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intel-analytics / ipex-llm

Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, Baichuan, Mixtral, Gemma, Phi, MiniCPM, etc.) on Intel CPU and GPU (e.g., local PC with iGPU, discrete GPU such as Arc, Flex and Max); seamlessly integrate with llama.cpp, Ollama, HuggingFace, LangChain, LlamaIndex, GraphRAG, DeepSpeed, vLLM, FastChat, Axolotl, etc.
Apache License 2.0
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Feature Request: Add Mish activation function #2968

Open digantamisra98 opened 4 years ago

digantamisra98 commented 4 years ago

Mish is a new novel activation function proposed in this paper. It has shown promising results so far and has been adopted in several packages including:

All benchmarks, analysis and links to official package implementations can be found in this repository

It would be nice to have Mish as an option within the activation function group.

This is the comparison of Mish with other conventional activation functions in a SEResNet-50 for CIFAR-10: (Better accuracy and faster than GELU) se50_1

Menooker commented 4 years ago

Thanks for the feature request. We will look into the activation function and consider adding it to our framework.

digantamisra98 commented 3 years ago

@Menooker are you still open to including Mish in the framework? It was recently added to PyTorch - https://github.com/pytorch/pytorch/pull/58940

jason-dai commented 3 years ago

@digantamisra98 I wonder if you are working on specific use cases for this on BigDL? FYI - we have already supported running distributed PyTorch on Spark in Analytics Zoo (e.g., see https://analytics-zoo.readthedocs.io/en/latest/doc/Orca/QuickStart/orca-pytorch-quickstart.html)