[dont merge]. Diff 0.2 -> 0.3 - #2
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The current `convert_to_hf.py` does not support `export_dtype`, which makes it `float32` by default. This PR adds support for export dtypes of `["float16", "bfloat16", "float32"]`.
This PR integrates the changes in pytorch#1970 to compiler toolkit (applying `joint_ac_pass` on the joint graph graph to tag nodes based on `reshard_after_forward` flag) Also did some refactor for applying graph passes in compiler toolkit experiments. We will have two kinds of passes 1. joint_custom_passes: these are passes to be applied on the captured joint graph before partitioner. By default we `validate_flex_attn_annotation_pass` and `fsdp_reshard_after_fwd_pass` 2. compiler_passes: there are passes to be applied on partitioned fwd and bwd graphs as backend optimizations. By default there is none. We can indicate `autobucketing_reordering_pass` and `regional_inductor_pass` using configs.
This adds JSON data support.
add rope scaling args
More reuse, inspired by BitBLAS modeling code.
Inspired by DeepSeekMoE.
- Close to original implementation - Conflates light and constrained versions - Uses (old) shared Muon functionality
Based on DeepSeek-V3 technical report (https://arxiv.org/abs/2412.19437).
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