6608da7 | Vadim Mazalov | 10 March 2018, 02:44:19 UTC | Add logs for reader debugging | 14 March 2018, 18:25:20 UTC |
9af853d | Vadim Mazalov | 01 March 2018, 03:42:11 UTC | Ensure we can read model from a different location | 01 March 2018, 16:10:39 UTC |
9c5dba4 | Project Philly | 27 February 2018, 23:47:04 UTC | Integrate jaliyaek/bugfix_sq into master | 27 February 2018, 23:47:04 UTC |
bd74694 | Jaliya Ekanayake | 27 February 2018, 19:43:53 UTC | Fix the converter bug that omits cloning parts of the graph | 27 February 2018, 19:43:53 UTC |
772f0d9 | Thiago Crepaldi | 14 February 2018, 22:49:32 UTC | Remove 3rd party libs and debug info wheel packages | 27 February 2018, 17:29:16 UTC |
69850fd | Project Philly | 27 February 2018, 02:29:55 UTC | Integrate 0b31b08f9edd4ee8aa35445b8084a86d9c421419 into master | 27 February 2018, 02:29:55 UTC |
d1925a1 | Mark Hamilton | 23 February 2018, 18:04:24 UTC | Fix dependency loading in java | 26 February 2018, 20:28:20 UTC |
1d676a0 | Mark Hamilton | 20 February 2018, 21:29:09 UTC | Add dependencies to java jar | 26 February 2018, 20:28:20 UTC |
89ba54e | mx-iao | 26 February 2018, 18:31:18 UTC | Updating License to "Cognitive Toolkit" from "Computational Network Toolkit" | 26 February 2018, 18:31:18 UTC |
0b31b08 | Nikolay Amiantov | 25 February 2018, 18:02:46 UTC | Include <functional> in EvaluatorWrapper This fixes compilation failure. | 25 February 2018, 18:03:21 UTC |
695bdf7 | KeDengMS | 23 February 2018, 19:21:23 UTC | Fix crash in CBF when crossing sweep boundary This fixes issue #2479 #2964 | 23 February 2018, 19:21:23 UTC |
523af50 | Vadim Mazalov | 21 February 2018, 19:14:22 UTC | Minor refactoring | 21 February 2018, 19:16:19 UTC |
1c78107 | Vadim Mazalov | 17 February 2018, 02:21:52 UTC | Handle malformed lattice | 21 February 2018, 19:16:19 UTC |
9032174 | KeDengMS | 21 February 2018, 00:18:38 UTC | Disable MKL-DNN for now before we pick up the fix for AMD cache size fix. In MKL-DNN 0.12 release, there's a cache size detection issue causing crash on AMD Ryzen CPUs. This change disables MKL-DNN to unblock AMD Ryzen users for now. | 21 February 2018, 00:18:38 UTC |
461b82d | Manik Jindal | 20 February 2018, 18:54:07 UTC | Move hard-coded CNTK version to a common place This will help to build CNTK for nighlty builds with required CNTK version. If environment variable 'BUILD_CNTK_VERSION' is set, then CNTK will be build for that version as a public release('+' won't be appended to CNTK version). Otherwise hard-coded CNTK version will be used as a private build (2.4+). | 20 February 2018, 21:22:59 UTC |
4017a16 | Spandan Tiwari | 16 February 2018, 08:41:08 UTC | Adding mean_variance_normalization CNTK and ONNX op, and LayerNormalization ONNX suort. | 16 February 2018, 08:41:08 UTC |
5f1d710 | Manik Jindal | 15 February 2018, 19:22:12 UTC | Add nightly build badges | 15 February 2018, 19:22:12 UTC |
e186ddd | Project Philly | 15 February 2018, 18:10:16 UTC | Integrate vadimma/latpar into master | 15 February 2018, 18:10:16 UTC |
e971570 | Vadim Mazalov | 13 February 2018, 18:34:20 UTC | Introduce latticeConfigPath to SE node (cherry picked from commit dcdad16d2f56b2620e9863f012652108f70e8efd) | 15 February 2018, 07:33:46 UTC |
2237dd0 | KeDengMS | 14 February 2018, 21:27:45 UTC | Add support for FreeDimension in Pooling/Unpooling | 14 February 2018, 21:27:45 UTC |
