Passing a shape to numpy.reshape in a numba njit environment fails, how can I create a suitable iterable for the target shape? Question: I have a function that takes in an array, performs an arbitrary calculation and returns a new shape in which it can be broadcasted. I would like to use this function in …
Numba "LoweringError" for complex numbers in numpy array Question: I have to make a calculation using complex arrays, however when using numba to speed up the process I get an error numba.core.errors.LoweringError: Failed in nopython mode pipeline (step: nopython mode backend). Here it is a simplified version of my code: import numpy as np from …
Further optimizing the ISING model Question: I’ve implemented the 2D ISING model in Python, using NumPy and Numba’s JIT: from timeit import default_timer as timer import matplotlib.pyplot as plt import numba as nb import numpy as np # TODO for Dict optimization. # from numba import types # from numba.typed import Dict @nb.njit(nogil=True) def initialstate(N): …
Numba: No implementation of function Function(<built-in function setitem>) found for signature: Question: I was able to use Numba to solve a slow itertuples iteration issue with code provided in the answer of this question however when I try it on a new function with a similar loop format i run into this error No implementation …
Can we really do parallel computing using numba python library in python? Question: I am new to CUDA and was going through Running Python script on GPU. Performance with GPU is better than that without GPU (without GPU: 3.525673059999974, with GPU: 0.07701390800002628) for the following code executed in a colab notebook: from numba import jit, …
Julia running an order of magnitude slower than python Question: I was trying to port a python code into Julia to try it out (both codes are given below). Julia is running about 10 times slower on my machine than python. What am I doing wrong? I am pretty new to Julia, so appreciate any …
The most efficient way rather than using np.setdiff1d and np.in1d, to remove common values of 1D arrays with unique values Question: I need a much faster code to remove values of an 1D array (array length ~ 10-15) that are common with another 1D array (array length ~ 1e5-5e5 –> rarely up to 7e5), which …
Problem writing signature for multiple inputs and outputs, where an argument can have two probable numba types Question: I want to njit a function with numba, where pnt_group_ids_ can be in two types, np.int64 or np.int64[::1]. : import numpy as np import numba as nb sorted_fb_i = np.array([1, 3, 4, 2, 5], np.int64) fb_groups_ids = …
Numba – TypingError with numpy symbol arrays (njit) Question: I tried to execute this code, but when I call it for the first time to compile numba is angry on a line gen_code = np.array([]) : char_array = np.array([‘a’,’b’,’c’,’d’,’e’,’f’,’g’,’h’,’i’,’j’,’k’,’l’,’m’,’n’,’o’,’p’,’q’,’r’, ‘s’,’t’,’u’,’v’,’w’,’x’,’y’,’z’,’A’,’B’,’C’,’D’,’E’,’F’,’G’,’H’,’I’,’J’, ‘K’,’L’,’M’,’N’,’O’,’P’,’Q’,’R’,’S’,’T’,’U’,’V’,’W’,’X’,’Y’,’Z’,’0′,’1′, ‘2’,’3′,’4′,’5′,’6′,’7′,’8′,’9′]) # creating a random 40-lenghted code from characters in char_array and returning as …
Much different result when using numba Question: I have here pure python code, except just making a NumPy array. My problem here is that the result I get is completely wrong when I use @jit, but when I remove it its good. Could anyone give me any tips on why this is? @jit def grayFun(image: …
