Py之fvcore：fvcore库的使用方法之详细攻略

"""Configs."""
from fvcore.common.config import CfgNode

# -----------------------------------------------------------------------------
# Config definition
# -----------------------------------------------------------------------------
_C = CfgNode()

# ---------------------------------------------------------------------------- #
# Training options.
# ---------------------------------------------------------------------------- #
_C.TRAIN = CfgNode()

# If True Train the model, else skip training.
_C.TRAIN.ENABLE = True

# Dataset.
_C.TRAIN.DATASET = "imagenet"

# Total mini-batch size.
_C.TRAIN.BATCH_SIZE = 256

# Evaluate model on test data every eval period epochs.
_C.TRAIN.EVAL_PERIOD = 10

# Save model checkpoint every checkpoint period epochs.
_C.TRAIN.CHECKPOINT_PERIOD = 10

# Resume training from the latest checkpoint in the output directory.
_C.TRAIN.AUTO_RESUME = True

# Path to the checkpoint to load the initial weight.
_C.TRAIN.CHECKPOINT_FILE_PATH = ""

# If True, reset epochs when loading checkpoint.
_C.TRAIN.CHECKPOINT_EPOCH_RESET = False

# If True, use FP16 for activations
_C.TRAIN.MIXED_PRECISION = False

_C = CfgNode()我的理解是类似于告诉你我建立了一个箱子，反正可以装东西了，下面你就可以王里面填写自己设置的内容了。