Python core.InjectDeviceCopiesAmongNets方法代碼示例

本文整理匯總了Python中caffe2.python.core.InjectDeviceCopiesAmongNets方法的典型用法代碼示例。如果您正苦於以下問題：Python core.InjectDeviceCopiesAmongNets方法的具體用法？Python core.InjectDeviceCopiesAmongNets怎麽用？Python core.InjectDeviceCopiesAmongNets使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類caffe2.python.core的用法示例。

在下文中一共展示了core.InjectDeviceCopiesAmongNets方法的3個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。

示例1: convert_model_gpu

# 需要導入模塊: from caffe2.python import core [as 別名]
# 或者: from caffe2.python.core import InjectDeviceCopiesAmongNets [as 別名]
def convert_model_gpu(args, net, init_net):
    assert args.device == 'gpu'

    ret_net = copy.deepcopy(net)
    ret_init_net = copy.deepcopy(init_net)

    cdo_cuda = mutils.get_device_option_cuda()
    cdo_cpu = mutils.get_device_option_cpu()

    CPU_OPS = [
        ["CollectAndDistributeFpnRpnProposals", None],
        ["GenerateProposals", None],
        ["BBoxTransform", None],
        ["BoxWithNMSLimit", None],
    ]
    CPU_BLOBS = ["im_info", "anchor"]

    @op_filter()
    def convert_op_gpu(op):
        for x in CPU_OPS:
            if mutils.filter_op(op, type=x[0], inputs=x[1]):
                return None
        op.device_option.CopyFrom(cdo_cuda)
        return [op]

    @op_filter()
    def convert_init_op_gpu(op):
        if op.output[0] in CPU_BLOBS:
            op.device_option.CopyFrom(cdo_cpu)
        else:
            op.device_option.CopyFrom(cdo_cuda)
        return [op]

    convert_op_in_proto(ret_init_net.Proto(), convert_init_op_gpu)
    convert_op_in_proto(ret_net.Proto(), convert_op_gpu)

    ret = core.InjectDeviceCopiesAmongNets([ret_init_net, ret_net])

    return [ret[0][1], ret[0][0]]

開發者ID:yihui-he，項目名稱:KL-Loss，代碼行數:41，代碼來源:convert_pkl_to_pb.py

示例2: convert_model_gpu

# 需要導入模塊: from caffe2.python import core [as 別名]
# 或者: from caffe2.python.core import InjectDeviceCopiesAmongNets [as 別名]
def convert_model_gpu(args, net, init_net):
    assert args.device == 'gpu'

    ret_net = copy.deepcopy(net)
    ret_init_net = copy.deepcopy(init_net)

    cdo_cuda = mutils.get_device_option_cuda()
    cdo_cpu = mutils.get_device_option_cpu()

    CPU_OPS = [
        ["GenerateProposals", None],
        ["BBoxTransform", None],
        ["BoxWithNMSLimit", None],
    ]
    CPU_BLOBS = ["im_info", "anchor"]

    @op_filter()
    def convert_op_gpu(op):
        for x in CPU_OPS:
            if mutils.filter_op(op, type=x[0], inputs=x[1]):
                return None
        op.device_option.CopyFrom(cdo_cuda)
        return [op]

    @op_filter()
    def convert_init_op_gpu(op):
        if op.output[0] in CPU_BLOBS:
            op.device_option.CopyFrom(cdo_cpu)
        else:
            op.device_option.CopyFrom(cdo_cuda)
        return [op]

    convert_op_in_proto(ret_init_net.Proto(), convert_init_op_gpu)
    convert_op_in_proto(ret_net.Proto(), convert_op_gpu)

    ret = core.InjectDeviceCopiesAmongNets([ret_init_net, ret_net])

    return [ret[0][1], ret[0][0]]

開發者ID:ronghanghu，項目名稱:seg_every_thing，代碼行數:40，代碼來源:convert_pkl_to_pb.py

示例3: convert_model_gpu

# 需要導入模塊: from caffe2.python import core [as 別名]
# 或者: from caffe2.python.core import InjectDeviceCopiesAmongNets [as 別名]
def convert_model_gpu(args, net, init_net):
    assert args.device == "gpu"

    ret_net = copy.deepcopy(net)
    ret_init_net = copy.deepcopy(init_net)

    cdo_cuda = mutils.get_device_option_cuda()
    cdo_cpu = mutils.get_device_option_cpu()

    CPU_OPS = [
        ["CollectAndDistributeFpnRpnProposals", None],
        ["GenerateProposals", None],
        ["BBoxTransform", None],
        ["BoxWithNMSLimit", None],
    ]
    CPU_BLOBS = ["im_info", "anchor"]

    @op_filter()
    def convert_op_gpu(op):
        for x in CPU_OPS:
            if mutils.filter_op(op, type=x[0], inputs=x[1]):
                return None
        op.device_option.CopyFrom(cdo_cuda)
        return [op]

    @op_filter()
    def convert_init_op_gpu(op):
        if op.output[0] in CPU_BLOBS:
            op.device_option.CopyFrom(cdo_cpu)
        else:
            op.device_option.CopyFrom(cdo_cuda)
        return [op]

    convert_op_in_proto(ret_init_net.Proto(), convert_init_op_gpu)
    convert_op_in_proto(ret_net.Proto(), convert_op_gpu)

    ret = core.InjectDeviceCopiesAmongNets([ret_init_net, ret_net])

    return [ret[0][1], ret[0][0]]

開發者ID:facebookresearch，項目名稱:Detectron，代碼行數:41，代碼來源:convert_pkl_to_pb.py

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