咨询仅需处理向量第i个元素的向量操作专业术语

Hey there! The professional term for this kind of vector operation—where you generate each element of the output vector using the corresponding element of input vectors (plus scalars) independently—is element-wise operation (sometimes also called component-wise operation).

What this means for your code: #

• When you define a logic like Vout = A * Vin1 + B * Vin2 (with A/B as scalars, Vin1/Vin2/Vout as vectors), the operation calculates each Vout[i] separately using Vin1[i], Vin2[i], and the scalar values.
• Your system's ability to auto-detect scalars vs vectors and skip explicit index input ties into a related handy concept: scalar broadcasting. This is where the system implicitly "expands" scalars to match the vector's length, letting them seamlessly participate in element-wise calculations without extra work from the user.

Quick pseudocode example of how this works under the hood: #

# User's high-level logic: Vout = A * Vin1 + B * Vin2
for i from 0 to length(Vin1)-1:
    Vout[i] = A * Vin1[i] + B * Vin2[i]

This is a core concept in numerical computing tools (like NumPy or PyTorch), and it sounds like your code is doing a great job abstracting away the tedious loop and indexing work for users!

内容的提问来源于stack exchange，提问作者mike