Pytorch error Illegal instruction (core dumped)
1
I have install pytorch version 0.4.1
I installed it directly with pip without conda, I've also noted the issue is with the binary and from my research on processor incompatibility with C gcc version.
My version of gcc is 7.3.0
And my processor type AMD A8-7410 APU with AMD Radeon R5 Graphics
gcc location.
(data-science) sam@sam-Lenovo-G51-35:~/code/data science projects/pytorch$ which gcc
/usr/bin/gcc
This is how I get my error.
The following code runs...
from torchvision import datasets, transforms
from torch import nn
import torch
import torch.nn.functional as F
# Define a transform to normalize the data
transform = transforms.Compose([transforms.ToTensor(),
transforms.Normalize((0.5, 0.5, 0.5), (0.5, 0.5, 0.5)),
])
# Download and load the training data
trainset = datasets.MNIST('MNIST_data/', download=True, train=True, transform=transform)
trainloader = torch.utils.data.DataLoader(trainset, batch_size=64, shuffle=True)
dataiter = iter(trainloader)
images, labels = dataiter.next()
class Network(nn.Module):
def __init__(self):
super(Network, self).__init__()
# Defining the layers, 128, 64, 10 units each
self.fc1 = nn.Linear(784, 128)
self.fc2 = nn.Linear(128, 64)
# Output layer, 10 units - one for each digit
self.fc3 = nn.Linear(64, 10)
def forward(self, x):
''' Forward pass through the network, returns the output logits '''
x = self.fc1(x)
x = F.relu(x)
x = self.fc2(x)
x = F.relu(x)
x = self.fc3(x)
x = F.softmax(x, dim=1)
return x
# Create the network and look at it's text representation
model = Network()
# print(model.fc1.weight)
# print(model.fc1.bias)
# Set biases to all zeros
model.fc1.bias.data.fill_(0)
# sample from random normal with standard dev = 0.01
model.fc1.weight.data.normal_(std=0.01)
# Grab some data
dataiter = iter(trainloader)
images, labels = dataiter.next()
# Resize images into a 1D vector, new shape is (batch size, color channels, image pixels)
images.resize_(64, 1, 784)
# or images.resize_(images.shape[0], 1, 784) to automatically get batch size
all of this successfully.
But when I run this other line
# Forward pass through the network
img_idx = 0
ps = model.forward(images[img_idx,:])
I get this error
Illegal instruction (core dumped)
python neural-network pytorch
edited Nov 19 '18 at 5:48
Milo Lu
1,60311327
asked Nov 18 '18 at 8:21
Samuel M.Samuel M.
486426
add a comment |
1
I have install pytorch version 0.4.1
I installed it directly with pip without conda, I've also noted the issue is with the binary and from my research on processor incompatibility with C gcc version.
My version of gcc is 7.3.0
And my processor type AMD A8-7410 APU with AMD Radeon R5 Graphics
gcc location.
(data-science) sam@sam-Lenovo-G51-35:~/code/data science projects/pytorch$ which gcc
/usr/bin/gcc
This is how I get my error.
The following code runs...
from torchvision import datasets, transforms
from torch import nn
import torch
import torch.nn.functional as F
# Define a transform to normalize the data
transform = transforms.Compose([transforms.ToTensor(),
transforms.Normalize((0.5, 0.5, 0.5), (0.5, 0.5, 0.5)),
])
# Download and load the training data
trainset = datasets.MNIST('MNIST_data/', download=True, train=True, transform=transform)
trainloader = torch.utils.data.DataLoader(trainset, batch_size=64, shuffle=True)
dataiter = iter(trainloader)
images, labels = dataiter.next()
class Network(nn.Module):
def __init__(self):
super(Network, self).__init__()
# Defining the layers, 128, 64, 10 units each
self.fc1 = nn.Linear(784, 128)
self.fc2 = nn.Linear(128, 64)
# Output layer, 10 units - one for each digit
self.fc3 = nn.Linear(64, 10)
def forward(self, x):
''' Forward pass through the network, returns the output logits '''
x = self.fc1(x)
x = F.relu(x)
x = self.fc2(x)
x = F.relu(x)
x = self.fc3(x)
x = F.softmax(x, dim=1)
return x
# Create the network and look at it's text representation
model = Network()
# print(model.fc1.weight)
# print(model.fc1.bias)
# Set biases to all zeros
model.fc1.bias.data.fill_(0)
# sample from random normal with standard dev = 0.01
model.fc1.weight.data.normal_(std=0.01)
# Grab some data
dataiter = iter(trainloader)
images, labels = dataiter.next()
# Resize images into a 1D vector, new shape is (batch size, color channels, image pixels)
images.resize_(64, 1, 784)
# or images.resize_(images.shape[0], 1, 784) to automatically get batch size
all of this successfully.
