Add BVLCCaffeTest resource (#3868)

This commit adds BVLCCaffeTest resource which includes various caffe
prototxt for testing.

Signed-off-by: Jonghyun Park <jh1302.park@samsung.com>

diff --git a/res/BVLCCaffeTests/BatchNorm_000/INFERENCE b/res/BVLCCaffeTests/BatchNorm_000/INFERENCE
new file mode 100644 (file)
index 0000000..e69de29

diff --git a/res/BVLCCaffeTests/BatchNorm_000/test.prototxt b/res/BVLCCaffeTests/BatchNorm_000/test.prototxt
new file mode 100644 (file)
index 0000000..7c0f19d
--- /dev/null
+++ b/res/BVLCCaffeTests/BatchNorm_000/test.prototxt
@@ -0,0 +1,17 @@
+layer {
+  name: "data"
+  type: "Input"
+  top: "data"
+  input_param {
+    shape: { dim: 1 dim: 3 dim: 4 dim: 4 }
+  }
+}
+layer {
+  name: "batchnorm"
+  type: "BatchNorm"
+  bottom: "data"
+  top: "batchnorm"
+  batch_norm_param {
+    use_global_stats: true
+  }
+}

diff --git a/res/BVLCCaffeTests/Concat_000/INFERENCE b/res/BVLCCaffeTests/Concat_000/INFERENCE
new file mode 100644 (file)
index 0000000..e69de29

diff --git a/res/BVLCCaffeTests/Concat_000/test.prototxt b/res/BVLCCaffeTests/Concat_000/test.prototxt
new file mode 100644 (file)
index 0000000..0c2ee89
--- /dev/null
+++ b/res/BVLCCaffeTests/Concat_000/test.prototxt
@@ -0,0 +1,23 @@
+layer {
+  name: "data"
+  type: "Input"
+  top: "data1"
+  top: "data2"
+  top: "data3"
+  top: "data4"
+  input_param {
+    shape: { dim: 1 dim: 1 dim: 4 dim: 4 }
+    shape: { dim: 1 dim: 2 dim: 4 dim: 4 }
+    shape: { dim: 1 dim: 3 dim: 4 dim: 4 }
+    shape: { dim: 1 dim: 4 dim: 4 dim: 4 }
+  }
+}
+layer {
+  name: "concat"
+  type: "Concat"
+  bottom: "data1"
+  bottom: "data2"
+  bottom: "data3"
+  bottom: "data4"
+  top: "concat"
+}

diff --git a/res/BVLCCaffeTests/Convolution_000/INFERENCE b/res/BVLCCaffeTests/Convolution_000/INFERENCE
new file mode 100644 (file)
index 0000000..e69de29

diff --git a/res/BVLCCaffeTests/Convolution_000/test.prototxt b/res/BVLCCaffeTests/Convolution_000/test.prototxt
new file mode 100644 (file)
index 0000000..b56731c
--- /dev/null
+++ b/res/BVLCCaffeTests/Convolution_000/test.prototxt
@@ -0,0 +1,23 @@
+layer {
+  name: "data"
+  type: "Input"
+  top: "data"
+  input_param {
+    shape: { dim: 1 dim: 3 dim: 4 dim: 4 }
+  }
+}
+layer {
+  name: "conv"
+  type: "Convolution"
+  bottom: "data"
+  top: "conv"
+  convolution_param {
+    bias_term: false
+    num_output: 2
+    kernel_size: 1
+    weight_filler {
+      type: "gaussian"
+      std: 0.01
+    }
+  }
+}

diff --git a/res/BVLCCaffeTests/Convolution_001/INFERENCE b/res/BVLCCaffeTests/Convolution_001/INFERENCE
new file mode 100644 (file)
index 0000000..e69de29

