This is an automated email from the ASF dual-hosted git repository. cmeier pushed a change to branch master in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git.
from e41faf0 [MXNET-908] Speed up travis builds to avoid timeouts (#12706) add 6568864 initial empty commit add 1b1dcf9 MXNet.jl generated files. add 3e0abce MXNet.jl regenerated files. add e25bf7e basic API testing, create NDArray add 11029be a placeholder README add d7f011c move gc to handle finalizer add 28531c8 define binary dn array functions add e426493 copy ndarray to cpu for debuggin add 0062c9d define unary ndarray functions add 0ee41be use a prefix instead of submodule for dynamically imported functions add f3184ad a more general way of defining mx imported functions add e3a4119 only the generic way of defining function is enough add 5ed258f common array-like interface functions add 59dcb7e inplace operator for + add 678f6f2 basic test for ndarray add 525c5b2 comment out release testing until v0.4 is released add e0a0bbe fix copy from and to CPU add 6294c93 ndarray plus and minus unit-tests add d6a1367 use more meaningful name for sub! and add! add d33dff8 assignment operator for NDArray add b2acdc7 test ndarray elem-wise mul add 4667583 unittest ndarray div add 12ca85a require julia v0.4 to run add 65cc788 basic symbol type add 4170e37 possibility to add dynamic doc string to imported functions add 6490928 try setting up travis CI add 573eedd fix travis script add b1ca062 more fix for travis script add 7a66ef4 enable osx build on travis add b22c83f fix build script add f9b88b0 fix typo add bdd798a properly switch directory add 7713589 fix sed option add 8950df5 disable openmp for osx build add 694f0bb add badges add efb0b90 clean up built script add 7626fe7 list symbol creator functions add 627a8e5 name manager add 5fea004 symbol constructor add ce68e59 symbol basic test add 8701e0a symbol test_internal add 320706f symbol test_compose add 631a965 test infer shape add fca4789 test infer_shape with error add c05e6a5 try out julia v0.4 precompilation add dd1922d executor add 0a04f25 executor bind forward add 2074d12 executor backward add 6dc48bb simple_bind add 9dd26e5 random module add 357a105 default initializers add f3e4e95 non-unicode name for initializer parameters add 7f35875 make clear the meaning of row-major vs. column-major in array conversion add 23c14fc check writable bit in NDArrays add 7481dab untested io.jl add 956a220 unittest MNIST data provider add 3113256 kvstore init / push / pull add 8e4102f kvstore test aggregration add 48a2b20 eval metric add dd02638 shape should be translated between Julia<->C in infer_shape add d061a18 optimizer and estimator add 8a0a43b fix initializers add 92ec499 fix executor add 8c0e465 bug fix add 614de3a mnist mlp example add 61fa00c lenet example (not tested) add 383fd98 fix kvstore closure add 7f8612e cifar10 example (pushing to GPU server for testing) add edf0871 working cifar10 example add aa18e98 basic doc building setup add ff055b5 test rtd hook add 4a25b00 add rtd badge add 34a1c89 use rtd theme add 4eff47d fix some doc markdown formatting add d13ddc6 clean up Context add 70579c4 use light-weighted mkdocs for documentation instead add 0257055 one-sentence readme. add 1eb7ebc use osx.mk to simplify travis OSX build add 9223721 clean up CI build script add 2c945ea docstring for imported symbols add 1da331c installation guide (or what we wanted to be...) add 684bad2 part of overview add df6613d shape inference doc add 4ac5e7b allow keyword arguments in bind. add af56456 part of the doc on NDArrays add cf9a06a getindex operator for NDArray add 3a26544 ndarray doc add 0c3d066 API variable -> Variable; group -> Group add 9665cb1 update doc: variable -> Variable add 210aba8 add libmxnet.dll into library search list add 478568c doc for mnist add d15bc77 add mx.chain macro add e9088f5 rename init.jl -> base.jl add bed3a02 refactor optimizer options add a75a8ef simplify mnist mlp example add 43b2486 clean up lenet example add 02e4af3 hygiene in chain macro add 1fb4946 use @chain in lenet example. add 3548a5f lenet tutorial add 7c43f2c update readme. add 3b43bcb first version of deps/build.jl that is not working b/c opencv add e77fdd0 default building without opencv. add 263e602 update install guide add 7934f67 add release notes for v0.0.1 add 0a32996 fix build script (don't exit Julia) add 48f4230 update news for bugfix v0.0.2 add 119fac1 update kvstore doc. add d738fba NDArray save and load API add 4e5e152 gradient clipping add 9d138da save and load for symbol add 30f89a8 unit test for symbol save and load add 7e86c8f improve defstruct macro add 00bd457 callback interface add 06879c6 fix estimator API add f551c91 add speedometer to cifar10 add cb067c3 fix speedometer add f7d7ce3 save checkpoints in callbacks add 5ea6b8c array iterator and (part of) the unittest add b4cc05c more test on array data iterator add 2c9d9ae more tests on array data provider add eb84402 test shuffling of array data provider add 1538340 rename estimator -> model add dc8ca18 fix README example add 2a2b425 Merge pull request #6 from yeesian/patch-1 add 6d87215 Merge