Regarding Caffe Cifar example conv1 layer output dimension

[王驰航]

as specified in cifar10_quick_train_test.prototxt, the pool1 layer is defined as follow:

layer {

  name: "pool1"

  type: "Pooling"

  bottom: "conv1"

  top: "pool1"

  pooling_param {

    pool: MAX

    kernel_size: 3

    stride: 2

  }

}

according to the formula given here:

h_o = (h_i + 2 * pad_h - kernel_h) / stride_h + 1

The output h_o should be 15! But the actual output dimension is 16!

Any explanation please?

[Evan Shelhamer]

This is likely due to the difference in convolution and pooling regions as explained here: https://github.com/BVLC/caffe/issues/1318. I have not checked that this is the case for the CIFAR-10 net definition, but suspect it's an instance of this.

Evan Shelhamer

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