diff --git a/res/BVLCCaffeTests/Convolution_001/test.prototxt b/res/BVLCCaffeTests/Convolution_001/test.prototxt
new file mode 100644 (file)
index 0000000..5b6b5c8
--- /dev/null
+++ b/res/BVLCCaffeTests/Convolution_001/test.prototxt
@@ -0,0 +1,24 @@
+layer {
+  name: "data"
+  type: "Input"
+  top: "data"
+  input_param {
+    shape: { dim: 1 dim: 3 dim: 15 dim: 15 }
+  }
+}
+layer {
+  name: "conv"
+  type: "Convolution"
+  bottom: "data"
+  top: "conv"
+  convolution_param {
+    bias_term: false
+    num_output: 2
+    stride: 2
+    kernel_size: 3
+    weight_filler {
+      type: "gaussian"
+      std: 0.01
+    }
+  }
+}

diff --git a/res/BVLCCaffeTests/Convolution_002/INFERENCE b/res/BVLCCaffeTests/Convolution_002/INFERENCE
new file mode 100644 (file)
index 0000000..e69de29

diff --git a/res/BVLCCaffeTests/Convolution_002/test.prototxt b/res/BVLCCaffeTests/Convolution_002/test.prototxt
new file mode 100644 (file)
index 0000000..7cd59be
--- /dev/null
+++ b/res/BVLCCaffeTests/Convolution_002/test.prototxt
@@ -0,0 +1,24 @@
+layer {
+  name: "data"
+  type: "Input"
+  top: "data"
+  input_param {
+    shape: { dim: 1 dim: 3 dim: 16 dim: 16 }
+  }
+}
+layer {
+  name: "conv"
+  type: "Convolution"
+  bottom: "data"
+  top: "conv"
+  convolution_param {
+    bias_term: false
+    num_output: 2
+    pad: 1
+    kernel_size: 3
+    weight_filler {
+      type: "gaussian"
+      std: 0.01
+    }
+  }
+}

diff --git a/res/BVLCCaffeTests/Convolution_003/INFERENCE b/res/BVLCCaffeTests/Convolution_003/INFERENCE
new file mode 100644 (file)
index 0000000..e69de29

diff --git a/res/BVLCCaffeTests/Convolution_003/test.prototxt b/res/BVLCCaffeTests/Convolution_003/test.prototxt
new file mode 100644 (file)
index 0000000..38c4ebd
--- /dev/null
+++ b/res/BVLCCaffeTests/Convolution_003/test.prototxt
@@ -0,0 +1,25 @@
+layer {
+  name: "data"
+  type: "Input"
+  top: "data"
+  input_param {
+    shape: { dim: 1 dim: 3 dim: 16 dim: 16 }
+  }
+}
+layer {
+  name: "conv"
+  type: "Convolution"
+  bottom: "data"
+  top: "conv"
+  convolution_param {
+    bias_term: false
+    num_output: 2
+    pad: 1
+    pad: 2
+    kernel_size: 3
+    weight_filler {
+      type: "gaussian"
+      std: 0.01
+    }
+  }
+}

diff --git a/res/BVLCCaffeTests/Convolution_004/INFERENCE b/res/BVLCCaffeTests/Convolution_004/INFERENCE
new file mode 100644 (file)
index 0000000..e69de29

diff --git a/res/BVLCCaffeTests/Convolution_004/test.prototxt b/res/BVLCCaffeTests/Convolution_004/test.prototxt
new file mode 100644 (file)
index 0000000..76b1039
--- /dev/null
+++ b/res/BVLCCaffeTests/Convolution_004/test.prototxt
@@ -0,0 +1,24 @@
+layer {
+  name: "data"
+  type: "Input"
+  top: "data"
+  input_param {
+    shape: { dim: 1 dim: 3 dim: 16 dim: 16 }
+  }
+}
+layer {
+  name: "conv"
+  type: "Convolution"
+  bottom: "data"
+  top: "conv"
+  convolution_param {
+    bias_term: false
+    num_output: 2
+    kernel_h: 3
+    kernel_w: 1
+    weight_filler {
+      type: "gaussian"
+      std: 0.01
+    }
+  }
+}

diff --git a/res/BVLCCaffeTests/Convolution_005/INFERENCE b/res/BVLCCaffeTests/Convolution_005/INFERENCE
new file mode 100644 (file)
index 0000000..e69de29

