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Fix the link to "Optimize ONNX models".
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Thanks @dbabokin! |
yaoyaoding
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May 12, 2025
This PR addes one float8 data type variant `float8_e4m3` and the conversion between `float32` and `float8_e4m3`. The definition of this type can be found in the paper: [FP8 Formats for Deep Learning](https://arxiv.org/pdf/2209.05433) See also - the RFC of pytorch to support float8: https://github.com/pytorch/rfcs/blob/master/RFC-0030-native-fp8-dtype.md - ONNX's float8 support: https://onnx.ai/onnx/technical/float8.html#cast - Graphcore's paper: https://arxiv.org/pdf/2206.02915 (cherry picked from commit 93ffe1d31ba426cb6ffe86e4c1275c4032a5209d)
tatianashp
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May 21, 2025
This PR adds one float8 data type variant `float8_e4m3` and the conversion between `float32` and `float8_e4m3`. The definition of this type can be found in the paper: [FP8 Formats for Deep Learning](https://arxiv.org/pdf/2209.05433) See also - the RFC of pytorch to support float8: https://github.com/pytorch/rfcs/blob/master/RFC-0030-native-fp8-dtype.md - ONNX's float8 support: https://onnx.ai/onnx/technical/float8.html#cast - Graphcore's paper: https://arxiv.org/pdf/2206.02915 (cherry picked from commit 93ffe1d31ba426cb6ffe86e4c1275c4032a5209d)
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Fix the link to "Optimize ONNX models".