来自Caffe错误：没有字段命名为“网”

我有来自Caffe C++的示例程序工作在我的电脑上，但最近重新编译来自Caffe后，我遇到这个错误，当我尝试运行程序：来自Caffe错误：没有字段命名为“网”

[libprotobuf ERROR google/protobuf/text_format.cc:245] Error parsing text-format caffe.NetParameter: 2:4: Message type "caffe.NetParameter" has no field named "net".
upgrade_proto.cpp:928] Check failed: ReadProtoFromTextFile(param_file, param) Failed to parse NetParameter file: /home/jack/Desktop/beeshiny/deploy.prototxt

我是否错过了某些东西，或者原型文件的语法已被更改？我deploy.prototxt文件（即我传递给C++程序）是这样的：

# The train/test net protocol buffer definition 
net: "/home/jack/Desktop/beeshiny/deploy_arch.prototxt" 
# test_iter specifies how many forward passes the test should carry out. 
# In the case of MNIST, we have test batch size 100 and 100 test iterations, 
# covering the full 10,000 testing images. 
test_iter: 100 
# Carry out testing every 500 training iterations. 
test_interval: 500 
# The base learning rate, momentum and the weight decay of the network. 
base_lr: 0.01 
momentum: 0.9 
weight_decay: 0.0005 
# The learning rate policy 
lr_policy: "inv" 
gamma: 0.0001 
power: 0.75 
# Display every 100 iterations 
display: 100 
# The maximum number of iterations 
max_iter: 10000 
# snapshot intermediate results 
snapshot: 5000 
snapshot_prefix: "lenet" 
# solver mode: CPU or GPU 
solver_mode: CPU

在上面的prototxt文件中引用的deploy_arch.prototxt文件的内容：

name: "LeNet" 
input: "data" 
input_shape { 
    dim: 10 
    dim: 1 
    dim: 24 
    dim: 24 
} 
layer { 
    name: "conv1" 
    type: "Convolution" 
    bottom: "data" 
    top: "conv1" 
    param { 
    lr_mult: 1 
    } 
    param { 
    lr_mult: 2 
    } 
    convolution_param { 
    num_output: 20 
    kernel_size: 5 
    stride: 1 
    weight_filler { 
     type: "xavier" 
    } 
    bias_filler { 
     type: "constant" 
    } 
    } 
} 
layer { 
    name: "pool1" 
    type: "Pooling" 
    bottom: "conv1" 
    top: "pool1" 
    pooling_param { 
    pool: MAX 
    kernel_size: 2 
    stride: 2 
    } 
} 
layer { 
    name: "conv2" 
    type: "Convolution" 
    bottom: "pool1" 
    top: "conv2" 
    param { 
    lr_mult: 1 
    } 
    param { 
    lr_mult: 2 
    } 
    convolution_param { 
    num_output: 50 
    kernel_size: 5 
    stride: 1 
    weight_filler { 
     type: "xavier" 
    } 
    bias_filler { 
     type: "constant" 
    } 
    } 
} 
layer { 
    name: "pool2" 
    type: "Pooling" 
    bottom: "conv2" 
    top: "pool2" 
    pooling_param { 
    pool: MAX 
    kernel_size: 2 
    stride: 2 
    } 
} 
layer { 
    name: "ip1" 
    type: "InnerProduct" 
    bottom: "pool2" 
    top: "ip1" 
    param { 
    lr_mult: 1 
    } 
    param { 
    lr_mult: 2 
    } 
    inner_product_param { 
    num_output: 500 
    weight_filler { 
     type: "xavier" 
    } 
    bias_filler { 
     type: "constant" 
    } 
    } 
} 
layer { 
    name: "relu1" 
    type: "ReLU" 
    bottom: "ip1" 
    top: "ip1" 
} 
layer { 
    name: "ip2" 
    type: "InnerProduct" 
    bottom: "ip1" 
    top: "ip2" 
    param { 
    lr_mult: 1 
    } 
    param { 
    lr_mult: 2 
    } 
    inner_product_param { 
    num_output: 3 
    weight_filler { 
     type: "xavier" 
    } 
    bias_filler { 
     type: "constant" 
    } 
    } 
} 
layer { 
    name: "loss" 
    type: "Softmax" 
    bottom: "ip2" 
    top: "loss" 
}

我不不明白为什么突然停止工作，除非更新导致我的原型文件文件过时？

来源

2015-09-09 Jack Simpson

错误消息是关于'... beeshiny/deploy.prototxt'而求解器具有'.../deploy_arch.prototxt' - 这可能是相关的吗？你能展示部署模型的前几行吗？ – Shai

非常感谢Shai，我用另一个prototxt文件更新了这个问题，并明确了我传递给C++程序的那个问题。 –

你的'deploy.prototxt'不是描述一个网络，而是一个**求解器**。您的分类器需要网络描述，因此无法解析解算器。 – Shai

我解决了我的问题，在$PYTHONPATH中加入caffe/python。

来源

2016-06-02 01:30:12 user3835707

来自Caffe错误：没有字段命名为“网”

回答

相关问题