Comments (2)
@LYF14020510036
Do you know what h means? Thanks
from learningtocompare_fsl.
Percent point function (inverse of cdf) at q of the given RV.
from learningtocompare_fsl.
Related Issues (20)
- Question about training and testing using the same dataset. HOT 2
- How can I find the task_generator_test.py ?
- RuntimeError: Expected object of scalar type Long but got scalar type Int for argument #3 'index' HOT 2
- RuntimeError: Attempting to deserialize object on CUDA device 1 but torch.cuda.device_count() is 1. Please use torch.load with map_location to map your storages to an existing device. HOT 1
- Question about mini imagenet dataset
- Corrected depreciated functions and tested using ipython
- How to ensure each category in support set is the same as that in query set?
- RuntimeError: invalid argument 0: Sizes of tensors must match except in dimension 2. Got 1 and 50 in dimension 0 at /pytorch/torch/lib/THC/generic/THCTensorMath.cu:111
- IndexError: scatter_(): Expected dtype int64 for index. HOT 3
- sample larger than population"
- When running omniglot_train_one_shot.Time costs。 HOT 1
- RuntimeError: shape '[-1, 128, 19, 19]' is invalid for input of size 46656000 on miniimagenet code
- Question about calculating accuracy
- Can I use contrastive loss here?
- Train on my own dataset
- Test on different dataset, not miniimagenet, not omniglot
- 💪 Reproduce LearningToCompare_FSL environment on Ubuntu 16.04 CUDA 8.0
- self.train_labels = [labels[self.get_class(x)] for x in self.train_roots] KeyError: '..\\datas\\omniglot_28x28' HOT 4
- Data Leakage!
- Do model.train and model.eval need to be added?
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