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How do I print the summary of a model in PyTorch like the model.summary()
method does in Keras:
Model Summary:
____________________________________________________________________________________________________
Layer (type) Output Shape Param # Connected to
====================================================================================================
input_1 (InputLayer) (None, 1, 15, 27) 0
____________________________________________________________________________________________________
convolution2d_1 (Convolution2D) (None, 8, 15, 27) 872 input_1[0][0]
____________________________________________________________________________________________________
maxpooling2d_1 (MaxPooling2D) (None, 8, 7, 27) 0 convolution2d_1[0][0]
____________________________________________________________________________________________________
flatten_1 (Flatten) (None, 1512) 0 maxpooling2d_1[0][0]
____________________________________________________________________________________________________
dense_1 (Dense) (None, 1) 1513 flatten_1[0][0]
====================================================================================================
Total params: 2,385
Trainable params: 2,385
Non-trainable params: 0
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Model summary in pytorch __del__: Questions
How can I make a time delay in Python?
5 answers
I would like to know how to put a time delay in a Python script.
Answer #1
import time
time.sleep(5) # Delays for 5 seconds. You can also use a float value.
Here is another example where something is run approximately once a minute:
import time
while True:
print("This prints once a minute.")
time.sleep(60) # Delay for 1 minute (60 seconds).
Answer #2
You can use the sleep()
function in the time
module. It can take a float argument for sub-second resolution.
from time import sleep
sleep(0.1) # Time in seconds
Model summary in pytorch __del__: Questions
How to delete a file or folder in Python?
5 answers
How do I delete a file or folder in Python?
Answer #1
os.remove()
removes a file.os.rmdir()
removes an empty directory.shutil.rmtree()
deletes a directory and all its contents.
Path
objects from the Python 3.4+ pathlib
module also expose these instance methods:
pathlib.Path.unlink()
removes a file or symbolic link.pathlib.Path.rmdir()
removes an empty directory.
We hope this article has helped you to resolve the problem. Apart from Model summary in pytorch, check other __del__-related topics.
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California | 2023-03-24
Simply put and clear. Thank you for sharing. Model summary in pytorch and other issues with code Python module was always my weak point 😁. Will get back tomorrow with feedback
Warsaw | 2023-03-24
I was preparing for my coding interview, thanks for clarifying this - Model summary in pytorch in Python is not the simplest one. Will use it in my bachelor thesis
Abu Dhabi | 2023-03-24
I was preparing for my coding interview, thanks for clarifying this - Model summary in pytorch in Python is not the simplest one. Checked yesterday, it works!