Python LazyImport示例

示例#1

from mask_rcnn.ops import postprocess_ops
from mask_rcnn.ops import roi_ops
from mask_rcnn.ops import spatial_transform_ops
from mask_rcnn.ops import training_ops

from mask_rcnn.utils.logging_formatter import logging

from mask_rcnn.utils.distributed_utils import MPI_is_distributed
from mask_rcnn.utils.distributed_utils import MPI_local_rank

from mask_rcnn.utils.meters import StandardMeter
from mask_rcnn.utils.metric_tracking import register_metric

from mask_rcnn.utils.lazy_imports import LazyImport
hvd = LazyImport("smdistributed.dataparallel.tensorflow")

MODELS = dict()


def create_optimizer(learning_rate, params):
    """Creates optimized based on the specified flags."""

    optimizer = tf.compat.v1.train.MomentumOptimizer(
        learning_rate, momentum=params['momentum'])

    if MPI_is_distributed():
        optimizer = hvd.DistributedOptimizer(
            optimizer,
            name=None,
            device_dense='/gpu:0',

示例#2

from mask_rcnn.ops import postprocess_ops
from mask_rcnn.ops import roi_ops
from mask_rcnn.ops import spatial_transform_ops
from mask_rcnn.ops import training_ops

from mask_rcnn.utils.logging_formatter import logging

from mask_rcnn.utils.distributed_utils import MPI_is_distributed
from mask_rcnn.utils.distributed_utils import MPI_local_rank

from mask_rcnn.utils.meters import StandardMeter
from mask_rcnn.utils.metric_tracking import register_metric

from mask_rcnn.utils.lazy_imports import LazyImport

hvd = LazyImport("horovod.tensorflow")

MODELS = dict()


def create_optimizer(learning_rate, params):
    """Creates optimized based on the specified flags."""

    optimizer = tf.compat.v1.train.MomentumOptimizer(
        learning_rate, momentum=params['momentum'])

    if MPI_is_distributed():
        optimizer = hvd.DistributedOptimizer(
            optimizer,
            name=None,
            device_dense='/gpu:0',