diff --git a/res/BVLCCaffeTests/Convolution_005/test.prototxt b/res/BVLCCaffeTests/Convolution_005/test.prototxt
new file mode 100644 (file)
index 0000000..93104fe
--- /dev/null
+++ b/res/BVLCCaffeTests/Convolution_005/test.prototxt
@@ -0,0 +1,21 @@
+layer {
+  name: "data"
+  type: "Input"
+  top: "data"
+  input_param {
+    shape: { dim: 1 dim: 3 dim: 15 dim: 15 }
+  }
+}
+layer {
+  name: "conv"
+  type: "Convolution"
+  bottom: "data"
+  top: "conv"
+  convolution_param {
+    bias_term: false
+    num_output: 2
+    pad_h: 0
+    pad_w: 3
+    kernel_size: 7
+  }
+}

diff --git a/res/BVLCCaffeTests/Convolution_006/INFERENCE b/res/BVLCCaffeTests/Convolution_006/INFERENCE
new file mode 100644 (file)
index 0000000..e69de29

diff --git a/res/BVLCCaffeTests/Convolution_006/test.prototxt b/res/BVLCCaffeTests/Convolution_006/test.prototxt
new file mode 100644 (file)
index 0000000..f50a007
--- /dev/null
+++ b/res/BVLCCaffeTests/Convolution_006/test.prototxt
@@ -0,0 +1,24 @@
+layer {
+  name: "data"
+  type: "Input"
+  top: "data"
+  input_param {
+    shape: { dim: 1 dim: 3 dim: 16 dim: 16 }
+  }
+}
+layer {
+  name: "dconv"
+  type: "Convolution"
+  bottom: "data"
+  top: "dconv"
+  convolution_param {
+    group: 3
+    num_output: 3
+    bias_term: false
+    kernel_size: 3
+    weight_filler {
+      type: "gaussian"
+      std: 0.01
+    }
+  }
+}

diff --git a/res/BVLCCaffeTests/Convolution_007/INFERENCE b/res/BVLCCaffeTests/Convolution_007/INFERENCE
new file mode 100644 (file)
index 0000000..e69de29

diff --git a/res/BVLCCaffeTests/Convolution_007/test.prototxt b/res/BVLCCaffeTests/Convolution_007/test.prototxt
new file mode 100644 (file)
index 0000000..78009fe
--- /dev/null
+++ b/res/BVLCCaffeTests/Convolution_007/test.prototxt
@@ -0,0 +1,26 @@
+layer {
+  name: "data"
+  type: "Input"
+  top: "data"
+  input_param {
+    shape: { dim: 1 dim: 3 dim: 4 dim: 4 }
+  }
+}
+layer {
+  name: "conv"
+  type: "Convolution"
+  bottom: "data"
+  top: "conv"
+  convolution_param {
+    num_output: 2
+    kernel_size: 1
+    weight_filler {
+      type: "gaussian"
+      std: 0.01
+    }
+    bias_filler {
+      type: "gaussian"
+      std: 0.01
+    }
+  }
+}

diff --git a/res/BVLCCaffeTests/Eltwise_000/INFERENCE b/res/BVLCCaffeTests/Eltwise_000/INFERENCE
new file mode 100644 (file)
index 0000000..e69de29

diff --git a/res/BVLCCaffeTests/Eltwise_000/test.prototxt b/res/BVLCCaffeTests/Eltwise_000/test.prototxt
new file mode 100644 (file)
index 0000000..09b85c3
--- /dev/null
+++ b/res/BVLCCaffeTests/Eltwise_000/test.prototxt
@@ -0,0 +1,20 @@
+layer {
+  name: "data"
+  type: "Input"
+  top: "lhs"
+  top: "rhs"
+  input_param {
+    shape: { dim: 1 dim: 3 dim: 16 dim: 16 }
+    shape: { dim: 1 dim: 3 dim: 16 dim: 16 }
+  }
+}
+layer {
+  name: "sum"
+  type: "Eltwise"
+  bottom: "lhs"
+  bottom: "rhs"
+  top: "sum"
+  eltwise_param {
+    operation: SUM
+  }
+}

diff --git a/res/BVLCCaffeTests/Eltwise_001/INFERENCE b/res/BVLCCaffeTests/Eltwise_001/INFERENCE
new file mode 100644 (file)
index 0000000..e69de29

