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3 years ago
!pip install jovian --upgrade --quiet
# Imports
import torch
import torch.tensor as tensor
import torch.nn as nn
import torchvision
from torchvision.datasets import MNIST
import matplotlib.pyplot as plt
%matplotlib inline
# Install the library
!pip install jovian --upgrade --quiet
import jovian
jovian.commit(project='pytorch-1')
[jovian] Attempting to save notebook.. [jovian] Updating notebook "abhimanyusawant3/pytorch-1" on https://jovian.ai [jovian] Uploading notebook.. [jovian] Uploading additional files... [jovian] Committed successfully! https://jovian.ai/abhimanyusawant3/pytorch-1 
'https://jovian.ai/abhimanyusawant3/pytorch-1'
# Download training dataset
dataset = MNIST(root='data/', download=True)
Downloading http://yann.lecun.com/exdb/mnist/train-images-idx3-ubyte.gz to data/MNIST/raw/train-images-idx3-ubyte.gz 
HBox(children=(HTML(value=''), FloatProgress(value=1.0, bar_style='info', layout=Layout(width='20px'), max=1.0…
Extracting data/MNIST/raw/train-images-idx3-ubyte.gz to data/MNIST/raw Downloading http://yann.lecun.com/exdb/mnist/train-labels-idx1-ubyte.gz to data/MNIST/raw/train-labels-idx1-ubyte.gz 
HBox(children=(HTML(value=''), FloatProgress(value=1.0, bar_style='info', layout=Layout(width='20px'), max=1.0…
Extracting data/MNIST/raw/train-labels-idx1-ubyte.gz to data/MNIST/raw Downloading http://yann.lecun.com/exdb/mnist/t10k-images-idx3-ubyte.gz to data/MNIST/raw/t10k-images-idx3-ubyte.gz 
HBox(children=(HTML(value=''), FloatProgress(value=1.0, bar_style='info', layout=Layout(width='20px'), max=1.0…
Extracting data/MNIST/raw/t10k-images-idx3-ubyte.gz to data/MNIST/raw Downloading http://yann.lecun.com/exdb/mnist/t10k-labels-idx1-ubyte.gz to data/MNIST/raw/t10k-labels-idx1-ubyte.gz 
HBox(children=(HTML(value=''), FloatProgress(value=1.0, bar_style='info', layout=Layout(width='20px'), max=1.0…
Extracting data/MNIST/raw/t10k-labels-idx1-ubyte.gz to data/MNIST/raw Processing...
/opt/conda/lib/python3.8/site-packages/torchvision/datasets/mnist.py:480: UserWarning: The given NumPy array is not writeable, and PyTorch does not support non-writeable tensors. This means you can write to the underlying (supposedly non-writeable) NumPy array using the tensor. You may want to copy the array to protect its data or make it writeable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:141.) return torch.from_numpy(parsed.astype(m[2], copy=False)).view(*s)
Done!