Metadata-Version: 2.1
Name: decopt
Version: 2.0.1
Summary: State of the art decentralized optimization library
Home-page: https://github.com/anishacharya/decentralized-opt
Author: Anish Acharya
Author-email: anishacharya@utexas.edu
License: UNKNOWN
Description: # Linearly Convergent Decentralized Learning with Arbitrary Communication Compression
        
        How do I run the Code? 
        ```
        A. Install our package: 
        pip3 install decopt
        
        (A.1) Often get the latest update:
         pip3 install decopt --upgrade 
        
        B. Get Data: 
        sh pull_data.sh breast_cancer
        
        c. Run script with default parameters: 
        python3 driver.py
        
        With different parameters:
        python3 driver.py --d 'mnist' --n_cores 10 --algorithms 'ours'
        
        
        Parameter Options:
        
        parser.add_argument('--d', type=str, default='breast_cancer',
                                help='Pass data-set')
            parser.add_argument('--r', type=str, default=os.path.join(curr_dir, './data/'),
                                help='Pass data root')
            parser.add_argument('--stochastic', type=bool, default=False)
            parser.add_argument('--algorithm', type=str, default='ours')
        
            parser.add_argument('--n_cores', type=int, default=9)
        
            parser.add_argument('--topology', type=str, default='ring')
            parser.add_argument('--Q', type=int, default=2)
            parser.add_argument('--consensus_lr', type=float, default=0.3)
        
            parser.add_argument('--quantization_function', type=str, default='full')
            parser.add_argument('--num_bits', type=int, default=2)
            parser.add_argument('--fraction_coordinates', type=float, default=0.1)
            parser.add_argument('--dropout_p', type=float, default=0.1)
        
            parser.add_argument('--epochs', type=int, default=10)
            parser.add_argument('--lr_type', type=str, default='constant')
            parser.add_argument('--initial_lr', type=float, default=0.01)
            parser.add_argument('--epoch_decay_lr', type=float, default=0.9)
            parser.add_argument('--regularizer', type=float, default=0)
        
            parser.add_argument('--estimate', type=str, default='final')
            parser.add_argument('--n_proc', type=int, default=3, help='no of parallel processors for Multi-proc')
            parser.add_argument('--n_repeat', type=int, default=3, help='no of times repeat exp with diff seed')
        ```
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
