multidimensional-array

来源： https://stackoverflow.com/questions/50300643/storage-order-for-multidimensional-arrays-in-c

问题 Have tensor like : x.shape = [3, 2, 2] . import torch x = torch.tensor([ [[-0.3000, -0.2926],[-0.2705, -0.2632]], [[-0.1821, -0.1747],[-0.1526, -0.1453]], [[-0.0642, -0.0568],[-0.0347, -0.0274]] ]) I need to take .max() over the 2nd and 3rd dimensions. I expect some like this [-0.2632, -0.1453, -0.0274] as output. I tried to use: x.max(dim=(1,2)) , but this causes an error. 回答1: As of today, there is no way to do .min() or .max() over multiple dimensions in PyTorch. There is an open issue

问题 Have tensor like : x.shape = [3, 2, 2] . import torch x = torch.tensor([ [[-0.3000, -0.2926],[-0.2705, -0.2632]], [[-0.1821, -0.1747],[-0.1526, -0.1453]], [[-0.0642, -0.0568],[-0.0347, -0.0274]] ]) I need to take .max() over the 2nd and 3rd dimensions. I expect some like this [-0.2632, -0.1453, -0.0274] as output. I tried to use: x.max(dim=(1,2)) , but this causes an error. 回答1: As of today, there is no way to do .min() or .max() over multiple dimensions in PyTorch. There is an open issue

问题 I have following two multidimensional arrays: First array: $array_1_data = Array ( [0] => Array ( [id] => 1 [name] => IT [slug] => it ) [1] => Array ( [id] => 2 [name] => Accounting [slug] => accounting ) ) Second array: $array_2_data = Array ( [0] => Array ( [cid] => 3 [jid] => 24061 ) [1] => Array ( [cid] => 1 [jid] => 24062 ) ) Expected result: $some_array = Array ( [0] => Array ( [id] => 1 [name] => IT [slug] => it ) ) I won't mind having [cid] in the result. I want to intersect these two

问题 I messed around with this enough but I really don't get it. Here is what I want to do: Take a 2D char array as an input in a function, change the values in it and then return another 2D char array. That's it. Quite simple idea, but ideas do not get to work easily in C. Any idea to get me started in its simplest form is appreciated. Thanks. 回答1: C will not return an array from a function. You can do several things that might be close enough: You can package your array in struct and return that

问题 I messed around with this enough but I really don't get it. Here is what I want to do: Take a 2D char array as an input in a function, change the values in it and then return another 2D char array. That's it. Quite simple idea, but ideas do not get to work easily in C. Any idea to get me started in its simplest form is appreciated. Thanks. 回答1: C will not return an array from a function. You can do several things that might be close enough: You can package your array in struct and return that

问题 I am new to PHP, but I do my best. Please be patient with me. :) Yesterday I already asked a similar question, but today I have to extend it. Initial Situation In my school the graduates have to pick a topic for a thesis in the final year. Each student chooses a tutor from one subject area to help them. Starting position Each student must specify exactly three wishes, which are sorted in descending order of preference. Example: Stacy chooses Mr. Jobs in Design as her first wish, Carl also

问题 I am new to PHP, but I do my best. Please be patient with me. :) Yesterday I already asked a similar question, but today I have to extend it. Initial Situation In my school the graduates have to pick a topic for a thesis in the final year. Each student chooses a tutor from one subject area to help them. Starting position Each student must specify exactly three wishes, which are sorted in descending order of preference. Example: Stacy chooses Mr. Jobs in Design as her first wish, Carl also

问题 I have a line in some R code I am writing that is quite slow. It applies logSumExp across a 4 dimensional array using the apply command. I'm wondering are there ways to speed it up! Reprex: (this might take 10seconds or more to run) library(microbenchmark) library(matrixStats) array4d <- array( runif(5*500*50*5 ,-1,0), dim = c(5, 500, 50, 5) ) microbenchmark( result <- apply(array4d, c(1,2,3), logSumExp) ) Any advice appreciated! 回答1: rowSums is a less general version of apply that is

问题 How do i find the coordinates of the biggest value in a 3D array if I want to find all of them? This is my code so far, but it doesnt work, I fail to understand why. s = set() elements = np.isnan(table) numbers = table[~elements] biggest = float(np.amax(numbers)) a = table.tolist() for x in a: coordnates = np.argwhere(table == x) if x == biggest: s.add((tuple(coordinates[0])) print(s) for example: table = np.array([[[ 1, 2, 3], [ 8, 4, 11]], [[ 1, 4, 4], [ 8, 5, 9]], [[ 3, 8, 6], [ 11, 9, 8]]