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Use naive decompress for SM<8.0 #32
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LucasWilkinson
approved these changes
Feb 20, 2024
robertgshaw2-neuralmagic
pushed a commit
that referenced
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Feb 21, 2024
A warning will be printed out if this case is triggered:
```
WARNING 02-20 22:21:27 sparse_w16a16.py:32] Unstructured sparse kernels are not optimized for NVIDIA SM < 8.0. Naive decompress kernels will be used and can be slower than dense models
```
Works on a T4 with:
```python
from vllm import LLM, SamplingParams
model = LLM(
"nm-testing/opt-125m-pruned2.4",
sparsity="sparse_w16a16",
enforce_eager=True,
dtype="float16",
)
sampling_params = SamplingParams(max_tokens=100, temperature=0)
outputs = model.generate("Hello my name is", sampling_params=sampling_params)
outputs[0].outputs[0].text
```
Test within colab:
https://colab.research.google.com/drive/15xRvWX5gNaTb00BcaXhxwMm6yxavIKGN?usp=sharing
tlrmchlsmth
pushed a commit
that referenced
this pull request
Feb 21, 2024
A warning will be printed out if this case is triggered:
```
WARNING 02-20 22:21:27 sparse_w16a16.py:32] Unstructured sparse kernels are not optimized for NVIDIA SM < 8.0. Naive decompress kernels will be used and can be slower than dense models
```
Works on a T4 with:
```python
from vllm import LLM, SamplingParams
model = LLM(
"nm-testing/opt-125m-pruned2.4",
sparsity="sparse_w16a16",
enforce_eager=True,
dtype="float16",
)
sampling_params = SamplingParams(max_tokens=100, temperature=0)
outputs = model.generate("Hello my name is", sampling_params=sampling_params)
outputs[0].outputs[0].text
```
Test within colab:
https://colab.research.google.com/drive/15xRvWX5gNaTb00BcaXhxwMm6yxavIKGN?usp=sharing
robertgshaw2-neuralmagic
pushed a commit
that referenced
this pull request
Feb 21, 2024
A warning will be printed out if this case is triggered:
```
WARNING 02-20 22:21:27 sparse_w16a16.py:32] Unstructured sparse kernels are not optimized for NVIDIA SM < 8.0. Naive decompress kernels will be used and can be slower than dense models
```
Works on a T4 with:
```python
from vllm import LLM, SamplingParams
model = LLM(
"nm-testing/opt-125m-pruned2.4",
sparsity="sparse_w16a16",
enforce_eager=True,
dtype="float16",
)
sampling_params = SamplingParams(max_tokens=100, temperature=0)
outputs = model.generate("Hello my name is", sampling_params=sampling_params)
outputs[0].outputs[0].text
```
Test within colab:
https://colab.research.google.com/drive/15xRvWX5gNaTb00BcaXhxwMm6yxavIKGN?usp=sharing
robertgshaw2-neuralmagic
pushed a commit
that referenced
this pull request
Feb 22, 2024
A warning will be printed out if this case is triggered:
```
WARNING 02-20 22:21:27 sparse_w16a16.py:32] Unstructured sparse kernels are not optimized for NVIDIA SM < 8.0. Naive decompress kernels will be used and can be slower than dense models
```
Works on a T4 with:
```python
from vllm import LLM, SamplingParams
model = LLM(
"nm-testing/opt-125m-pruned2.4",
sparsity="sparse_w16a16",
enforce_eager=True,
dtype="float16",
)
sampling_params = SamplingParams(max_tokens=100, temperature=0)
outputs = model.generate("Hello my name is", sampling_params=sampling_params)
outputs[0].outputs[0].text
```
Test within colab:
https://colab.research.google.com/drive/15xRvWX5gNaTb00BcaXhxwMm6yxavIKGN?usp=sharing
robertgshaw2-neuralmagic
pushed a commit
that referenced
this pull request
Feb 22, 2024
A warning will be printed out if this case is triggered:
```
WARNING 02-20 22:21:27 sparse_w16a16.py:32] Unstructured sparse kernels are not optimized for NVIDIA SM < 8.0. Naive decompress kernels will be used and can be slower than dense models
```
Works on a T4 with:
```python
from vllm import LLM, SamplingParams
model = LLM(
"nm-testing/opt-125m-pruned2.4",
sparsity="sparse_w16a16",
enforce_eager=True,
dtype="float16",
)
sampling_params = SamplingParams(max_tokens=100, temperature=0)
outputs = model.generate("Hello my name is", sampling_params=sampling_params)
outputs[0].outputs[0].text
```
Test within colab:
https://colab.research.google.com/drive/15xRvWX5gNaTb00BcaXhxwMm6yxavIKGN?usp=sharing
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A warning will be printed out if this case is triggered:
Works on a T4 with:
Test within colab: https://colab.research.google.com/drive/15xRvWX5gNaTb00BcaXhxwMm6yxavIKGN?usp=sharing