branch 'master' of git://github.com/dmlc/MXNet.jl add 28791db use joinpath in README add 1baeabc expose init_model API add 7fa1511 model predict API and demo add bb4620e model checkpoint loading add f8a01bf allow callbacks in predict add 0f632cc add pretrained Inception model add 5bcd859 add example using pre-trained model to do prediction. add 5a80bf3 fix #8, more informative error when libmxnet not found add 8bb82e4 use sphinx as documentation system add bcc90ef switch from mkdocs to sphinx add 8d56a9f a dead simple embedded sphinx doc system (cf #3) add f1f869f API document for NDArrays add ac39fd6 libmxnet API for ndarrays add e7ec661 automatic build API for symbols add 9c87c61 fix mal-formatted param type in sphinx syntax add 091c234 add title to symbol doc page add 54e621e prepare for v0.0.3 add cadee3a better type annotation in docs. add 1b62ddf more docs. add d19f28f docs for built-in callbacks add c051c2a fixed joinpath problem in example in README.md add de566eb Merge pull request #9 from cbecker/master add 0132f19 added ADAM SGD add c29e18a Merge pull request #10 from cbecker/master add 6e0c5c7 some doc for symbol add 762c45e refactoring and naming convention dmlc/mxnet#407 add a2beae8 refactoring of optimizer add fe36340 refactor adam optimizer add 1f39e1d more learning rate scheduler add e821f95 update equation in sphinx doc add 04bde14 fix accidental notebook changes add 1dc944e first step of refining the data provider API. add 49a5acb import doc of built-in data provider. add 76fee6b refine mxdataiter api add 5e03d27 fix unittest for new data IO api add ceaa3eb fix mlp example to use the updated data io API add 993be59 simplify model a bit with data IO api add f30aedc part of the executor API doc add 388e91d fix mnist doc links add 319c5f3 rename Softmax -> SoftmaxOutput (mxnet/mxnet#434) add 6389094 update doc Softmax -> SoftmaxOutput (dmlc/mxnet#434) add c1d663d run mlp.jl on travis CI add 922fc85 Reenable 0.4 testing. add 4acbce9 Add coverage. add ebb573a Merge pull request #13 from invenia/coverage add 3d447a4 Merge branch 'master' of git://github.com/dmlc/MXNet.jl add b1e882b fix env variable for detecting Travis CI add f823510 only run 1 epoch for MNIST on travis CI add 23378f1 fix error due to API changes of subarray in Julia nightly add d26c36b a specific mlp script for Travis CI regression test. add 1786bdb wrap mnist test into a module add 3bf4364 fix travis test error add d0dadad pull-back only when update_on_kvstore add 75b3e68 SVMLight Data Provider add f6cbba1 add description of SVMLight Provider add 0f22cfa add readme for plugins add 726badd update doc for updated data iter API add 7ed591d add libatlas-base for cblas add 7e89a78 Merge pull request #17 from vchuravy/vc/travis add ee855ec fix cifar10 example add 8486b97 Merge branch 'master' of git://github.com/dmlc/MXNet.jl add 637bf0c avoid calling mxdataiter reset add ee0583f remove unused variable add 315c1a4 simplify a bit io test add 722eb36 fix array data iter provide size not properly reported (see #14) add 189e755 prepare for v0.0.4 add 76261c7 refactoring: Symbol -> Node add 955b6d2 refactor: Node -> SymbolicNode add aab8784 upate doc for refactoring add c13f88f add nn-factory add 3bc475a add doc for nn factory add 41c20ae fix travis CI build error due to refactoring add 3e8627d document clean up add be8cbda more test for IO add b49dc62 update doc (Symbol -> SymbolicNode) add 591871c add doc for metrics add 2b85c9c share NDArray data with Julia Array. add 2055727 nd_as_jl macro add ea90b55 use nd_as_jl to re-write accuracy add b5c0d96 reformultate accuracy with multi_output in mind add 8322b63 Calculate accuracy based on size of pred. add c300971 remove sub from accuracy add d51d2af add comments for accuracy and rebuild docs add 7947313 Merge pull request #23 from vchuravy/vc/multiout_acc add 4362525 add nd_as_jl unit test add e884692 update ipython notebook BGR -> RGB add 3226713 complete doc for symbolic-node add f5f2777 Adds Mean Squared Error evaluation metric add 94e17a6 Merge pull request #25 from Andy-P/pull-request/f5f27779 add 0b538d1 make notes on MSE metrics add 645091c char-ltsm temp commit add 703d78f char-ltsm example, not tested add eea7d2c typo ltsm -> lstm add e35b929 fix macro error reporting add 5a9d56a fix some errors add 487d5e8 fix kvstore refactoring bug add e4b6306 fix databatch add 6ddbecd add speedometer add 00c7bff neg-log-likilihood eval metric add d685f77 tweak training log formatting add 69cc430 reset! for NLL calculation add 0e1515d fix lstm learning rate add c5c1e05 basic network visualization add e0857a2 add visualization doc add c4abb97 fix visualization bugs add c3bee16 Merge branch 'master' of github.com:dmlc/MXNet.jl add 6193ef4 add lr decay to lstm training add 0c3f32d tweak learning rate add b078fec lstm sampler (not tested) add b624089 Merge branch 'master' of github.com:dmlc/MXNet.jl add 0f1fbaa fix sampler add f915865 use adam optimizer add a6886c2 copy states over for sampler add a153c3c Merge branch 'master' of github.com:dmlc/MXNet.jl add db7ae38 fix LSTM sampler add 8829912 add basic readme for lstm example add 5da45f3 use