Revision fbe030b0dcfdc336eb10b80cbb28c37f3e3496b2 authored by KeDengMS on 10 November 2017, 19:48:16 UTC, committed by KeDengMS on 10 November 2017, 19:48:16 UTC
On Linux: sudo mkdir /usr/local/mklml sudo wget https://github.com/01org/mkl-dnn/releases/download/v0.11/mklml_lnx_2018.0.1.20171007.tgz sudo tar -xzf mklml_lnx_2018.0.1.20171007.tgz -C /usr/local/mklml On Windows: Create a directory on your machine to hold MKLML, e.g. mkdir c:\local\mklml Download the file [mklml_win_2018.0.1.20171007.zip](https://github.com/01org/mkl-dnn/releases/download/v0.11/mklml_win_2018.0.1.20171007.zip). Unzip it into your MKLML path, creating a versioned sub directory within. Set the environment variable `MKLML_PATH` to the versioned sub directory, e.g. setx MKLML_PATH c:\local\mklml\mklml_win_2018.0.1.20171007 This change also enables CPU convolution forward/backward using MKL, which leads to ~4x speedup in AlexNet training.
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File | Mode | Size |
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Manual_How_to_create_user_minibatch_sources.ipynb | -rw-r--r-- | 24.8 KB |
Manual_How_to_debug.ipynb | -rw-r--r-- | 159.7 KB |
Manual_How_to_feed_data.ipynb | -rw-r--r-- | 51.7 KB |
Manual_How_to_train_using_declarative_and_imperative_API.ipynb | -rw-r--r-- | 28.5 KB |
Manual_How_to_use_learners.ipynb | -rw-r--r-- | 41.7 KB |
Manual_How_to_write_a_custom_deserializer.ipynb | -rw-r--r-- | 19.2 KB |
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