diff --git a/res/BVLCCaffeTests/Eltwise_001/test.prototxt b/res/BVLCCaffeTests/Eltwise_001/test.prototxt
new file mode 100644 (file)
index 0000000..3eef071
--- /dev/null
+++ b/res/BVLCCaffeTests/Eltwise_001/test.prototxt
@@ -0,0 +1,20 @@
+layer {
+  name: "data"
+  type: "Input"
+  top: "lhs"
+  top: "rhs"
+  input_param {
+    shape: { dim: 1 dim: 3 dim: 16 dim: 16 }
+    shape: { dim: 1 dim: 3 dim: 16 dim: 16 }
+  }
+}
+layer {
+  name: "prod"
+  type: "Eltwise"
+  bottom: "lhs"
+  bottom: "rhs"
+  top: "prod"
+  eltwise_param {
+    operation: PROD
+  }
+}

diff --git a/res/BVLCCaffeTests/Input_000/INFERENCE b/res/BVLCCaffeTests/Input_000/INFERENCE
new file mode 100644 (file)
index 0000000..e69de29

diff --git a/res/BVLCCaffeTests/Input_000/test.prototxt b/res/BVLCCaffeTests/Input_000/test.prototxt
new file mode 100644 (file)
index 0000000..2d05713
--- /dev/null
+++ b/res/BVLCCaffeTests/Input_000/test.prototxt
@@ -0,0 +1,8 @@
+layer {
+  name: "data"
+  type: "Input"
+  top: "data"
+  input_param {
+    shape: { dim: 1 dim: 3 dim: 244 dim: 244 }
+  }
+}

diff --git a/res/BVLCCaffeTests/Input_001/INFERENCE b/res/BVLCCaffeTests/Input_001/INFERENCE
new file mode 100644 (file)
index 0000000..e69de29

diff --git a/res/BVLCCaffeTests/Input_001/test.prototxt b/res/BVLCCaffeTests/Input_001/test.prototxt
new file mode 100644 (file)
index 0000000..eece8b7
--- /dev/null
+++ b/res/BVLCCaffeTests/Input_001/test.prototxt
@@ -0,0 +1,12 @@
+layer {
+  name: "data1"
+  type: "Input"
+  top: "data1"
+  input_param { shape: { dim: 1 dim: 3 dim: 15 dim: 15 } }
+}
+layer {
+  name: "data2"
+  type: "Input"
+  top: "data2"
+  input_param { shape: { dim: 1 dim: 3 dim: 15 dim: 15 } }
+}

diff --git a/res/BVLCCaffeTests/Pooling_000/INFERENCE b/res/BVLCCaffeTests/Pooling_000/INFERENCE
new file mode 100644 (file)
index 0000000..e69de29

diff --git a/res/BVLCCaffeTests/Pooling_000/test.prototxt b/res/BVLCCaffeTests/Pooling_000/test.prototxt
new file mode 100644 (file)
index 0000000..8ed0c38
--- /dev/null
+++ b/res/BVLCCaffeTests/Pooling_000/test.prototxt
@@ -0,0 +1,16 @@
+layer {
+  name: "data"
+  type: "Input"
+  top: "data"
+  input_param { shape: { dim: 1 dim: 3 dim: 16 dim: 16 } }
+}
+layer {
+  name: "pool"
+  type: "Pooling"
+  bottom: "data"
+  top: "pool"
+  pooling_param {
+    pool: MAX
+    kernel_size: 3
+  }
+}

diff --git a/res/BVLCCaffeTests/Pooling_001/INFERENCE b/res/BVLCCaffeTests/Pooling_001/INFERENCE
new file mode 100644 (file)
index 0000000..e69de29

diff --git a/res/BVLCCaffeTests/Pooling_001/test.prototxt b/res/BVLCCaffeTests/Pooling_001/test.prototxt
new file mode 100644 (file)
index 0000000..1ecbb96
--- /dev/null
+++ b/res/BVLCCaffeTests/Pooling_001/test.prototxt
@@ -0,0 +1,17 @@
+layer {
+  name: "data"
+  type: "Input"
+  top: "data"
+  input_param { shape: { dim: 1 dim: 3 dim: 15 dim: 15 } }
+}
+layer {
+  name: "pool"
+  type: "Pooling"
+  bottom: "data"
+  top: "pool"
+  pooling_param {
+    pool: MAX
+    kernel_size: 3
+    stride: 2
+  }
+}