a more sensible default argument in favor of #24 add 3bc4fb5 fix path in char-lstm example outputs add 0e6402d add simple visualization example of char-lstm add a392e04 tweak visualization add 379de2b part of LSTM tutorial add 5b9df89 update README for LSTM example. add 75c32cd Add gitter link to dmlc/mxnet add a9242f4 Merge branch 'master' of github.com:dmlc/MXNet.jl add b2b903c Merge branch 'master' of git://github.com/dmlc/MXNet.jl add c804be9 char-LSTM tutorial add b595394 call visualization in test add f099670 prepare for v0.0.5 add e8ab01d tweak visualization style. add 37b48f1 fix the sample code in README add a35c709 Merge pull request #27 from bicycle1885/patch-1 add c2d4b1e Merge branch 'master' of git://github.com/dmlc/MXNet.jl add aea096f use a smaller network for visualization. add 4f09440 implements variants of Xaiver add 56bd4f7 Merge pull request #28 from vchuravy/vc/fix_xavier add 89cf70d update doc add 1a935de rename Xaiver to Xavier add 5dd8664 rebuild docs add 0b38010 Merge pull request #30 from vchuravy/vc/rename add 5b0e1ac remove grad_scale parameter from optimizers (duplicated with lr) add 4fc66b4 update documents for optimizers add 884c7f8 more arithmetic operations on symbolic nodes add 7d8de6b fix API change: scalar_on_right -> on_left add 62c9703 rework Xavier to be more flexible add 6081fce xavier: rebuild documentation add ea85774 Merge pull request #32 from vchuravy/vc/xavier add 56f3eef update README add e848e8d spelling :bee: add 03eb95f Merge pull request #33 from yeesian/update-readme add 2c72446 Merge branch 'master' of git://github.com/dmlc/MXNet.jl add 46257d2 basic interface for setting and getting attributes add 05bcddf Merge pull request #35 from vchuravy/vc/symbol_attr add e19ca8e add warning to discourage users from calling set_attr directly add 266d946 attr interface for SymbolicNodes add 247ec44 attrs: Doc rebuild add 1f4bc8b Merge pull request #36 from vchuravy/vc/attr add c66531f adds LearningRate.Inv from Mocha add bb7e542 Merge pull request #37 from vchuravy/vc/lr_inv add 74cc5ba Fixes usuage of floor add 0d11ebc Merge pull request #42 from vchuravy/vc/fix_ops add f094a11 add missing _init_default add 2ff90c3 imports operators into the namespace to prevent issues add fdf536c Merge pull request #46 from vchuravy/vc/ops add 67c8bb2 prepare for v0.0.6 (c.f. #42) add aa1b600 backport @defstruct from SimpleStructs.jl add b513898 use download instead of wget add 8d3a9a0 Merge pull request #48 from SimonDanisch/patch-1 add d612faf Accuracy metric added to epoch callbacks.. add a5c6693 Accuracy metric added to epoch callbacks. add 49a92d1 Accuracy metric added to epoch callbacks. add 9286bcc Merge pull request #50 from kasiabozek/acc_callback add 71b4945 Fix compilation errors for julia 0.4.2 add 8e879d7 Fix compilation errors for julia 0.4.2 add 32c8954 Merge pull request #53 from BigEpsilon/patch-4 add 5ed54d8 try to fix build-script for installing cblas add 0169981 try to use the built-in bindeps for building in travis CI add f91c200 add Juliapkg badge add dfe66f0 Merge branch 'master' of git://github.com/dmlc/MXNet.jl add d8e5065 fix travis CI building script add 7a7cfbe trying to fix travis CI gcc-4.8 thing add 99e7e66 still trying to fix travis CI gcc issue... add 3861edc clean up travis CI script add 3a134e8 test whether bindeps works well on travis CI to install cblas add ce57a39 test failed, travis CI is configured to disable sudo add 8edb94b prepare for v0.0.7 add 4c52eb8 workaround for #55 add 724007a add notes about AWS GPUs add c5cbf24 fix seg-fault due to upstream API change add 175d399 workaround for jenkins CI add f277cd7 revert last commit (not useful) add 30b7142 fix one travis CI test error add 1e4f9f0 fix error due to upstream API changes on symbolic node function add 579b881 fix for breaking changes in Julia nightly add ce3f6d3 another attempt to fix julia v0.5 compatability add 938b236 update doc for initializer add 06019e2 stricter type anotation for julia v0.5 add 1c707a2 fix typo add ac709d1 prepare for v0.0.8 add 7a50357 MXNet exposes a transpose function add fbcd12c Merge pull request #71 from oist/vc/imports add f898837 add function to get debug_str, similar to python add f7562e9 Merge pull request #73 from oist/vc/executor add acd2a74 output TempSpace allocation add 34efa24 Merge pull request #74 from oist/vc/temp_space add 8b8c9c2 cleanup Accuracy add 9182148 add average cross-entropy metric add 3170c4e update documentation add f6b7f31 Merge pull request #79 from oist/vc/accuracy add 0b387f7 add further information to install.rst add f26ad96 Update install.rst add 79bfdbe Merge pull request #60 from ultradian/patch-1 add d85549b adds MultiACE or ACE per class add 3bff587 Merge pull request #81 from oist/multi_aces add 1a73dda Use openblas from Julia, instead of installing yet another BLAS library add 0c5086a Simplify linking add 7be95f6 Bundle generic cblas.h header for users that don't have libblas-dev installed already add 0ec6dca Oh, it really does call itself `libmxnet.so` on non-linux platforms too add 60c16e2 Cut down cblas.h to only the stuff we need, make this work on ILP64 add 