[question] When the concurrency is 1, test the RT of 1024 inputs and 64 outputs. tp=2 or tp=4 does not yield high time benefits.

### Checklist

- [X] 1. I have searched related issues but cannot get the expected help.
- [ ] 2. The bug has not been fixed in the latest version.
- [X] 3. Please note that if the bug-related issue you submitted lacks corresponding environment info and a minimal reproducible demo, it will be challenging for us to reproduce and resolve the issue, reducing the likelihood of receiving feedback.

### Describe the bug

Test the RT of 1024 inputs and 64 outputs
concurrency is 1：
TP2: 793.57 ms
TP4: 853.66 ms

concurrency is 2：
TP2: 1153.99 ms
TP4: 820.67 ms

### Reproduction

lmdeploy serve api_server /mnt/data/model_hub/Qwen-14B-Chat-Pro/ --backend turbomind --tp 2
lmdeploy serve api_server /mnt/data/model_hub/Qwen-14B-Chat-Pro/ --backend turbomind --tp 4

python3 -u profile_restful_len.py http://127.0.0.1:23333 /mnt/data/model_hub/Qwen-14B-Chat-Pro/ --input_len 1024 --output_len 64 --num_prompts 10 --concurrency 1
python3 -u profile_restful_len.py http://127.0.0.1:23333 /mnt/data/model_hub/Qwen-14B-Chat-Pro/ --input_len 1024 --output_len 64 --num_prompts 10 --concurrency 2

### Environment

```Shell
sys.platform: linux
Python: 3.10.13 (main, Jun 6 2024, 19:28:50) [GCC 11.4.0]
CUDA available: True
MUSA available: False
numpy_random_seed: 2147483648
GPU 0,1: PPU-ZW810
CUDA_HOME: /usr/local/PPU_SDK/CUDA_SDK
NVCC: Cuda compilation tools, release 12.2, V12.2.
GCC: gcc (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0
PyTorch: 2.2.0
PyTorch compiling details: PyTorch built with:
- GCC 11.4
- C++ Version: 201703
- Intel(R) oneAPI Math Kernel Library Version 2021.1-Product Build 20201104 for Intel(R) 64 architecture applications
- Intel(R) MKL-DNN v3.3.2 (Git Hash 2dc95a2ad0841e29db8b22fbccaf3e5da7992b01)
- OpenMP 201511 (a.k.a. OpenMP 4.5)
- LAPACK is enabled (usually provided by MKL)
- NNPACK is enabled
- CPU capability usage: AVX512
- CUDA Runtime 12.2
- Built with CUDA Runtime 12.3
- NVCC architecture flags: -gencode;arch=compute_80,code=sm_80
- CuDNN 8.9.5 (built against CUDA 0.6.4)
- Built with CuDNN 8.6
- Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=12.3, CUDNN_VERSION=8.6.0, CXX_COMPILER=/usr/lib/ccache/c++, CXX_FLAGS= -D_GLIBCXX_USE_CXX11_ABI=1 -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOROCTRACER -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Werror=range-loop-construct -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-stringop-overflow -Wsuggest-override -Wno-psabi -Wno-error=pedantic -Wno-error=old-style-cast -Wno-missing-braces -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, FORCE_FALLBACK_CUDA_MPI=1, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=2.2.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=ON, USE_NCCL=True, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, USE_ROCM_KERNEL_ASSERT=OFF,

TorchVision: 0.16.0+704f831
LMDeploy: 0.5.0+
transformers: 4.43.3
gradio: Not Found
fastapi: 0.111.0
pydantic: 2.7.4
triton: 2.2.0
```

### Error traceback

_No response_