[Docathon][Add API Legend No.2] #6941
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感谢你贡献飞桨文档，文档预览构建中，Docs-New 跑完后即可预览，预览链接：http://preview-pr-6941.paddle-docs-preview.paddlepaddle.org.cn/documentation/docs/zh/api/index_cn.html |
Liyulingyue
commented
Nov 11, 2024
Liyulingyue
commented
Nov 11, 2024
| @@ -13,6 +13,12 @@ broadcast_tensors | |||
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| .. _Tensor 介绍: ../../guides/beginner/tensor_cn.html#id7 | |||
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| 下图展示将三个 Tensor 广播到同一维度的过程。三个 Tensor 的尺寸分别为 [4, 1, 3]、[2, 3]、[4, 2, 1]，在广播时，会从最后一个维度开始对齐，对于每一个维度，任意两个 Tensor 的在该维度大小相等；或者其中一个 Tensor 的维度等于 1；或者其中一个 Tensor 的维度不存在。在下图中，最后一个维度中，Tenser3 取值为 1，Tensor1 和 Tensor2 取值为 3，所有 Tensor 的该维度被扩张为3；倒数第二个维度中，Tenser1 取值为 2，Tensor2 和 Tensor3 取值为 2，所有 Tensor 的该维度被扩张为2；倒数第三个维度中，Tenser2 为空，Tensor1 和 Tensor3 取值为 4，所有 Tensor 的该维度被扩张为4。最终，所有 Tensor 都被扩张到 [4, 2, 3]。 | |||
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文字可以稍微精简一下，可以直接说原shape是多少，广播后都成了多少，具某一维度的例子，具体细节参考 Tensor 的广播机制
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其实，这段文字主要想表述，他们从后往前对齐，所以再删可能表达不清楚了。
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张师傅怎么回事，tensor的图例是不是画错了？ 广播后应该不会新增数据呀
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