manager=False, num_lookahead_slots=0, seed=0, swap_space=4, gpu_memory_utilization=0.9, num_gpu_blocks_override=None, max_num_batched_tokens=None, max_num_seqs=256, max_logprobs=20, disable_log_stats=False, quantization=None, rope_scaling=None, rope_theta=None, enforce_eager=True, ma...
1.将basic_demo中的openai_api_server中的 engine_args = AsyncEngineArgs( model=MODEL_PATH, tokenizer=MODEL_PATH, # 如果你有多张显卡,可以在这里设置成你的显卡数量 tensor_parallel_size=1, dtype="bfloat16", trust_remote_code=True, # 占用显存的比例,请根据你的显卡显存大小设置合适的值,例如,如果...
A is parallelized along its second dimension as A = [A_1, ..., A_p]. """ def __init__( self, input_size: int, output_size: int, ) -> None: super().__init__() self.input_size = input_size self.output_size = output_size tp_group = get_tensor_parallel_group() tp_...
v0.7.3正式支持DeepSeek-AI多令牌预测模块,实测推理速度最高提升69%。只需在启动参数添加--num-speculative-tokens=1即可开启,还能选配--draft-tensor-parallel-size=1进一步优化。更惊人的是,在ShareGPT数据集测试中,该功能实现了81%-82.3%的预测接受率。这意味着在保持精度的同时,大幅缩短了推理耗时。生成式AI开...
Scalable design to process multiple input streams in parallel,这个应该就是GPU底层的优化了。 3 安装 这里 是英伟达提供的安装指导,如果有仔细认真看官方指导,基本上按照官方的指导肯定能安装成功。 问题是肯定有很多人不愿意认真看英文指导,比如说我就是,我看那个指导都是直接找到命令行所在,直接敲命令,然后就出...
其中,数据并行(Data Parallel)是最基础、最常用的一种形式。这篇文章将深入数据并行(Data Parallel,即常说的DP)的原理,并解析数据并行在Pytorch中的实现。 二、数据并行原理 2.1 原理深入 数据并行的原理:将一整个训练数据集分解成多个部分,被分解的每一部分数据分别用于训练模型;获得多个损失结果后,再通过对结果的...
The new architecture is based on parallel processing of a set of randomly compressed, reduced-size replicas of the big tensor. Each replica is independently decomposed, and the results are joined via a master linear equation per tensor mode. The approach enables massive parallelism with guaranteed ...
PASTA: a parallel sparse tensor algorithm benchmark suiteCCF Transactions on High Performance Computing - Tensor methods have gained increasingly attention from various applications, including machine learning, quantum chemistry, healthcare analytics,......
D = tensorprod(A,B,[2 3],[1 2],NumDimensionsA=4); size(D) ans =1×43 1 6 7 Extended Capabilities GPU Arrays Accelerate code by running on a graphics processing unit (GPU) using Parallel Computing Toolbox™. Distributed Arrays ...
anisotropy (degree of anisotropy of a diffusion process) and axial diffusivity (magnitude of molecular displacement parallel to axonal tracts) have been reported for different brainstem regions [54,62], pointing to the pivotal role of microstructural brainstem damage in RBD pathophysiology [1,63]. Ad...