mirror of
https://github.com/NVIDIA/TensorRT-LLM.git
synced 2026-01-14 06:27:45 +08:00
2db22fb4e5
By default, we allocate equal proportion shares of memory for all window sizes (see the else case). With TRTLLM_WINDOW_SIZE_SHARES, we can override this behavior to adjust the memory share of each window size. For example, if we have window size of [512, 32768], then setting TRTLLM_WINDOW_SIZE_SHARES=0.4,0.6 will be allocating 40% of the memory to window size 512 and 60% of the memory to window size 32768. Signed-off-by: eopXD <yuehtingc@nvidia.com> |
||
|---|---|---|
| .. | ||
| batch_manager | ||
| common | ||
| cutlass_extensions/include/cutlass_extensions | ||
| deep_ep | ||
| deep_gemm | ||
| executor | ||
| executor_worker | ||
| kernels | ||
| layers | ||
| nanobind | ||
| plugins | ||
| pybind | ||
| runtime | ||
| testing | ||
| thop | ||
| CMakeLists.txt | ||