diff --git a/res/BVLCCaffeTests/Pooling_002/INFERENCE b/res/BVLCCaffeTests/Pooling_002/INFERENCE
new file mode 100644 (file)
index 0000000..e69de29

diff --git a/res/BVLCCaffeTests/Pooling_002/test.prototxt b/res/BVLCCaffeTests/Pooling_002/test.prototxt
new file mode 100644 (file)
index 0000000..f199bdc
--- /dev/null
+++ b/res/BVLCCaffeTests/Pooling_002/test.prototxt
@@ -0,0 +1,16 @@
+layer {
+  name: "data"
+  type: "Input"
+  top: "data"
+  input_param { shape: { dim: 1 dim: 3 dim: 16 dim: 16 } }
+}
+layer {
+  name: "pool"
+  type: "Pooling"
+  bottom: "data"
+  top: "pool"
+  pooling_param {
+    pool: AVE
+    kernel_size: 3
+  }
+}

diff --git a/res/BVLCCaffeTests/Pooling_003/INFERENCE b/res/BVLCCaffeTests/Pooling_003/INFERENCE
new file mode 100644 (file)
index 0000000..e69de29

diff --git a/res/BVLCCaffeTests/Pooling_003/test.prototxt b/res/BVLCCaffeTests/Pooling_003/test.prototxt
new file mode 100644 (file)
index 0000000..e25855f
--- /dev/null
+++ b/res/BVLCCaffeTests/Pooling_003/test.prototxt
@@ -0,0 +1,17 @@
+layer {
+  name: "data"
+  type: "Input"
+  top: "data"
+  input_param { shape: { dim: 1 dim: 3 dim: 15 dim: 15 } }
+}
+layer {
+  name: "pool"
+  type: "Pooling"
+  bottom: "data"
+  top: "pool"
+  pooling_param {
+    pool: AVE
+    kernel_size: 3
+    stride: 2
+  }
+}

diff --git a/res/BVLCCaffeTests/Pooling_004/INFERENCE b/res/BVLCCaffeTests/Pooling_004/INFERENCE
new file mode 100644 (file)
index 0000000..e69de29

diff --git a/res/BVLCCaffeTests/Pooling_004/test.prototxt b/res/BVLCCaffeTests/Pooling_004/test.prototxt
new file mode 100644 (file)
index 0000000..533a01c
--- /dev/null
+++ b/res/BVLCCaffeTests/Pooling_004/test.prototxt
@@ -0,0 +1,17 @@
+layer {
+  name: "data"
+  type: "Input"
+  top: "data"
+  input_param { shape: { dim: 1 dim: 3 dim: 16 dim: 16 } }
+}
+layer {
+  name: "pool"
+  type: "Pooling"
+  bottom: "data"
+  top: "pool"
+  pooling_param {
+    pool: MAX
+    kernel_size: 3
+    pad: 1
+  }
+}

diff --git a/res/BVLCCaffeTests/Pooling_005/INFERENCE b/res/BVLCCaffeTests/Pooling_005/INFERENCE
new file mode 100644 (file)
index 0000000..e69de29

diff --git a/res/BVLCCaffeTests/Pooling_005/test.prototxt b/res/BVLCCaffeTests/Pooling_005/test.prototxt
new file mode 100644 (file)
index 0000000..36475c7
--- /dev/null
+++ b/res/BVLCCaffeTests/Pooling_005/test.prototxt
@@ -0,0 +1,17 @@
+layer {
+  name: "data"
+  type: "Input"
+  top: "data"
+  input_param { shape: { dim: 1 dim: 3 dim: 15 dim: 15 } }
+}
+layer {
+  name: "pool"
+  type: "Pooling"
+  bottom: "data"
+  top: "pool"
+  pooling_param {
+    pool: AVE
+    kernel_size: 3
+    pad: 1
+  }
+}

