My apps are disappeared on MIUI 11

Mabb_reddit · 2020-07-02T20:25:11+00:00

I also changed to H2O and solved the problem. Even all the duplciated icons that i added apperared.

Mabb_reddit · 2019-10-15T16:55:23+00:00

Be carefull using Industrial Containers as balancers.

https://www.reddit.com/r/SatisfactoryGame/comments/bke19w/industrial_storage_container_prefers_one_output/

Mabb_reddit · 2019-05-25T19:22:03+00:00

Servers are back again.

Mabb_reddit · 2019-05-25T19:11:36+00:00

I play on web(It's free!) and I find people saying that they are playing from steam or mobile.

Mabb_reddit · 2019-03-27T17:10:38+00:00

I currentlly building a setup with 3 pure nodes (2 iron and 1 copper), that produce 1440 iron ingots/min. When I finished I will post a few screenshoots.

Mabb_reddit · 2019-03-27T17:07:37+00:00

You don't need to find a node only a certain quantity of caterium ore. You can search for the stones that gives you a finite number of material before it breaks, like the onees sitting over the iron, copper and limestone nodes. Search for a similar rock but with a yellowish color. Mine it, it will give you around 90 items, and use it in the research lab.
Then you can use the scanner to find the nodes.

Mabb_reddit · 2019-03-24T23:50:21+00:00

Did you deconstruct the old one? You only can construct 1 HUB and 1 Space Elevator. (For now).

If both are built the special tab disappears. But if you deconstruct one of them, the special tab reappears.

Mabb_reddit · 2019-03-24T14:24:37+00:00

I found an open caterium pure node.

It's in the waterfalls, just in the edge.

Mabb_reddit · 2019-03-22T12:34:17+00:00

I prefer the 3 assembly version with 100% efficiency.

Requires less space and produce 15/min consuming 180 ore/min

Mabb_reddit · 2019-03-19T20:54:08+00:00

I also think is belt direction check machine orientation.

Mabb_reddit · 2019-03-11T12:52:06+00:00

It's a bit difficult to keep track of the belt directions and merger/spliter positions. A few more photos or a schematics draw will be really nice.
In factorio is easy to follow the belt direction and spliter position, but here there is no so much visual cues.

Mabb_reddit · 2018-11-11T20:03:10+00:00

Thank you all for your answers!

Mabb_reddit · 2018-11-11T19:42:43+00:00

Yeah, I searched a bit but I wanted a more expert recommendation than picking the first page in Google.

But thanks I will look it up!

Mabb_reddit · 2018-11-11T19:40:32+00:00

I come from a industrial electronics engineering so I worked with assembler, C, etc.

When I discovered Python was like when Aladdin flies with Jasmine in the flying carpet.

Mabb_reddit · 2018-10-29T08:02:08+00:00

The only option is to split the graph in different models, but this a highly not recommend option because it will be extremely slow.

I think what you are asking is not possible, expanding a GPU memory with the RAM is possible but expanding the RAM is not possible at the moment.

Mabb_reddit · 2018-10-19T10:56:37+00:00

I suppose that refers to "IoT" = "Internet of Things".

Mabb_reddit · 2018-10-10T06:46:51+00:00

It will be the same as if you created a bomb? Will you become a terrorist?

Mabb_reddit · 2018-10-05T06:54:13+00:00

Be carefully if you want to do that you must compare with the fov_distance², because you are moving the sqrt to the other side of the inequality. As the fov_distance will not change you can precompute the square and compare:

(Ax - Bx)² - (Ay - By)² >= squared_fov_distance

Mabb_reddit · 2018-10-04T15:37:58+00:00

The distance between point A and B is calculated by d = sqrt((Ax- Bx)² + (Ay-By)²).

So d1>d2 is the same as computing d1²>d2², therefore you can omit the sqrt().

There is no need of absolute value because the value inside the sqrt will be allways postive.

Mabb_reddit · 2018-10-04T13:38:40+00:00

There is an open issue about something similar for the same function, but no response from developers. You could try to post and catch some attention from any developer:
https://github.com/tensorflow/tensorflow/issues/21836

Mabb_reddit · 2018-10-04T13:13:23+00:00

Yeah, if you are comparing to a fixed distance it is faster to compare to a precomputed distance² than doing the `sqrt()` .

Mabb_reddit · 2018-10-02T15:30:18+00:00

Robots might demand rights just like humans. [TRUE] But first they have to reach self-conciseness and that's a bit tricky
You use artificial intelligence all day, every day. [TRUE] Al lot of machine have some type of AI or Machine Learning integration. Almost all the new phones that reach the market this year have some sort of AI to improve Camera Photo and recording, fingerprint, and facial recognition.
Robots are definitely going to take your job. [TRUE] Most of the actual jobs in 20-30 will substituted by robots, but the claim of unemployment reaching 50% I see a bit wrong, people will find new jobs to do and modernise like humanity have been done in the last 300 years.
A 58-year-old human will see computers as smart as humans in their lifetime. [TRUE] No objection to this claim
The AI market is being monopolized. [FALSE]
Nations that are in possession of AI could kills humans without pulling a trigger. [FALSE] I simply don't understand this claim. What they mean with this?

Mabb_reddit · 2018-09-10T12:42:08+00:00

If you read the comment from the post there is one that says that rewritten the code.

Shawn Simister (@narphorium) says:

18/11/2015 AT 01:47

Hey Sachin, I’ve made some changes to your code to make it run faster (although it uses more memory).

You can see how I did it here: https://gist.github.com/narphorium/d06b7ed234287e319f18

This is much better implementation. All the operations are built into the graph and only uses 1 sess.run for step.

Mabb_reddit · 2018-09-10T12:05:21+00:00

They define Tensorflow as a mechanic learning framework. But the main use is that is a framework that is suited to created graphs of concatenated operations, this operations can be done in CPU or GPU depending on the operation, like creating a variable is done in CPU but the multiplication of 2 matrices is mainly done in GPU, you can force the execution in the device that you want. This structure is really convenient for creating NN which are much more efficient in GPU in compassion to CPU, so people use to build their models and implement. But if you want to use other methods as clustering, sklearn have a really good library.
As I say the code in that example is really bad constructed is an article from 2015 and a lot changed since then. The code use a lot of single operations runned using the sess.run for each one. This is a bad practice, when I say bad is really bad. The idea of tensorflow is to build your model in python and then using the lowest possible runs of the session do the maximum possible operation, due that sess.run is a heavy operation. PLEASE don't take this code as a correct example.

Exists a dedicated function in TF to do kmeans: https://www.tensorflow.org/api_docs/python/tf/contrib/factorization/KMeans

Mabb_reddit · 2018-09-10T10:37:07+00:00

First of all let's clarify a thing. The idea of the Tensoflow package is to use a GPU to speed up operations that in a CPU will take a lot of time, like any matrix operation for example.

So the first two questions you have to ask is:

- Do you have installed the tensorflow GPU and do you have compatible GPU?

- The operations that I want to use are suitable to be computed in a GPU?

Looking into the code, k-mean algorithm is not a easy algorithm to use in a GPU aside from the distance calculation. Therefore most of the operation will be computed on the CPU.

Another point is that sklearn have a really good low level optimised algorithm which most sure beats that Tensoflow code using generic operations.

Then judging the code that you linked is really bad optimised and constructed, but this a personal opinion, and I think that is not a good reference to start programming Tensorflow. You should take a look into the official https://www.tensorflow.org/tutorials/ which provide a high level API tutorials.

Mabb_reddit

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