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# Based on the code in https://github.com/tristandeleu/pytorch-meta/tree/master/examples/maml
# Basically, we only use the dataset loaders/helpers from TorchMeta and replace usage of MetaModules
# with normal pytorch nn.Modules, letting higher deal with making the inner loop unrollable and the
# optimizers differentiable. This makes it easier to use another optimizer than SGD, or any arbitrary
# third-party model, when doing MAML using this codebase.

import os
import torch
import torch.nn as nn
import torch.nn.functional as F

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==> Downloading http://threadingbuildingblocks.org/sites/default/files/software_releases/source/tbb41_20121003oss_src.tgz
Already downloaded: /Library/Caches/Homebrew/tbb-4.1u1.tgz
/usr/bin/tar xf /Library/Caches/Homebrew/tbb-4.1u1.tgz
==> make tbb_build_prefix=BUILDPREFIX CONLY=cc CPLUS=c++ arch=intel64
make tbb_build_prefix=BUILDPREFIX CONLY=cc CPLUS=c++ arch=intel64
Created ./build/BUILDPREFIX_release and ..._debug directories
/usr/bin/make -C "./build/BUILDPREFIX_debug"  -r -f ../../build/Makefile.tbb cfg=debug tbb_root=../..
../../build/Makefile.tbb:39: CONFIG: cfg=debug arch=intel64 compiler=gcc os=macos runtime=cc4.2.1_os10.8.2
c++ -c -MMD -g -O0 -DTBB_USE_DEBUG -DUSE_PTHREAD -m64 -fPIC -D__TBB_BUILD=1 -Wall -Wno-non-virtual-dtor    -I../../src -I../../src/rml/include -I../../include ../../src/tbb/concurrent_hash_map.cpp
brew: superenv removed: -g -O0 -m64 -Wall -Wno-non-virtual-dtor

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Your system is raring to brew.