diff --git a/res/BVLCCaffeTests/ReLU_000/INFERENCE b/res/BVLCCaffeTests/ReLU_000/INFERENCE
new file mode 100644 (file)
index 0000000..e69de29

diff --git a/res/BVLCCaffeTests/ReLU_000/test.prototxt b/res/BVLCCaffeTests/ReLU_000/test.prototxt
new file mode 100644 (file)
index 0000000..5fe2a93
--- /dev/null
+++ b/res/BVLCCaffeTests/ReLU_000/test.prototxt
@@ -0,0 +1,14 @@
+layer {
+  name: "data"
+  type: "Input"
+  top: "data"
+  input_param {
+    shape: { dim: 1 dim: 2 dim: 5 dim: 3 }
+  }
+}
+layer {
+  name: "relu"
+  type: "ReLU"
+  bottom: "data"
+  top: "data"
+}

diff --git a/res/BVLCCaffeTests/Regression_0000/INFERENCE b/res/BVLCCaffeTests/Regression_0000/INFERENCE
new file mode 100644 (file)
index 0000000..e69de29

diff --git a/res/BVLCCaffeTests/Regression_0000/test.prototxt b/res/BVLCCaffeTests/Regression_0000/test.prototxt
new file mode 100644 (file)
index 0000000..5927d69
--- /dev/null
+++ b/res/BVLCCaffeTests/Regression_0000/test.prototxt
@@ -0,0 +1,17 @@
+layer {
+  name: "data"
+  type: "Input"
+  top: "data"
+  input_param { shape: { dim: 1 dim: 3 dim: 15 dim: 15 } }
+}
+layer {
+  name: "pool"
+  type: "Pooling"
+  bottom: "data"
+  top: "pool"
+  pooling_param {
+    pool: AVE
+    kernel_h: 3
+    kernel_w: 1
+  }
+}

diff --git a/res/BVLCCaffeTests/Scale_000/INFERENCE b/res/BVLCCaffeTests/Scale_000/INFERENCE
new file mode 100644 (file)
index 0000000..e69de29

diff --git a/res/BVLCCaffeTests/Scale_000/test.prototxt b/res/BVLCCaffeTests/Scale_000/test.prototxt
new file mode 100644 (file)
index 0000000..2f628ec
--- /dev/null
+++ b/res/BVLCCaffeTests/Scale_000/test.prototxt
@@ -0,0 +1,16 @@
+layer {
+  name: "data"
+  type: "Input"
+  top: "data"
+  input_param { shape: { dim: 1 dim: 3 dim: 16 dim: 16 } }
+}
+layer {
+  name: "scale"
+  type: "Scale"
+  bottom: "data"
+  top: "scale"
+  scale_param {
+    filler { type: "gaussian" std: 0.01 }
+    bias_term: false
+  }
+}

diff --git a/res/BVLCCaffeTests/Scale_001/INFERENCE b/res/BVLCCaffeTests/Scale_001/INFERENCE
new file mode 100644 (file)
index 0000000..e69de29

diff --git a/res/BVLCCaffeTests/Scale_001/test.prototxt b/res/BVLCCaffeTests/Scale_001/test.prototxt
new file mode 100644 (file)
index 0000000..d15be8f
--- /dev/null
+++ b/res/BVLCCaffeTests/Scale_001/test.prototxt
@@ -0,0 +1,17 @@
+layer {
+  name: "data"
+  type: "Input"
+  top: "data"
+  input_param { shape: { dim: 1 dim: 3 dim: 16 dim: 16 } }
+}
+layer {
+  name: "scale"
+  type: "Scale"
+  bottom: "data"
+  top: "scale"
+  scale_param {
+    filler { type: "gaussian" std: 0.01 }
+    bias_term: true
+    bias_filler { type: "gaussian" std: 0.01 }
+  }
+}

diff --git a/res/BVLCCaffeTests/inception_c1/INFERENCE b/res/BVLCCaffeTests/inception_c1/INFERENCE
new file mode 100644 (file)
index 0000000..e69de29