7f445b9 Fix typo add 9474561 More intelligent parallelized build add 39786c5 Just remove parallel build, it's making Travis angry add a2164ae Merge pull request #82 from staticfloat/sf/openblas add b38e2cc update docs add bbe3151 fix for upstream changes dmlc/mxnet#1857 add 4bf4037 check if their are predefined weights and use them add 4c7a066 be more lenient in model loading add 539a070 Merge pull request #86 from oist/vc/transfer_model add 98b7cf2 add SymbolListAttr add b0fc16f get idx that need to be frozen add ce599a9 skip parameter update on frozen weights add 9880bdf set GRAD_NOP for all frozen params add 68180f7 ids derived from arg_names and param_names are not relatable. add 5ba27eb Merge pull request #87 from oist/vc/finetuning add deb021d (temporarily) disable Julia nightly test add c948dc3 Added 7z alternative for mnist add 69e9898 Merge pull request #90 from Mike43110/win/zip add 013b88b Change where set_attr is called in _define_atomic_symbol_creator add 2b0d825 Merge pull request #91 from Mike43110/list_attr add 463f202 add support for ListAttrShallow add e7cd135 Merge pull request #92 from vchuravy/vc/fixup add baa9c2a revert #91 add 64a63f7 Deduplicate and generalise metric update! add 0ea4369 Merge pull request #94 from oist/vc/generic_metric_update add 3a013b8 fixup expr check for v0.5 add e6d07f0 fix deprications on v0.5 add 55f2a42 fix overwriting of inner function add 48b723a fix ByteString deprication and deprications in tests add afd9baa enable travis for 0.5 add d1bf894 Merge pull request #98 from oist/vc/0.5 add 9c9e762 Initial support for DType and TypeFlags add a282586 add typed empty, ones, zeros add c161fe1 make arithmetic work with DType and extend arithmetic tests on all types add 2916a8f turn macro into helper function add dc405e7 add type_infer add 4a4ea61 make bind tests use isapprox and don't run division tests for Integer types add a80ae98 Merge pull request #97 from oist/vc/ndarray add affebe6 Exclude division test for Float16 add 9a827f7 fix blas_vendor for v0.5 add 1940a68 Merge pull request #102 from oist/vc/test add 5e70cb9 start transitioning to Documenter.jl add ce16bfe split import_ndarry functions up add f09362c add mxnet.so as a dependency add 411a08b simplify _import_ndarray add 7b65547 implement _import_ndarray functions as macro add 89e2c8e implement a function cache add 5b2bd3e Refactor _import_atomic_symbol to be a macro add 1ad9a1a transition context to see how it turns out add ca949d7 get rid of the most of the old docs add 504aec6 do some housekeeping and start moving things to markdown add 733d46d setup api docs with autodoc add 9113b21 rough first pass .rst -> .md add d8de742 improve autogenerated documentation add 597c736 convert rst to md with pandoc add d7d4d90 finish mkdocs support add 3dbec0f cleanup docs add c74594f enable travis to build docs add 85ec111 finalize mkdocs setup add 8dad674 Merge pull request #106 from oist/vc/docs add 789bb6b setup Documenter.jl add 2c651ff fix documenter config bug add f442c49 switch doc to new location. add 79f51e6 fix URL to Windows building instruction (#111) add b54620b Fix broken documentation link. add 8058ff7 Merge pull request #112 from slundberg/patch-1 add a7b1c65 fix deprecations in build.jl add 0408e3e fix String deprecations add 3145973 Change back to dict comprehension syntax for v0.4 add 016efd6 improve docstrings add 5088242 Don't override help for already defined methods add 3bc93fe improve documentation formatting for SymbolicNodes add b328f24 fix deprecation for call add 2c36a5d nightly is v0.6 add a0a4a4e Merge pull request #115 from oist/vc/deprecations add 63e6063 fix Inception URL #113 add 513c030 fix link in doc add 3a7913f fix some formatting errors in docs add 63772b8 fix typos in doc add 50a2946 documentation cleanup add 71eefbb Remove `` and :class: add 8c22211 Merge pull request #116 from vchuravy/vc/doc add 221611a Get rid of sub depwarn add e672e42 import Compat.view add 08ba2d1 Update REQUIRE with min version of Compat add de77bce Merge pull request #117 from ranjanan/ranjanan-depwarn add e3b7935 reorder docs for io.jl and bring them into the markdown age add c126895 use `!!! note` syntax (this breaks documentation creation on v0.4) add 3bbd866 build documentation on 0.5 add 84866f4 fix documentation being attached to the wrong binding: add da6d9e4 Merge pull request #118 from oist/vc/io_doc add 053ab42 fix overseen typo add d79f9df Merge pull request #119 from oist/vc/typo add 4403ef3 add MultiMetric and reorder metric docs add 12a87e5 add one-dimensional ACE add ab19db8 update docs for ACE add 0621b13 Merge pull request #124 from vchuravy/vc/multi_metric add e697960 add grad function to do autodiff add a01a11b Merge pull request #125 from vchuravy/vc/symbol_grad add 637e378 cleanup docs a bit more add abc8ffa Merge pull request #127 from vchuravy/vc/clean_docs add 1ba3896 update default dataset URL (fix test failing of #123) add 3fac768 associate docs with method and not binding add f0b758b move call docs into type docs add 57aa885 Merge pull request #128 from vchuravy/vc/method_docs add 6840119 handle kwargs for ndarray functions