[res] Remove obsolete TF_SMALL_NET_XXXX tests (#6650)

This commit removes obsolete TF_SMALL_NET_XXXX test cases. Note that
they are copied to NET_XXXX

Signed-off-by: Cheongyo Bahk <ch.bahk@samsung.com>

34 files changed, 0 insertions, 2230 deletions

diff --git a/res/TensorFlowTests/TF_SMALL_NET_0000/test.info b/res/TensorFlowTests/TF_SMALL_NET_0000/test.info
deleted file mode 100644
index bdde9126b..000000000
--- a/res/TensorFlowTests/TF_SMALL_NET_0000/test.info
+++ /dev/null
@@ -1,3 +0,0 @@
-# conv2d with VALID, stride = 1, 1
-input,  ifm:0,  TF_FLOAT,  [1, 5, 5, 3]
-output, maxpool:0,  TF_FLOAT,  [1, 4, 4, 2]
diff --git a/res/TensorFlowTests/TF_SMALL_NET_0000/test.pbtxt b/res/TensorFlowTests/TF_SMALL_NET_0000/test.pbtxt
deleted file mode 100644
index 5aafa31db..000000000
--- a/res/TensorFlowTests/TF_SMALL_NET_0000/test.pbtxt
+++ /dev/null
@@ -1,102 +0,0 @@
-# Small Conv2D-MaxPool network
-node {
-  name: "ifm"
-  op: "Placeholder"
-  attr {
-    key: "dtype"
-    value { type: DT_FLOAT }
-  }
-  attr {
-    key: "shape"
-    value {
-      shape {
-        dim { size: 1 }
-        dim { size: 5 }
-        dim { size: 5 }
-        dim { size: 3 }
-      }
-    }
-  }
-}
-node {
-  name: "ker"
-  op: "Const"
-  attr {
-    key: "dtype"
-    value { type: DT_FLOAT }
-  }
-  attr {
-    key: "value"
-    value {
-      tensor {
-        dtype: DT_FLOAT
-        tensor_shape {
-          dim { size: 2 }
-          dim { size: 2 }
-          dim { size: 3 }
-          dim { size: 2 }
-        }
-        float_val: 1.1
-      }
-    }
-  }
-}
-node {
-  name: "ofm"
-  op: "Conv2D"
-  input: "ifm"
-  input: "ker"
-  attr {
-    key: "T"
-    value { type: DT_FLOAT }
-  }
-  attr {
-    key: "data_format"
-    value { s: "NHWC" }
-  }
-  attr {
-    key: "dilations"
-    value {
-      list { i: 1 i: 1 i: 1 i: 1 }
-    }
-  }
-  attr {
-    key: "padding"
-    value { s: "VALID" }
-  }
-  attr {
-    key: "strides"
-    value {
-      list { i: 1 i: 1 i: 1 i: 1 }
-    }
-  }
-}
-node {
-  name: "maxpool"
-  op: "MaxPool"
-  input: "ofm"
-  attr {
-    key: "T"
-    value { type: DT_FLOAT }
-  }
-  attr {
-    key: "data_format"
-    value { s: "NHWC" }
-  }
-  attr {
-    key: "ksize"
-    value {
-      list { i: 1 i: 1 i: 1 i: 1 }
-    }
-  }
-  attr {
-    key: "padding"
-    value { s: "VALID" }
-  }
-  attr {
-    key: "strides"
-    value {
-      list { i: 1 i: 1 i: 1 i: 1 }
-    }
-  }
-}
diff --git a/res/TensorFlowTests/TF_SMALL_NET_0001/test.info b/res/TensorFlowTests/TF_SMALL_NET_0001/test.info
deleted file mode 100644
index 0e8caae1c..000000000
--- a/res/TensorFlowTests/TF_SMALL_NET_0001/test.info
+++ /dev/null
@@ -1,2 +0,0 @@
-input, in:0, TF_FLOAT, [1, 5, 5, 3]
-output, out:0, TF_FLOAT, [1, 4, 4, 5]
diff --git a/res/TensorFlowTests/TF_SMALL_NET_0001/test.pbtxt b/res/TensorFlowTests/TF_SMALL_NET_0001/test.pbtxt
deleted file mode 100644
