xianyujie commented on issue #15108: The test time of the model on GPU is normal, but the test time on CPU is very long. URL: https://github.com/apache/incubator-mxnet/issues/15108#issuecomment-498564527 @pengzhao-intel Can you find out what the problem is? **(The stage_unit1_relu1 is the front layer of the stage_unit1_conv1 layer)** **===================The shape of the input image is (1,3,112,112)==================== warm up 20 times same image as input,test the time from input layer to stage_unit1_relu1 layer** (0.030597, 0.029112) (0.029765, 0.027273) (0.029243, 0.026952) **same image as input,test the time from input layer to stage_unit1_conv1 layer** (0.105118, 0.031303) (0.098103, 0.031876) (0.098488, 0.031119) **same image as input, get the output(pre_output1,pre_output2) from stage1_unit1_relu1 layer of the two models.Then test the time of Conv layer, pre_output1 as the input of my model, pre_output2 as the input of original model.** (0.075896, 0.006333) (0.07515, 0.005862) (0.075065, 0.005814) **The pre_output1 as the input of the two models, test the time of Conv layer** (0.072311, 0.072548) (0.073366, 0.075132) (0.074931, 0.074962) **The pre_output2 as the input of the two models, test the time of Conv layer** (0.0055, 0.005653) (0.005488, 0.005642) (0.005499, 0.005644) ('loading bin', 0) (2, 3, 12, 12) **================The shape of the input image is (1,3,12,12)======================== warm up 20 times same image as input,test the time from input layer to stage_unit1_relu1 layer** (0.000733, 0.000735) (0.000723, 0.000767) (0.000761, 0.00073) **same image as input,test the time from input layer to stage_unit1_conv1 layer** (0.003494, 0.000923) (0.003302, 0.000857) (0.003363, 0.000906) **same image as input, get the output(pre_output1,pre_output2) from stage1_unit1_relu1 layer of the two models.Then test the time of Conv layer, pre_output1 as the input of my model, pre_output2 as the input of original model.** (0.002808, 0.000264) (0.002637, 0.000262) (0.002527, 0.000257) **The pre_output1 as the input of the two models, test the time of Conv layer** (0.002551, 0.00255) (0.002455, 0.002451) (0.002425, 0.002443) **The pre_output2 as the input of the two models, test the time of Conv layer** (0.000261, 0.000258) (0.000259, 0.000255) (0.00026, 0.000255)
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