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2017-07-11Implementation of Alias Multinomial for faster Multinomial sampling (#1046)Amartya Sanyal
2017-04-29fix cdiv/div unit tests; fix Mac OS X require ffi bug (#1016)Nicholas Léonard
2016-06-13Enable heap tracking by default in torchSam Gross
2016-03-17Revert to pattern matching in isTypeOf()Jonas Gehring
This reverts the "enclosed" class matching introduced in 9c75e57, which broke matching against patterns. In contrast to the original implementation, non-pattern strings are always matched fully against type names to minimize surprises caused by e.g. common prefix.
2016-02-25Replace torch.Tester with totem.Tester + extra stuff.David Saxton
This should bring a lot of benefit to code that uses torch.Tester (totem will eventually become deprecated). Note that torch.Tester and totem.Tester once shared the same code - this change brings it full circle. At a glance, extra functionality includes: - A general equality checker that accepts many different objects. - Deep table comparison with precision checking. - Stricter argument checking in using the test functions. - Better output. - torch.Storage comparison. - Extra features for fine-grained control of testing.
2016-02-20additional typecheck on mtsoumith
2016-02-13replacing include with requirerequireSoumith Chintala
2015-10-17introduced luaT_newlocalmetatable.newlocalmetatableRonan Collobert
allows class creation in a local namespace, while being backward-compatible with luaT_newmetatable.
2015-09-26add lua function to update thread localsthreadlocalKoray Kavukcuoglu
2015-09-05Fix torch.isTypeOf(<string>, ...)Anton Bakhtin
Fix the following cases (they raise error now): torch.isTypeOf("string", "nn.Module") require 'nn'; m = nn.Module() m.name = "module" nn.utils.recursiveType(m, "torch.FloatTensor")
2015-09-02Modified torch.isTypeOf to handle the following:Muhaeb
The following code prints "true", but it should clearly print "false": torch.class("TorchDummy") torch.class("OtherTorchDummy") obj = OtherTorchDummy() =torch.isTypeOf(obj, TorchDummy) Now the function returns true if the type given by the passed-in metatable either equals typeSpec, or ends with ".<typeSpec>". For example, "ab.cd.ef" matches type specs "ef", "cd.ef", and "ab.cd.ef", but not "f" or "d.ef".
2015-07-16Use torch.typename in isTensor and isStorageSam Gross
This supports tensor types that are implemented using cdata. These cdata objects do not have a unique metatable. Their names are available through torch.typename.
2015-05-29Add support for Lua 5.2Sam Gross
Includes aliases to functions deprecated in Lua 5.2, such as math.log10 and unpack, and loadstring
2015-01-27Use rawset for global functionGeorg Ostrovski
2015-01-21torch.totable for Storages and for Tensors.Tim Harley
2014-11-21Fix behaviour of torch.isTensorGeorgOstrovski
In my understanding, torch.isTensor should only return true if the tested object is an actual Tensor, not if it is the table torch.Tensor (or torch.FloatTensor, etc) That means: t = torch.FloatTensor torch.isTensor(t) -- should be false torch.isTensor(t()) -- should be true
2014-10-14Added torch.isTypeOf after discussion with KorayMalcolm Reynolds
2014-07-10lua 5.2 compatTudor Bosman
2014-07-09torch.typenicholas-leonard
2014-04-07added FFI support (storage/tensor cdata/data + apply + map + map2)Ronan Collobert
2014-02-14fixed torch.packageLuaPathLeon Bottou
2012-08-13torch now complies with the new luaT APIRonan Collobert
2012-07-31added global function include() and replaced torch.include calls accordinglyRonan Collobert
2012-02-10moved local path setup into torch-env.luaRonan Collobert
2012-02-10put the local search path before default paths.koray kavukcuoglu
2012-02-10first shot at local installkoray kavukcuoglu
2012-02-04now methods & functions are both generated by wrap -- this fixes some bugs ↵Ronan Collobert
and makes things more clear
2012-02-02no need to do paths.require + require!!Ronan Collobert
2012-01-25initial revamp of torch7 treeRonan Collobert