54ba085 | Project Philly | 14 February 2018, 21:17:15 UTC | Integrate kedeng/fix201B2 into master | 14 February 2018, 21:17:15 UTC |
838a433 | Vadim Mazalov | 08 February 2018, 02:31:26 UTC | Some refactoring (cherry picked from commit 9d2cda718f213c7aaabfac60ee8cbd7eee2ab724) | 14 February 2018, 20:53:44 UTC |
c3b6f1f | Vadim Mazalov | 07 February 2018, 22:34:35 UTC | Introduce lattice reader verbosity (cherry picked from commit d46516750dd011599b5320f318f1a146a03451f4) | 14 February 2018, 20:53:26 UTC |
1a1e08c | Vadim Mazalov | 02 February 2018, 06:34:51 UTC | Make the lattice deserialization parallel (cherry picked from commit 49612264ec769ae4f544b548fefe179edceb18bc) | 14 February 2018, 20:52:56 UTC |
206db8c | KeDengMS | 14 February 2018, 18:01:31 UTC | Fix Tutorial 201B for convergence issue. | 14 February 2018, 18:01:31 UTC |
6da3408 | Spandan Tiwari | 14 February 2018, 00:04:21 UTC | Fix for ONNX ConvTranspose node loading issue. | 14 February 2018, 00:04:21 UTC |
aa7447e | Spandan Tiwari | 13 February 2018, 19:32:21 UTC | First round of changes for ONNX FreeDimension support. | 13 February 2018, 19:32:21 UTC |
19719a6 | KeDengMS | 09 February 2018, 06:22:27 UTC | Fast tensor ops using MKL - Accelerates some common tensor ops in Intel CPU inference for float32, especially for fully connected networks - Can be turned on/off by cntk.cntk_py.enable_cpueval_optimization()/cntk.cntk_py.disable_cpueval_optimization() | 09 February 2018, 06:22:27 UTC |
08bcbdc | mx-iao | 09 February 2018, 00:42:08 UTC | Merge pull request #2690 from MingyuJoo/CNTK-2-PretrainedModels Adding ResNet101_ImageNet_CNTK/ResNet152_ImageNet_CNTK in download_model.py. | 09 February 2018, 00:42:08 UTC |
bd121f6 | mx-iao | 09 February 2018, 00:33:47 UTC | Merge pull request #2843 from kaiidams/kaiidams/typotut206 Fixed typos in tutorials. | 09 February 2018, 00:33:47 UTC |
8b71ff0 | mx-iao | 09 February 2018, 00:30:07 UTC | Merge pull request #2881 from zingdle/patch-2 Remove redundant code in CNTK_204_Sequence_To_Sequence.ipynb | 09 February 2018, 00:30:07 UTC |
2b94e7d | mx-iao | 09 February 2018, 00:27:18 UTC | Merge pull request #2880 from rnrneverdies/master Fix TensorBoard on_write_test_summary method | 09 February 2018, 00:27:18 UTC |
06ee7b8 | mx-iao | 09 February 2018, 00:25:21 UTC | Merge pull request #2940 from kazuyaujihara/patch/csexampletypo Fix typo in C# examples | 09 February 2018, 00:25:21 UTC |
062ce4d | mx-iao | 09 February 2018, 00:24:11 UTC | Merge pull request #2822 from tsbertalan/master Grammar fix. | 09 February 2018, 00:24:11 UTC |
08ba214 | mx-iao | 09 February 2018, 00:23:39 UTC | Update README.md | 09 February 2018, 00:23:39 UTC |
1142563 | Project Philly | 08 February 2018, 05:15:07 UTC | Integrate sptiwari/onnx_scalar_constant into master | 08 February 2018, 05:15:07 UTC |
aa1aaf8 | Spandan Tiwari | 08 February 2018, 01:37:34 UTC | Bug fix in ONNX broadcasting for scalar. | 08 February 2018, 01:37:34 UTC |
c5abe7f | Thiago Crepaldi | 07 February 2018, 18:34:51 UTC | Add KERA_BACKGROUND=cntk into CNTK Dockerfiles | 07 February 2018, 18:34:51 UTC |
56e1f3b | Kazuya Ujihara | 07 February 2018, 14:34:48 UTC | Fix typo | 07 February 2018, 14:34:48 UTC |
d615602 | Project Philly | 06 February 2018, 08:05:23 UTC | Integrate sptiwari/onnx_leakyrelu_fix into master | 06 February 2018, 08:05:23 UTC |
6556e1f | Junjie Qian | 26 January 2018, 23:49:46 UTC | Passin device ID in DistComm for NCCL initilization | 05 February 2018, 21:50:39 UTC |
977e402 | Spandan Tiwari | 05 February 2018, 19:08:40 UTC | Backward compat bug fix in LeakyReLu reverting alph to type double. | 05 February 2018, 19:08:40 UTC |
3660b7a | KeDengMS | 02 February 2018, 05:53:46 UTC | Node timing and profile details format in chrome://tracing. Working example in ./Examples/Image/Classification/MLP/Python/SimpleMNIST.py Note that node timing would be added to profiler details when profiler is enabled, i.e. import cntk as C C.debugging.debug.set_node_timing(True) C.debugging.start_profiler() C.debugging.enable_profiler() trainer|evaluator|function executions trainer|evaluator|function.print_node_timing() C.debugging.stop_profiler() | 02 February 2018, 05:53:46 UTC |
3a19d2f | Spandan Tiwari | 01 February 2018, 22:58:37 UTC | Adding find_by_uid to logging API. | 01 February 2018, 22:58:37 UTC |
fbbbaa9 | Manik Jindal | 01 February 2018, 05:35:22 UTC | Merge release/2.4 Squashed commit of the following: commit 82e025bbe319008c535741a9fc78367032cc3be0 Merge: 0702c09c3 ed5451c83 Author: Manik Jindal <manikj@microsoft.com> Date: Wed Jan 31 21:23:23 2018 -0800 Merge branch 'release/2.4' into manikj/merge-release-2.4 commit 0702c09c3c3cc1ae1e4cba28df3ce64f091a8c3e Merge: 32f6844ca 1afe40461 Author: Manik Jindal <manikj@microsoft.com> Date: Wed Jan 31 21:23:11 2018 -0800 Merge branch 'release/2.4' (early part) into manikj/merge-release-2.4 commit 32f6844ca84797db2dac8959eeb72576692986d0 Merge: 42a47a326 1f15d4649 Author: Manik Jindal <manikj@microsoft.com> Date: Wed Jan 31 21:21:55 2018 -0800 Merge branch 'release/2.4' (early part) into manikj/merge-release-2.4 commit ed5451c83416c5084dedf1a684f03653fe5863ee Author: Manik Jindal <manikj@microsoft.com> Date: Wed Jan 31 19:32:04 2018 -0800 MakeBinaryDrop: Fix lib names commit c528a56d4a1fa12f967e4bbab022a0d06b5704ea Author: Manik Jindal <manikj@microsoft.com> Date: Wed Jan 31 12:35:40 2018 -0800 Update README.md commit 490a58e4a9cf01d9114373b9444f0fbaf055581b Author: Manik Jindal <manikj@microsoft.com> Date: Wed Jan 31 12:08:57 2018 -0800 Add Halide to Release notes commit 2196299a71325b0959dc626ce548035db0634e58 Author: Manik Jindal <manikj@microsoft.com> Date: Wed Jan 31 11:48:45 2018 -0800 MakeBinaryDrop: Change Cuda libs to 9.0 commit 3df48ddd3ac38c24c5aa25bdb9b77d98116a3d8d Author: Manik Jindal <manikj@microsoft.com> Date: Wed Jan 31 06:06:29 2018 -0800 Add release notes commit 1afe404611f1f9a7cde0f43923382101cf15b823 Author: Manik Jindal <manikj@microsoft.com> Date: Wed Jan 31 06:05:05 2018 -0800 Replace 2.4+ with 2.4 commit 1f15d464960956a8192f137ebedf2753a36d83cc Author: Manik Jindal <manikj@microsoft.com> Date: Wed Jan 31 06:04:24 2018 -0800 Bump version to 2.4 | 01 February 2018, 05:38:52 UTC |
42a47a3 | Project Philly | 01 February 2018, 05:07:31 UTC | Integrate yacheo/h-softmax into master | 01 February 2018, 05:07:31 UTC |
e129bcf | Manik Jindal | 31 January 2018, 19:48:45 UTC | MakeBinaryDrop: Change Cuda libs to 9.0 | 01 February 2018, 02:48:12 UTC |
7877e3f | Chengji Yao | 31 January 2018, 03:18:00 UTC | add hierarchical softmax | 01 February 2018, 02:22:27 UTC |
abfc3a8 | Jaliya Ekanayake | 31 January 2018, 19:44:29 UTC | Update current_iteration.md | 31 January 2018, 19:44:29 UTC |
688b96e | Jaliya Ekanayake | 31 January 2018, 19:26:52 UTC | Update current_iteration.md | 31 January 2018, 19:26:52 UTC |
b09ff2b | Manik Jindal | 31 January 2018, 13:50:43 UTC | Merge branch 'master' into liqun/onnx17Stage2 | 31 January 2018, 13:50:43 UTC |
4bb3031 | Spandan Tiwari | 31 January 2018, 08:52:52 UTC | Making axis attribute optional in Concat. | 31 January 2018, 08:52:52 UTC |
22cea7c | Liqun Fu | 31 January 2018, 04:48:15 UTC | broadcast of scalar | 31 January 2018, 04:48:15 UTC |
e91df39 | Liqun Fu | 30 January 2018, 22:14:36 UTC | Pooling missing code fix | 30 January 2018, 22:14:36 UTC |
f18bcda | Spandan Tiwari | 30 January 2018, 18:05:47 UTC | Updating release notes with ONNX and other feature work (e.g. group convolution). | 30 January 2018, 18:05:47 UTC |
2a764a7 | Liqun Fu | 30 January 2018, 16:46:06 UTC | add ImageScaler, fix ConvTranspose | 30 January 2018, 16:46:06 UTC |
00158ff | Mark Hamilton | 30 January 2018, 03:13:01 UTC | Merge pull request #2887 from Microsoft/marhamil-fix-jar Update post-build.cmd | 30 January 2018, 03:13:01 UTC |
6ea2c67 | Manik Jindal | 29 January 2018, 00:32:35 UTC | Break Nuget packages Separate out dependencies from Nuget packages to reduce size of each individual package because Nuget service do not allow to upload a package of size more than 333MB. Current list of packages: CNTK.Deps.Cuda - Cuda dlls for GPU package CNTK.Deps.MKL - MKL dlls CNTK.Deps.OpenCV.Zip - OpenCV and Zip dlls CNTK.CPUOnly - CNTK CPU only Nuget package. Dependencies: MKL, OpenCV.Zip CNTK.GPU - CNTK GPU Nuget package. Dependencies: Cuda, MKL, OpenCV.Zip CNTK.UWP.CPUOnly - CNTK CPU Nuget package for UWP. Microsoft.Research.CNTK.CpuEval-mkl - Legacy CNTK eval Nuget package. Dependencies: MKL | 30 January 2018, 02:35:28 UTC |
6e846aa | marhamil723 | 29 January 2018, 20:44:29 UTC | fix makefile | 29 January 2018, 20:44:29 UTC |
8569868 | marhamil723 | 29 January 2018, 18:53:32 UTC | fix variable | 29 January 2018, 18:53:32 UTC |
166c8bc | marhamil723 | 29 January 2018, 16:12:37 UTC | add debug dll support | 29 January 2018, 16:12:37 UTC |
6db8b6e | marhamil723 | 26 January 2018, 02:39:37 UTC | Add image writer SOs and zlib dlls | 29 January 2018, 15:58:34 UTC |
08cc45c | marhamil723 | 25 January 2018, 20:44:40 UTC | Edit makefile | 29 January 2018, 15:56:46 UTC |
be931c8 | Mark Hamilton | 25 January 2018, 20:34:56 UTC | Update post-build.cmd | 29 January 2018, 15:56:45 UTC |
ba9c2e7 | Manik Jindal | 28 January 2018, 19:27:32 UTC | Fix build if optional MKLDNN is not present | 28 January 2018, 19:27:32 UTC |
950ac47 | Project Philly | 28 January 2018, 12:25:33 UTC | Integrate jaliyaek/config into master | 28 January 2018, 12:25:33 UTC |
dd47e21 | jaliyaek | 27 January 2018, 01:17:58 UTC | Making Halide default in Jenkin builds | 27 January 2018, 01:17:58 UTC |
343f383 | Manik Jindal | 26 January 2018, 22:55:22 UTC | Remove Python 3.4 support | 26 January 2018, 22:55:22 UTC |
ffc7507 | Project Philly | 25 January 2018, 07:14:14 UTC | Integrate jaliyaek/halide_squash2 into master | 25 January 2018, 07:14:14 UTC |
32c4e04 | zingdle | 25 January 2018, 04:10:16 UTC | Update CNTK_204_Sequence_To_Sequence.ipynb remove redundant code. create_reader() is correctly defined in block 10. | 25 January 2018, 04:10:16 UTC |
af26e4f | Emanuel Vecchio | 25 January 2018, 03:42:58 UTC | Fix TensorBoard on_write_test_summary method (#2878) | 25 January 2018, 03:42:58 UTC |
a7a52d7 | jaliyaek | 23 January 2018, 02:12:25 UTC | Adding halide based binary convolution operators and its dependancies | 25 January 2018, 00:41:17 UTC |
851ea5d | KeDengMS | 24 January 2018, 06:18:32 UTC | Fix linux binary drop script for nccl | 24 January 2018, 06:18:32 UTC |
387725d | KeDengMS | 24 January 2018, 03:28:47 UTC | Merge branch 'kedeng/fixDocker2' | 24 January 2018, 03:28:47 UTC |
9f6cced | KeDengMS | 23 January 2018, 21:44:01 UTC | Fix Dockerfiles under Tools/docker | 23 January 2018, 21:44:01 UTC |
a087490 | Project Philly | 23 January 2018, 20:16:49 UTC | Integrate sptiwari/remove_find_by_uid into master | 23 January 2018, 20:16:49 UTC |
a40285c | Thiago Crepaldi | 22 January 2018, 20:34:25 UTC | Rename default Anaconda python environment Depending on the CNTK setup steps followed, either cntk-py<version> or <cntkdev-py<version> is installed. cntk-py<version> will be adopted as the default from now on. | 23 January 2018, 18:43:51 UTC |
e883520 | Thiago Crepaldi | 23 January 2018, 01:08:35 UTC | Remove redefinition of CNTK_COMPONENT_VERSION Math.vcsproj inherits this macro from CNTK.Common.props already | 23 January 2018, 18:28:53 UTC |
3cf3af5 | KeDengMS | 23 January 2018, 00:58:56 UTC | CNTK support for CUDA 9 CNTK now supports CUDA 9/cuDNN 7. This requires an update to build environment to Ubuntu 16/GCC 5 for Linux, and Visual Studio 2017/VCTools 14.11 for Windows. With CUDA 9, CNTK also added a preview for 16-bit floating point (a.k.a FP16) computation. Please check out the example of FP16 in ResNet50 at /Examples/Image/Classification/ResNet/Python/TrainResNet_ImageNet_Distributed.py Notes on FP16 preview: * FP16 implementation on CPU is not optimized, and it's not supposed to be used in CPU inference directly. User needs to convert the model to 32-bit floating point before running on CPU. * Loss/Criterion for FP16 training needs to be 32bit for accumulation without overflow, using cast function. Please check the example above. * Readers do not have FP16 output unless using numpy to feed data, cast from FP32 to FP16 is needed. Please check the example above. * FP16 gradient aggregation is currently only implemented on GPU using NCCL2. Distributed training with FP16 with MPI is not supported. * FP16 math is a subset of current FP32 implementation. Some model may get Feature Not Implemented exception using FP16. * FP16 is currently not supported in BrainScript. Please use Python for FP16. To setup build and runtime environment on Windows: * Install [Visual Studio 2017](https://www.visualstudio.com/downloads/) with following workloads and components. From command line (use Community version installer as example): vs_community.exe --add Microsoft.VisualStudio.Workload.NativeDesktop --add Microsoft.VisualStudio.Workload.ManagedDesktop --add Microsoft.VisualStudio.Workload.Universal --add Microsoft.Component.PythonTools --add Microsoft.VisualStudio.Component.VC.Tools.14.11 * Install [NVidia CUDA 9](https://developer.nvidia.com/cuda-90-download-archive?target_os=Windows&target_arch=x86_64) * From PowerShell, run: /Tools/devInstall/Windows/DevInstall.ps1 * Start VCTools 14.11 command line, run: cmd /k "%VS2017INSTALLDIR%\VC\Auxiliary\Build\vcvarsall.bat" x64 --vcvars_ver=14.11 * Open /CNTK.sln from the VCTools 14.11 command line. Note that starting CNTK.sln other than VCTools 14.11 command line, would causes CUDA 9 [build error](https://developercommunity.visualstudio.com/content/problem/163758/vs-2017-155-doesnt-support-cuda-9.html). To setup build and runtime environment on Linux using docker, please build Unbuntu 16.04 docker image using Dockerfiles /Tools/docker. For other Linux systems, please refer to the Dockerfiles to setup dependent libraries for CNTK. | 23 January 2018, 00:58:56 UTC |
eeb0645 | Spandan Tiwari | 22 January 2018, 18:33:41 UTC | Removing find_by_uid API. | 22 January 2018, 18:33:41 UTC |
3765da9 | Manik Jindal | 20 January 2018, 01:59:03 UTC | Support CNTK installation in VirtualEnv CNTK installation using pip place dlls in the root folder of the python environment. Unlike Conda, VirtualEnv doesn't add this folder in library search path and hence 'import CNTK' is broken in VirtualEnv. Fix: Place CNTK libraries in site-packages/CNTK/lib and add the same to library search path. | 20 January 2018, 01:59:03 UTC |
997d3a1 | Thiago Crepaldi | 17 January 2018, 20:02:59 UTC | Replace CntkCsAssemblyVersion by CntkComponentVersion on VS projects | 19 January 2018, 22:36:34 UTC |
f36c73c | Project Philly | 19 January 2018, 19:41:04 UTC | Integrate sptiwari/find_by_uid4 into master | 19 January 2018, 19:41:04 UTC |
4836687 | Spandan Tiwari | 17 January 2018, 23:10:23 UTC | Fixing bug in ONNX pooling node serialization. | 17 January 2018, 23:10:23 UTC |
f07a98d | Spandan Tiwari | 17 January 2018, 22:35:23 UTC | Adding find_by_uid to logging API. | 17 January 2018, 22:35:23 UTC |
8066621 | Eldar Akchurin | 03 January 2018, 16:40:52 UTC | Fixing BPTT for case when the minibatch size changes | 17 January 2018, 01:20:23 UTC |
c3d01e4 | Eldar Akchurin | 03 January 2018, 14:34:32 UTC | Enabling evaluation on GPU | 17 January 2018, 01:20:23 UTC |
5bdaed7 | Project Philly | 16 January 2018, 23:27:02 UTC | Integrate yuqtang/TimesOnFreeAxes into master | 16 January 2018, 23:27:02 UTC |
10d7130 | Project Philly | 16 January 2018, 22:39:23 UTC | Integrate vadimma/LatticeSerializer into master | 16 January 2018, 22:39:23 UTC |
8b6af80 | Vadim Mazalov | 16 January 2018, 03:41:23 UTC | Update the max_sequence_length | 16 January 2018, 03:41:23 UTC |
05cbd0a | Vadim Mazalov | 16 January 2018, 00:40:06 UTC | Remove too much logging | 16 January 2018, 00:40:06 UTC |
e6dc1a4 | Vadim Mazalov | 15 January 2018, 23:22:11 UTC | Refactor lattice sequence initialization' | 15 January 2018, 23:22:11 UTC |
01c1509 | Katsuya Iida | 01 January 2018, 13:43:43 UTC | Fixed typos in tutorials. CNTK_206A_Basic_GAN.ipynb CNTK_206B_DCGAN.ipynb CNTK_206C_WGAN_LSGAN.ipynb | 15 January 2018, 12:39:06 UTC |
77c95a4 | Vadim Mazalov | 15 January 2018, 08:08:02 UTC | Trim lattice TOC line entries | 15 January 2018, 08:08:02 UTC |
d929ecd | Vadim Mazalov | 15 January 2018, 07:45:18 UTC | Add logs for lattice index builder | 15 January 2018, 07:45:18 UTC |
1a81d41 | KeDengMS | 15 January 2018, 07:32:12 UTC | Fix batch matmul test failures | 15 January 2018, 07:32:12 UTC |
d26f547 | Vadim Mazalov | 15 January 2018, 04:57:11 UTC | debug large lattice entries | 15 January 2018, 04:57:11 UTC |
1fe17f8 | Vadim Mazalov | 15 January 2018, 01:13:02 UTC | Add some debugging statements | 15 January 2018, 01:13:02 UTC |
f79324c | Vadim Mazalov | 15 January 2018, 00:17:15 UTC | Ensure the lattice serializer handles several chunks in a file | 15 January 2018, 00:17:15 UTC |
ea6834b | Vadim Mazalov | 14 January 2018, 17:57:29 UTC | Restrict the size of lattice | 14 January 2018, 17:57:29 UTC |