add e0b7668 special case transpose add f5e80af add special casing of transpose to the symbolic layer add dc43bfe Merge pull request #123 from vchuravy/vc/ndarray_funcs add ae1d45b preparing for v0.0.9 add 9e3a60a Positional arguments in symbolic API need type restriction. (#134) add 8949dbb remove mistaken + in REQUIRE (#135) add f06d994 fix special handling of dot for SymbolicNode (#123) add 6e2c1ae add readme for developers add ebdafe8 update libmxnet SHA add 545332d keep the master branch to track libmxnet master add 39bc643 make is_windows compatible with Julia v0.4 add ba2c999 fix build script add 8f43961 prepare for v0.1.0 add 86362f3 update workflow for creating release add 1a0b440 Make build.jl aware of other blas vendors besides OpenBLAS (#137) add d4278ca remove unnecessary @compat call add 1ff0975 replace pipe with pipeline add 37e715a fix build script add 9798c97 improve buildscript add eb4a3fd fix build script. add 44d659a Fixes deps/build.jl on Travis (#142) add e218d85 fix NEWS.md for skipped v0.0.9 add 286d751 Add files via upload add 45c1a6c Merge pull request #147 from mcreel/master add 8453c0a Update regression-example.jl (#148) add 6bd3951 try to automatically find CUDA add 9059c00 Merge pull request #144 from vchuravy/vc/cuda add 4664f3b Add some docs to `eachbatch` (#149) add eee5ca7 fix missing wget #150 add 5880b77 Merge pull request #151 from dmlc/vc/fix_150 add d1eb318 Bug fix updating the ACE loss function. Included a test case. Also provided an example. add c06b211 Merge pull request #156 from JockLawrie/pull-request/d1eb3183 add b81b26c New Optimizers (#159) add 1ea44c9 Fix hygiene bug (#164) add ab80048 ENH: added verbosity training option to control printouts (#162) add 7a2432c ignore vscode project files add e6b0508 ndarray ops add d16b654 ndarray op test add 03509ae temp commit, symbolic not passing due to ambiguity add 623fbaf disambiguate nd op and sym op add d718cfc fix API changes in random add 590055b change examples for new symbolic calling conventions (nnvm, #146) add 4d0aa87 Fixed visualize (#163) add 2393d4a Fix scalar operations in NDArray (#165) add 179daa5 Fix of bugs in nnvm branch (#169) add 1b09fb4 Merge branch 'nnvm' add 030990a BUG: fix two small mistakes with verbosity control (#168) add 22a3c72 Drop support for v0.4 and Deprecations for v0.6 (#171) add 2a66ea3 Update build.jl (#174) add 3ad5819 update NEWS.md add 8d044b1 refactor windows support add 15c7052 Merge pull request #186 from dmlc/vc/windows add b039771 Using WebRequest function to download the JSON file add 11deaab Merge pull request #188 from bmharsha/Fix-Windows add 6335eca fix vectorized abs deprecation add d9f9551 don't include code from within a function add a6968a6 deprecation of filter and Array creation add a79d002 readall deprecation add a476d3e MXNet.jl on v0.6 is currently subtlety broken due to broadcasting. add ba3c9fb Merge pull request #187 from oist/vc/travis add fecfcdd fix use of Symbol in symbolic-node.jl, fixes #189 add fb2a0d0 Merge pull request #190 from dmlc/vc/fixup add cac5625 refactor sgd.jl to exploit multiple dispatch add d0d7963 remove BaseTestNext and bump Compat add d59b214 Merge pull request #192 from dmlc/vc/review_comments add 0ee926e remove usr/setupenv.cmd because it is too invasive add 79d80b6 Merge pull request #196 from dmlc/vc/fix_win add 75060bc Fix for symbolic node (#199) add f33f1dc get_name (#206) add 17a5442 fix data URL error (#204) add c58eb46 fix for issue #207 (#208) add fa25ad6 metric: intro NMSE add f23b0a9 doc: update CDN link of MathJax add 96191ea metric: add test cases for NMSE add ba97d93 docs: add an explanation for normalized MSE add 09d8f27 Merge pull request #211 from iblis17/nmse add cf7f32b Fixed data attribute add c9eb71b switch to Plots.jl from pyplot (#217) add 1781290 Update ACE metric (#220) add 9474d95 provide an optional context in mx.load_checkpoint (#221) add 46440e3 Added initializers for Spatial Transformer Networks (STN) layers (#223) add 9dd3291 docs: update renamed `every_n_batch` add fc2974f Merge pull request #225 from iblis17/docs add 5c02fcb Check if key stride exists in the node info when producing graphviz output. Fixes #213 add 867b1c5 Merge pull request #226 from facundoq/master add 31b95fb Update mnist.md (#227) add 1be1b87 fix conflict with Images add 7a6120a Merge pull request #228 from dmlc/vc/images_subtype add bfa966a fixes bilinear initializer following approach in #34 add 8947ead adds test for bilinear initializer add 44a6c36 Merge pull request #229 from dmlc/vc/bilinear_initializer add ced3f73 fix pointer(NDArray) for Float64 add 86e3fa0 Merge pull request #231 from dmlc/vc/pointer add 558adb7 add SeqMetric to apply different metrics for multi-output add b4ece81 add NullMetric add 3263b95 Merge pull request #230 from dmlc/vc/seqmetric add d0253f1 XCode8 supports thread_local in C++ add 68b67e8 Merge pull request #234 from dmlc/vc/mac_travis add 1697522 update MSE to be agnostic to dimensions. add e12052c convert single outputs to array so that inference has it easier add def129f convert eps to eltype of array add c2044d5 adds THTT to enable metrics to