When using Caffe::set_mode(Caffe::GPU), the program doesn't work correctly? about caffe HOT 2 CLOSED

TestLiFT.prototxt like this:

input: "data"
input_dim: 1
input_dim: 1
input_dim: 28
input_dim: 28
layers {
layer {
name: "conv1"
type: "conv"
num_output: 20
kernelsize: 5
stride: 1
weight_filler {
type: "xavier"
}
bias_filler {
type: "constant"
}
blobs_lr: 1.
blobs_lr: 2.
}
bottom: "data"
top: "conv1"
}
layers {
layer {
name: "pool1"
type: "pool"
kernelsize: 2
stride: 2
pool: MAX
}
bottom: "conv1"
top: "pool1"
}
layers {
layer {
name: "conv2"
type: "conv"
num_output: 50
kernelsize: 5
stride: 1
group: 1
weight_filler {
type: "xavier"
}
bias_filler {
type: "constant"
}
blobs_lr: 1.
blobs_lr: 2.
}
bottom: "pool1"
top: "conv2"
}
layers {
layer {
name: "pool2"
type: "pool"
kernelsize: 2
stride: 2
pool: MAX
}
bottom: "conv2"
top: "pool2"
}
layers {
layer {
name: "ip1"
type: "innerproduct"
num_output: 500
weight_filler {
type: "xavier"
}
bias_filler {
type: "constant"
}
blobs_lr: 1.
blobs_lr: 2.
}
bottom: "pool2"
top: "ip1"
}
layers {
layer {
name: "relu1"
type: "relu"
}
bottom: "ip1"
top: "ip1"
}
layers {
layer {
name: "ip2"
type: "innerproduct"
num_output: 10
weight_filler {
type: "xavier"
}
bias_filler {
type: "constant"
}
}
bottom: "ip1"
top: "ip2"
}
layers {
layer {
name: "prob"
type: "softmax"
}
bottom: "ip2"
top: "prob"
}

from caffe.

Sorry, I can't replicate this and nothing else like it has been reported. The results are correct using the bundled train_net.bin and test_net.bin, so please check your code and config.

from caffe.