I am new to deep learning and trying to implement code written here
http://r2rt.com/recurrent-neural-networks-in-tensorflow-i.html.
I am trying to implement same code but I am getting error
no module name basic_rnn
while importing basic_rnn as written in the code:
import basic_rnn
def plot_learning_curve(num_steps, state_size=4, epochs=1):
global losses, total_loss, final_state, train_step, x, y, init_state
tf.reset_default_graph()
g = tf.get_default_graph()
losses, total_loss, final_state, train_step, x, y, init_state = \
basic_rnn.setup_graph(g,basic_rnn.RNN_config(num_steps=num_steps, state_size=state_size))
res = train_network(epochs, num_steps, state_size=state_size, verbose=False)
plt.plot(res)
then I changed basic_rnn = tf.contrib.rnn.BasicRNNCell,
then I am getting error
'module' object has no attribute 'setup_graph'.
I am assuming I will again get error in while implementing basic_rnn.RNN_config.
What would be the correct syntax?
I am using tensorflow of version 1.0.0
pls help
You can look at the gist code provided by the author, r2rt:
https://gist.github.com/anonymous/5fc9903990ecec5f09361934920bb999. Though you need to tweak the code a bit to get it run.
Basically, you need to implement the setuo_graph and RNN_config functions in basic_rnn.py. But since there are three versions of RNNs that the original blog is comparing, I think it would be better if you put RNN_config in one Python file.
Besides, I found some of r2rt's code is deprecated, so I adapted the code and created my own repo. Check it out if you are interested:
https://github.com/innerfirexy/rnn-tf-r2rt
You can run the code in run_RNNs.py in IPython. I changed the gist code a bit by moving the RNN_config function to train.py, and giving train_network a config parameter.
Related
I am trying to use 'drop_all' after service test fails or finishes on flask app layer:
#pytest.fixture(scope='class')
def db_connection():
db_url = TestConfig.db_url
db = SQLAlchemyORM(db_url)
db.create_all(True)
yield db_connection
db.drop_all()
When some test passes the 'drop_all' works, but when it fails the test freezes.
So, that solution solves my problem:
https://stackoverflow.com/a/44437760/3050042
Unfortunately, I got a mess with that.
When I use the 'Session.close_all()' SQLAlchemy warns:
The Session.close_all() method is deprecated and will be removed in a future release. Please refer to session.close_all_sessions().
When I change to the suggestion:
AttributeError: 'scoped_session' object has no attribute 'close_all_sessions'
Yes, I use scoped_session and pure SQLAlchemy.
How to solve this?
The close_all_sessions function is defined at the top level of sqlalchemy.orm.session. At the time of writing this answer, here is how it looks. Thus, you can use it as follows.
from sqlalchemy.orm.session import close_all_sessions
close_all_sessions()
Full disclosure, I asked this same question on the PyTorch forums about a few days ago and got no reply, so this is technically a repost, but I believe it's still a good question, because I've been unable to find an answer anywhere online. Here goes:
Can you show an example of using register_module with a custom module?
The only examples I’ve found online are registering linear layers or convolutional layers as the submodules.
I tried to write my own module and register it with another module and I couldn’t get it to work.
My IDE is telling me no instance of overloaded function "MyModel::register_module" matches the argument list -- argument types are: (const char [14], TreeEmbedding)
(TreeEmbedding is the name of another struct I made which extends torch::nn::Module.)
Am I missing something? An example of this would be very helpful.
Edit: Additional context follows below.
