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"?
c++ - What does vectorization mean? - Stack Overflow
Oct 4, 2009 · Is it a good idea to vectorize the code? What are good practices in terms of when to do it? What happens underneath?
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, …
How to vectorize with gcc? - Stack Overflow
Jan 3, 2009 · 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 …
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.
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, …
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 …
No deployments available with an embedding model
Jul 19, 2024 · Import and vectorize data in Azure only supports text-embedding-3-small if you create that model in Azure Open AI. If you are creating the embedding model in Azure Foundry (studio) you …
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...