kunal-vaishnavi 72a3bde330 Add GQA on CPU in LLaMA scripts (#20720) ... ### Description This PR adds support for adding GroupQueryAttention (GQA) in models that are running on CPU. ### Motivation and Context Previously, the LLaMA scripts supported creating models that have GQA for CUDA only. With the recently added support for [GQA on CPU](https://github.com/microsoft/onnxruntime/pull/20299), models where `num_attention_heads != num_key_value_heads` can now use the GQA op and [run much faster on CPU](https://github.com/microsoft/onnxruntime/pull/20598).		2024-05-17 23:23:57 -07:00
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contrib_ops	[CUDA] Fix SparseAttention Kernel (#20716)	2024-05-17 22:42:19 -07:00
core	[js/web] Refine conv attributes (#20684)	2024-05-16 18:00:57 -07:00
python	Add GQA on CPU in LLaMA scripts (#20720)	2024-05-17 23:23:57 -07:00
test	MatMulNBits + Add fusion (#20587)	2024-05-16 11:00:59 -07:00
tool/etw
wasm	[js/web] rewrite backend resolve to allow multiple EPs (#19735)	2024-03-15 11:47:45 -07:00
__init__.py	Bump up version in main from 1.18.0 to 1.19.0 (#20489)	2024-04-29 20:21:41 -07:00
ReformatSource.ps1
ReformatSourcePython.bat
VSCodeCoverage.runsettings