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kandi X-RAY | mat2 Summary
kandi X-RAY | mat2 Summary
This software is currently in beta, please don't use it for anything critical.
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Top functions reviewed by kandi - BETA
- Remove all members from the archive
- Perform final checks
- Return the compression for a member
- Set a member s compression
- Determines if a file should be cleaned up
- Randomize creation ID
- Parse an XML file
- Collect counters from file
- Get the metadata for the archive
- Get metadata for a specific file
- Remove all data from ffmpeg
- Get arguments for bubblewrap
- Run a subprocess
- Return bwrap path
- Generate meta data
- Returns the meta data from the exiftool
- Return the exiftool path
- Remove all images
- Performs lightweight cleanup
- Determine if a file should be cleaned up
- Get metadata
- Remove all keys from the dict
- Determine if the full path should be cleaned up
- Remove all images from the image
- Removes all items from the cache
- Check that the archive is valid
mat2 Key Features
mat2 Examples and Code Snippets
Community Discussions
Trending Discussions on mat2
QUESTION
I would like to do a tensor split in pytorch. However, I get an error message because I can't get the splitting to work.
The behavior I want is to split the input data into two Fully Connected layers. I then want to create a model that combines the two Fully Connected layers into one.
I believe the error is due to a wrong code in x1, x2 = torch.tensor_split(x,2)
ANSWER
Answered 2022-Mar-21 at 09:57Specify dim=1
in torch.tensor_split(x,2)
.
The x
comes from two tensors with the shape [100,1]
stacked at dim 1, so its shape is [100, 2]
. After applying tensor_split
, you get two tensors both with shape [50, 2]
.
QUESTION
I would like to convert a character vector within a dataframe of a list into a numeric one. I have an example attached. Data at the end looks like my list I import directly into R and in which I want to convert character into numeric...
...ANSWER
Answered 2022-Mar-02 at 21:25type.convert
can change column types in list
as well (assuming those columns within the data.frame
doesn't have any non-numeric element in it)
QUESTION
I am trying to write some APL code that will take a matrix and give back the matrix and all its 90 degree rotations.
As a rotation function I have: {(⌽∘⍉)⍣⍺⊢⍵}
, which takes a matrix on the right and number of CW rotations on the left, and it seems to work fine on its own.
To generate all 4 output arrays, I have tried to use the outer product like this:
...ANSWER
Answered 2022-Jan-17 at 05:40What you need is
QUESTION
A beginner's question here, so I have the following code
foo.h
ANSWER
Answered 2022-Jan-13 at 10:03I'm aware that this is ambiguous
It is not.
const T& value
is a better match than const T* value
for float*
.
The former is an exact match, whereas the later require a qualification conversion.
You might drop the const
for pointer:
QUESTION
I have a data set that I had filtered into a single month. I also have a list of matrices (l1
) that is the same length as the list of data frames (int1
). The matrices in the list have different dimensions (e.g.,3x3, 2x2).
Setting the data and list:
...ANSWER
Answered 2022-Jan-12 at 20:24Here the 'g1' needs to be dynamic based on the number of rows/dimensions of each of the elements in 'lstMat'. This can be done with rep
QUESTION
using fuzzy logic and fuzzywuzzy
module I am able to match Names(from one dataframe) with Short Names(from another Dataframe). Both these Dataframes also contain a table ISIN.
This is the dataframe I get after logic is applied.
...ANSWER
Answered 2021-Dec-17 at 11:39Assuming your first dataframe has ISINs filled out to null, then a simple merge will do what you need. If you need the non-null ISINs in the first dataframe to be preserved, then you need to use a boolean mask:-
QUESTION
I tried the code mentioned in the article in google colab.
https://theaisummer.com/spiking-neural-networks/
I got the error that looks like this...
...ANSWER
Answered 2021-Dec-16 at 20:17I just ran their Colab notebook and ran into the same error. It occurs because the final iteration does not have 128 samples of data, as the total dataset size (60000 and 10000 for training and test set) is not evenly divisible by 128. So there is some left over, and reshaping it to 128 x ... leads to a mismatch of dimensions between input data and the number of neurons in the input layer.
There are two possible fixes.
- Just drop the final batch:
QUESTION
I'm attempting to show the decomposition of an affine matrix with sympy as shown in the following stackexchange post:
https://math.stackexchange.com/questions/612006/decomposing-an-affine-transformation
I've setup two matrices A_params
and A_matrix
, where the former represents
the raw matrix values and the latter is the matrix constructed from its
underlying parameters.
ANSWER
Answered 2021-Dec-16 at 15:47After discussion with a colleague, it turns out I made a simple error in the code. I swapped sin and cos terms. Fixing this results in the correct reconstruction of the matrix when using @Stéphane Laurent's decomposition:
QUESTION
I don't know why I am getting this error, while my all tensors are at the same device "cuda". Here is code
...ANSWER
Answered 2021-Dec-07 at 15:08You forgot to transfer self.model
to the device. Indeed, the model has weights that must be transferred to the correct device, since they interact with your input.
You can do it with self.model.to("cuda")
.
QUESTION
Defining Alexnet using the following code,I can train successfully.But when I want to see the output of each layer,it will be an error ‘RuntimeError: mat1 and mat2 shapes cannot be multiplied (1280x5 and 6400x4096)?’
...ANSWER
Answered 2021-Dec-03 at 16:20You forgot to flatten the output array of self.conv
in the for cycle. You can split it into two cycles, one for the convolution layers, and one for the fully connected ones.
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