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Performance issue. how to reduce the data conversion overhead between python and matlab?

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评估

难度
5/5
预计耗时
一周以上
新手友好度
20/100
Issue 类型
功能
描述清晰度
需要澄清
活跃度
停滞
技术栈
matlab, python
领域
api, performance

调研方向

The issue names no files, tests, or entry points. Start by profiling the frequent calls between the MATLAB environment and Python deep neural network agent in R2024a, focusing on data conversion overhead. Done would require a reproducible scope and either a documented limitation or an accepted implementation plan.

由索引模型根据 Issue 内容生成。

描述

You know since 2021a the comm. performance between python and matlab is significantly improved.
but not yet satisfied.
Still, there is the payback of data changing in function call from python. For the frequent call between python and matlab, especially Reinforcement Learning problem from Maltab Environment to Python Deep Neural Network Agent, it is a critical performance issue. Is there any chance to increase the data change performance ? or is it the limit? any plan to increase the comm. performance? in next version matlab ? tell me more. any chance to improve the performance in current use ? (Im using r2024a)

主要语言
Python
星标
97
派生
13
PR 合并指标
30 天内没有已合并 PR

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