get-size | : triangular_ruler : Measure elements | Web Framework library
kandi X-RAY | get-size Summary
kandi X-RAY | get-size Summary
:triangular_ruler: Measure elements
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Top functions reviewed by kandi - BETA
- Returns the size of the element .
- Returns the size of the matrix
- Parses a CSS value .
- relative path to file
get-size Key Features
get-size Examples and Code Snippets
def get_size_format(n, suffix="B"):
# converts bytes to scaled format (e.g KB, MB, etc.)
for unit in ["", "K", "M", "G", "T", "P"]:
if n < 1024:
return f"{n:.2f}{unit}{suffix}"
n /= 1024
Community Discussions
Trending Discussions on get-size
QUESTION
I used the following code as a reference:
- SwiftUI - Get size of child?
- SwiftUI - How to get size (height) of ScrollView content
- Get the current scroll position of a SwiftUI ScrollView
I think it's pretty close.
It seems like it could probably be solved by using origin.maxY
instead of origin.y
,
but origin.maxY
doesn't seem to be provided in GeometryReader
(strictly speaking: CGRect
).
How do I detect when User has reached the bottom of the ScrollView?
...ANSWER
Answered 2021-Aug-06 at 11:59Wrap your whole ScrollView
in your ChildSizeReader
, so you can get the height of the ScrollView
itself.
Because the offset starts at zero at the top, when at the bottom of the scroll view the end isn't at the top of the screen, but rather the bottom. This difference is the height of the scroll view. This means the ScrollView
starts at offset 0
and goes to total content height - scroll view height
.
Code:
QUESTION
I ran several streaming spark jobs and batch spark jobs in the same EMR cluster. Recently, one batch spark job is programmed wrong, which consumed a lot of memory. It causes the master node not response and all other spark jobs stuck, which means the whole EMR cluster is basically down.
Are there some way that we can restrict the maximum memory that a spark job can consume? If the spark job consumes too much memory, it can be failed. However, we do not hope the whole EMR cluster is down.
The spark jobs are running in the client mode with spark submit cmd as below.
...ANSWER
Answered 2021-Jul-13 at 11:58You can utilize yarn.nodemanager.resource.memory-mb
The total amount of memory that YARN can use on a given node.
Example : If your machine is having 16 GB
Ram,
and you set this property to 12GB
, maximum 6
executors or drivers will launched (since you are using 2gb per executor/driver) and 4 GB will be free and can be used for background processes.
QUESTION
I'm writing a script that needs to scan a file until it finds the line at which a substring occurs, save the position of the beginning of that line, then return to it later. I'm very new to python, so I've not had much success yet. Here is my current code:
...ANSWER
Answered 2021-Jun-17 at 19:02Stefan Papp suggested saving the position before the line was read, a simple solution that I failed to consider. An adjusted version:
QUESTION
The problem has been discussed here, but people settled for an inaccurate solution. I'm using a CButton
class with a BS_AUTOCHECKBOX
flag. Is there a precise way to determine the size of the square with a black border (which holds the checkmark) on Windows/MFC? And also the gap between this square and text?
I realized, the gap can be calculated like this (scale_factor
depends on the client's current screen DPI - 100%dpi, scale_factor==1; 150%dpi, scale_factor==1.5, etc.)
ANSWER
Answered 2021-Apr-01 at 16:51What about using GetSystemMetricsForDpi
?
To quote:
Retrieves the specified system metric or system configuration setting taking into account a provided DPI.
This function returns the same result as
GetSystemMetrics
but scales it according to an arbitrary DPI you provide if appropriate.
So:
QUESTION
I am trying to train a pretty simple 2-layer neural network for a multi-class classification class. I am using CrossEntropyLoss
and I get the following error: ValueError: Expected target size (128, 4), got torch.Size([128])
in my training loop at the point where I am trying to calculate the loss.
My last layer is a softmax so it outputs the probabilities of each of the 4 classes. My target values are a vector of dimension 128
(just the class values). Am I initializing the CrossEntropyLoss
object incorrectly?
I looked up existing posts, this one seemed the most relevant:
https://discuss.pytorch.org/t/valueerror-expected-target-size-128-10000-got-torch-size-128-1/29424 However, if I had to squeeze
my target values, how would that work? Like right now they are just class values for e.g., [0 3 1 0]
. Is that not how they are supposed to look? I would think that the loss function maps the highest probability from the last layer and associates that to the appropriate class index.
Details:
- This is using PyTorch
- Python version is 3.7
- NN architecture is: embedding -> pool -> h1 -> relu -> h2 -> softmax
- Model Def (EDITED):
ANSWER
Answered 2021-Feb-10 at 13:47The issue is that the output of your model is a tensor shaped as (batch, seq_length, n_classes)
. Each sequence element in each batch is a four-element tensor corresponding to the predicted probability associated with each class (0
, 1
, 2
, and 3
). Your target tensor is shaped (batch,)
which is usually the correct shape (you didn't use one-hot-encodings). However, in this case, you need to provide a target for each one of the sequence elements.
