    
  Queue Type:              MULTI                              
  Node:                    1                                  
  Device Type:             GPU                                
  Cache Info:              
    L1:                      16(0x10) KB                        
    L2:                      4096(0x1000) KB                    
    L3:                      131072(0x20000) KB                 
  Chip ID:                 29631(0x73bf)                      
  Cacheline Size:          64(0x40)                           
  Max Clock Freq. (MHz):   2660                               
  BDFID:                   2816                               
  Internal Node ID:        1                                  
  Compute Unit:            80                                 
  SIMDs per CU:            2                                  
  Shader Engines:          8                                  
  Shader Arrs. per Eng.:   2                                  
  WatchPts on Addr. Ranges:4                                  
  Features:                KERNEL_DISPATCH 
  Fast F16 Operation:      FALSE                              
  Wavefront Size:          32(0x20)                           
  Workgroup Max Size:      1024(0x400)                        
  Workgroup Max Size per Dimension:
    x                        1024(0x400)                        
    y                        1024(0x400)                        
    z                        1024(0x400)                        
  Max Waves Per CU:        32(0x20)                           
  Max Work-item Per CU:    1024(0x400)                        
  Grid Max Size:           4294967295(0xffffffff)             
  Grid Max Size per Dimension:
    x                        4294967295(0xffffffff)             
    y                        4294967295(0xffffffff)             
    z                        4294967295(0xffffffff)             
  Max fbarriers/Workgrp:   32                                 
  Pool Info:               
    Pool 1                   
      Segment:                 GLOBAL; FLAGS: COARSE GRAINED      
      Size:                    16760832(0xffc000) KB              
      Allocatable:             TRUE                               
      Alloc Granule:           4KB                                
      Alloc Alignment:         4KB                                
      Accessible by all:       FALSE                              
    Pool 2                   
      Segment:                 GROUP                              
      Size:                    64(0x40) KB                        
      Allocatable:             FALSE                              
      Alloc Granule:           0KB                                
      Alloc Alignment:         0KB                                
      Accessible by all:       FALSE                              
  ISA Info:                
    ISA 1                    
      Name:                    amdgcn-amd-amdhsa--gfx1030         
      Machine Models:          HSA_MACHINE_MODEL_LARGE            
      Profiles:                HSA_PROFILE_BASE                   
      Default Rounding Mode:   NEAR                               
      Default Rounding Mode:   NEAR                               
      Fast f16:                TRUE                               
      Workgroup Max Size:      1024(0x400)                        
      Workgroup Max Size per Dimension:
        x                        1024(0x400)                        
        y                        1024(0x400)                        
        z                        1024(0x400)                        
      Grid Max Size:           4294967295(0xffffffff)             
      Grid Max Size per Dimension:
        x                        4294967295(0xffffffff)             
        y                        4294967295(0xffffffff)             
        z                        4294967295(0xffffffff)             
      FBarrier Max Size:       32                                 
*** Done ***

esistgut commented on 2022-01-11 16:14 (UTC)

I installed python 3.9 from the AUR package and then installed pytorch with the same command you posted but it is not working:

(venv) esistgut@nibiru:~/coding/python/fastai$ python --version
Python 3.9.9
(venv) esistgut@nibiru:~/coding/python/fastai$ cat asd.py 
import torch

if torch.opencl.is_available():
    device = torch.device("opencl")
else:
    device = torch.device("cpu")

print(device)
(venv) esistgut@nibiru:~/coding/python/fastai$ python asd.py 
"hipErrorNoBinaryForGpu: Unable to find code object for all current devices!"
Aborted (core dumped)