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*.ini text
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*.simple text
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*.counts text
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*.labels text
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*.feats text
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*.ctf text
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*.post text
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*.cpu text
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*.gpu text
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*.rst text
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.gitattributes text
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.gitignore text
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.gitmodules text
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.clang-format text
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*.md text
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*.txt text
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*.TXT text
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*.html text
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*.lyx text
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*.bib text
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*.json text
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.gitkeep text
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KaldiReaderReadme text
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Readme text
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*.bat text
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*.cmd text
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*.py text
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*.ipynb text
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*.pl text
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*.ps1 text
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*.psm1 text
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*.ps text
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*.i text
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*.cmake text
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*.patch text
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*.sh text eol=lf
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*.awk text eol=lf
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build-and-test text eol=lf
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configure text eol=lf
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generate_build_info text eol=lf
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run-test text eol=lf
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run-test-common text eol=lf
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run-timit-test-common text eol=lf
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run-boost-test-common text eol=lf
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make_binary_drop_linux text eol=lf
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# Used from Unix / Cygwin 'md5sum -c', needs to have LF line endings:
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Tests/EndToEndTests/Examples/Speech/TIMIT/WriteBottleneck/expected_output_md5sum.*.txt eol=lf
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Tests/EndToEndTests/Examples/Speech/TIMIT/WriteScaledLogLike/expected_output_md5sum.*.txt eol=lf
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# Used by reader unit test, needs to keep LF line endings.
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Tests/UnitTests/ReaderTests/Data/CNTKTextFormatReader/invalid_inputs.txt eol=lf
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Makefile text
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*.sln text
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*.pyproj text
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*.vcxproj text
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*.vcxproj.filters text
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*.vssettings text
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*.csproj text
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*.props text
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*.asax text
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*.h text
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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.
2018-01-23 03:58:56 +03:00
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*.hpp text
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*.cpp text
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*.cc text
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*.cu text
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*.cuh text
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*.proto text
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*.cs text
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*.java text
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*.yml text
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*.yml.bak text
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*.config text
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*.cntk text
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*.bs text
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*.ndl text
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*.mel text
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*.xml text
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*.m text
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*.mlf text
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*.scp text
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*.list text
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*.log text
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*.prototxt text
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Dockerfile* text
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.dockerignore text
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# Speech data
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mean.363 text
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var.363 text
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prior.132 text
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# dot (graph description language) file
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*.dot text
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# AMI-specific
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Results text
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40fbank.conf text
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80fbank.conf text
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# SLU-specific
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atis.*.simple
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# TIMIT-specific
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*.fbank24_zda text
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TIMIT*.100 text
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TIMIT*.20 text
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TIMIT*.arpa text
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TIMIT*.cntk text
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TIMIT*.dnn_map text
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TIMIT*.fbank text
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TIMIT*.fullpath text
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TIMIT*.lookahead text
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TIMIT*.rnn text
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TIMIT*.statelist text
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TIMIT*.tfsa text
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TIMIT*.transitions text
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Examples/Evaluation/UWPImageRecognition/ImageRecognizerLib/utils.inl text
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Examples/LanguageUnderstanding/ATIS/Data/ATIS.* text
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Examples/LanguageUnderstanding/ATIS/BrainScript/*.wl text
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Examples/SequenceToSequence/CMUDict/Data/cmudict-0.7b* text
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Examples/Text/LightRNN/test/word-0.location text
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*.xaml text
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*.appxmanifest text
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# Binary extensions:
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*.ark binary
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*.chunk binary
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*.cmf binary
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*.docx binary
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*.jpg binary
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*.pdf binary
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*.png binary
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*.pptx binary
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*.snk binary
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*.vsdm binary
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*.zip binary
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*.dnn binary
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Examples/Image/Detection/FastRCNN/BrainScript/fastRCNN/*/*.pyd binary
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Examples/Image/Detection/FastRCNN/BrainScript/fastRCNN/*/*.so binary
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Examples/Image/Detection/utils/cython_modules/*.pyd binary
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Examples/Image/Detection/utils/cython_modules/*.so binary
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Tests/UnitTests/V2LibraryTests/data/*.bin binary
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Tests/UnitTests/ReaderTests/Data/CNTKBinaryReader/*.bin binary
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Tests/EndToEndTests/ParallelTraining/AsynchronousSGD/ASGD_Resnet.model.1 binary
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Examples/Extensibility/BinaryConvolution/BinaryConvolutionLib/halide/halide_convolve.a binary
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Examples/Extensibility/BinaryConvolution/BinaryConvolutionLib/halide/halide_convolve.lib binary
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Examples/Extensibility/BinaryConvolution/BinaryConvolutionLib/halide/halide_convolve_nofeatures.a binary
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Examples/Extensibility/BinaryConvolution/BinaryConvolutionLib/halide/halide_convolve_nofeatures.lib binary
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Tests/EndToEndTests/Speech/Data/mlf2.bin binary
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external/gsl text
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Source/CNTKv2LibraryDll/proto/onnx/onnx_repo text
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#certificates
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*.pfx binary
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