[OV] Optimized compression to MXFP4 data type #3550
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Co-authored-by: Lyalyushkin Nikolay <[email protected]>
This reverts commit e4d47ab.
…ering.py Co-authored-by: andreyanufr <[email protected]>
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| For NF4 quantization quantizes the weights to 16 levels on [-1, 1] interval. | ||
| TODO(nikita-savelyevv): add support for MXFP4 and MXFP8_E4M3 once ticket 164851 is resolved | ||
| For MXFP4 quantization quantizes the weights to 16 levels on [-6, 6] interval. |
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| For NF4 quantization quantizes the weights to 16 levels on [-1, 1] interval. | |
| TODO(nikita-savelyevv): add support for MXFP4 and MXFP8_E4M3 once ticket 164851 is resolved | |
| For MXFP4 quantization quantizes the weights to 16 levels on [-6, 6] interval. | |
| NF4 format uses 16 levels in [-1, 1] range, while MXFP4 uses 16 levels in [-6, 6]. |
| assert isinstance(res_nncf, Tensor) | ||
| if ( | ||
| self.backend() != TensorBackend.tf | ||
| ): # native Tensorflow operaors do not guarantee to return a tensor on an initial device. |
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| ): # native Tensorflow operaors do not guarantee to return a tensor on an initial device. | |
| ): # native Tensorflow operators do not guarantee to return a tensor on an initial device. |
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Changes
Added optimized compression to MXFP4 data type for OpenVINO backend.
Reason for changes
Improving user experience.
Related tickets
164717
Tests
Extended optimized compression tests.