implemented wandb to classifier
This commit is contained in:
Clemens Dautermann
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8aec5e4d07
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1fe643d464
11 changed files with 630 additions and 7 deletions
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9
wandb/run-20200126_144058-y7pjuj9j/config.yaml
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9
wandb/run-20200126_144058-y7pjuj9j/config.yaml
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|
|
@ -0,0 +1,9 @@
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wandb_version: 1
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_wandb:
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desc: null
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value:
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cli_version: 0.8.22
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framework: torch
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is_jupyter_run: false
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python_version: 3.7.5
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64
wandb/run-20200126_144058-y7pjuj9j/diff.patch
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64
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|
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@ -0,0 +1,64 @@
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diff --git a/mnist_classifier.py b/mnist_classifier.py
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index 8eac991..4578ce3 100644
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--- a/mnist_classifier.py
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+++ b/mnist_classifier.py
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@@ -3,7 +3,10 @@ import torch.nn as nn
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import torch.optim as optim
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import torch.nn.functional as F
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from torchvision import transforms, datasets
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+from tqdm import tqdm
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+import wandb
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+wandb.init(project='pytorch_ai')
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train = datasets.MNIST('./datasets', train=True, download=True,
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transform=transforms.Compose([
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transforms.ToTensor()
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@@ -37,31 +40,32 @@ class Net(nn.Module):
|
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net = Net()
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+wandb.watch(net)
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loss_function = nn.CrossEntropyLoss()
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optimizer = optim.Adam(net.parameters(), lr=0.001)
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-for epoch in range(10): # 3 full passes over the data
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- for data in trainset: # `data` is a batch of data
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+for epoch in range(10): # 10 full passes over the data
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+ for data in tqdm(trainset): # `data` is a batch of data
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X, y = data # X is the batch of features, y is the batch of targets.