diff --git a/res/BVLCCaffeTests/inception_c1/test.prototxt b/res/BVLCCaffeTests/inception_c1/test.prototxt
new file mode 100644 (file)
index 0000000..7f2df45
--- /dev/null
+++ b/res/BVLCCaffeTests/inception_c1/test.prototxt
@@ -0,0 +1,252 @@
+name: "inception_c1"
+layer {
+  name: "input"
+  type: "Input"
+  top: "reduction_b_concat"
+  input_param {
+    shape {
+      dim: 1
+      dim: 3
+      dim: 32
+      dim: 32
+    }
+  }
+}
+layer {
+  name: "inception_c1_1x1_2"
+  type: "Convolution"
+  bottom: "reduction_b_concat"
+  top: "inception_c1_1x1_2"
+  convolution_param {
+    bias_term: false
+    num_output: 2
+    pad: 0
+    kernel_size: 1
+    stride: 1
+    weight_filler {
+      type: "gaussian"
+      std: 0.01
+    }
+  }
+}
+layer {
+  name: "inception_c1_1x1_2_relu"
+  type: "ReLU"
+  bottom: "inception_c1_1x1_2"
+  top: "inception_c1_1x1_2"
+}
+layer {
+  name: "inception_c1_1x3_reduce"
+  type: "Convolution"
+  bottom: "reduction_b_concat"
+  top: "inception_c1_1x3_reduce"
+  convolution_param {
+    bias_term: false
+    num_output: 3
+    pad: 0
+    kernel_size: 1
+    stride: 1
+    weight_filler {
+      type: "gaussian"
+      std: 0.01
+    }
+  }
+}
+layer {
+  name: "inception_c1_1x3_reduce_relu"
+  type: "ReLU"
+  bottom: "inception_c1_1x3_reduce"
+  top: "inception_c1_1x3_reduce"
+}
+layer {
+  name: "inception_c1_1x3"
+  type: "Convolution"
+  bottom: "inception_c1_1x3_reduce"
+  top: "inception_c1_1x3"
+  convolution_param {
+    bias_term: false
+    num_output: 4
+    stride: 1
+    pad_h: 0
+    pad_w: 1
+    kernel_h: 1
+    kernel_w: 3
+    weight_filler {
+      type: "gaussian"
+      std: 0.01
+    }
+  }
+}
+layer {
+  name: "inception_c1_1x3_relu"
+  type: "ReLU"
+  bottom: "inception_c1_1x3"
+  top: "inception_c1_1x3"
+}
+layer {
+  name: "inception_c1_3x1"
+  type: "Convolution"
+  bottom: "inception_c1_1x3_reduce"
+  top: "inception_c1_3x1"
+  convolution_param {
+    bias_term: false
+    num_output: 5
+    stride: 1
+    pad_h: 1
+    pad_w: 0
+    kernel_h: 3
+    kernel_w: 1
+    weight_filler {
+      type: "gaussian"
+      std: 0.01
+    }
+  }
+}
+layer {
+  name: "inception_c1_3x1_relu"
+  type: "ReLU"
+  bottom: "inception_c1_3x1"
+  top: "inception_c1_3x1"
+}
+layer {
+  name: "inception_c1_3x3_reduce"
+  type: "Convolution"
+  bottom: "reduction_b_concat"
+  top: "inception_c1_3x3_reduce"
+  convolution_param {
+    bias_term: false
+    num_output: 5
+    pad: 0
+    kernel_size: 1
+    stride: 1
+    weight_filler {
+      type: "gaussian"
+      std: 0.01
+    }
+  }
+}
+layer {
+  name: "inception_c1_3x3_reduce_relu"
+  type: "ReLU"
+  bottom: "inception_c1_3x3_reduce"
+  top: "inception_c1_3x3_reduce"
+}
+layer {
+  name: "inception_c1_3x3"
+  type: "Convolution"
+  bottom: "inception_c1_3x3_reduce"
+  top: "inception_c1_3x3"
+  convolution_param {
+    bias_term: false
+    num_output: 6
+    pad: 1
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "gaussian"
+      std: 0.01
+    }
+  }
+}
+layer {
+  name: "inception_c1_3x3_relu"
+  type: "ReLU"
+  bottom: "inception_c1_3x3"
+  top: "inception_c1_3x3"
+}
+layer {
+  name: "inception_c1_1x3_2"
+  type: "Convolution"
+  bottom: "inception_c1_3x3"
+  top: "inception_c1_1x3_2"
+  convolution_param {
+    bias_term: false
+    num_output: 7
+    stride: 1
+    pad_h: 0
+    pad_w: 1
+    kernel_h: 1
+    kernel_w: 3
+    weight_filler {
+      type: "gaussian"
+      std: 0.01
+    }
+  }
+}
+layer {
+  name: "inception_c1_1x3_2_relu"
+  type: "ReLU"
+  bottom: "inception_c1_1x3_2"
+  top: "inception_c1_1x3_2"
+}
+layer {
+  name: "inception_c1_3x1_2"
+  type: "Convolution"
+  bottom: "inception_c1_3x3"
+  top: "inception_c1_3x1_2"
+  convolution_param {
+    bias_term: false
+    num_output: 8
+    stride: 1
+    pad_h: 1
+    pad_w: 0
+    kernel_h: 3
+    kernel_w: 1
+    weight_filler {
+      type: "gaussian"
+      std: 0.01
+    }
+  }
+}
+layer {
+  name: "inception_c1_3x1_2_relu"
+  type: "ReLU"
+  bottom: "inception_c1_3x1_2"
+  top: "inception_c1_3x1_2"
+}
+layer {
+  name: "inception_c1_pool"
+  type: "Pooling"
+  bottom: "reduction_b_concat"
+  top: "inception_c1_pool"
+  pooling_param {
+    pool: AVE
+    kernel_size: 3
+    stride: 1
+    pad: 1
+  }
+}
+layer {
+  name: "inception_c1_1x1"
+  type: "Convolution"
+  bottom: "inception_c1_pool"
+  top: "inception_c1_1x1"
+  convolution_param {
+    bias_term: false
+    num_output: 10
+    pad: 0
+    kernel_size: 1
+    stride: 1
+    weight_filler {
+      type: "gaussian"
+      std: 0.01
+    }
+  }
+}
+layer {
+  name: "inception_c1_1x1_relu"
+  type: "ReLU"
+  bottom: "inception_c1_1x1"
+  top: "inception_c1_1x1"
+}
+layer {
+  name: "inception_c1_concat"
+  type: "Concat"
+  bottom: "inception_c1_1x1_2"
+  bottom: "inception_c1_1x3"
+  bottom: "inception_c1_3x1"
+  bottom: "inception_c1_1x3_2"
+  bottom: "inception_c1_3x1_2"
+  bottom: "inception_c1_1x1"
+  top: "inception_c1_concat"
+}

