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Age	Commit message (Collapse)	Author
2016-07-27	fix for :type() to typecast the children as welltypefix	soumith

2016-07-27	type fix for forwardnodes	Soumith Chintala

2016-06-07	Quick fix for type. (#118)	Jonathan Tompson

2016-04-28	Add :replace() for gModule	Adam Paszke

2016-04-24	Returning the module's type to conform to torch/nn#691	Rohan Padhye

2016-03-09	Improved error message (expecting table of inputs)	Marek
	I think a better error message. Currently if I pass in 2 comma separated inputs the error is: "Error, expecting 2 inputs". After this change it will be "Error, expecting table of 2 inputs.".
2016-03-08	Merge pull request #103 from fbesse/gradoutput_zero_optim	Soumith Chintala
	Added optimisation to bypass the buffer allocation when all but one g…
2016-03-03	Clear tensors in a whole graph on :clearState()	Adam Paszke

2016-02-16	Added optimisation to bypass the buffer allocation when all but one ↵	Frederic Besse
	gradOutput are zero one-element tensors.
2016-02-13	include and paths.dofile -> requirerequire	Soumith Chintala

2016-01-25	Merge pull request #98 from malcolmreynolds/remove_zeroing_optimisation	koray kavukcuoglu
	Don't bother filling a Tensor with zero right before we copy into it
2016-01-25	Don't bother filling a Tensor with zero right before we copy into it	Malcolm Reynolds

2016-01-20	Store a reverse mapping when wiring together graph, detect unused nodes.	Malcolm Reynolds
	The connectivity checking code was previously unable to detect the following error case: local input = nn.Identity()() local usedOutput = nn.Linear(20, 10)(input) local unusedOutput = nn.Linear(20, 10)(input) local gmod = nn.gModule({input}, {usedOutput}) With this fix, when gModule is called it will throw an error, because of unusedOutput. This is a backwards incompatible change, but I feel that the current flexibility is error prone, and I can't see any advantage to it. We have flushed out a couple of bugs in internal code with this change.
2015-11-20	Fix for Lua 5.2+ which removed table.maxn	Malcolm Reynolds

2015-11-19	Make error messages clearer, disallow empty table in inputs.	Malcolm Reynolds
	This is intended to address the common class of errors I see where people make a mistake connecting up their modules, but the error message is either unclear, or doesn't point towards where the mistake actually is. The 'what is this in the input' is now explicit about what the problem is, and if people pass in a nn.Module (meaning they probably forgot a set of parentheses) instead of a nngraph.Node, we say this explicitly. The '1 of split(2) outputs unused' (which previously provided no information about which split was incorrect) now includes file / line number of both the place where the Node was constructed, and the place where :split() was called. Hopefully this should reduce debugging time drastically. Finally, I have disallow passing an empty table as the input connections, ie 'nn.Identity()({})' will error. I cannot see a use case for this (if you have no input connections, just leave the second parens empty). The risk of this is when people do 'nn.Identity()({variableWithTypo})', thinking they have made a connection but actually they haven't. This is likely to cause errors much later on, whereas with this commit it errors straight away. This could break existing code, but theres an easy to apply fix that needs to be done at each callsite. Koray has approved this restriction to the API, but I appreciate others may have a view here..
2015-10-16	Initialize modules table after read if necessary.	Dominik Grewe

2015-10-16	Use nn.Container as base class for gModule	Andreas Köpf
	Added modules to container in ctor, removed redundant methods training(), evaluate(), share(), zeroGradParameters(), parameters(), clone() which are now provided by the base classes (nn.gModule -> nn.Container -> nn.Module).
2015-10-14	Adding a :applyToModules() method to gModule, and :training() and ↵	Yori Zwols
	:evaluate() should be applied 'self' as well.
2015-10-01	Integrate apply() and type() improvements from ↵	Adam Lerer
	https://github.com/torch/nn/pull/303
2015-09-11	make sure forward/backward runs can deal with parameter nodes since theynnop	Koray Kavukcuoglu
	do not have any inputs coming in. add a display function that does not use qt, but browser
2015-09-11	support for parameter nodes	koray kavukcuoglu

2015-09-07	Replace utils.istensor with torch.isTensor.	Dan Horgan
	torch.isTensor is more precise.
2015-09-04	Whitespace cleanup.	Clement Farabet

2015-07-23	Added an assert to check the number of inputs to a split.	Ivo Danihelka

2015-07-10	convert node.data.gradOutputBuffer on type change	Hugh Perkins

2015-06-16	adding share,map,clone	soumith

2015-06-09	Added share function for gModule	Xiang Zhang

2015-05-20	Checked that gModule inputs and outputs are Nodes.	Ivo Danihelka

2015-03-27	Added __tostring__ to gModule.	Ivo Danihelka

2015-03-12	Include all data in type conversion when type() is called on an nn.gModule	Yori Zwols

2015-02-24	This makes gModules behave consistently with nn.Modules and nn.Container, ↵	etg
	and solves the issues of trying to change the behaviour of layers like nn.Dropout which may be in nested gModules.
2014-02-17	Replaced bfs() usage by iterating over the forwardnodes.	Ivo Danihelka

2014-02-13	Merge pull request #20 from fidlej/topic_mapindex_label	koray kavukcuoglu
	Displayed the node ids of the input nodes in the mapindex
2014-02-12	Added backward compatibity for graph with no self.nInputs.	Ivo Danihelka

2014-02-12	Displayed the node ids of the input nodes in the mapindex.	Ivo Danihelka

2014-02-10	Checked that no split output is unused.	Ivo Danihelka

2013-09-17	Checked unused inputs.0.1	Ivo Danihelka

2013-09-01	Ensured the needed gradOutputBuffer size.	Ivo Danihelka

2013-09-01	Allowed the gradInputs to be tables with tensors.	Ivo Danihelka

2013-07-30	Added gModule:zeroGradParameters	Andreas Fidjeland

2013-07-26	Implemented custom gModule:type().	Ivo Danihelka

2013-07-19	Disallowed to split a tensor.	Ivo Danihelka

2013-07-18	Mentioned the used data structures.	Ivo Danihelka

2013-07-18	Used split on innode.	Ivo Danihelka

2013-07-18	Removed the partial support for nn.Criterion. Wrap the criterion by a module ↵	Ivo Danihelka
	instead.
2013-07-18	Removed the ignoring of weird nodes.	Ivo Danihelka

2013-07-17	Reused the computed gradOutputBuffer.	Ivo Danihelka

2013-07-17	Clarified the meaning of innode.data.gradOutput.	Ivo Danihelka

2013-07-17	Kept only gradients to sum inside of the data.gradOutput.	Ivo Danihelka

2013-07-17	Used common code to get the gradOutput.	Ivo Danihelka