Python caffe2.python.core.InjectDeviceCopiesAmongNets() Examples

The following are 8 code examples of caffe2.python.core.InjectDeviceCopiesAmongNets(). You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may also want to check out all available functions/classes of the module caffe2.python.core , or try the search function .
Example #1
Source File: convert_pkl_to_pb.py    From KL-Loss with Apache License 2.0 5 votes vote down vote up 
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]]
Example #2
Source File: convert_pkl_to_pb.py    From Clustered-Object-Detection-in-Aerial-Image with Apache License 2.0 5 votes vote down vote up 
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]]
Example #3
Source File: convert_pkl_to_pb.py    From seg_every_thing with Apache License 2.0 5 votes vote down vote up 
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]]
Example #4
Source File: convert_pkl_to_pb.py    From Detectron-Cascade-RCNN with Apache License 2.0 5 votes vote down vote up 
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]]
Example #5
Source File: convert_pkl_to_pb.py    From Detectron with Apache License 2.0 5 votes vote down vote up 
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]]
Example #6
Source File: convert_pkl_to_pb.py    From Detectron-DA-Faster-RCNN with Apache License 2.0 5 votes vote down vote up 
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]]
Example #7
Source File: convert_pkl_to_pb.py    From CBNet with Apache License 2.0 5 votes vote down vote up 
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]]
Example #8
Source File: convert_pkl_to_pb.py    From NucleiDetectron with Apache License 2.0 5 votes vote down vote up 
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]]