Assuming the target is the same for each element of your sequence (this might not be true though and is entirely up to you to decide), you may repeat the targets seq_length
times. nn.CrossEntropyLoss
allows you to provide additional axes, but you have to follow a specific shape layout:
- Input: (N, C) where C = number of classes, or (N, C, d_1, d_2, ..., d_K) with K≥1 in the case of K-dimensional loss.
- Target: (N) where each value is 0 ≤ targets[i] ≤ C−1 , or (N, d_1, d_2, ..., d_K) with K≥1 in the case of K-dimensional loss.
In your case, C=4
and seq_length
(what you referred to as D
) would be d_1
.
QUESTION
I tried to reinstall one of my old vue projects on my new computer (on Windows 10) with npm but I came across this error :
...ANSWER
Answered 2020-Aug-09 at 21:31Just to bring to sight the answer given by Flash Thunder, the problem was my internet connection. I was using my phone to access the Internet. After connecting my computer to the closest wifi, everything is working fine
QUESTION
I am training a simple MLP by computing the MSE and get the following error:
UserWarning: Using a target size (torch.Size([1])) that is different to the input size (torch.Size([1, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
The following gives me the right solution
target = target.unsqueeze(1)
while torch.unsqueeze(target,1)
does not. The former solution is from a previous question and the latter comes from the documentation
Why does the latter fix the UserWarning message with the former doesn't?
...ANSWER
Answered 2020-Nov-15 at 03:13torch.unsqueeze
Returns a new tensor with a dimension of size one inserted at the specified position. That is its not an inplace operation thus you need to assign its output to something. i.e. simply do :
QUESTION
Problem Statement: I have an image and a pixel of the image can belong to only(either) one of Band5','Band6', 'Band7'
(see below for details). Hence, I have a pytorch multi-class problem but I am unable to understand how to set the targets which needs to be in form [batch, w, h]
My dataloader return two values:
...ANSWER
Answered 2020-May-20 at 05:34If I understand correctly, your current "target" is [batch_size, channels, w, h]
with channels==3
as you have three possible targets.
What are the values in your target represent? You basically have a 3-vector target for each pixel - are these the expected class probabilities? Are they "one-hot-vectors" indicating the correct "band"?
If so, you can get the target indices by simply taking the argmax
along the target channel dimension:
QUESTION
I've been trying to upload two custom images for some time now and I have failed repeatedly. During the import process the Google application always responds with the message that the Compute Engine Default Service Account does not have the role 'roles/compute.storageAdmin'. However, I have both assigned it using the CLI as the webinterface.
Notable is that the application throws this error during resizing of the disk. The original size of the disk is about 10GB, however, it tries to convert it to a 1024GB (!) disk. This got me thinking, could it be that this is too big for the application, hence it throwing the error it lacks permissions?
As a follow up questions, I have not found any options to set the size of the disk (not in the CLI nor in the webapp). Does anybody know of such options?
Here is the error message I have recieved:
...ANSWER
Answered 2020-May-06 at 16:08This error message with the import of virtual disks have 2 root causes:
1.- Cloud Build and/or Compute engine and/or your User account did not have the correct IAM roles to perform these tasks. You can verify them here.
Cloud Build SA roles needed:
- roles/iam.serviceAccountTokenCreator
- roles/compute.admin
- roles/iam.serviceAccountUser
Compute Engine SA roles needed:
- roles/compute.storageAdmin
- roles/storage.objectViewer
User Account roles needed:
- roles/storage.admin
- roles/viewer
- roles/resourcemanager.projectIamAdmin
2.- " Not sure but I'm fairly certain this is due to the 1024GB being too big" The disk quota you have is less than 1T. The normal disk quota is 250-500 GB so that could be why by importing a 64 GB disk you encounter no problem.
You can check your quota in step 1 of this document; If you need to request more, you can follow steps 2 to 7.
QUESTION
I have been trying to put a line indicator on the left most margin of the card in my flutter app. I've tried a lot of things but didn't work.
There's an exact question here, which is actually the same issue I've been trying to solve.
The problem with the accepted solution is that it restricts the height of the hardcoded value, which I don't want. Rather the color should automatically fill the height of the card.
The Problem
I've tried all the three solutions and none of them fit my use case.
Output from first solution Here I've to hardcode the value to something larger so that all the text being displayed lies well inside it. That's something I feel is not a solution.
...ANSWER
Answered 2020-Apr-07 at 08:19Perhaps one way of doing it is to use Stack
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