wookim3

import learn2learn as l2l

mnist = torchvision.datasets.MNIST(root="/tmp/mnist", train=True)

mnist = l2l.data.MetaDataset(mnist)
task_generator = l2l.data.TaskGenerator(mnist,
                                        ways=3,
                                        classes=[0, 1, 4, 6, 8, 9],
                                        tasks=10)
model = Net()

wookim3

dataset:
 name: imagenet
 path: /datasets/imagenet

wookim3

$ python my_app.py
dataset:
  name: imagenet
  path: /datasets/imagenet

wookim3

defaults:
 - dataset: cifar10

wookim3

$ python my_app.py
dataset:
  name: cifar10
  path: /datasets/cifar10
optimizer:
  beta: 0.01
  lr: 0.1
  type: adam

wookim3

import os
from omegaconf import DictConfig
import hydra

@hydra.main()
def my_app(_cfg: DictConfig) -> None:
   print(f"Current working directory : {os.getcwd()}")
   print(f"Orig working directory    : {hydra.utils.get_original_cwd()}")
   print(f"to_absolute_path('foo')   : {hydra.utils.to_absolute_path('foo')}")
   print(f"to_absolute_path('/foo')  : {hydra.utils.to_absolute_path('/foo')}")

wookim3

$ python examples/tutorial/8_working_directory/original_cwd.py
Current working directory : /home/omry/dev/hydra/outputs/2020-01-16/15-42-50
Orig working directory	: /home/omry/dev/hydra
to_absolute_path('foo')   : /home/omry/dev/hydra/foo
to_absolute_path('/foo')  : /foo

wookim3

$ python my_app.py --multirun dataset=imagenet,cifar10 optimizer=adam,nesterov
[HYDRA] Sweep output dir : multirun/2020-01-16/14-01-10
[HYDRA] Launching 4 jobs locally
[HYDRA]    	#0 : dataset=imagenet optimizer=adam
dataset:
  name: imagenet
  path: /datasets/imagenet
optimizer:
  beta: 0.01
  lr: 0.1

wookim3

VERSION = "20200220" #@param ["20200220","nightly", "xrt==1.15.0"]
!curl https://raw.githubusercontent.com/pytorch/xla/master/contrib/scripts/env-setup.py -o pytorch-xla-env-setup.py
!python pytorch-xla-env-setup.py --version $VERSION

wookim3

VERSION = "20200220" #@param ["20200220","nightly", "xrt==1.15.0"]
!curl https://raw.githubusercontent.com/pytorch/xla/master/contrib/scripts/env-setup.py -o pytorch-xla-env-setup.py
!python pytorch-xla-env-setup.py --version $VERSION