examples/elastic/pytorch_synthetic_benchmark_elastic.py [18:27]: - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - help='model to benchmark') parser.add_argument('--batch-size', type=int, default=32, help='input batch size') parser.add_argument('--num-warmup-batches', type=int, default=10, help='number of warm-up batches that don\'t count towards benchmark') parser.add_argument('--num-batches-per-iter', type=int, default=10, help='number of batches per benchmark iteration') parser.add_argument('--num-iters', type=int, default=10, help='number of benchmark iterations') - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - examples/tensorflow_synthetic_benchmark.py [17:26]: - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - help='model to benchmark') parser.add_argument('--batch-size', type=int, default=32, help='input batch size') parser.add_argument('--num-warmup-batches', type=int, default=10, help='number of warm-up batches that don\'t count towards benchmark') parser.add_argument('--num-batches-per-iter', type=int, default=10, help='number of batches per benchmark iteration') parser.add_argument('--num-iters', type=int, default=10, help='number of benchmark iterations') - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - examples/tensorflow2_synthetic_benchmark.py [31:40]: - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - help='model to benchmark') parser.add_argument('--batch-size', type=int, default=32, help='input batch size') parser.add_argument('--num-warmup-batches', type=int, default=10, help='number of warm-up batches that don\'t count towards benchmark') parser.add_argument('--num-batches-per-iter', type=int, default=10, help='number of batches per benchmark iteration') parser.add_argument('--num-iters', type=int, default=10, help='number of benchmark iterations') - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - examples/pytorch_synthetic_benchmark.py [18:27]: - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - help='model to benchmark') parser.add_argument('--batch-size', type=int, default=32, help='input batch size') parser.add_argument('--num-warmup-batches', type=int, default=10, help='number of warm-up batches that don\'t count towards benchmark') parser.add_argument('--num-batches-per-iter', type=int, default=10, help='number of batches per benchmark iteration') parser.add_argument('--num-iters', type=int, default=10, help='number of benchmark iterations') - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - examples/elastic/tensorflow2_synthetic_benchmark_elastic.py [31:40]: - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - help='model to benchmark') parser.add_argument('--batch-size', type=int, default=32, help='input batch size') parser.add_argument('--num-warmup-batches', type=int, default=10, help='number of warm-up batches that don\'t count towards benchmark') parser.add_argument('--num-batches-per-iter', type=int, default=10, help='number of batches per benchmark iteration') parser.add_argument('--num-iters', type=int, default=10, help='number of benchmark iterations') - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -