TNN | TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework f | Machine Learning library

I tried to make a copy of a neural network in pytorch and subsequently train the copied network, but training does not seem to change the weights in the network after copying. This post suggests that deepcopy is a convenient way to make a copy of a neural network, so I tried using that in my code.

The code below works just fine and shows that the weights and accuracy of the network are different after training from before training. However, when I toggle so that network_cp=deepcopy(network) and optimizer_cp=deepcopy(optimizer), the accuracy and weights before and after training are exactly the same.

I'm relatively inexperienced in C++, and am trying to compile a library to DLL for use in Unity. As far as generating the DLL and interfacing with it, I've had success in getting my below function to call and return a dummy value in Unity, no worries.

Where I'm struggling is working out how to interface with this Approximate Nearest Neighbour library, and could use some pointers. (This may be a hard problem to define without downloading the above-linked source and having a look yourself, but I will attempt to make it simple)

In Unity, I have a three-dimensional array (points[] = float[x,y,z]), and a query point in space (float[x,y,z]). I wish to feed this data into something like the below function (which I have modified from the ann_sample.cpp - original linked at the bottom), and return the nearest neighbour to this point.

My function

I have uploaded an image from the user gallery to Firebase storage and got the following URL -

https://firebasestorage.googleapis.com/v0/b/tnn-1mddev.appspot.com/o/notificationImages?alt=media&token=9a91bfe6-ae7a-4560-9f42-0adbd49de2e9

which when opening at google chrome is a valid image URL.

The thing is that when I am trying to sent it to the Firebase server at the following method is does not work with my URL from firebase -

I am using google's AutoValue to generate some configs, but before generating the configs, I would like to make sure that the entries are sanitized and default values are added to the list.

The AutoValue part looks like:

I have a text file that appears tab-delimited but some of the lines have two tabs between columns. When I read into R everything looks great until I hit one of these lines and then breaks down.

My guess is that I need something to say that if one tab follows another tab the second one should be ignored.

I've tried using read.table with and without a sep="\t" as well as read_table.

I have a .txt file with 3 columns: word position, word and tag (NN, VB, JJ, etc.).

Example of txt file:

I have a very large dataset that I need to reshape from wide to long.

Here is a demo of my datset which contains all the situation:

I apologize in advance, my question header may not accurately describes what I am trying to do. I think what I need to create is a loop, but I will give a give more detail. I have two data frames

df1

Hello dear Programmers,

I want to find certain words within List Items. My Input looks like this: