From 47d70f91ac7d8bee3aa64d2c7d92e07503aa346c Mon Sep 17 00:00:00 2001 From: yunjey Date: Tue, 23 May 2017 16:33:36 +0900 Subject: [PATCH] change download directory --- tutorials/02 - Logistic Regression/main.py | 4 ++-- tutorials/03 - Feedforward Neural Network/main-gpu.py | 4 ++-- tutorials/03 - Feedforward Neural Network/main.py | 4 ++-- tutorials/04 - Convolutional Neural Network/main-gpu.py | 4 ++-- tutorials/04 - Convolutional Neural Network/main.py | 4 ++-- tutorials/05 - Deep Residual Network/main-gpu.py | 4 ++-- tutorials/05 - Deep Residual Network/main.py | 4 ++-- tutorials/06 - Recurrent Neural Network/main-gpu.py | 4 ++-- tutorials/06 - Recurrent Neural Network/main.py | 4 ++-- .../07 - Bidirectional Recurrent Neural Network/main-gpu.py | 4 ++-- tutorials/07 - Bidirectional Recurrent Neural Network/main.py | 4 ++-- 11 files changed, 22 insertions(+), 22 deletions(-) diff --git a/tutorials/02 - Logistic Regression/main.py b/tutorials/02 - Logistic Regression/main.py index e52651c..12ccffc 100644 --- a/tutorials/02 - Logistic Regression/main.py +++ b/tutorials/02 - Logistic Regression/main.py @@ -13,12 +13,12 @@ batch_size = 100 learning_rate = 0.001 # MNIST Dataset (Images and Labels) -train_dataset = dsets.MNIST(root='../data', +train_dataset = dsets.MNIST(root='./data', train=True, transform=transforms.ToTensor(), download=True) -test_dataset = dsets.MNIST(root='../data', +test_dataset = dsets.MNIST(root='./data', train=False, transform=transforms.ToTensor()) diff --git a/tutorials/03 - Feedforward Neural Network/main-gpu.py b/tutorials/03 - Feedforward Neural Network/main-gpu.py index 27fcf1c..0cd36a7 100644 --- a/tutorials/03 - Feedforward Neural Network/main-gpu.py +++ b/tutorials/03 - Feedforward Neural Network/main-gpu.py @@ -14,12 +14,12 @@ batch_size = 100 learning_rate = 0.001 # MNIST Dataset -train_dataset = dsets.MNIST(root='../data', +train_dataset = dsets.MNIST(root='./data', train=True, transform=transforms.ToTensor(), download=True) -test_dataset = dsets.MNIST(root='../data', +test_dataset = dsets.MNIST(root='./data', train=False, transform=transforms.ToTensor()) diff --git a/tutorials/03 - Feedforward Neural Network/main.py b/tutorials/03 - Feedforward Neural Network/main.py index 6078821..87df1e7 100644 --- a/tutorials/03 - Feedforward Neural Network/main.py +++ b/tutorials/03 - Feedforward Neural Network/main.py @@ -14,12 +14,12 @@ batch_size = 100 learning_rate = 0.001 # MNIST Dataset -train_dataset = dsets.MNIST(root='../data', +train_dataset = dsets.MNIST(root='./data', train=True, transform=transforms.ToTensor(), download=True) -test_dataset = dsets.MNIST(root='../data', +test_dataset = dsets.MNIST(root='./data', train=False, transform=transforms.ToTensor()) diff --git a/tutorials/04 - Convolutional Neural Network/main-gpu.py b/tutorials/04 - Convolutional Neural Network/main-gpu.py index 25b434a..926ceb5 100644 --- a/tutorials/04 - Convolutional Neural Network/main-gpu.py +++ b/tutorials/04 - Convolutional Neural Network/main-gpu.py @@ -11,12 +11,12 @@ batch_size = 100 learning_rate = 0.001 # MNIST Dataset -train_dataset = dsets.MNIST(root='../data/', +train_dataset = dsets.MNIST(root='./data/', train=True, transform=transforms.ToTensor(), download=True) -test_dataset = dsets.MNIST(root='../data/', +test_dataset = dsets.MNIST(root='./data/', train=False, transform=transforms.ToTensor()) diff --git a/tutorials/04 - Convolutional Neural Network/main.py b/tutorials/04 - Convolutional Neural Network/main.py index 070e4fc..d94a85b 100644 --- a/tutorials/04 - Convolutional Neural Network/main.py +++ b/tutorials/04 - Convolutional Neural Network/main.py @@ -11,12 +11,12 @@ batch_size = 100 learning_rate = 0.001 # MNIST Dataset -train_dataset = dsets.MNIST(root='../data/', +train_dataset = dsets.MNIST(root='./data/', train=True, transform=transforms.ToTensor(), download=True) -test_dataset = dsets.MNIST(root='../data/', +test_dataset = dsets.MNIST(root='./data/', train=False, transform=transforms.ToTensor()) diff --git a/tutorials/05 - Deep Residual Network/main-gpu.py b/tutorials/05 - Deep Residual Network/main-gpu.py index 30ba548..de1d4ff 100644 --- a/tutorials/05 - Deep Residual Network/main-gpu.py +++ b/tutorials/05 - Deep Residual Network/main-gpu.py @@ -16,12 +16,12 @@ transform = transforms.Compose([ transforms.ToTensor()]) # CIFAR-10 Dataset -train_dataset = dsets.CIFAR10(root='../data/', +train_dataset = dsets.CIFAR10(root='./data/', train=True, transform=transform, download=True) -test_dataset = dsets.CIFAR10(root='../data/', +test_dataset = dsets.CIFAR10(root='./data/', train=False, transform=transforms.ToTensor()) diff --git a/tutorials/05 - Deep Residual Network/main.py b/tutorials/05 - Deep Residual Network/main.py index 8b0a949..cbab3d4 100644 --- a/tutorials/05 - Deep Residual Network/main.py +++ b/tutorials/05 - Deep Residual Network/main.py @@ -16,12 +16,12 @@ transform = transforms.Compose([ transforms.ToTensor()]) # CIFAR-10 Dataset -train_dataset = dsets.CIFAR10(root='../data/', +train_dataset = dsets.CIFAR10(root='./data/', train=True, transform=transform, download=True) -test_dataset = dsets.CIFAR10(root='../data/', +test_dataset = dsets.CIFAR10(root='./data/', train=False, transform=transforms.ToTensor()) diff --git a/tutorials/06 - Recurrent Neural Network/main-gpu.py b/tutorials/06 - Recurrent Neural Network/main-gpu.py index cef2a95..ce97b6d 100644 --- a/tutorials/06 - Recurrent Neural Network/main-gpu.py +++ b/tutorials/06 - Recurrent Neural Network/main-gpu.py @@ -16,12 +16,12 @@ num_epochs = 2 learning_rate = 0.01 # MNIST Dataset -train_dataset = dsets.MNIST(root='../data/', +train_dataset = dsets.MNIST(root='./data/', train=True, transform=transforms.ToTensor(), download=True) -test_dataset = dsets.MNIST(root='../data/', +test_dataset = dsets.MNIST(root='./data/', train=False, transform=transforms.ToTensor()) diff --git a/tutorials/06 - Recurrent Neural Network/main.py b/tutorials/06 - Recurrent Neural Network/main.py index a9cc1de..10bbef9 100644 --- a/tutorials/06 - Recurrent Neural Network/main.py +++ b/tutorials/06 - Recurrent Neural Network/main.py @@ -16,12 +16,12 @@ num_epochs = 2 learning_rate = 0.01 # MNIST Dataset -train_dataset = dsets.MNIST(root='../data/', +train_dataset = dsets.MNIST(root='./data/', train=True, transform=transforms.ToTensor(), download=True) -test_dataset = dsets.MNIST(root='../data/', +test_dataset = dsets.MNIST(root='./data/', train=False, transform=transforms.ToTensor()) diff --git a/tutorials/07 - Bidirectional Recurrent Neural Network/main-gpu.py b/tutorials/07 - Bidirectional Recurrent Neural Network/main-gpu.py index ae7560a..4d5bb0a 100644 --- a/tutorials/07 - Bidirectional Recurrent Neural Network/main-gpu.py +++ b/tutorials/07 - Bidirectional Recurrent Neural Network/main-gpu.py @@ -16,12 +16,12 @@ num_epochs = 2 learning_rate = 0.003 # MNIST Dataset -train_dataset = dsets.MNIST(root='../data/', +train_dataset = dsets.MNIST(root='./data/', train=True, transform=transforms.ToTensor(), download=True) -test_dataset = dsets.MNIST(root='../data/', +test_dataset = dsets.MNIST(root='./data/', train=False, transform=transforms.ToTensor()) diff --git a/tutorials/07 - Bidirectional Recurrent Neural Network/main.py b/tutorials/07 - Bidirectional Recurrent Neural Network/main.py index 916184b..324bb01 100644 --- a/tutorials/07 - Bidirectional Recurrent Neural Network/main.py +++ b/tutorials/07 - Bidirectional Recurrent Neural Network/main.py @@ -16,12 +16,12 @@ num_epochs = 2 learning_rate = 0.003 # MNIST Dataset -train_dataset = dsets.MNIST(root='../data/', +train_dataset = dsets.MNIST(root='./data/', train=True, transform=transforms.ToTensor(), download=True) -test_dataset = dsets.MNIST(root='../data/', +test_dataset = dsets.MNIST(root='./data/', train=False, transform=transforms.ToTensor())