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[shardformer] update colo attention to support custom mask (#5510)

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* [feature] refactor colo attention (#5462)

* [extension] update api

* [feature] add colo attention

* [feature] update sdpa

* [feature] update npu attention

* [feature] update flash-attn

* [test] add flash attn test

* [test] update flash attn test

* [shardformer] update modeling to fit colo attention (#5465)

* [misc] refactor folder structure

* [shardformer] update llama flash-attn

* [shardformer] fix llama policy

* [devops] update tensornvme install

* [test] update llama test

* [shardformer] update colo attn kernel dispatch

* [shardformer] update blip2

* [shardformer] update chatglm

* [shardformer] update gpt2

* [shardformer] update gptj

* [shardformer] update opt

* [shardformer] update vit

* [shardformer] update colo attention mask prep

* [shardformer] update whisper

* [test] fix shardformer tests (#5514)

* [test] fix shardformer tests

* [test] fix shardformer tests
This commit is contained in:
Hongxin Liu
2024-03-27 11:19:32 +08:00
committed by GitHub
parent 9a3321e9f4
commit 19e1a5cf16
45 changed files with 2543 additions and 1170 deletions
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4
extensions/cuda_extension.py
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@@ -22,7 +22,7 @@ class _CudaExtension(_CppExtension):
This function should return a list of nvcc compilation flags for extensions.
"""
def is_hardware_available(self) -> bool:
def is_available(self) -> bool:
# cuda extension can only be built if cuda is available
try:
import torch
@@ -32,7 +32,7 @@ class _CudaExtension(_CppExtension):
cuda_available = False
return cuda_available
def assert_hardware_compatible(self) -> None:
def assert_compatible(self) -> None:
from torch.utils.cpp_extension import CUDA_HOME
if not CUDA_HOME: