Update PyTorch to 2.7.1+cpu, Torchvision to 0.22.1+cpu, and Python Requirement to >=3.9 #524
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Signed-off-by: Abukhoyer Shaik <[email protected]>
abukhoy
requested review from
quic-rishinr,
ochougul,
quic-hemagnih and
quic-amitraj
as code owners
|
Lets run CI and all the models manually which are not currently covered under CI. Once all are passing then we can go ahead and merge it. |
Signed-off-by: Abukhoyer Shaik <[email protected]>
abukhoy
changed the title
Signed-off-by: Abukhoyer Shaik <[email protected]>
abukhoy
changed the title
quic-mamta
reviewed
Aug 25, 2025
| @@ -24,7 +24,7 @@ pipeline { | |||
| pip install .[test] && | |||
| pip install junitparser pytest-xdist && | |||
| pip install librosa==0.10.2 soundfile==0.13.1 && #packages needed to load example for whisper testing | |||
| pip install --extra-index-url https://download.pytorch.org/whl/cpu timm==1.0.14 torchvision==0.19.1+cpu einops==0.8.1 && #packages to load VLMs | |||
| pip install --extra-index-url https://download.pytorch.org/whl/cpu timm==1.0.14 torchvision==0.22.1+cpu einops==0.8.1 && #packages to load VLMs | |||
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Please update readme file of internvl and other VLMs as well with updated versions of these packages.
|
Where are we on this PR?, Have we executed all the CI test cases and models which are not covered in CI? |
Few Vision-Language Models are remaining to test such as Llama4 and Gemma3, these are getting tested as these are big models getting machine issue sometimes. Although these are present in CI with single or double layer, but I am testing full models locally. |
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This PR updates the following dependencies to their latest CPU-only versions:
Additionally, it updates the Python version requirement to:
Reference: https://pytorch.org/get-started/previous-versions/
Testing
Multimodal Example Scripts have been tested successfully, such as Llama4, gemma3, whisper, granite vision, intern, mLlama.
The following Causal models have been tested and verified to work correctly with the updated dependencies:
DeepSeek-R1-Distill-Qwen-32B
EleutherAI/gpt-j-6b
OpenGVLab/InternVL2_5-1B
bigcode/starcoder
bigcode/starcoder2-15b
codellama/CodeLlama-13b-hf
codellama/CodeLlama-34b-hf
codellama/CodeLlama-7b-hf
google/codegemma-2b
google/codegemma-7b
google/gemma-2-27b
google/gemma-2-2b
google/gemma-2-9b
google/gemma-2b
google/gemma-7b
ibm-granite/granite-20b-code-base-8k
ibm-granite/granite-20b-code-instruct-8k
ibm-granite/granite-3.1-8b-instruct
ibm-granite/granite-guardian-3.1-8b
inceptionai/jais-adapted-13b-chat
inceptionai/jais-adapted-7b
lmsys/vicuna-13b-delta-v0
lmsys/vicuna-13b-v1.3
lmsys/vicuna-13b-v1.5
meta-llama/Llama-2-13b-chat-hf
meta-llama/Llama-2-7b-chat-hf
meta-llama/Llama-3.1-8B
meta-llama/Llama-3.2-1B
meta-llama/Llama-3.2-3B
meta-llama/Meta-Llama-3-8B
microsoft/Phi-3-mini-4k-instruct
mistralai/Codestral-22B-v0.1
mistralai/Mistral-7B-Instruct-v0.1
mistralai/Mixtral-8x7B-Instruct-v0.1
mistralai/Mixtral-8x7B-v0.1
mosaicml/mpt-7b
openai-community/gpt2
tiiuae/falcon-40b
Qwen/Qwen2-1.5B-Instruct