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Support for Phi-3 MLP layer #84
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…hByrneIntel/intel-npu-acceleration-library into sarah/feature/phi3MLP_layer
…hByrneIntel/intel-npu-acceleration-library into sarah/feature/phi3MLP_layer
SarahByrneIntel
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SarahByrneIntel
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| if isinstance(model, Phi3MLP): | ||
| # Apply optimizations to a single MLP block model | ||
| model = model | ||
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| if dtype in (int8, int4): | ||
| # Quantize model | ||
| model = quantize_model(model, dtype) | ||
| weights_quantization(model) |
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Why there is a specific branch about Phi3MLP?
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If only a single mlp block is passed in to be compiled, we don't want to pass it to the recursive function as it will break it down into the layers. When the block is contained within a larger model, then it is the model that is broken down and we can prevent the blocks being broken down through the NPUModuleWrapper check. However, this won't happen if it is only a single block
alessandropalla
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Jul 19, 2024
added 2 commits
July 19, 2024 11:07
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Adding support for Phi-3 MLP layer
Update compile functionality for model blocks
Add Phi-3 MLP optimization
Add testing for Phi-3 MLP
Add type operation for tensor dtype conversion
Implement new forward function for quantized models
Add toggling for model profiling
Add compiler configuration feature
Update tests and examples for compiler config
Update doc on usage