From cbff18cb22dbfddc2f420711a2ed56cf3b63cdc9 Mon Sep 17 00:00:00 2001
From: =?utf8?q?=EC=9C=A4=EC=A7=80=EC=98=81/On-Device=20Lab=28SR=29/Enginee?=
 =?utf8?q?r/=EC=82=BC=EC=84=B1=EC=A0=84=EC=9E=90?= <jy910.yun@samsung.com>
Date: Fri, 18 Jan 2019 14:55:42 +0900
Subject: [PATCH] [enco] Add residual_bn test (#2822)

This commit adds the residual_bn test
by copying the original residual block from resnet18.prototxt.

Signed-off-by: Jiyoung Yun <jy910.yun@samsung.com>
---
 contrib/enco/test/caffe/residual_bn/INFERENCE     |   0
 contrib/enco/test/caffe/residual_bn/test.prototxt | 110 ++++++++++++++++++++++
 2 files changed, 110 insertions(+)
 create mode 100644 contrib/enco/test/caffe/residual_bn/INFERENCE
 create mode 100644 contrib/enco/test/caffe/residual_bn/test.prototxt

diff --git a/contrib/enco/test/caffe/residual_bn/INFERENCE b/contrib/enco/test/caffe/residual_bn/INFERENCE
new file mode 100644
index 0000000..e69de29
diff --git a/contrib/enco/test/caffe/residual_bn/test.prototxt b/contrib/enco/test/caffe/residual_bn/test.prototxt
new file mode 100644
index 0000000..eaa321e
--- /dev/null
+++ b/contrib/enco/test/caffe/residual_bn/test.prototxt
@@ -0,0 +1,110 @@
+name: "residual_bn"
+layer {
+  name: "input"
+  type: "Input"
+  top: "data"
+  input_param {
+    shape {
+      dim: 1
+      dim: 3
+      dim: 31
+      dim: 31
+    }
+  }
+}
+layer {
+  name: "MaxPool2dBackward4"
+  type: "Pooling"
+  bottom: "data"
+  top: "MaxPool2dBackward4"
+  pooling_param {
+    pool: MAX
+    kernel_size: 3
+    stride: 2
+    pad: 1
+  }
+}
+layer {
+  name: "ConvNdBackward5"
+  type: "Convolution"
+  bottom: "MaxPool2dBackward4"
+  top: "ConvNdBackward5"
+  convolution_param {
+    num_output: 5
+    pad_h: 1
+    pad_w: 1
+    kernel_h: 3
+    kernel_w: 3
+    stride: 1
+    bias_term: false
+  }
+}
+layer {
+  name: "BatchNormBackward6_bn"
+  type: "BatchNorm"
+  bottom: "ConvNdBackward5"
+  top: "BatchNormBackward6"
+  batch_norm_param {
+    use_global_stats: true
+    eps: 1e-05
+  }
+}
+layer {
+  name: "BatchNormBackward6_scale"
+  type: "Scale"
+  bottom: "BatchNormBackward6"
+  top: "BatchNormBackward6"
+  scale_param {
+    bias_term: true
+  }
+}
+layer {
+  name: "ThresholdBackward7"
+  type: "ReLU"
+  bottom: "BatchNormBackward6"
+  top: "BatchNormBackward6"
+}
+layer {
+  name: "ConvNdBackward8"
+  type: "Convolution"
+  bottom: "BatchNormBackward6"
+  top: "ConvNdBackward8"
+  convolution_param {
+    num_output: 3
+    pad_h: 1
+    pad_w: 1
+    kernel_h: 3
+    kernel_w: 3
+    stride: 1
+    bias_term: false
+  }
+}
+layer {
+  name: "BatchNormBackward9_bn"
+  type: "BatchNorm"
+  bottom: "ConvNdBackward8"
+  top: "BatchNormBackward9"
+  batch_norm_param {
+    use_global_stats: true
+    eps: 1e-05
+  }
+}
+layer {
+  name: "BatchNormBackward9_scale"
+  type: "Scale"
+  bottom: "BatchNormBackward9"
+  top: "BatchNormBackward9"
+  scale_param {
+    bias_term: true
+  }
+}
+layer {
+  name: "AddBackward11"
+  type: "Eltwise"
+  bottom: "BatchNormBackward9"
+  bottom: "MaxPool2dBackward4"
+  top: "AddBackward11"
+  eltwise_param {
+    operation: SUM
+  }
+}
-- 
2.7.4