python - How to use np.vectorize? - Stack Overflow
Feb 13, 2021 · Isn't the answer to How to use np.vectorize? usually "Don't. It just pretends to be a vectorized function but is just a loop with a different name"?
Using Numpy Vectorize on Functions that Return Vectors
The purpose of np.vectorize is to transform functions which are not numpy-aware (e.g. take floats as input and return floats as output) into functions that can operate on (and return) numpy arrays.
simd - What is "vectorization"? - Stack Overflow
Sep 14, 2009 · Many CPUs have "vector" or "SIMD" instruction sets which apply the same operation simultaneously to two, four, or more pieces of data. Modern x86 chips have the SSE instructions, …
Is `-ftree-loop-vectorize` not enabled by `-O2` in GCC v12?
Dec 23, 2022 · SIMD, Vectorize. is enabled by -o2, loop unrolling makes the code much larger so it is a separate flag in -o2 and included in -o3. many times -o2 will out-perform -o3.
python - Performance of Pandas apply vs np.vectorize to create new ...
Oct 6, 2018 · I am using Pandas dataframes and want to create a new column as a function of existing columns. I have not seen a good discussion of the speed difference between df.apply() and …
How to vectorize with gcc? - Stack Overflow
Apr 4, 2020 · The v4 series of the gcc compiler can automatically vectorize loops using the SIMD processor on some modern CPUs, such as the AMD Athlon or Intel Pentium/Core chips. How is this …
0-dimensional array problems with `numpy.vectorize`
Feb 18, 2025 · 2 numpy.vectorize conveniently converts a scalar function to vectorized functions that can be applied directly to arrays. However, when inputting a single value into the vectorized function, …
c++ - tree vectorization: gcc optimization flag - Stack Overflow
Mar 10, 2016 · I have noticed that the gcc flag -ftree-vectorize is very useful for optimizing code. I am trying to understand better how it works, but the doc is fairly concise: Perform vectorization on trees...
How to use Python to perform vector search or hybrid search on Azure …
Feb 27, 2024 · As title My setup is as follows: I select "Import and vectorize data" on the Azure AI Search Portal and I get an index with vector values. I am used to using python for Azure AI Search.
Most efficient way to map function over numpy array
Feb 5, 2016 · What is the most efficient way to map a function over a numpy array? I am currently doing: import numpy as np x = np.array ( [1, 2, 3, 4, 5]) # Obtain array of square ...