support NDArray or Array add 349d2a7 convert MSE to use NDArray as an example for async add 4675ace Merge pull request #233 from dmlc/vc/metrics add c4a2658 ensure that new submodules are initialized add 9aac7e1 Update callback.jl (#235) add 7a530fa Fixed SpatialTransformerNetwork loc_bias initializer. Added lenet-stn example. (#238) add 06010b8 explicitly specify 7z (#239) add 6cc9e99 add verbosity option to predict() add 4cd5f3f Merge pull request #244 from rdeits/predict-verbosity add 5d16305 explicitly specify 7z add 02c7661 Merge pull request #246 from musm/patch-1 add 8918f1b update appveyor script (#195) add efff124 Add appveyor badge add 60f5306 improve GPU detection. add 07777d6 switch to vc14 add 28344a4 actually copy the mxnet.dll to the right place on windows add 96bdfa7 Prebuilt binaries only work on windows 64bit add aae9114 Merge pull request #194 from dmlc/vc/gpu_detection add 2ecf2c1 update NEWS.md add b63fd9b Fix #242 (#247) add 9c70922 Update CI URLs to point to new caching infrastructure add c7032f0 Merge pull request #249 from staticfloat/ci_url add 172af60 Use `Sys.CPU_CORES` not `nprocs()` when doing a parallel `make` (#250) add 2b26bc2 update for Julia v0.6 (#248) add 841e9ee update regression example for julia v0.6(#254) add c965235 Add extra check on CUDA library detection add 18547b8 Merge pull request #255 from joshbode/cudalib_check add e7d1b62 Added cblas_[ds]tr[sm]m to cblas include file (#259) add 10ad90b Added MXNET_COMMIT env variable for upstream commit/tag (#260) add 0750c41 build: bump curr_win to 20170819, MXNet 0.11.0 add 778529c Merge pull request #268 from iblis17/win-prebuild add 873715b cblas: import all func prototype into header add 85a2d97 ndarray: add kInt8 and kInt64 into TypeFlag enum add 8bd307f Merge pull request #270 from iblis17/nd-typeflag add 4e5ab13 travis : set make -j4 and travis_wait add f34643b Merge pull request #271 from iblis17/fix-travis add d1bbcc4 base/build: using `Libdl.dlext` for searching lib add b68ce5b Merge pull request #265 from iblis17/ext add 0d54f4b build: force enable LAPACK when Julia's OpenBLAS is available add 21ccc56 Merge pull request #269 from iblis17/build-lapack add 23866bd build: fix macOS LAPACK build add 2c5120d Merge pull request #277 from iblis17/mac-lapack add 5d739da ndarray: implement deepcopy via MXNDArrayGetDataNDArray add f20534d Merge pull request #273 from iblis17/issue-273 add 7cc66d1 executor: fix docstring of `bind` add a51cba4 Merge pull request #281 from iblis17/bind-doc add 4e439ed build: remove FileRule on config.mk and fix CUDA config add d824631 Merge pull request #275 from iblis17/file-rule-cuda add e3ad29d travis: bring coverage report back add bbd0e66 Merge pull request #285 from iblis17/cov-report add 3d4adfb ndarray: `reshape` share the same API with Base add b68ca2e Merge pull request #272 from iblis17/issue-272 add 16c2c5a base: update GRAD_REQ enumeration add bb88d79 Merge pull request #283 from iblis17/issue-283 add dcba690 build: CuDNN detection add 3595403 Merge pull request #280 from iblis17/build-cudnn add 0b9bf78 sym-node: support `print` for debugging add df13ddd Merge pull request #276 from iblis17/print-symbol add 4e89c91 sym-node: extract a until function _create_atomic_symbol add 63a34cc sym-node: implement reshape api as Base add 68d6ff7 sym-node: update deprecation for reshape add a2e270e sym-node: update NEWS for reshape API add 9e0844a sym-node: add reverse keyword arg add 55ccbfa sym-node: more test cases for reshape add 6d1ba53 Merge pull request #279 from iblis17/sym-reshape add 251a8b3 random: upstream api change add ebb03d0 Merge pull request #288 from iblis17/upstream-random add ff0556b random: rename srand! to srand add 5b3c507 random: update NEWS and deprecated.jl add 0a53778 Merge pull request #282 from iblis17/srand add ac7bbd0 base: support MXGetVersion add 19082ef Merge pull request #289 from iblis17/mx-get-ver add 904eb20 rand: docstring add 9d90506 Merge pull request #295 from iblis17/doc-rand add aae016c ndarray: pretty printing add 15def2c Merge pull request #290 from iblis17/nd-pretty-print add 81b134f ndarray: implement `fill` and `fill!` (#297) add 077a8cb build: improve cuda detection add a79e33c Merge pull request #287 from iblis17/issue-286 add 71f2d40 base: merge _julia_to_mx_param into dump_mx_param (#296) add 3824df0 Fix mx.chain var reference in macro (#299) add 41f8f55 visualize: fix node_attr on upstream master (#301) add 9fcab40 symbol: add Base.show (#302) add 4f182ee ndarray: more Base-like APIs (#303) add a3317f1 ndarray: implement rdiv (#292) add 8cc5c1c util: docstring of _sig_checker (#305) add a488d7a ndarray: intro TakingBroadcastSeriously and broadcast unfusing (#300) add 57cc677 ndarray: elementwise power (#293) add eea128a ndarray: fix `add` broadcasting and more tests (#308) add f839be1 Fix deprecations (#307) add 4919273 ndarray: getindex/setindex! linear indexing (#294) add 1fc03f2 ndarray: elementwise power for irrational (#310) add 00d61d2 executor: return `outputs` on forward (#312) add 3f93ffc git: union merge policy for NEWS.md (#309) add 678b49e ndarray: regularize fill! API (#311) add e083e5f doc: cleanup useless enc file (#315) add 09b9718 build: prevent CUDA_HOME KeyError (#316) add 9304e6e sym: broadcast unfusion (#314) add f8e1938 Remove Compat and src/compat.jl (#318) add a19fc93 test: replace `reldiff` with `isapprox` (#321) add 526857e docs: address docstring override warning (#320) add 8071186 travis: enable 'build branch updates' on master/stable only (#319) add e4b6c0e docs: update examples in overview (#317) add a51d9b5 docs: fix more example rendering in overview (#322) add 73b856b Update README badge (#324) add 1dfb5b3 Cut a release for mxnet v0.12.0 (#304) add b56c44e Bump upstream to v0.12.1 (#326) add 9efedbc Update releasing note (#327) add a4aab01 docs: minor changes in overview (#330) add 57b50d4 build: set upstream version back to master (#328) add 8564f19 executor: add Base.show and Base.print (#337) add ceb7fbf travis: enable caching for reducing build time (#329) add 1a7887c ndarray: add outer constrcutor for AbstractArray (#334) add 010ea3c sym: implement get_children (#333) add 1f50a14 sym: fix printing of symbol generated via get_internals (#332) add b0556e6 Update regression-example.jl (#339) add 91a410e test: minor style changes for mlp-test (#340) add f126482 sym: handy macro `mx.var` for creating `mx.Variable` (#338) add cb06a9a build: bump max number of make jobs to 32 (#343) add 45d6279 ndarray: add `Base.show(io, MIME"text/plain")` (#347) add e0f625a example: fix batchsize config in regression-example (#342) add 935eb35 ndarray: make _minus type stable (#345) add 2a5a284 model: refine and test cases for FeedForward constructor (#346) add cb042fd parametric NDArray (#331) add 914fab6 ndarray: minor style changes (#349) add c43d0dd model: fix test cases macro (#355) add 09ee1f4 ndarray: implement `size(x, dims...)` (#350) add 8a19651 ndarray: implement endof (#351) add fd7fb79 ndarray: make _plus type stable (#352) add b9855c4 ndarray: type convert of _mul_scalar (#356) add ad57be9 ndarray: type convertion of _plus_scalar (#360) add 642b17b ndarray: type convertion of _rdiv_scalar (#358) add ce0e237 doc: sort out table for ndarray api (#362) add f8d4f62 ndarray: type convertion of _minus_scalar (#354) add 14f9748 ndarray: do not auto-import _full, _ones and _zeros (#359) add daf787c ndarray: make trigonometric functions dot-call only (#361) add 233fcfc ndarray: change internal api of plus to help autograd (#364) add eb819b0 ndarray: change internal api of mul/div to help autograd (#366) add 2ca5565 ndarray: change internal api of minus to help autograd (#365) add 12198f0 ndarray: copy(AbstractArray, context) (#367) add 2d7cdc6 Reexporting NDArray and SymbolicNode (#306) add db09528 example: fix parametric NDArray in lstm example (#370) add 27c66ec sym: overload `bind` (#372) add bfb1cc4 ndarray: remap hyperbolic function (#374) add 6609616 ndarray: support transpose on 1D array (#375) add 881759f example: fix MSE init (#376) add 5908d97 base: cleanup stale code in _defstruct_impl (#377) add a941f3a ndarray: add modulo operator (#373) add 8135a63 ndarray: type convertion of _div_scalar (#357) add 1e20f50 ndarray: protect from diving zero for non-inplace op (#378) add d921225 doc/ndarray: add ref table for hyperbolic function (#382) add 4507598 ndarray: `cat`, `hcat`, `vcat` (#380) add 39ecb32 base: improve MXError display (#379) add cb443b7 ndarray: porting Python's autograd (#274) add 883cdd3 build: make appending lib to MXNET_HOME optional (#386) add bfeba81 ndarray: support matrix/tensor multiplication (#384) add 3787895 ndarray: remap expand_dims (#381) add 813bfdc random: Base-like APIs for rand, rand!, randn, randn! (#383) add d3cdbf6 ndarray: remap activation functions (#387) add 9d60663 ndarray: refine signature of `clip` (#391) add a4143e9 Bump :copyright: (#397) add ae425bf doc: append 'Defined in' into operator docstring (#393) add 930090b ndarray: fix 1D NDArray display (#399) add a1cef7f ndarray: fix type convertion in setindex! (#398) add 86ffb5d ndarray: inplace modulo operators (#389) add 30852dd ndarray: support modulo operation in macro inplace (#390) add 0ef5966 ndarray: add Base.ones(::NDArray) and Base.zeros (#363) add 49399fc ndarray: broadcasting along dimension on arith operators (#401) add e79ce71 ndarray: broadcast comparison operators (#402) add 2ab0584 ndarray: copy!(NDArray, AbstractArray) (#405) add 1c990bc ndarray: new constructor NDArray(Type, AbstractArray) (#404) add 0fba766 ndarray: broadcast_min/max (#403) add 39beaaf remap broadcast_to/axis/axes (#406) add ec2b699 ndarray: remap hypot (#407) add 157b088 doc: update predict section of mnist tutorial (#411) add 9f4f533 Optimizer module overhaul (#396) add 2c09c26 Update README: `predict` section (#412) add 6ac37f9 kvstore: refine and copy docstring from Python (#388) add 4038704 build: Propagate more build flags from ENV (#414) add 3c8e9d3 build: propagate CC/CXX into config.mk (#419) add 3df1214 build: propagate USE_JEMALLOC (#422) add 0ccf8b4 build: add `libmxnet.so` into lib search list. (#424) add b74a516 Update README.md add 224ae96 Typo in README add 06e1d36 Add 'julia/' from commit '224ae962db8ae252ce1ac317c6d4a2cfe67a7d77' add 