我们从Python开源项目中，提取了以下12个代码示例，用于说明如何使用caffe.proto.caffe_pb2.TEST。
def resnet(n=3, num_output = 16): """6n+2, n=3 9 18 coresponds to 20 56 110 layers""" net_name = "resnet-" pt_folder = osp.join(osp.abspath(osp.curdir), net_name +str(6*n+2)) name = net_name+str(6*n+2)+'-cifar10' if n > 18: # warm up solver = Solver(solver_name="solver_warm.prototxt", folder=pt_folder, lr_policy=Solver.policy.fixed) solver.p.base_lr = 0.01 solver.set_max_iter(500) solver.write() del solver solver = Solver(folder=pt_folder) solver.write() del solver builder = Net(name) builder.Data('cifar-10-batches-py/train', phase='TRAIN', crop_size=32) builder.Data('cifar-10-batches-py/test', phase='TEST') builder.resnet_cifar(n, num_output=num_output) builder.write(folder=pt_folder)
def resnet_orth(n=3): """6n+2, n=3 9 18 coresponds to 20 56 110 layers""" net_name = "resnet-orth-" pt_folder = osp.join(osp.abspath(osp.curdir), net_name +str(6*n+2)) name = net_name+str(6*n+2)+'-cifar10' if n > 18: # warm up solver = Solver(solver_name="solver_warm.prototxt", folder=pt_folder, lr_policy=Solver.policy.fixed) solver.p.base_lr = 0.01 solver.set_max_iter(500) solver.write() del solver solver = Solver(folder=pt_folder) solver.write() del solver builder = Net(name) builder.Data('cifar-10-batches-py/train', phase='TRAIN', crop_size=32) builder.Data('cifar-10-batches-py/test', phase='TEST') builder.resnet_cifar(n, orth=True) builder.write(folder=pt_folder)
def _get_include(phase): inc = caffe_pb2.NetStateRule() if phase == 'train': inc.phase = caffe_pb2.TRAIN elif phase == 'test': inc.phase = caffe_pb2.TEST else: raise ValueError("Unknown phase {}".format(phase)) return inc
def transform_param(self, mean_value=128, batch_size=128, scale=.0078125, mirror=1, crop_size=None, mean_file_size=None, phase=None): new_transform_param = self.this.transform_param new_transform_param.scale = scale new_transform_param.mean_value.extend([mean_value]) if phase is not None and phase == 'TEST': return new_transform_param.mirror = mirror if crop_size is not None: new_transform_param.crop_size = crop_size
def include(self, phase='TRAIN'): if phase is not None: includes = self.this.include.add() if phase == 'TRAIN': includes.phase = caffe_pb2.TRAIN elif phase == 'TEST': includes.phase = caffe_pb2.TEST else: NotImplementedError #************************** inplace **************************
def transform_param(self, mean_value=128, batch_size=128, scale=.0078125, mirror=1, crop_size=None, mean_file_size=None, phase=None): new_transform_param = self.this.transform_param if scale != 1: new_transform_param.scale = scale if isinstance(mean_value, list): new_transform_param.mean_value.extend(mean_value) else: new_transform_param.mean_value.extend([mean_value]) if phase is not None and phase == 'TEST': return new_transform_param.mirror = mirror if crop_size is not None: new_transform_param.crop_size = crop_size
def BatchNorm(self, name=None, inplace=True,eps=1e-5): moving_average_fraction = 0 if not inplace: bottom = self.this.name # train bn_name = self.suffix('bn', name) self.setup(bn_name, 'BatchNorm', inplace=inplace) # self.include() self.param(lr_mult=0, decay_mult=0) self.param(lr_mult=0, decay_mult=0) self.param(lr_mult=0, decay_mult=0) batch_norm_param = self.this.batch_norm_param if eps != 1e-5: batch_norm_param.eps = eps return bn_name # batch_norm_param.use_global_stats = False #batch_norm_param.moving_average_fraction = moving_average_fraction # test # if not inplace: # self.setup(bn_name, 'BatchNorm', inplace=inplace, bottom=[bottom]) # else: # self.setup(bn_name, 'BatchNorm', inplace=inplace) # self.include(phase='TEST') # self.param(lr_mult=0, decay_mult=0) # self.param(lr_mult=0, decay_mult=0) # self.param(lr_mult=0, decay_mult=0) # batch_norm_param = self.this.batch_norm_param # batch_norm_param.use_global_stats = True # batch_norm_param.moving_average_fraction = moving_average_fraction
def plain(n=3): """6n+2, n=3 9 18 coresponds to 20 56 110 layers""" net_name = "plain" pt_folder = osp.join(osp.abspath(osp.curdir), net_name +str(6*n+2)) name = net_name+str(6*n+2)+'-cifar10' solver = Solver(folder=pt_folder) solver.write() del solver builder = Net(name) builder.Data('cifar-10-batches-py/train', phase='TRAIN', crop_size=32) builder.Data('cifar-10-batches-py/test', phase='TEST') builder.plain_cifar(n, num_output = 16) builder.write(folder=pt_folder)
def plain_orth(n=3): """6n+2, n=3 5 7 9 18 coresponds to 20 56 110 layers""" net_name = "plain-orth" pt_folder = osp.join(osp.abspath(osp.curdir), net_name +str(6*n+2)) name = net_name+str(6*n+2)+'-cifar10' solver = Solver(folder=pt_folder) solver.write() del solver builder = Net(name) builder.Data('cifar-10-batches-py/train', phase='TRAIN', crop_size=32) builder.Data('cifar-10-batches-py/test', phase='TEST') builder.plain_cifar(n, orth=True) builder.write(folder=pt_folder)
def plain_orth_v1(n=3): """6n+2, n=3 5 7 9 18 coresponds to 20 32 44 56 110 layers""" net_name = "plain-orth-v1-" pt_folder = osp.join(osp.abspath(osp.curdir), net_name +str(6*n+2)) name = net_name+str(6*n+2)+'-cifar10' solver = Solver(folder=pt_folder) solver.write() del solver builder = Net(name) builder.Data('cifar-10-batches-py/train', phase='TRAIN', crop_size=32) builder.Data('cifar-10-batches-py/test', phase='TEST') builder.plain_cifar(n, orth=True, inplace=False, num_output = 16) builder.write(folder=pt_folder)
def acc(n=3): """6n+2, n=3 9 18 coresponds to 20 56 110 layers""" net_name = "plain" pt_folder = osp.join(osp.abspath(osp.curdir), net_name +str(6*n+2)) name = net_name+str(6*n+2)+'-cifar10' solver = Solver(folder=pt_folder) solver.write() del solver builder = Net(name) builder.Data('cifar-10-batches-py/train', phase='TRAIN', crop_size=32) builder.Data('cifar-10-batches-py/test', phase='TEST') builder.plain_cifar(n, num_output = 16, inplace=False) builder.write(folder=pt_folder)
