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Python源码示例：fast.GPU_ID

示例1
def nms(dets, thresh, force_cpu=False):
    """Dispatch to either CPU or GPU NMS implementations."""

    if dets.shape[0] == 0:
        return []
    if cfg.USE_GPU_NMS and not force_cpu:
        return gpu_nms(dets, thresh, device_id=cfg.GPU_ID)
    else:
        return cpu_nms(dets, thresh)
示例2
def _init_caffe(cfg):
    """Initialize pycaffe in a training process.
    """

    import caffe
    # fix the random seeds (numpy and caffe) for reproducibility
    np.random.seed(cfg.RNG_SEED)
    caffe.set_random_seed(cfg.RNG_SEED)
    # set up caffe
    caffe.set_mode_gpu()
    caffe.set_device(cfg.GPU_ID)
示例3
def nms(dets, thresh, force_cpu=False):
    """Dispatch to either CPU or GPU NMS implementations."""

    if dets.shape[0] == 0:
        return []
    if cfg.USE_GPU_NMS and not force_cpu:
        return gpu_nms(dets, thresh, device_id=cfg.GPU_ID)
    else:
        return cpu_nms(dets, thresh)
示例4
def _init_caffe(cfg):
    """Initialize pycaffe in a training process.
    """

    import caffe
    # fix the random seeds (numpy and caffe) for reproducibility
    np.random.seed(cfg.RNG_SEED)
    caffe.set_random_seed(cfg.RNG_SEED)
    # set up caffe
    caffe.set_mode_gpu()
    caffe.set_device(cfg.GPU_ID)
示例5
def nms(dets, thresh, force_cpu=False):
    """Dispatch to either CPU or GPU NMS implementations."""

    if dets.shape[0] == 0:
        return []
    if cfg.USE_GPU_NMS and not force_cpu:
        return gpu_nms(dets, thresh, device_id=cfg.GPU_ID)
    else:
        return cpu_nms(dets, thresh)
示例6
def nms(dets, thresh, force_cpu=False):
    """Dispatch to either CPU or GPU NMS implementations."""

    if dets.shape[0] == 0:
        return []
    if cfg.USE_GPU_NMS and not force_cpu:
        return gpu_nms(dets, thresh, device_id=cfg.GPU_ID)
    else:
        return cpu_nms(dets, thresh)
示例7
def nms(dets, thresh, force_cpu=False):
    """Dispatch to either CPU or GPU NMS implementations."""

    if dets.shape[0] == 0:
        return []
    if cfg.USE_GPU_NMS and not force_cpu:
        return gpu_nms(dets, thresh, device_id=cfg.GPU_ID)
    else:
        return cpu_nms(dets, thresh)
示例8
def _init_caffe(cfg):
    """Initialize pycaffe in a training process.
    """

    import caffe
    # fix the random seeds (numpy and caffe) for reproducibility
    np.random.seed(cfg.RNG_SEED)
    caffe.set_random_seed(cfg.RNG_SEED)
    # set up caffe
    caffe.set_mode_gpu()
    caffe.set_device(cfg.GPU_ID)
示例9
def _init_caffe(cfg):
    """Initialize pycaffe in a training process.
    """

    import caffe
    # fix the random seeds (numpy and caffe) for reproducibility
    np.random.seed(cfg.RNG_SEED)
    caffe.set_random_seed(cfg.RNG_SEED)
    # set up caffe
    caffe.set_mode_gpu()
    caffe.set_device(cfg.GPU_ID)
示例10
def _init_caffe(cfg):
    """Initialize pycaffe in a training process.
    """

    import caffe
    # fix the random seeds (numpy and caffe) for reproducibility
    np.random.seed(cfg.RNG_SEED)
    caffe.set_random_seed(cfg.RNG_SEED)
    # set up caffe
    caffe.set_mode_gpu()
    caffe.set_device(cfg.GPU_ID)
示例11
def solve(proto, roidb, pretrained_model, gpus, uid, rank, output_dir, max_iter,
          reload):
    caffe.set_device(gpus[rank])
    caffe.set_mode_gpu()
    caffe.set_solver_count(len(gpus))

    caffe.set_solver_rank(rank)

    caffe.set_multiprocess(True)
    cfg.GPU_ID = gpus[rank]

    solverW = SolverWrapper(solver_prototxt=proto, roidb=roidb,
                            output_dir=output_dir, gpu_id=rank,
                            pretrained_model=pretrained_model, reload=reload)
    solver = solverW.get_solver()
    nccl = caffe.NCCL(solver, uid)
    nccl.bcast()
    solver.add_callback(nccl)

    if solver.param.layer_wise_reduce:
        solver.net.after_backward(nccl)
    while solver.iter < max_iter:
        solver.step(1)

        if solver.iter % cfg.TRAIN.SNAPSHOT_ITERS == 0 and rank == 0:
            solverW.snapshot()
示例12
def nms(dets, thresh, force_cpu=False):
    """Dispatch to either CPU or GPU NMS implementations."""

