-1
Simple mnist script fails if adagrad optimizer selected :(unexpected
keyword 'multi_precision'). I expect other optimizers may be similarly?
python example/image-classification/train_mnist.py --gpu -1
--optimizer=adagrad
Connected to pydev debugger (build 172.3544.40)
INFO:root:start with arguments Namespace(add_stn=False, batch_size=64,
disp_batches=100, dtype='float32', gpus='-1', kv_store='device',
load_epoch=None, lr=0.05, lr_factor=0.1, lr_step_epochs='10',
model_prefix=None, mom=0.9, monitor=0, network='mlp', num_classes=10,
num_epochs=20, num_examples=60000, num_layers=None, optimizer='adagrad',
test_io=0, top_k=0, wd=0.0001)
Traceback (most recent call last):
File
"/mnt/Terrace/Apps/clion-2017.1.2/plugins/python/helpers/pydev/pydevd.py",
line 1599, in <module>
globals = debugger.run(setup['file'], None, None, is_module)
File
"/mnt/Terrace/Apps/clion-2017.1.2/plugins/python/helpers/pydev/pydevd.py",
line 1026, in run
pydev_imports.execfile(file, globals, locals) # execute the script
File "example/image-classification/train_mnist.py", line 96, in <module>
fit.fit(args, sym, get_mnist_iter)
File "example/image-classification/common/fit.py", line 207, in fit
monitor = monitor)
File
"/home/local/ANT/coolivie/src/DeepLearning/mxnet/python/mxnet/module/base_module.py",
line 466, in fit
optimizer_params=optimizer_params)
File
"/home/local/ANT/coolivie/src/DeepLearning/mxnet/python/mxnet/module/module.py",
line 507, in init_optimizer
**optimizer_params)
File
"/home/local/ANT/coolivie/src/DeepLearning/mxnet/python/mxnet/optimizer.py",
line 150, in create_optimizer
return Optimizer.opt_registry[name.lower()](**kwargs)
File
"/home/local/ANT/coolivie/src/DeepLearning/mxnet/python/mxnet/optimizer.py",
line 607, in __init__
super(AdaGrad, self).__init__(**kwargs)
TypeError: __init__() got an unexpected keyword argument 'multi_precision'
On Thu, Aug 17, 2017 at 1:57 AM, Joern Kottmann <[email protected]> wrote:
> I downloaded the src distribution file and noticed the following things:
> - There are many LICENSE files, and the top-level file doesn't contain
> all licenses, you should consolidate all those LICENSE files and
> place only one at the top level of the source tree, see here for
> instructions [1].
> - The distribution contains a .DS_Store file
> - The distribution contains the .git folder
>
> Jörn
>
> [1] http://www.apache.org/dev/licensing-howto.html#
> assembling-license-and-notice
>
> On Thu, Aug 17, 2017 at 10:11 AM, Joern Kottmann <[email protected]>
> wrote:
> > The release tag can be found here (and should be included in the vote
> mail):
> > https://github.com/apache/incubator-mxnet/tree/0.11.0.rc2
> >
> > Jörn
> >
> > On Thu, Aug 17, 2017 at 2:38 AM, Meghna Baijal
> > <[email protected]> wrote:
> >> This is the vote to release Apache MXNet (incubating) version 0.11.0.
> >> Voting will start now (Thursday, August 17, 2017 12:37 AM UTC) and
> >> close Monday, August 21, 2017 12:37 AM UTC.
> >>
> >> Link to release notes:
> >> https://cwiki.apache.org/confluence/display/MXNET/v0.11.0+Release+Notes
> <https://cwiki.apache.org/confluence/display/MXNET/v0.11.0+Release+Notes>
> >>
> >> Link to release candidate 0.11.0.rc2:
> >> https://dist.apache.org/repos/dist/dev/incubator/mxnet/0.11.0.rc2/ <
> https://dist.apache.org/repos/dist/dev/incubator/mxnet/0.11.0.rc2/>
> >>
> >> View this page and scroll down to “Build from Source” to build this
> project:
> >> http://mxnet.incubator.apache.org/get_started/install.html <
> http://mxnet.incubator.apache.org/get_started/install.html>
> >>
> >> Changes between rc1 and rc2:
> >> 1. Remove WaitToRead in dist-kvstore
> >>
> >> Major Features in v0.11:
> >> 1. CoreML Converter: https://github.com/apache/
> incubator-mxnet/blob/master/tools/coreml/README.md <
> https://github.com/apache/incubator-mxnet/blob/master/
> tools/coreml/README.md>
> >> 2. Keras 1.2.2 Support: https://github.com/dmlc/keras/wiki/Installation
> <https://github.com/dmlc/keras/wiki/Installation>
> >>
> >>
> >>
> >> Please make sure you TEST before you vote accordingly:
> >>
> >> +1 = approve
> >>
> >> +0 = no opinion
> >>
> >> -1 = disapprove (provide reason)
>
