# Date : 3/17/17 # # This file is part of TensorArtist. from tartist.app import gan from tartist.app.gan import GANGraphKeys from tartist.core import get_env, get_logger from tartist.core.utils.naming import get_dump_directory, get_data_directory from tartist.nn import opr as O, optimizer, summary logger = get_logger(__file__) __envs__ = { 'dir': { 'root': get_dump_directory(__file__), 'data': get_data_directory('WellKnown/mnist') }, 'trainer': { 'learning_rate': 0.001, 'batch_size': 100, 'epoch_size': 500, 'nr_epochs': 100, 'env_flags': { 'log_device_placement': False } }, }
# Date : 2/27/17 # # This file is part of TensorArtist. from tartist.core import get_env, get_logger from tartist.core.utils.naming import get_dump_directory, get_data_directory from tartist.nn import opr as O, optimizer, summary import functools logger = get_logger(__file__) __envs__ = { 'dir': { 'root': get_dump_directory(__file__), 'data': get_data_directory('WellKnown/cifar') }, 'dataset': { 'nr_classes': 10 }, 'trainer': { 'learning_rate': 0.01, 'batch_size': 100, 'epoch_size': 500, 'nr_epochs': 100, 'env_flags': { 'log_device_placement': False } }, 'inference': { 'batch_size': 256,
# This file is part of TensorArtist. import re from tartist.app import gan from tartist.app.gan import GANGraphKeys from tartist.core import get_env, get_logger from tartist.core.utils.naming import get_dump_directory, get_data_directory from tartist.nn import opr as O, optimizer, summary logger = get_logger(__file__) __envs__ = { 'dir': { 'root': get_dump_directory(__file__), 'data': get_data_directory('Pix2Pix/edges2faces') }, 'dataset': { 'name': 'edges2shoes', 'db_a': 'train_edges_db', 'db_b': 'train_face_db', }, 'trainer': { 'learning_rate': 2e-4, 'batch_size': 64, 'epoch_size': 1000, 'nr_epochs': 200, 'nr_g_per_iter': 1, 'nr_d_per_iter': 1, }
# This file is part of TensorArtist. import re from tartist.app import gan from tartist.app.gan import GANGraphKeys from tartist.core import get_env, get_logger from tartist.core.utils.naming import get_dump_directory, get_data_directory from tartist.nn import opr as O, optimizer, summary logger = get_logger(__file__) __envs__ = { 'dir': { 'root': get_dump_directory(__file__), 'data': get_data_directory('Pix2Pix/edges2shoes') }, 'dataset': { 'name': 'edges2shoes', 'db_a': 'train_edges_db', 'db_b': 'train_shoes_db', }, 'trainer': { 'learning_rate': 2e-4, 'batch_size': 256, 'epoch_size': 1000, 'nr_epochs': 200, 'nr_g_per_iter': 1, 'nr_d_per_iter': 1, } }
# This file is part of TensorArtist. import re from tartist.app import gan from tartist.app.gan import GANGraphKeys from tartist.core import get_env, get_logger from tartist.core.utils.naming import get_dump_directory, get_data_directory from tartist.nn import opr as O, optimizer, summary logger = get_logger(__file__) __envs__ = { 'dir': { 'root': get_dump_directory(__file__), 'data': get_data_directory('Pix2Pix/happy2surprise') }, 'dataset': { 'name': 'happy2surprise', 'db_a': 'train_happy_db', 'db_b': 'train_surprise_db', }, 'trainer': { 'learning_rate': 2e-4, 'batch_size': 64, 'epoch_size': 1000, 'nr_epochs': 200, 'nr_g_per_iter': 1, 'nr_d_per_iter': 1, } }