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https://github.com/NVIDIA/Model-Optimizer.git
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Frida Hou
18d9b1eea4
## What does this PR do?
**Type of change:** ? <!-- Use one of the following: Bug fix, new
feature, new example, new tests, documentation. -->
new feature
**Overview:** ?
Support static block-wise MSE for NVFP4 weight quantization.
Add a FP4 triton kernel that take in scales for each block. It also
quantizes the scales to FP8.
This PR does the following:
1. Enable static NVFP4 implementation, i.e. block scales for weights are
calculated during calibration and feed into fake quant kernels
2.Extend mse_calibrate to support static NVFP4 with block scales
searching by MSE and global scale set as MAX
3.Refinements: calibrate weight quantizers only once during MSE
calibration
## Usage
<!-- You can potentially add a usage example below. -->
Example config:
```python
NVFP4_WEIGHT_MSE_CFG = {
"quant_cfg": {
"*weight_quantizer": {
"num_bits": (2, 1),
"block_sizes": {-1: 16, "type": "static", "scale_bits": (4, 3)},
"axis": None,
"enable": True,
},
"*input_quantizer": {
"enable": False,
},
**_default_disabled_quantizer_cfg,
},
"algorithm": {
"method": "mse",
"step_size": 0.25,
"start_multiplier": 0.25,
"stop_multiplier": 2.0,
},
}
NVFP4_WEIGHT_ACT_MSE_CFG = {
"quant_cfg": {
"*weight_quantizer": {
"num_bits": (2, 1),
"block_sizes": {-1: 16, "type": "static", "scale_bits": (4, 3)},
"axis": None,
"enable": True,
},
"*input_quantizer": {
"num_bits": (2, 1),
"block_sizes": {-1: 16, "type": "dynamic", "scale_bits": (4, 3)},
"axis": None,
"enable": True,
},
**_default_disabled_quantizer_cfg,
},
"algorithm": {
"method": "mse",
"step_size": 0.25,
"start_multiplier": 0.25,
"stop_multiplier": 2.0,
},
}
```
## Testing
<!-- Mention how have you tested your change if applicable. -->
## Before your PR is "*Ready for review*"
<!-- If you haven't finished some of the above items you can still open
`Draft` PR. -->
- **Make sure you read and follow [Contributor
guidelines](https://github.com/NVIDIA/TensorRT-Model-Optimizer/blob/main/CONTRIBUTING.md)**
and your commits are signed.
- **Is this change backward compatible?**: Yes/No <!--- If No, explain
why. -->
- **Did you write any new necessary tests?**: Yes/No
- **Did you add or update any necessary documentation?**: Yes/No
- **Did you update
[Changelog](https://github.com/NVIDIA/TensorRT-Model-Optimizer/blob/main/CHANGELOG.rst)?**:
Yes/No <!--- Only for new features, API changes, critical bug fixes or
bw breaking changes. -->
## Additional Information
<!-- E.g. related issue. -->
---------
Signed-off-by: Fridah-nv <201670829+Fridah-nv@users.noreply.github.com>