BYOL | Bootstrap Your Own Latent pytorch implementation | Machine Learning library
kandi X-RAY | BYOL Summary
kandi X-RAY | BYOL Summary
An implementation of BYOL with DistributedDataParallel (1GPU : 1Process) in pytorch. This allows scalability to any batch size; as an example a batch size of 4096 is possible using 64 gpus, each with batch size of 64 at a resolution of 224x224x3 in FP32 (see below for FP16 support).
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Top functions reviewed by kandi - BETA
- Run the model
- Execute a model
- Zero gradient
- Calculate the loss between two matrices
- Train a model
- Execute the test graph
- Calculate the loss function between two predictions
- Register plot to visdom
- Register images to visdom
- Build lr scheduler
- Lazy loads modules
- Build the optimizer
- Build train and test and test
- Build the loader for the loader
- Forward computation
- Compute the target prediction
- Compute prediction for given augmentation
BYOL Key Features
BYOL Examples and Code Snippets
Community Discussions
Trending Discussions on BYOL
QUESTION
I use PyTorch Lightning for model training, during which I use ModelCheckpoint
to save loading points. Finally, I would like to know whether the model is loaded correctly. Let me know if you require further information?
ANSWER
Answered 2022-Mar-21 at 16:05load_from_checkpoint()
will return a model with trained weights, so you need to assign it to a new variable.
QUESTION
i need an output similar to this
...ANSWER
Answered 2021-Dec-14 at 16:30This should work:
QUESTION
I'm studying for my Associate Architect exam at AWS, and I can't find an explanation for this question. Why Dedicated Host are more expensive than Dedicated Instances? I understand the main differences between the two, it is just that in my brain it doesn't make sense.
This is my perspective: if you ask for a dedicated host, you control the entire hardware. CPUs, RAM, Sockets, etc. You can use your own license (BYOL). But if you ask for a Dedicated Instance, the hardware it is still just for you. Your AWS account is still the only one using that hardware. You have less control over it, but even though you are locking down a single piece of hardware just for your purposes.
So, why dedicated hosts are more expensive than dedicated instances, if after all, in either case, you "own" the hardware? Again, in either case, AWS won't be able to use that hardware for something else.
...ANSWER
Answered 2020-Oct-12 at 06:36you are locking down a single piece of hardware just for your purposes.
Dedicated Instance does not work like this. Your instance runs on some dedicated hardware. Its not lockdown to you. If you stop/start instance, you can get some other hardware somewhere else. Basically, the hardware is "yours" (you are not sharing it with others) for the time your instance is running. You stop/start it, you may get different physical machine later on (maybe older, maybe newer, maybe its specs will be a bit different), and so on. So your instance is moved around on different physical servers - whichever is not occupied by others at the time.
With Dedicated Host the physical server is basically yours. It does not change, it's always the same physical machine for as long as you are paying.
QUESTION
I have an S3 bucket which contains my ova file. The file name does not contain space, etc. The S3 bucket is in my default region. I have created the role and trusting policy as described in https://docs.aws.amazon.com/vm-import/latest/userguide/vmimport-image-import.html#import-image-prereqs
Command used:I call the following command to start the import:
...ANSWER
Answered 2020-Sep-22 at 14:24Make sure the vmimport policy attached to vmimport role allows access to the S3 bucket containing your .ova files.
If you copied the policy from the documentation verbatim, you will need to edit it to explicitly grant access to your S3 buckets.
This section:
QUESTION
I have 2 objects a and diff I need the matching array or object from nested object "a".
The INPUT as below :
...ANSWER
Answered 2020-Mar-10 at 10:23Loop through diff
properties and add each property of diff
to output
as field and its value from the a
object :
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