ROCm / amdsmi

AMD SMI
https://rocm.docs.amd.com/projects/amdsmi/en/latest
MIT License
39 stars 23 forks source link

[Issue]: ROCm 6.1: ModuleNotFoundError: No module named 'yaml' #19

Open brettkoonce opened 5 months ago

brettkoonce commented 5 months ago

Problem Description

installed rocm 6.1, getting this error

OS: NAME="Ubuntu" VERSION="22.04.4 LTS (Jammy Jellyfish)" CPU: model name : AMD Ryzen 9 3950X 16-Core Processor GPU: Name: AMD Ryzen 9 3950X 16-Core Processor Marketing Name: AMD Ryzen 9 3950X 16-Core Processor Name: gfx1100
Marketing Name: Radeon RX 7900 XTX
Name: amdgcn-amd-amdhsa--gfx1100

amd-smi ModuleNotFoundError: No module named 'yaml'

Operating System

22.04.4 LTS (Jammy Jellyfish)

CPU

AMD Ryzen 9 3950X 16-Core Processor

GPU

AMD Radeon RX 7900 XTX

ROCm Version

ROCm 6.0.0

ROCm Component

amdsmi

Steps to Reproduce

No response

(Optional for Linux users) Output of /opt/rocm/bin/rocminfo --support

ROCk module version 6.7.0 is loaded =====================
HSA System Attributes
=====================
Runtime Version: 1.13 Runtime Ext Version: 1.4 System Timestamp Freq.: 1000.000000MHz Sig. Max Wait Duration: 18446744073709551615 (0xFFFFFFFFFFFFFFFF) (timestamp count) Machine Model: LARGE
System Endianness: LITTLE
Mwaitx: DISABLED DMAbuf Support: YES

==========
HSA Agents
==========


Agent 1


Name: AMD Ryzen 9 3950X 16-Core Processor Uuid: CPU-XX
Marketing Name: AMD Ryzen 9 3950X 16-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)
ASIC Revision: 0(0x0)
Cacheline Size: 64(0x40)
Max Clock Freq. (MHz): 3500
BDFID: 0
Internal Node ID: 0
Compute Unit: 32
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: 131797452(0x7db11cc) KB
Allocatable: TRUE
Alloc Granule: 4KB
Alloc Recommended Granule:4KB
Alloc Alignment: 4KB
Accessible by all: TRUE
Pool 2
Segment: GLOBAL; FLAGS: KERNARG, FINE GRAINED Size: 131797452(0x7db11cc) KB
Allocatable: TRUE
Alloc Granule: 4KB
Alloc Recommended Granule:4KB
Alloc Alignment: 4KB
Accessible by all: TRUE
Pool 3
Segment: GLOBAL; FLAGS: COARSE GRAINED
Size: 131797452(0x7db11cc) KB
Allocatable: TRUE
Alloc Granule: 4KB
Alloc Recommended Granule:4KB
Alloc Alignment: 4KB
Accessible by all: TRUE
ISA Info:


Agent 2


Name: gfx1100
Uuid: GPU-fff29e921a701d68
Marketing Name: Radeon RX 7900 XTX
Vendor Name: AMD
Feature: KERNEL_DISPATCH
Profile: BASE_PROFILE
Float Round Mode: NEAR
Max Queue Number: 128(0x80)
Queue Min Size: 64(0x40)
Queue Max Size: 131072(0x20000)
Queue Type: MULTI
Node: 1
Device Type: GPU
Cache Info:
L1: 32(0x20) KB
L2: 6144(0x1800) KB
L3: 98304(0x18000) KB
Chip ID: 29772(0x744c)
ASIC Revision: 0(0x0)
Cacheline Size: 64(0x40)
Max Clock Freq. (MHz): 2371
BDFID: 3328
Internal Node ID: 1
Compute Unit: 96
SIMDs per CU: 2
Shader Engines: 6
Shader Arrs. per Eng.: 2
WatchPts on Addr. Ranges:4
Coherent Host Access: FALSE
Features: KERNEL_DISPATCH Fast F16 Operation: TRUE
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
Packet Processor uCode:: 92
SDMA engine uCode:: 20
IOMMU Support:: None
Pool Info:
Pool 1
Segment: GLOBAL; FLAGS: COARSE GRAINED
Size: 25149440(0x17fc000) KB
Allocatable: TRUE
Alloc Granule: 4KB
Alloc Recommended Granule:2048KB
Alloc Alignment: 4KB
Accessible by all: FALSE
Pool 2
Segment: GLOBAL; FLAGS: EXTENDED FINE GRAINED Size: 25149440(0x17fc000) KB
Allocatable: TRUE
Alloc Granule: 4KB
Alloc Recommended Granule:2048KB
Alloc Alignment: 4KB
Accessible by all: FALSE
Pool 3
Segment: GROUP
Size: 64(0x40) KB
Allocatable: FALSE
Alloc Granule: 0KB
Alloc Recommended Granule:0KB
Alloc Alignment: 0KB
Accessible by all: FALSE
ISA Info:
ISA 1
Name: amdgcn-amd-amdhsa--gfx1100
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

Additional Information

No response

marifamd commented 5 months ago

Hi @brettkoonce do you have PyYAML installed?

Install via ubuntu package manager:

sudo apt install python3-yaml

Or you could install via python

python3 -m pip install 'PyYAML>=5.1'

Do you have any logs of the initial install, I would be curious to see if/where the pip query to install PyYAML failed.

brettkoonce commented 5 months ago

My install included the first package: Reading package lists... Done Building dependency tree... Done Reading state information... Done python3-yaml is already the newest version (5.4.1-1ubuntu1). 0 upgraded, 0 newly installed, 0 to remove and 34 not upgraded.

but the second command, eg python3 -m pip install 'PyYAML>=5.1' got things working, thanks!

Here is the installer I used:

https://rocm.docs.amd.com/projects/install-on-linux/en/latest/tutorial/quick-start.html

dmitrii-galantsev commented 5 months ago

@brettkoonce

as a follow up.. does it simply work if you run as sudo? I'm expecting that it's different python environments. And the user one doesn't pick up python3-yaml.

Honestly this has been a headache for us.

brettkoonce commented 5 months ago

@dmitrii-galantsev see https://github.com/google/jax/issues/20955 for a better description of how I am getting here!

dmitrii-galantsev commented 4 months ago

@brettkoonce hey sorry for double ping, reposting what i posted under jax:

Hm! It's likely you have to install it manually because managing python packages is very tricky...

cd /opt/rocm/share/amd_smi
python3 -m pip install .

Reopening because we need to add this in the readme or something.