I have a header file "model.h" which contains the following:
struct TreeEmbedding : torch::nn::Module {
TreeEmbedding();
torch::Tensor forward(Graph tree);
};
struct MyModel : torch::nn::Module{
size_t embeddingSize;
TreeEmbedding treeEmbedding;
MyModel(size_t embeddingSize=10);
torch::Tensor forward(std::vector<Graph> clauses, std::vector<Graph> contexts);
};
I also have a cpp file "model.cpp" which contains the following:
MyModel::MyModel(size_t embeddingSize) :
embeddingSize(embeddingSize)
{
treeEmbedding = register_module("treeEmbedding", TreeEmbedding{});
}
This setup still has the same error as above. The code in the documentation does work (using built-in components like linear layers), but using a custom module does not. After tracking down torch::nn::Linear, it looks as though that is a ModuleHolder (Whatever that is...)
Thanks,
Jack
I will accept a better answer if anyone can provide more details, but just in case anyone's wondering, I thought I would put up the little information I was able to find:
register_module takes in a string as its first argument and its second argument can either be a ModuleHolder (I don't know what this is...) or alternatively it can be a shared_ptr to your module. So here's my example:
treeEmbedding = register_module<TreeEmbedding>("treeEmbedding", make_shared<TreeEmbedding>());
This seemed to work for me so far.
I have an App made using Qt4 Designer which inserts a matplotlib figure into a container widget.
The code to generate the figure comes from another module, obspy:
self.st.plot(fig = self.rawDataPlot)
https://docs.obspy.org/packages/autogen/obspy.core.stream.Stream.plot.html
Normally, this would create and show a matplotlib figure for the st object's data, which is time-series. When the fig parameter is specified this tells self.st.plot to plot to an existing matplotlib figure instance.
The code I have to generate the figure and then position it in my GUI widget is:
def addmpl(self, fig, layout, window): # code to add mpl figure to Qt4 widget
self.canvas = FigureCanvas(fig)
layout.addWidget(self.canvas)
self.canvas.draw()
self.toolbar = NavigationToolbar(self.canvas,
window, coordinates=True)
layout.addWidget(self.toolbar)
self.rawDataPlot = plt.figure() # code to create a mpl figure instance
self.st.plot(fig = self.rawDataPlot) # plot time-series data to existing matplotlib figure instance
self.addmpl(self.rawDataPlot, self.mplvl, self.mplwindow) # add mpl figure to Qt4 widget
What I want to do is instantiate a matplot figure (for use by self.st.plot) but in a way which avoids using plt.figure(), as I have read that this is bad practice when using object-oriented programming.
If I replace plt.figure() with Figure() (from matplotlib.figure.Figure()) I get an error:
AttributeError: 'NoneType' object has no attribute 'draw'
As it stands, the App runs fine if I use plt.figure(), but is there a clean way to avoid using is and is it even necessary for my case?
PS, the code snippets here are taken from a larger source, but I think it gets the point across..
In principle both methods should work.
Whether you set self.rawDataPlot = plt.figure() or self.rawDataPlot = Figure() does not make a huge difference, assuming the imports are correct.
So the error is most probably triggered within the self.st.plot() function. (In general, if you report errors, append the traceback.)
Looking at the source of obspy.core.stream.Stream.plot there is a keyword argument
:param draw: If True, the figure canvas is explicitly re-drawn, which
ensures that existing figures are fresh. It makes no difference
for figures that are not yet visible.
Defaults to True.
That means that apparently the plot function tries to draw the canvas, which in the case of providing a Figure() hasn't yet been set.
A good guess would therfore be to call
self.rawDataPlot = Figure()
self.st.plot(fig = self.rawDataPlot, draw=False)
and see if the problem persists.
I am facing a weird error within my codebase currently. You can see the full ZF2s project code on my github right here. <- there's a link
I'm having a Module set up with two Entities (X and Y). Entity_X contains a reference to Entity_Y via (targetEntity="Entity_Y"). The Error persist with the FQCN or just the CN itself.
