Comments (5)
amyeroberts
commented on July 4, 2024
2
cc @qubvel If you have time to dig into this
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qubvel
commented on July 4, 2024
1
Hi @DonggeunYu thanks for reporting the issue!
Unfortunately, I was not able to reproduce it with my envs. I tried:
- latest torch (2.3.0+cu121) + latest transformers (4.41.2)
- specified torch (2.1.0+cu121) + latest transformers (4.41.2)
- latest torch (2.3.0+cu121) + specified transformers (4.39.0)
- specified torch (2.1.0+cu121) + specified transformers (4.39.0)
My setup is 4 GPUs Tesla T4, I tried to launch on each of them, results were always identical
tensor([[[0.2500, 0.2500, 0.2500, ..., 0.2500, 0.2500, 0.2500],
[0.2500, 0.2500, 0.2500, ..., 0.2500, 0.2500, 0.2500],
[0.2500, 0.2500, 0.2500, ..., 0.2500, 0.2500, 0.2500],
...,
[0.2500, 0.2500, 0.2500, ..., 0.2500, 0.2500, 0.2500],
[0.2500, 0.2500, 0.2500, ..., 0.2500, 0.2500, 0.2500],
[0.2500, 0.2500, 0.2500, ..., 0.2500, 0.2500, 0.2500]]],
device='cuda:0')
Env:
- `transformers` version: 4.39.0
- Platform: Linux-6.5.0-1020-aws-x86_64-with-glibc2.35
- Python version: 3.10.12
- Huggingface_hub version: 0.23.4
- Safetensors version: 0.4.3
- Accelerate version: not installed
- Accelerate config: not found
- PyTorch version (GPU?): 2.1.0+cu121 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not installed
- JaxLib version: not installed
- Using GPU in script?: <fill in>
- Using distributed or parallel set-up in script?: <fill in>
Do you have any ideas why that might happen in your env?
from transformers.
DonggeunYu
commented on July 4, 2024
Hi @DonggeunYu thanks for reporting the issue! Unfortunately, I was not able to reproduce it with my envs. I tried:
- latest torch (2.3.0+cu121) + latest transformers (4.41.2)
- specified torch (2.1.0+cu121) + latest transformers (4.41.2)
- latest torch (2.3.0+cu121) + specified transformers (4.39.0)
- specified torch (2.1.0+cu121) + specified transformers (4.39.0)
My setup is 4 GPUs Tesla T4, I tried to launch on each of them, results were always identical
tensor([[[0.2500, 0.2500, 0.2500, ..., 0.2500, 0.2500, 0.2500], [0.2500, 0.2500, 0.2500, ..., 0.2500, 0.2500, 0.2500], [0.2500, 0.2500, 0.2500, ..., 0.2500, 0.2500, 0.2500], ..., [0.2500, 0.2500, 0.2500, ..., 0.2500, 0.2500, 0.2500], [0.2500, 0.2500, 0.2500, ..., 0.2500, 0.2500, 0.2500], [0.2500, 0.2500, 0.2500, ..., 0.2500, 0.2500, 0.2500]]], device='cuda:0')Env:
- `transformers` version: 4.39.0 - Platform: Linux-6.5.0-1020-aws-x86_64-with-glibc2.35 - Python version: 3.10.12 - Huggingface_hub version: 0.23.4 - Safetensors version: 0.4.3 - Accelerate version: not installed - Accelerate config: not found - PyTorch version (GPU?): 2.1.0+cu121 (True) - Tensorflow version (GPU?): not installed (NA) - Flax version (CPU?/GPU?/TPU?): not installed (NA) - Jax version: not installed - JaxLib version: not installed - Using GPU in script?: <fill in> - Using distributed or parallel set-up in script?: <fill in>Do you have any ideas why that might happen in your env?
I don't know the cause.
I will also test it in various environments.
from transformers.
DonggeunYu
commented on July 4, 2024
Hi @DonggeunYu thanks for reporting the issue! Unfortunately, I was not able to reproduce it with my envs. I tried:
- latest torch (2.3.0+cu121) + latest transformers (4.41.2)
- specified torch (2.1.0+cu121) + latest transformers (4.41.2)
- latest torch (2.3.0+cu121) + specified transformers (4.39.0)
- specified torch (2.1.0+cu121) + specified transformers (4.39.0)
My setup is 4 GPUs Tesla T4, I tried to launch on each of them, results were always identical
tensor([[[0.2500, 0.2500, 0.2500, ..., 0.2500, 0.2500, 0.2500], [0.2500, 0.2500, 0.2500, ..., 0.2500, 0.2500, 0.2500], [0.2500, 0.2500, 0.2500, ..., 0.2500, 0.2500, 0.2500], ..., [0.2500, 0.2500, 0.2500, ..., 0.2500, 0.2500, 0.2500], [0.2500, 0.2500, 0.2500, ..., 0.2500, 0.2500, 0.2500], [0.2500, 0.2500, 0.2500, ..., 0.2500, 0.2500, 0.2500]]], device='cuda:0')Env:
- `transformers` version: 4.39.0 - Platform: Linux-6.5.0-1020-aws-x86_64-with-glibc2.35 - Python version: 3.10.12 - Huggingface_hub version: 0.23.4 - Safetensors version: 0.4.3 - Accelerate version: not installed - Accelerate config: not found - PyTorch version (GPU?): 2.1.0+cu121 (True) - Tensorflow version (GPU?): not installed (NA) - Flax version (CPU?/GPU?/TPU?): not installed (NA) - Jax version: not installed - JaxLib version: not installed - Using GPU in script?: <fill in> - Using distributed or parallel set-up in script?: <fill in>Do you have any ideas why that might happen in your env?
@qubvel
If the container image you used is public, can you share it?
from transformers.
qubvel
commented on July 4, 2024
@DonggeunYu I was using an Amazon EC2 instance g4dn.12xlarge with Ubuntu 22.04
from transformers.
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