But when I run this other line
# Forward pass through the network
img_idx = 0
ps = model.forward(images[img_idx,:])
I get this error
Illegal instruction (core dumped)
python neural-network pytorch
edited Nov 19 '18 at 5:48
Milo Lu
1,60311327
asked Nov 18 '18 at 8:21
Samuel M.Samuel M.
486426
Can you make a new conda environment and reinstall pytorch and test your code, because I have faced similarcore dumpedissue and reinstalling in a fresh environment fixed the issue.
– papabiceps
Nov 19 '18 at 11:42
the thing is I'm not using conda but pip, I want to see if I can do this without using conda if not I'll try it with conda
– Samuel M.
Nov 20 '18 at 7:19
add a comment |
1
1
1
I have install pytorch version 0.4.1
I installed it directly with pip without conda, I've also noted the issue is with the binary and from my research on processor incompatibility with C gcc version.
My version of gcc is 7.3.0
And my processor type AMD A8-7410 APU with AMD Radeon R5 Graphics
gcc location.
(data-science) sam@sam-Lenovo-G51-35:~/code/data science projects/pytorch$ which gcc
/usr/bin/gcc
This is how I get my error.
The following code runs...
from torchvision import datasets, transforms
from torch import nn
import torch
import torch.nn.functional as F
# Define a transform to normalize the data
transform = transforms.Compose([transforms.ToTensor(),
transforms.Normalize((0.5, 0.5, 0.5), (0.5, 0.5, 0.5)),
])
# Download and load the training data
trainset = datasets.MNIST('MNIST_data/', download=True, train=True, transform=transform)
trainloader = torch.utils.data.DataLoader(trainset, batch_size=64, shuffle=True)
dataiter = iter(trainloader)
images, labels = dataiter.next()
class Network(nn.Module):
def __init__(self):
super(Network, self).__init__()
# Defining the layers, 128, 64, 10 units each
self.fc1 = nn.Linear(784, 128)
self.fc2 = nn.Linear(128, 64)
# Output layer, 10 units - one for each digit
self.fc3 = nn.Linear(64, 10)
def forward(self, x):
''' Forward pass through the network, returns the output logits '''
x = self.fc1(x)
x = F.relu(x)
x = self.fc2(x)
x = F.relu(x)
x = self.fc3(x)
x = F.softmax(x, dim=1)
return x
# Create the network and look at it's text representation
model = Network()
# print(model.fc1.weight)
# print(model.fc1.bias)
# Set biases to all zeros
model.fc1.bias.data.fill_(0)
# sample from random normal with standard dev = 0.01
model.fc1.weight.data.normal_(std=0.01)
# Grab some data
dataiter = iter(trainloader)
images, labels = dataiter.next()
# Resize images into a 1D vector, new shape is (batch size, color channels, image pixels)
images.resize_(64, 1, 784)
# or images.resize_(images.shape[0], 1, 784) to automatically get batch size
all of this successfully.
But when I run this other line
# Forward pass through the network
img_idx = 0
ps = model.forward(images[img_idx,:])
I get this error
Illegal instruction (core dumped)
python neural-network pytorch
edited Nov 19 '18 at 5:48
Milo Lu
1,60311327
asked Nov 18 '18 at 8:21
Samuel M.Samuel M.
486426
I have install pytorch version 0.4.1
I installed it directly with pip without conda, I've also noted the issue is with the binary and from my research on processor incompatibility with C gcc version.
My version of gcc is 7.3.0
And my processor type AMD A8-7410 APU with AMD Radeon R5 Graphics
gcc location.
(data-science) sam@sam-Lenovo-G51-35:~/code/data science projects/pytorch$ which gcc
/usr/bin/gcc
This is how I get my error.