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net.zero_grad() # sets gradients to 0 before loss calc. You will do this likely every step.
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output = net(X.view(-1, 784)) # pass in the reshaped batch (recall they are 28x28 atm)
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- loss = F.nll_loss(output, y) # calc and grab the loss value
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+ loss = loss_function(output, y) # calc and grab the loss value
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loss.backward() # apply this loss backwards thru the network's parameters
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optimizer.step() # attempt to optimize weights to account for loss/gradients
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+ wandb.log({'loss': loss})
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- print(loss) # print loss. We hope loss (a measure of wrong-ness) declines!
|
||||
- torch.save(net, './nets/net_' + str(epoch) + ".pt")
|
||||
+ # torch.save(net, './nets/net_' + str(epoch) + ".pt")
|
||||
correct = 0
|
||||
total = 0
|
||||
with torch.no_grad():
|
||||
for data in testset:
|
||||
X, y = data
|
||||
output = net(X.view(-1, 784))
|
||||
- # print(output)
|
||||
for idx, i in enumerate(output):
|
||||
- # print(torch.argmax(i), y[idx])
|
||||
if torch.argmax(i) == y[idx]:
|
||||
correct += 1
|
||||
total += 1
|
||||
+ wandb.log({'test_accuracy': correct / total})
|
||||
print("Accuracy: ", round(correct / total, 3))
|
||||
+ wandb.log({'epoch': epoch})
|
||||
diff --git a/wandb/settings b/wandb/settings
|
||||
index 8dae664..73c329e 100644
|
||||
--- a/wandb/settings
|
||||
+++ b/wandb/settings
|
||||
@@ -1,2 +1,4 @@
|
||||
[default]
|
||||
+project = pytorch_ai
|
||||
+entity = cdautermann
|
||||
|
||||
1
wandb/run-20200126_144058-y7pjuj9j/output.log
Normal file
1
wandb/run-20200126_144058-y7pjuj9j/output.log
Normal file
File diff suppressed because one or more lines are too long
109
wandb/run-20200126_144058-y7pjuj9j/requirements.txt
Normal file
109
wandb/run-20200126_144058-y7pjuj9j/requirements.txt
Normal file
|
|
@ -0,0 +1,109 @@
|
|||
apturl==0.5.2
|
||||
argh==0.26.2
|
||||
asn1crypto==0.24.0
|
||||
bcrypt==3.1.6
|
||||
binwalk==2.1.2
|
||||
blinker==1.4
|
||||
brlapi==0.6.7
|
||||
certifi==2018.8.24
|
||||
chardet==3.0.4
|
||||
click==7.0
|
||||
command-not-found==0.3
|
||||
configparser==4.0.2
|
||||
cryptography==2.6.1
|
||||
cupshelpers==1.0
|
||||
cycler==0.10.0
|
||||
dbus-python==1.2.12
|
||||
decorator==4.3.0
|
||||
defer==1.0.6
|
||||
distro-info==0.21ubuntu4
|
||||
distro==1.3.0
|
||||
docker-pycreds==0.4.0
|
||||
duplicity==0.8.4
|
||||
entrypoints==0.3
|
||||
fasteners==0.12.0
|
||||
future==0.16.0
|
||||
gitdb2==2.0.6
|
||||
gitpython==3.0.5
|
||||
gql==0.2.0
|
||||
graphql-core==1.1
|
||||
httplib2==0.11.3
|
||||
idna==2.6
|
||||
keyring==18.0.1
|
||||
keyrings.alt==3.1.1
|
||||
kiwisolver==1.0.1
|
||||
language-selector==0.1
|
||||
launchpadlib==1.10.7
|
||||
lazr.restfulclient==0.14.2
|
||||
lazr.uri==1.0.3
|
||||
lockfile==0.12.2
|
||||
louis==3.10.0
|
||||
macaroonbakery==1.2.3
|
||||
mako==1.0.7
|
||||
markupsafe==1.1.0
|
||||
matplotlib==3.0.2
|
||||
monotonic==1.5
|
||||
netifaces==0.10.4
|
||||
numpy==1.16.2
|
||||
nvidia-ml-py3==7.352.0
|
||||
oauth==1.0.1
|
||||
oauthlib==2.1.0
|
||||
olefile==0.46
|
||||
paramiko==2.6.0
|
||||
pathtools==0.1.2
|
||||
pexpect==4.6.0
|
||||
pillow==6.1.0
|
||||
pip==18.1
|
||||
promise==2.3
|
||||
protobuf==3.6.1
|
||||
psutil==5.6.7
|
||||
pycairo==1.16.2
