add kunlunxin vendor op#66
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| def cast_to_fp8( |
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Where is the cast_to_fp8 op used in TransformerEngine?
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The fp8_utils.py module in Megatron-LM-FL requires the use of cast_to_fp8; specifically: from transformer_engine.pytorch.cpp_extensions import cast_to_fp8.
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Megatron-LM-FL includes a version check for Transformer Engine (TE). For TE versions >= 2.0, QuantizedTensor is used directly; for versions between 1.0 and 2.0, cast_to_fp8 is used instead. Since TE-FL currently targets TE V2.9, the cast_to_fp8 path should no longer need to be retained, right?
megatron/core/fp8_utils.py
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We haven't upgraded to the latest version of TE yet, so for the time being, we can only bind this cast_to_fp8 function; the upgrade to the newer version of TE is still in progress.
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| import transformer_engine_klx_torch |
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We don't actually recommend using transformer_engine_klx_torch directly; it's better to call the kernels or operators provided by the vendor to avoid the overhead and the complexity of version control.
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transformer_engine_klx_torch is currently an integral part of our kernel; its format was designed based on the conventions adopted by other vendors.
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“Error response from daemon: client version 1.43 is too old. |
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Description
Add some kunlunxin ops bind code
Type of change
Changes
Add kunlunxin backend bind support.
Add kunlunxin ops bind and register.
Checklist: