CNTK/.gitattributes

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Исходник Обычный вид История

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