Infinitusvoid

## change_extension.bat
@echo off
setlocal enabledelayedexpansion

rem Check if user provided the old extension and new extension
if "%~2"=="" (
    echo Usage: %~nx0 old_extension new_extension
    exit /b 1
)

set "old_extension=%~1"

## readme.md

      
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                Infinitusvoid
                / readme.md
            
            
              Last active
              January 3, 2024 18:16
            
              
                Batch with Magick : How to converet webp animated image into image frames
              
          
    where to find ImageMagick ?
https://imagemagick.org/index.php

  
## note.txt
you press ctrl + w, r

## code.txt
python -m http.server 8080

## code.py
import sys
print("Python version :", sys.version)
print(" Version information : ", sys.version_info)

## code.py
!nvidia-smi

## code.py
import torch

# Set the random seed
RANDOM_SEED = 42
torch.manual_seed(RANDOM_SEED)

random_tensor_A = torch.rand(3, 4)
print(random_tensor_A)

torch.manual_seed(RANDOM_SEED)

## gist:76ec68a674e5aaf6e417523d5e1872d7
import torch
print(torch.cuda.is_available())

## code.py
import torch
print(torch.__version__)

## code.py
import numpy as np
import torch

# Tensor to NumPy array
tensor = torch.ones(7)
numpy_tensor = tensor.numpy()
tensor, numpy_tensor

#What about going back
tensor = torch.from_numpy(array) # warning: when converting from numpy -> pytorch, pytorch reflects numpy's default datatype of float64 unless specefied otherwise
	@echo off
	setlocal enabledelayedexpansion

	rem Check if user provided the old extension and new extension
	if "%~2"=="" (
	echo Usage: %~nx0 old_extension new_extension
	exit /b 1
	)

	set "old_extension=%~1"
	import sys
	print("Python version :", sys.version)
	print(" Version information : ", sys.version_info)
	import torch

	# Set the random seed
	RANDOM_SEED = 42
	torch.manual_seed(RANDOM_SEED)

	random_tensor_A = torch.rand(3, 4)
	print(random_tensor_A)

	torch.manual_seed(RANDOM_SEED)
	import numpy as np
	import torch

	# Tensor to NumPy array
	tensor = torch.ones(7)
	numpy_tensor = tensor.numpy()
	tensor, numpy_tensor

	#What about going back
	tensor = torch.from_numpy(array) # warning: when converting from numpy -> pytorch, pytorch reflects numpy's default datatype of float64 unless specefied otherwise