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https://issues.apache.org/jira/browse/SINGA-369?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16476937#comment-16476937
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SHEYUJIAN edited comment on SINGA-369 at 5/16/18 6:52 AM:
----------------------------------------------------------
2.Imagenet
a.googlenet
After download the parameter checkpoint file, use $ python serve.py -C to run
the program and use $ curl -i -F [email protected] http://localhost:9999/api to
submit image.
Here we can get intialization done but have a check failure:
total num of params 116
End intialization............
WARNING: Logging before InitGoogleLogging() is written to STDERR
F0516 14:02:43.203186 2490057600 common.h:70] Check failed: initialized_ Must
initialize data before reading it
*** Check failure stack trace: ***
Abort trap: 6
b.Inception
after getting the parameter checkpoint file,I use $ python serve.py -C to run
the program, then get an error:
Traceback (most recent call last):
File "serve.py", line 17, in <module>
import model
ImportError: No module named model
Here I change import model to import inception_v4 as model
and run again and submit the image.
then it can finish initialization but:
Traceback (most recent call last):
File "serve.py", line 72, in serve
y = net.predict(x)
File
"/Users/sheyujian/anaconda3/envs/a/lib/python2.7/site-packages/singa/net.py",
line 249, in predict
return tensor.softmax(xx)
File
"/Users/sheyujian/anaconda3/envs/a/lib/python2.7/site-packages/singa/tensor.py",
line 783, in softmax
return _call_singa_func(singa.SoftMax, t.singa_tensor)
AttributeError: 'dict' object has no attribute 'singa_tensor'
3.resnet
After use $ python serve.py --use_cpu --parameter_file resnet-18.pickle --model
resnet --depth 18 to run the program and submit the image, we can finish
loading models but get:
Finish loading models
input: 1.01205956936
WARNING: Logging before InitGoogleLogging() is written to STDERR
F0516 14:39:20.944815 2490057600 common.h:70] Check failed: initialized_ Must
initialize data before reading it
*** Check failure stack trace: ***
Abort trap: 6
4.vgg
Firstly, there is one problem in the instruction:
here we can change $ python serve.py --use_cpu --parameter_file vgg11.pickle
--depth 11 --use_cpu to $ python serve.py --use_cpu --parameter_file
vgg11.pickle --depth 11 to use cpu run the program.
Then after submitting the image, we get the error:
Finish loading models
('input: ', 1.1942412853240967)
Traceback (most recent call last):
File "serve.py", line 70, in serve
y = net.predict(images)
File
"/Users/sheyujian/anaconda3/envs/a/lib/python2.7/site-packages/singa/net.py",
line 249, in predict
return tensor.softmax(xx)
File
"/Users/sheyujian/anaconda3/envs/a/lib/python2.7/site-packages/singa/tensor.py",
line 783, in softmax
return _call_singa_func(singa.SoftMax, t.singa_tensor)
AttributeError: 'Tensor' object has no attribute 'singa_tensor'
was (Author: sheyujian):
2.Imagenet
a.googlenet
After download the parameter checkpoint file, use $ python serve.py -C to run
the program and use $ curl -i -F [email protected] http://localhost:9999/api to
submit image.
Here we can get intialization done but have a check failure:
total num of params 116
End intialization............
WARNING: Logging before InitGoogleLogging() is written to STDERR
F0516 14:02:43.203186 2490057600 common.h:70] Check failed: initialized_ Must
initialize data before reading it
*** Check failure stack trace: ***
Abort trap: 6
b.Inception
after getting the parameter checkpoint file,I use $ python serve.py -C to run
the program, then get an error:
Traceback (most recent call last):
File "serve.py", line 17, in <module>
import model
ImportError: No module named model
Here I change import model to import inception_v4 as model
and run again and submit the image.
then it can finish initialization but:
Traceback (most recent call last):
File "serve.py", line 72, in serve
y = net.predict(x)
File
"/Users/sheyujian/anaconda3/envs/a/lib/python2.7/site-packages/singa/net.py",
line 249, in predict
return tensor.softmax(xx)
File
"/Users/sheyujian/anaconda3/envs/a/lib/python2.7/site-packages/singa/tensor.py",
line 783, in softmax
return _call_singa_func(singa.SoftMax, t.singa_tensor)
AttributeError: 'dict' object has no attribute 'singa_tensor'
3.resnet
After use $ python serve.py --use_cpu --parameter_file resnet-18.pickle --model
resnet --depth 18 to run the program and submit the image, we can finish
loading models but get:
Finish loading models
input: 1.01205956936
WARNING: Logging before InitGoogleLogging() is written to STDERR
F0516 14:39:20.944815 2490057600 common.h:70] Check failed: initialized_ Must
initialize data before reading it
*** Check failure stack trace: ***
Abort trap: 6
4.vgg
Firstly, there is one problem in the instruction:
here we can change $ python serve.py --use_cpu --parameter_file vgg11.pickle
--depth 11 --use_cpu to $ python serve.py --use_cpu --parameter_file
vgg11.pickle --depth 11 to use cpu run the program.
Then after submitting the image, we get the error:
Finish loading models
('input: ', 1.1942412853240967)
Traceback (most recent call last):
File "serve.py", line 70, in serve
y = net.predict(images)
File
"/Users/sheyujian/anaconda3/envs/a/lib/python2.7/site-packages/singa/net.py",
line 249, in predict
return tensor.softmax(xx)
File
"/Users/sheyujian/anaconda3/envs/a/lib/python2.7/site-packages/singa/tensor.py",
line 783, in softmax
return _call_singa_func(singa.SoftMax, t.singa_tensor)
AttributeError: 'Tensor' object has no attribute 'singa_tensor'
> the errors of examples in testing
> ---------------------------------
>
> Key: SINGA-369
> URL: https://issues.apache.org/jira/browse/SINGA-369
> Project: Singa
> Issue Type: Bug
> Environment: SINGA Version: osx-64/singa-1.1.1-py27_cpu
> OS: Mac OS 10.13.4
> Reporter: SHEYUJIAN
> Priority: Major
>
> 1.Cifar10
> After getting data from Cifar-10 dataset
> I use python train.py vgg cifar-10-batches-py --use_cpu to train in cpu
> and get an error:
> Traceback (most recent call last):
> File "train.py", line 42, in <module>
> import alexnet
> ImportError: No module named alexnet
> Here I comment the line: #import alexnet
> and then have a new error:
> Traceback (most recent call last):
> File "train.py", line 212, in <module>
> use_cpu=args.use_cpu)
> File "train.py", line 156, in train
> grads, (l, a) = net.train(tx, ty)
> File
> "/Users/sheyujian/anaconda3/envs/a/lib/python2.7/site-packages/singa/net.py",
> line 185, in train
> return backprob(x, y)
> NameError: global name 'backprob' is not defined
> After revising the return backprob(x,y) in line 185 to return
> self.backprob(x, y), get:
> Start intialization............
> Using CPU
> Epoch 0
> -->conv1_1_1: 0.252035
> WARNING: Logging before InitGoogleLogging() is written to STDERR
> F0516 13:19:27.929081 2490057600 batchnorm.cc:100] Trainning
> SpatialBatchNormalization has not been implemented yet...
> *** Check failure stack trace: ***
> Abort trap: 6
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