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config.py
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config.py
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# GLOBAL
NUM_POINTS = 4096
FEATURE_OUTPUT_DIM = 256
RESULTS_FOLDER = "results/"
OUTPUT_FILE = "results/results.txt"
LOG_DIR = 'log/'
MODEL_FILENAME = "model.ckpt"
DATASET_FOLDER = '/mnt/data2/zwx/'
# TRAIN
BATCH_NUM_QUERIES = 2
TRAIN_POSITIVES_PER_QUERY = 2
TRAIN_NEGATIVES_PER_QUERY = 18
DECAY_STEP = 200000
DECAY_RATE = 0.7
BASE_LEARNING_RATE = 0.000005
MOMENTUM = 0.9
OPTIMIZER = 'ADAM'
MAX_EPOCH = 20
MARGIN_1 = 0.5
MARGIN_2 = 0.2
BN_INIT_DECAY = 0.5
BN_DECAY_DECAY_RATE = 0.5
BN_DECAY_CLIP = 0.99
RESUME = False
TRAIN_FILE = 'generating_queries/training_queries_baseline.pickle'
TEST_FILE = 'generating_queries/test_queries_baseline.pickle'
# LOSS
LOSS_FUNCTION = 'quadruplet'
LOSS_LAZY = True
TRIPLET_USE_BEST_POSITIVES = False
LOSS_IGNORE_ZERO_BATCH = False
# EVAL6
EVAL_BATCH_SIZE = 2
EVAL_POSITIVES_PER_QUERY = 4
EVAL_NEGATIVES_PER_QUERY = 12
EVAL_DATABASE_FILE = 'generating_queries/business_evaluation_database.pickle'
EVAL_QUERY_FILE = 'generating_queries/business_evaluation_query.pickle'
def cfg_str():
out_string = ""
for name in globals():
if not name.startswith("__") and not name.__contains__("cfg_str"):
#print(name, "=", globals()[name])
out_string = out_string + "cfg." + name + \
"=" + str(globals()[name]) + "\n"
return out_string