| from __future__ import division |
| from __future__ import print_function |
|
|
| import os.path as osp |
| import numpy as np |
| from easydict import EasyDict as edict |
|
|
|
|
| __C = edict() |
| cfg = __C |
|
|
| |
| __C.DATASET_NAME = 'birds' |
| __C.EMBEDDING_TYPE = 'cnn-rnn' |
| __C.CONFIG_NAME = '' |
| __C.GPU_ID = '0' |
| __C.CUDA = True |
| __C.WORKERS = 6 |
|
|
| __C.NET_G = '' |
| __C.NET_D = '' |
| __C.STAGE1_G = '' |
| __C.DATA_DIR = '' |
| __C.EVAL_DIR = '' |
| __C.VIS_COUNT = 64 |
|
|
| __C.Z_DIM = 100 |
| __C.RIRSIZE = 4096 |
| __C.STAGE = 1 |
|
|
|
|
| |
| __C.TRAIN = edict() |
| __C.TRAIN.FLAG = True |
| __C.TRAIN.BATCH_SIZE = 64 |
| __C.TRAIN.MAX_EPOCH = 600 |
| __C.TRAIN.SNAPSHOT_INTERVAL = 50 |
| __C.TRAIN.PRETRAINED_MODEL = '' |
| __C.TRAIN.PRETRAINED_EPOCH = 600 |
| __C.TRAIN.LR_DECAY_EPOCH = 600 |
| __C.TRAIN.DISCRIMINATOR_LR = 2e-4 |
| __C.TRAIN.GENERATOR_LR = 2e-4 |
|
|
| __C.TRAIN.COEFF = edict() |
| __C.TRAIN.COEFF.KL = 2.0 |
|
|
| |
| __C.GAN = edict() |
| __C.GAN.CONDITION_DIM = 128 |
| __C.GAN.DF_DIM = 64 |
| __C.GAN.GF_DIM = 128 |
| __C.GAN.R_NUM = 4 |
|
|
| __C.TEXT = edict() |
| __C.TEXT.DIMENSION = 1024 |
|
|
|
|
| def _merge_a_into_b(a, b): |
| """Merge config dictionary a into config dictionary b, clobbering the |
| options in b whenever they are also specified in a. |
| """ |
| if type(a) is not edict: |
| return |
|
|
| for k, v in a.items(): |
| |
| if k not in b: |
| raise KeyError('{} is not a valid config key'.format(k)) |
|
|
| |
| old_type = type(b[k]) |
| if old_type is not type(v): |
| if isinstance(b[k], np.ndarray): |
| v = np.array(v, dtype=b[k].dtype) |
| else: |
| raise ValueError(('Type mismatch ({} vs. {}) ' |
| 'for config key: {}').format(type(b[k]), |
| type(v), k)) |
|
|
| |
| if type(v) is edict: |
| try: |
| _merge_a_into_b(a[k], b[k]) |
| except: |
| print('Error under config key: {}'.format(k)) |
| raise |
| else: |
| b[k] = v |
|
|
|
|
| def cfg_from_file(filename): |
| """Load a config file and merge it into the default options.""" |
| import yaml |
| with open(filename, 'r') as f: |
| yaml_cfg = edict(yaml.load(f)) |
|
|
| _merge_a_into_b(yaml_cfg, __C) |
|
|