diff --git a/res/BVLCCaffeTests/residual/INFERENCE b/res/BVLCCaffeTests/residual/INFERENCE
new file mode 100644 (file)
index 0000000..e69de29

diff --git a/res/BVLCCaffeTests/residual/test.prototxt b/res/BVLCCaffeTests/residual/test.prototxt
new file mode 100644 (file)
index 0000000..8ced8b6
--- /dev/null
+++ b/res/BVLCCaffeTests/residual/test.prototxt
@@ -0,0 +1,72 @@
+name: "residual"
+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: "ThresholdBackward7"
+  type: "ReLU"
+  bottom: "ConvNdBackward5"
+  top: "ConvNdBackward5"
+}
+layer {
+  name: "ConvNdBackward8"
+  type: "Convolution"
+  bottom: "ConvNdBackward5"
+  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: "AddBackward11"
+  type: "Eltwise"
+  bottom: "ConvNdBackward8"
+  bottom: "MaxPool2dBackward4"
+  top: "AddBackward11"
+  eltwise_param {
+    operation: SUM
+  }
+}

diff --git a/res/BVLCCaffeTests/residual_bn/INFERENCE b/res/BVLCCaffeTests/residual_bn/INFERENCE
new file mode 100644 (file)
index 0000000..e69de29

diff --git a/res/BVLCCaffeTests/residual_bn/test.prototxt b/res/BVLCCaffeTests/residual_bn/test.prototxt
new file mode 100644 (file)
index 0000000..eaa321e
--- /dev/null
+++ b/res/BVLCCaffeTests/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
+  }
+}