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cifar100_pylearn2_torch.lua · GitHub
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May 6, 2016 19:33
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local np = require 'npy4th' | |
local iterm = require 'iterm' | |
local train = np.loadnpy'./train.npy' | |
local test = np.loadnpy'./test.npy' | |
local cifar10 = torch.load'/home/zagoruys/raid/datasets/tiny-datasets/cifar10_whitened.t7' | |
print(cifar10) | |
local train_labels = np.loadnpy'../cifar-100-python/train_labels.npy' | |
local test_labels = np.loadnpy'../cifar-100-python/test_labels.npy' | |
assert(train:size(1) == train_labels:size(1)) | |
assert(test:size(1) == test_labels:size(1)) | |
print(train_labels:min(), train_labels:max()) | |
local dataset = { | |
trainData = { | |
data = train:view(-1,3,32,32), | |
labels = train_labels:squeeze():double() + 1, | |
size = function() return train_labels:size(1) end, | |
}, | |
testData = { | |
data = test:view(-1,3,32,32), | |
labels = test_labels:squeeze():double() + 1, | |
size = function() return test_labels:size(1) end, | |
}, | |
} |
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