|  | 
 
| 我的prototxt内容只有这些 
 执行rknn.load_caffe(model='./lenet_train_test.prototxt', proto='caffe', blobs='./lenet_iter_10000.caffemodel')name: "LeNet"
layer {
  name: "input"
  type: "Input"
  top: "data"
  input_param {
    shape {
        dim: 1
        dim: 3
        dim: 32
        dim: 32
    }
  }
}
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"
    }
  }
}
报错
 
 这个500是哪里出来的?caffemodel转rknn有教程吗?给个链接,感谢!E Catch exception when loading caffe model: /home/lwd/bak/model/lenet_train_test.prototxt!
E Traceback (most recent call last):
E   File "rknn/api/rknn_base.py", line 404, in rknn.api.rknn_base.RKNNBase.load_caffe
E   File "rknn/base/RKNNlib/converter/caffeloader.py", line 1042, in rknn.base.RKNNlib.converter.caffeloader.CaffeLoader.load_blobs
E   File "rknn/base/RKNNlib/converter/caffeloader.py", line 935, in rknn.base.RKNNlib.converter.caffeloader.CaffeLoader.parse_blobs
E   File "rknn/base/RKNNlib/converter/caffeloader.py", line 358, in rknn.base.RKNNlib.converter.caffeloader.proc_blobs_convolution
E   File "/home/lwd/.local/lib/python3.5/site-packages/numpy/core/fromnumeric.py", line 292, in reshape
E     return _wrapfunc(a, 'reshape', newshape, order=order)
E   File "/home/lwd/.local/lib/python3.5/site-packages/numpy/core/fromnumeric.py", line 56, in _wrapfunc
E     return getattr(obj, method)(*args, **kwds)
E ValueError: cannot reshape array of size 500 into shape (20,3,5,5)
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