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Add flash attention (#241)

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* Add some flash-attn kernel, import the code for flash-attn v2 from Dao-AILab.

* More flash attn.

* Set up the flash attn parameters.

* Get things to compile locally.

* Move the flash attention files in a different directory.

* Build the static C library with nvcc.

* Add more flash attention.

* Update the build part.

* Better caching.

* Exclude flash attention from the default workspace.

* Put flash-attn behind a feature gate.

* Get the flash attn kernel to run.

* Move the flags to a more appropriate place.

* Enable flash attention in llama.

* Use flash attention in llama.
This commit is contained in:
Laurent Mazare
2023-07-26 07:48:10 +01:00
committed by GitHub
parent c97d51243c
commit d9f9c859af
22 changed files with 2699 additions and 9 deletions
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2
candle-examples/Cargo.toml
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@ -14,6 +14,7 @@ readme = "README.md"
candle = { path = "../candle-core" }
candle-nn = { path = "../candle-nn" }
candle-transformers = { path = "../candle-transformers" }
candle-flash-attn = { path = "../candle-flash-attn", optional = true }
serde = { workspace = true }
serde_json = { workspace = true }
num-traits = { workspace = true }
@ -37,4 +38,5 @@ anyhow = { workspace = true }
[features]
default = []
cuda = ["candle/cuda", "candle-nn/cuda", "candle-transformers/cuda"]
flash-attn = ["cuda", "dep:candle-flash-attn"]
mkl = ["dep:intel-mkl-src", "candle/mkl", "candle-nn/mkl", "candle-transformers/mkl"]