Entity_X:
id int PK,
id_Y int FK,
text varchar
Entity_Y:
id int PK,
text varchar
When loading Entity_Y first and then Entity_X everything is working fine. This remains true for both StandardAutoloader and ClassMapAutoloader. However: when loading Entity_X first with ClassMapAutoloader present, i will be seeing the following error:
Fatal error: Cannot redeclare class Kennzahlen\Entity\Referenzwert (Entity_Y)
in \module\Kennzahlen\src\Kennzahlen\Entity\Referenzwert.php
on line 13
Loading Entity_X first with StandardAutoloader works without any problems, too.
Update
The Problem appears to be within ZF2s ClassMapAutoloader (or Autoloading-Mechanism in General). My Module used the ClassMapAutoloader and using this i've gotten the above mentioned error. When removing the ClassMapAutoloader and simply using the StandardAutoloader, the error vanished into thin air. Thanks to #ocramius and all others i've botheres with this :)
I'm writing a failing test case to try and solve this in doctrine/common. The problem seems to be that silent autoloaders (as explained by #Xerkus) are not compatible with doctrine/common itself. To solve that, use a StandardAutoloader from ZF2 (or from composer) instead of using the ClassMapAutoloader. This will solve the issue until a patch is ready.
Update: patch is being suggested at doctrine/common#216
i have no knowledge of doctrine, but i browsed through source and i think i found issue:
https://github.com/doctrine/common/blob/master/lib/Doctrine/Common/ClassLoader.php#L224
here, this code expects that autoloader will return value evaluated to true, but that is not requirement of spl autoload mechanism, therefore autoloader can return NULL,
To check if i am correct, in in your project in doctrine replace line 224 in Doctrine/Common/ClassLoader.php
} else if ($loader[0]->{$loader[1]}($className)) {
with
} else if ($loader[0]->{$loader[1]}($className) && class_exists($className, false)) {
Ans see if issue is fixed, if i am correct - then report bug to doctrine project
So I'm trying to make use of a GtkSourceView in C++ using GtkSourceViewmm, whose documentation and level of support give me the impression that it hasn't been very carefully looked at in a long time. But I'm always an optimist :)
I'm trying to add a SourceView using some code similar to the following:
Glib::RefPtr<gtksourceview::SourceLanguageManager> source_language_manager = gtksourceview::SourceLanguageManager::create();
Glib::RefPtr<gtksourceview::SourceLanguage> source_language = Glib::wrap(gtk_source_language_manager_guess_language(source_language_manager->gobj(), file, NULL));
Glib::RefPtr<gtksourceview::SourceBuffer> source_buffer = gtksourceview::SourceBuffer::create(source_language);
gtksourceview::SourceView* = m_source_view = new gtksourceview::SourceView(source_buffer);
m_vbox.pack_start(*m_source_view);
Unfortunately, it spits out the warning
(algoviz:4992): glibmm-WARNING **:
Failed to wrap object of type
'GtkSourceLanguage'. Hint: this error
is commonly caused by failing to call
a library init() function.
and when I look at it in a debugger, indeed the second line above (the one with the Glib::wrap()) is returning NULL. I have no idea why this is, but I tried to heed the warning by adding Glib::init() to the begining of the program, but that didn't seem to help at all either.
I've tried Google'ing around, but have been unsuccessful. Does anyone know what Glib wants me to init in order to be able to make that wrap call? Or, even better, does anyone know of any working sample code that uses GtkSourceViewmm (not just regular GtkSourceView)? I haven't been able to find any actual sample code, not even on Google Code Search.
Thanks!
It turns out, perhaps not surprisingly, that what I needed to init was:
gtksourceview::init();
After this, I ran into another problem with one of the parameter to gtksourceview::SourceLanguageManager, but this was caused by a genuine bug which I subsequently reported and was promptly fixed. So everything's working great now!
I use gtkmm. Typically you have to initialize things with something like :
_GTKMain = new Gtk::Main(0, 0, false);
Of course do not forget :
delete _GTKMain;
Check here for details :
http://library.gnome.org/devel/gtkmm/2.19/classGtk_1_1Main.html
(Sorry but the link option does not work ...)