|
||||
pycrypto==2.6.1
|
||||
pycups==1.9.73
|
||||
pygments==2.3.1
|
||||
pygobject==3.34.0
|
||||
pyjwt==1.7.0
|
||||
pymacaroons==0.13.0
|
||||
pynacl==1.3.0
|
||||
pyopengl==3.1.0
|
||||
pyparsing==2.2.0
|
||||
pyqt5==5.12.3
|
||||
pyqtgraph==0.11.0.dev0
|
||||
pyrfc3339==1.1
|
||||
python-apt==1.9.0+ubuntu1.3
|
||||
python-dateutil==2.7.3
|
||||
python-debian==0.1.36
|
||||
pytz==2019.2
|
||||
pyxdg==0.25
|
||||
pyyaml==5.1.2
|
||||
reportlab==3.5.23
|
||||
requests-unixsocket==0.1.5
|
||||
requests==2.21.0
|
||||
scipy==1.2.2
|
||||
secretstorage==2.3.1
|
||||
sentry-sdk==0.14.0
|
||||
setuptools==41.1.0
|
||||
shortuuid==0.5.0
|
||||
simplejson==3.16.0
|
||||
sip==4.19.18
|
||||
six==1.12.0
|
||||
smmap2==2.0.5
|
||||
subprocess32==3.5.4
|
||||
system-service==0.3
|
||||
systemd-python==234
|
||||
torch==1.3.1+cpu
|
||||
torchvision==0.4.2+cpu
|
||||
tqdm==4.41.0
|
||||
ubuntu-advantage-tools==19.5
|
||||
ubuntu-drivers-common==0.0.0
|
||||
ufw==0.36
|
||||
unattended-upgrades==0.1
|
||||
urllib3==1.24.1
|
||||
usb-creator==0.3.7
|
||||
virtualenv==15.1.0
|
||||
wadllib==1.3.3
|
||||
wandb==0.8.22
|
||||
watchdog==0.9.0
|
||||
wheel==0.32.3
|
||||
xkit==0.0.0
|
||||
zope.interface==4.3.2
|
||||
2
wandb/run-20200126_144058-y7pjuj9j/wandb-events.jsonl
Normal file
2
wandb/run-20200126_144058-y7pjuj9j/wandb-events.jsonl
Normal file
|
|
@ -0,0 +1,2 @@
|
|||
{"system.cpu": 60.79, "system.memory": 41.35, "system.disk": 8.1, "system.proc.memory.availableMB": 4517.53, "system.proc.memory.rssMB": 174.98, "system.proc.memory.percent": 2.27, "system.proc.cpu.threads": 5.67, "system.network.sent": 316198, "system.network.recv": 232223, "_wandb": true, "_timestamp": 1580049687, "_runtime": 29}
|
||||
{"system.cpu": 38.45, "system.memory": 41.2, "system.disk": 8.1, "system.proc.memory.availableMB": 4528.38, "system.proc.memory.rssMB": 178.53, "system.proc.memory.percent": 2.32, "system.proc.cpu.threads": 6.0, "system.network.sent": 389159, "system.network.recv": 245293, "_wandb": true, "_timestamp": 1580049691, "_runtime": 33}
|
||||
235
wandb/run-20200126_144058-y7pjuj9j/wandb-history.jsonl
Normal file
235
wandb/run-20200126_144058-y7pjuj9j/wandb-history.jsonl
Normal file
File diff suppressed because one or more lines are too long
23
wandb/run-20200126_144058-y7pjuj9j/wandb-metadata.json
Normal file
23
wandb/run-20200126_144058-y7pjuj9j/wandb-metadata.json
Normal file
|
|
@ -0,0 +1,23 @@
|
|||
{
|
||||
"root": "/home/clemens/repositorys/pytorch-ai",
|
||||
"program": "mnist_classifier.py",
|
||||
"git": {
|
||||
"remote": "git@github.com:Clemens-Dautermann/pytorch-ai.git",
|
||||
"commit": "8aec5e4d07a210e412aaea245303788228d5cf72"
|
||||
},
|
||||
"email": "clemens.dautermann@gmail.com",
|
||||
"startedAt": "2020-01-26T14:40:58.218384",
|
||||
"host": "ubuntu-laptop",
|
||||
"username": "clemens",
|
||||
"executable": "/usr/bin/python3",
|
||||
"os": "Linux-5.3.0-26-generic-x86_64-with-Ubuntu-19.10-eoan",
|
||||
"python": "3.7.5",
|
||||
"cpu_count": 2,
|
||||
"args": [],
|
||||
"state": "killed",
|
||||
"jobType": null,
|
||||
"mode": "run",
|
||||
"project": "pytorch_ai",
|
||||
"heartbeatAt": "2020-01-26T14:41:31.740178",
|
||||
"exitcode": 255
|
||||
}
|
||||
1
wandb/run-20200126_144058-y7pjuj9j/wandb-summary.json
Normal file
1
wandb/run-20200126_144058-y7pjuj9j/wandb-summary.json
Normal file
File diff suppressed because one or more lines are too long
|
|
@ -1,2 +1,4 @@
|
|||
[default]
|
||||
project = pytorch_ai
|
||||
entity = cdautermann
|
||||
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue