Proto commits in microsoft/CNTK

These 25 commits are when the Protocol Buffers files have changed:

2018-06-28

update to ONNX1.2.2

The documentation is generated from this commit.

2018-06-13

EMBR

2018-06-08

updatre onnx 1.2.1

2018-06-04

Add ONNX 1.2 support

2018-05-22

Adding int16 support for model saving in CNTK

2018-05-09

Making the int8 data serialized in to byte array at the protobuf layer

2018-05-01

Adding int8 support for NDArrayView

2018-03-14

update with ONNXIR

2018-01-23

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.

2017-12-29

master_debug

master_debug

2017-12-08

EMBR_v1_notabs

2017-11-30

integrate with LotusRT

2017-11-16

Integrating LotusIR and a few CNTK-ONNX fixes

2017-10-10

Adding ONNX format support to CNTK.

2017-08-02

Restore/reload constant values When restoring from a checkpoint, not only parameter but also constant values should be reloaded. Closes #2175.

2017-01-21

Initial support for writing TensorBoard event files.

2016-12-12

updating client app

2016-11-29

interim checkin

2016-11-10

initial testing app

2016-11-06

remove old stuff

2016-11-05

Improve v2 serialization, add UTs Add arenas for allocating protobuf messages. Add Save/Load methods to Dictionary/DictionaryValue. Add error checking to GetFStream (barf on non-existent files). Add unit tests to verify backward/forward compat.

2016-11-04

graph testing

2016-10-25

merged from master

2016-10-24

Add protobuf-based serialization