Tensor shape inference

描述

此议题没有描述。

贡献者指南

技术栈

javascript

领域

machine learningfrontend

议题类型

feature

难度面向新贡献者的预计实现难度，1 表示很小改动，5 表示专家级工作。

4

预计时间有经验贡献者完成调查、实现、测试并准备 pull request 的粗略时间范围。

over 1 week

活动状态议题当前的可参与程度：新鲜、活跃、陈旧、阻塞或等待维护者输入。

stale

清晰度议题是否清楚说明期望改动、验收标准和下一步。

unclear

前置要求

familiarity with neural network model formatsunderstanding of tensor operations

新手友好度1-100 的估计分数，表示该议题对首次贡献者的友好程度。

20

研究方向

The issue lacks a description, so the first step is to understand what tensor shape inference means in the context of Netron. Reviewing the comments and existing codebase, particularly model parsers in src/, will clarify the requirements. The goal is to enable Netron to display tensor shapes for operators. Discussion in the comments may provide direction on which model formats to prioritize. A maintainer response is needed to clarify the expected implementation.