Comments (1)
Please follow the command line in the README:
python main_moco.py \ -a resnet50 \ --lr 0.03 \ --batch-size 256 \ --dist-url 'tcp://localhost:10001' --multiprocessing-distributed --world-size 1 --rank 0 \ [your imagenet-folder with train and val folders]
Specifically, note --dist-url 'tcp://localhost:10001' --multiprocessing-distributed
.
from moco.
Related Issues (20)
- cannot reproduce the results of moco-v2 HOT 2
- Question about transfering to COCO with Mocov1 and Mocov2 checkpoint
- Issue about dequeue_and_enqueue HOT 3
- Question about the queue for key encoder HOT 2
- Why labels are all zeros, should first columns of labels be ones? HOT 4
- Issue with batch size HOT 1
- Low Accuracy
- One question about single GPU HOT 2
- How to load the Hyperparameters without command line code Argument Parser?
- About training HOT 2
- what information is leaked due to intra-batch communication? HOT 2
- What is the label format of the cifar-10 dataset? HOT 1
- Concerns about feature dimensionality in MoCo self-training
- Can you tell me dataset structure and how images are named in the dataset HOT 1
- why pretrain from encoder_q? HOT 1
- Question about queue dimension
- How is BN in key-encoder updated (in Moco v1)? HOT 1
- Why is labels = zeros(N) set to zero? HOT 3
- The size of the dictionary HOT 2
- About License
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