Aciddelgado/continuous #867
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Results are validated with model-generate.py by using a int4 quantized model as the original model's assistant. The output sequence is the same and increased tps is observed. NOTE: Only MHA decoder only models, batch size 1, CPU, greedy select top is supported in this initial version. GQA needs microsoft/onnxruntime#21523 to support seqlen > 1 in token phase. * Updated builder.py to produce MHA graph that supports seqlen > 1 in token phase. * Introduce speculative decoding currently through a separate Generator class. This can be merged with existing Generator potentially on either API level or implementation level. * Extended various components for functionalities to support speculative search. Previously most methods are hardcoded assuming seqlen == 1 for token phase.
…ts pass, i'm so tired
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