Comments (1)
For reference the following CI command on main will compile in 142minutes on a 32 core Zen3 4GHZ server container.
# time FLASHINFER_BUILD_VERSION="999.0.4+cu124torch2.3_gpPadded8_v4_arch8x" FLASHINFER_GROUP_SIZES="1,4,5,6,7,8" TORCH_CUDA_ARCH_LIST="8.0 8.9" python -m build --no-isolation
real 141m49.680s
user 2389m59.725s
sys 200m31.997s
Without flashinfer_jit
the only way to speed up flashinfer whl compilation to reasonable timeframe is to lock group_size to only 1 value needed by the intended model as that will cut down compilation steps/time by ~8x in my tests.
Changing TORCH_CUDA_ARCH_LIST doesn't have much impact on speed.
from flashinfer.
Related Issues (20)
- How was the data in the blog measured? HOT 5
- QUESTION: C++ API support Ragged Tensor now? HOT 1
- Does flashinfer support float datatype?
- Compare Append Kernel's Results with Xformers HOT 2
- Shared-prefix rope issue HOT 1
- [Install] Build error on main branch
- [LoRA] Roadmap of LoRA operators HOT 1
- Vllm support
- TypeError: get_cu_file_str() missing 1 required positional argument: 'idtype' HOT 1
- Support torch 2.3 HOT 3
- Support MLA (Multi-Head Latency Attention) in DeepSeek-v2
- 能否支持Volta/Tesla架构?
- Compilation fails due to "-Wno-switch-bool" nvcc flag
- multiple definition of `cuda::__3::pipeline...
- Circular import error when importing built-from-source flashinfer HOT 1
- CUDA Error: no kernel image is available for execution on the device (209) /tmp/build-via-sdist-nl8se4dx/flashinfer-0.0.4+cu118torch2.2/include/flashinfer/attention/decode.cuh: line 871 at function cudaFuncSetAttribute(kernel, cudaFuncAttributeMaxDynamicSharedMemorySize, smem_size) HOT 2
- Can BatchDecodeWithPaddedKVCache be used in cascade inference?
- Qwen1.5-32B failed: BatchPrefillWithPagedKVCachePyTorchWrapper failed to dispatch group_size 5
- [Feature request] Support attention logits cap with tanh HOT 3
- [Bug report] BatchPrefillWithPagedKVCachePyTorchWrapper failed to dispatch group_size 3 HOT 2
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from flashinfer.