9f8425b import Julia binding add 931555c Merge branch 'pr-10149' import Julia binding No new revisions were added by this update. Summary of changes: Jenkinsfile | 44 +- ci/docker/Dockerfile.build.ubuntu_cpu | 3 + ci/docker/install/ubuntu_julia.sh | 37 + ci/docker/runtime_functions.sh | 54 + julia/.gitattributes | 1 + julia/.gitignore | 13 + julia/.travis.yml | 59 + julia/LICENSE.md | 179 ++ julia/NEWS.md | 692 ++++++++ julia/README-DEV.md | 13 + julia/README.md | 60 + julia/REQUIRE | 7 + julia/appveyor.yml | 56 + julia/deps/build.jl | 280 +++ julia/deps/cblas.h | 563 +++++++ julia/deps/cpcblas.sh | 25 + julia/docs/Makefile | 20 + julia/docs/make.jl | 29 + julia/docs/mkdocs.yml | 65 + julia/docs/src/api.md | 18 + julia/docs/src/api/callback.md | 6 + julia/docs/src/api/context.md | 6 + julia/docs/src/api/executor.md | 6 + julia/docs/src/api/initializer.md | 6 + julia/docs/src/api/io.md | 120 ++ julia/docs/src/api/kvstore.md | 6 + julia/docs/src/api/metric.md | 10 + julia/docs/src/api/model.md | 9 + julia/docs/src/api/ndarray.md | 57 + julia/docs/src/api/nn-factory.md | 9 + julia/docs/src/api/optimizer.md | 66 + julia/docs/src/api/symbolic-node.md | 6 + julia/docs/src/api/visualize.md | 6 + julia/docs/src/index.md | 55 + julia/docs/src/tutorial/char-lstm.md | 306 ++++ julia/docs/src/tutorial/images/LSTM3-chain.png | Bin 0 -> 229688 bytes julia/docs/src/tutorial/images/char-lstm-vis.svg | 435 +++++ julia/docs/src/tutorial/mnist.md | 264 +++ julia/docs/src/user-guide/faq.md | 8 + julia/docs/src/user-guide/install.md | 92 + julia/docs/src/user-guide/overview.md | 406 +++++ julia/examples/char-lstm/.gitignore | 6 + julia/examples/char-lstm/README.md | 121 ++ julia/examples/char-lstm/config.jl | 40 + julia/examples/char-lstm/lstm.jl | 166 ++ julia/examples/char-lstm/sampler.jl | 89 + julia/examples/char-lstm/seq-data.jl | 136 ++ julia/examples/char-lstm/train.jl | 59 + julia/examples/char-lstm/visualize.jl | 32 + julia/examples/cifar10/cifar10.jl | 101 ++ .../Prediction with Pre-trained Model.ipynb | 249 +++ .../imagenet/ijulia-pretrained-predict/cat.png | Bin 0 -> 123126 bytes .../ijulia-pretrained-predict/imagehelper.py | 48 + julia/examples/mnist/lenet-stn.jl | 81 + julia/examples/mnist/lenet.jl | 62 + julia/examples/mnist/mlp-test.jl | 122 ++ julia/examples/mnist/mlp.jl | 75 + julia/examples/mnist/mnist-data.jl | 33 + julia/examples/nondefault-example.jl | 147 ++ julia/examples/regression-example.jl | 101 ++ julia/models/Inception/.gitignore | 2 + julia/models/Inception/get.sh | 22 + julia/plugins/README.md | 14 + julia/plugins/io/svmlight.jl | 86 + julia/src/MXNet.jl | 173 ++ julia/src/autograd.jl | 404 +++++ julia/src/base.jl | 317 ++++ julia/src/broadcast.jl | 36 + julia/src/callback.jl | 160 ++ julia/src/context.jl | 54 + julia/src/deprecated.jl | 160 ++ julia/src/executor.jl | 254 +++ julia/src/initializer.jl | 197 +++ julia/src/io.jl | 643 +++++++ julia/src/kvstore.jl | 353 ++++ julia/src/metric.jl | 478 ++++++ julia/src/model.jl | 671 ++++++++ julia/src/name.jl | 61 + julia/src/ndarray.jl | 1780 ++++++++++++++++++++ julia/src/nn-factory.jl | 60 + julia/src/optimizer.jl | 308 ++++ julia/src/optimizers/adadelta.jl | 104 ++ julia/src/optimizers/adagrad.jl | 77 + julia/src/optimizers/adam.jl | 88 + julia/src/optimizers/adamax.jl | 84 + julia/src/optimizers/nadam.jl | 111 ++ julia/src/optimizers/rmsprop.jl | 84 + julia/src/optimizers/sgd.jl | 88 + julia/src/random.jl | 83 + julia/src/symbolic-node.jl | 1003 +++++++++++ julia/src/util.jl | 255 +++ julia/src/visualize.jl | 213 +++ julia/test/common.jl | 50 + julia/test/runtests.jl | 43 + julia/test/travis/run_coverage.sh | 18 + julia/test/travis/run_test.sh | 28 + julia/test/travis/setup_env.sh | 38 + julia/test/unittest/autograd.jl | 403 +++++ julia/test/unittest/bind.jl | 95 ++ julia/test/unittest/initializer.jl | 35 + julia/test/unittest/io.jl | 145 ++ julia/test/unittest/kvstore.jl | 114 ++ julia/test/unittest/metric.jl | 116 ++ julia/test/unittest/model.jl | 51 + julia/test/unittest/name.jl | 50 + julia/test/unittest/ndarray.jl | 1475 ++++++++++++++++ julia/test/unittest/operator.jl | 57 + julia/test/unittest/optimizer.jl | 85 + julia/test/unittest/random.jl | 62 + julia/test/unittest/symbolic-node.jl | 565 +++++++ julia/test/unittest/util.jl | 51 + julia/test/unittest/visualize.jl | 54 + .../nightly/apache_rat_license_check/rat-excludes | 1 + tools/license_header.py | 6 +- 114 files changed, 17719 insertions(+), 11 deletions(-) create mode 100755 ci/docker/install/ubuntu_julia.sh create mode 100644 julia/.gitattributes create mode 100644 julia/.gitignore create mode 100644 julia/.travis.yml create mode 100644 julia/LICENSE.md create mode 100644 julia/NEWS.md create mode 100644 julia/README-DEV.md create mode 100644 julia/README.md create mode 100644 julia/REQUIRE create mode 100644 julia/appveyor.yml create mode 100644 julia/deps/build.jl create mode 100644 julia/deps/cblas.h create mode 100755 julia/deps/cpcblas.sh create mode 100644 julia/docs/Makefile create mode 100644 julia/docs/make.jl create mode 100644 julia/docs/mkdocs.yml 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