    if dets.shape[0] == 0:
        return []
    if cfg.USE_GPU_NMS and not force_cpu:
        return gpu_nms(dets, thresh, device_id=cfg.GPU_ID)
    else:
        return cpu_nms(dets, thresh)
示例13
def nms(dets, thresh):
    """Dispatch to either CPU or GPU NMS implementations."""

    if dets.shape[0] == 0:
        return []
    if cfg.USE_GPU_NMS:
        return gpu_nms(dets, thresh, device_id=cfg.GPU_ID)
    else:
        return cpu_nms(dets, thresh)
示例14
def nms(dets, thresh, force_cpu=False):
    """Dispatch to either CPU or GPU NMS implementations."""

    if dets.shape[0] == 0:
        return []
    if cfg.USE_GPU_NMS and not force_cpu:
        return gpu_nms(dets, thresh, device_id=cfg.GPU_ID)
    else:
        return cpu_nms(dets, thresh)
示例15
def _init_caffe(cfg):
    """Initialize pycaffe in a training process.
    """

    import caffe
    # fix the random seeds (numpy and caffe) for reproducibility
    np.random.seed(cfg.RNG_SEED)
    caffe.set_random_seed(cfg.RNG_SEED)
    # set up caffe
    caffe.set_mode_gpu()
    caffe.set_device(cfg.GPU_ID)
示例16
def nms(dets, thresh, force_cpu=False):
    """Dispatch to either CPU or GPU NMS implementations."""

    if dets.shape[0] == 0:
        return []
    if cfg.USE_GPU_NMS and not force_cpu:
        return gpu_nms(dets, thresh, device_id=cfg.GPU_ID)
    else:
        return cpu_nms(dets, thresh)
示例17
def _init_caffe(cfg):
    """Initialize pycaffe in a training process.
    """

    import caffe
    # fix the random seeds (numpy and caffe) for reproducibility
    np.random.seed(cfg.RNG_SEED)
    caffe.set_random_seed(cfg.RNG_SEED)
    # set up caffe
    caffe.set_mode_gpu()
    caffe.set_device(cfg.GPU_ID)
示例18
def _init_caffe(cfg):
    """Initialize pycaffe in a training process.
    """

    import caffe
    # fix the random seeds (numpy and caffe) for reproducibility
    np.random.seed(cfg.RNG_SEED)
    caffe.set_random_seed(cfg.RNG_SEED)
    # set up caffe
    caffe.set_mode_gpu()
    caffe.set_device(cfg.GPU_ID)
示例19
def _init_caffe(cfg):
    """Initialize pycaffe in a training process.
    """

    import caffe
    # fix the random seeds (numpy and caffe) for reproducibility
    np.random.seed(cfg.RNG_SEED)
    caffe.set_random_seed(cfg.RNG_SEED)
    # set up caffe
    caffe.set_mode_gpu()
    caffe.set_device(cfg.GPU_ID)
示例20
def _init_caffe(cfg):
    """Initialize pycaffe in a training process.
    """

    import caffe
    # fix the random seeds (numpy and caffe) for reproducibility
    np.random.seed(cfg.RNG_SEED)
    caffe.set_random_seed(cfg.RNG_SEED)
    # set up caffe
    caffe.set_mode_gpu()
    caffe.set_device(cfg.GPU_ID)
示例21
def _init_caffe(cfg):
    """Initialize pycaffe in a training process.
    """

    import caffe
    # fix the random seeds (numpy and caffe) for reproducibility
    np.random.seed(cfg.RNG_SEED)
    caffe.set_random_seed(cfg.RNG_SEED)
    # set up caffe
    caffe.set_mode_gpu()
    caffe.set_device(cfg.GPU_ID)
示例22
def _init_caffe(cfg):
    """Initialize pycaffe in a training process.
    """

    import caffe
    # fix the random seeds (numpy and caffe) for reproducibility
    np.random.seed(cfg.RNG_SEED)
    caffe.set_random_seed(cfg.RNG_SEED)
    # set up caffe
    caffe.set_mode_gpu()
    caffe.set_device(cfg.GPU_ID)
示例23
def gpu_conf(cfg, gpu_id=None):

            if gpu_id==None:
                DEVICE_ID_LIST = GPUtil.getFirstAvailable()
                if (len(DEVICE_ID_LIST) > 0):
                    cfg.GPU_ID = DEVICE_ID_LIST[0]  # grab first element from list
            else:
                cfg.GPU_ID=gpu_id

            return cfg