The following code runs...
from torchvision import datasets, transforms
from torch import nn
import torch
import torch.nn.functional as F
# Define a transform to normalize the data
transform = transforms.Compose([transforms.ToTensor(),
transforms.Normalize((0.5, 0.5, 0.5), (0.5, 0.5, 0.5)),
])
# Download and load the training data
trainset = datasets.MNIST('MNIST_data/', download=True, train=True, transform=transform)
trainloader = torch.utils.data.DataLoader(trainset, batch_size=64, shuffle=True)
dataiter = iter(trainloader)
images, labels = dataiter.next()
class Network(nn.Module):
def __init__(self):
super(Network, self).__init__()
# Defining the layers, 128, 64, 10 units each
self.fc1 = nn.Linear(784, 128)
self.fc2 = nn.Linear(128, 64)
# Output layer, 10 units - one for each digit
self.fc3 = nn.Linear(64, 10)
def forward(self, x):
''' Forward pass through the network, returns the output logits '''
x = self.fc1(x)
x = F.relu(x)
x = self.fc2(x)
x = F.relu(x)
x = self.fc3(x)
x = F.softmax(x, dim=1)
return x
# Create the network and look at it's text representation
model = Network()
# print(model.fc1.weight)
# print(model.fc1.bias)
# Set biases to all zeros
model.fc1.bias.data.fill_(0)
# sample from random normal with standard dev = 0.01
model.fc1.weight.data.normal_(std=0.01)
# Grab some data
dataiter = iter(trainloader)
images, labels = dataiter.next()
# Resize images into a 1D vector, new shape is (batch size, color channels, image pixels)
images.resize_(64, 1, 784)
# or images.resize_(images.shape[0], 1, 784) to automatically get batch size
all of this successfully.
But when I run this other line
# Forward pass through the network
img_idx = 0
ps = model.forward(images[img_idx,:])
I get this error
Illegal instruction (core dumped)
python neural-network pytorch
python neural-network pytorch
edited Nov 19 '18 at 5:48
Milo Lu
1,60311327
asked Nov 18 '18 at 8:21
Samuel M.Samuel M.
486426
edited Nov 19 '18 at 5:48
Milo Lu
1,60311327
asked Nov 18 '18 at 8:21
Samuel M.Samuel M.
486426
edited Nov 19 '18 at 5:48
Milo Lu
1,60311327
edited Nov 19 '18 at 5:48
Milo Lu
1,60311327
edited Nov 19 '18 at 5:48
Milo Lu
1,60311327
1,60311327
asked Nov 18 '18 at 8:21
Samuel M.Samuel M.
486426
asked Nov 18 '18 at 8:21
Samuel M.Samuel M.
486426
asked Nov 18 '18 at 8:21
Samuel M.Samuel M.
486426
486426
Can you make a new conda environment and reinstall pytorch and test your code, because I have faced similarcore dumpedissue and reinstalling in a fresh environment fixed the issue.
– papabiceps
Nov 19 '18 at 11:42
the thing is I'm not using conda but pip, I want to see if I can do this without using conda if not I'll try it with conda
– Samuel M.
Nov 20 '18 at 7:19
add a comment |
Can you make a new conda environment and reinstall pytorch and test your code, because I have faced similarcore dumpedissue and reinstalling in a fresh environment fixed the issue.
– papabiceps
Nov 19 '18 at 11:42
the thing is I'm not using conda but pip, I want to see if I can do this without using conda if not I'll try it with conda
– Samuel M.
Nov 20 '18 at 7:19
Can you make a new conda environment and reinstall pytorch and test your code, because I have faced similar
core dumped issue and reinstalling in a fresh environment fixed the issue.– papabiceps
Nov 19 '18 at 11:42
Can you make a new conda environment and reinstall pytorch and test your code, because I have faced similar
core dumped issue and reinstalling in a fresh environment fixed the issue.– papabiceps
Nov 19 '18 at 11:42
the thing is I'm not using conda but pip, I want to see if I can do this without using conda if not I'll try it with conda
– Samuel M.
Nov 20 '18 at 7:19
the thing is I'm not using conda but pip, I want to see if I can do this without using conda if not I'll try it with conda
– Samuel M.
Nov 20 '18 at 7:19
add a comment |
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Can you make a new conda environment and reinstall pytorch and test your code, because I have faced similar
core dumpedissue and reinstalling in a fresh environment fixed the issue.– papabiceps
Nov 19 '18 at 11:42
the thing is I'm not using conda but pip, I want to see if I can do this without using conda if not I'll try it with conda
– Samuel M.
Nov 20 '18 at 7:19