Dong Meng mengdong

## analyze_dataset_op.py
if __name__ == "__main__":
    parquet_dataset = "dongm-debug"
    n_workers = 4
    device_limit_frac = 0.8
    device_pool_frac = 0.9
    part_mem_frac = 0.125

    import etl
    import logging
    import os

## build-tensorflow-from-source.md

      
        
          
            
              
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                mengdong
                / build-tensorflow-from-source.md
            
            
              Created
              January 31, 2019 23:51
                — forked from Brainiarc7/build-tensorflow-from-source.md
            
              
                Build Tensorflow from source, for better performance on Ubuntu.
              
          
        
      
        
  
      
    Building Tensorflow from source on Ubuntu 16.04LTS for maximum performance:
TensorFlow is now distributed under an Apache v2 open source license on GitHub.
On Ubuntu 16.04LTS+:
Step 1. Install NVIDIA CUDA:
To use TensorFlow with NVIDIA GPUs, the first step is to install the CUDA Toolkit as shown:
	if __name__ == "__main__":
	parquet_dataset = "dongm-debug"
	n_workers = 4
	device_limit_frac = 0.8
	device_pool_frac = 0.9
	part_mem_frac = 0.125

	import etl
	import logging
	import os