index fc84d61a6..000000000
--- a/res/TensorFlowTests/TF_SMALL_NET_0001/test.pbtxt
+++ /dev/null
@@ -1,160 +0,0 @@
-# Small Conv2D-BiasAdd-Conv2D network
-node {
-  name: "in"
-  op: "Placeholder"
-  attr {
-    key: "dtype"
-    value { type: DT_FLOAT }
-  }
-  attr {
-    key: "shape"
-    value {
-      shape {
-        dim { size: 1 } # N
-        dim { size: 5 } # H
-        dim { size: 5 } # W
-        dim { size: 3 } # C
-      }
-    }
-  }
-}
-node {
-  name: "ker"
-  op: "Const"
-  attr {
-    key: "dtype"
-    value { type: DT_FLOAT }
-  }
-  attr {
-    key: "value"
-    value {
-      tensor {
-        dtype: DT_FLOAT
-        tensor_shape {
-          dim { size: 2 } # H
-          dim { size: 2 } # W
-          dim { size: 3 } # I
-          dim { size: 2 } # O
-        }
-        float_val: 1.1
-      }
-    }
-  }
-}
-node {
-  name: "conv"
-  op: "Conv2D"
-  input: "in"
-  input: "ker"
-  attr {
-    key: "T"
-    value { type: DT_FLOAT }
-  }
-  attr {
-    key: "data_format"
-    value { s: "NHWC" }
-  }
-  attr {
-    key: "dilations"
-    value {
-      list { i: 1 i: 1 i: 1 i: 1 }
-    }
-  }
-  attr {
-    key: "padding"
-    value { s: "VALID" }
-  }
-  attr {
-    key: "strides"
-    value {
-      list { i: 1 i: 1 i: 1 i: 1 }
-    }
-  }
-}
-node {
-  name: "bias"
-  op: "Const"
-  attr {
-    key: "dtype"
-    value { type: DT_FLOAT }
-  }
-  attr {
-    key: "value"
-    value {
-      tensor {
-        dtype: DT_FLOAT
-        tensor_shape {
-          dim { size: 2 }
-        }
-        float_val: 1.1
-      }
-    }
-  }
-}
-node {
-  name: "badd"
-  op: "BiasAdd"
-  input: "conv"
-  input: "bias"
-  attr {
-    key: "T"
-    value { type: DT_FLOAT }
-  }
-  attr {
-    key: "data_format"
-    value { s: "NHWC" }
-  }
-}
-node {
-  name: "ker1"
-  op: "Const"
-  attr {
-    key: "dtype"
-    value { type: DT_FLOAT }
-  }
-  attr {
-    key: "value"
-    value {
-      tensor {
-        dtype: DT_FLOAT
-        tensor_shape {
-          dim { size: 1 } # H
-          dim { size: 1 } # W
-          dim { size: 2 } # I
-          dim { size: 5 } # O
-        }
-        float_val: 1.1
-      }
-    }
-  }
-}
-node {
-  name: "out"
-  op: "Conv2D"
-  input: "badd"
-  input: "ker1"
-  attr {
-    key: "T"
-    value { type: DT_FLOAT }
-  }
-  attr {
-    key: "data_format"
-    value { s: "NHWC" }
-  }
-  attr {
-    key: "dilations"
-    value {
-      list { i: 1 i: 1 i: 1 i: 1 }
-    }
-  }
-  attr {
-    key: "padding"
-    value { s: "VALID" }
-  }
-  attr {
-    key: "strides"
-    value {
-      list { i: 1 i: 1 i: 1 i: 1 }
-    }
-  }
-}
diff --git a/res/TensorFlowTests/TF_SMALL_NET_0002/test.info b/res/TensorFlowTests/TF_SMALL_NET_0002/test.info
deleted file mode 100644
index 0e8caae1c..000000000
--- a/res/TensorFlowTests/TF_SMALL_NET_0002/test.info
+++ /dev/null
@@ -1,2 +0,0 @@
-input, in:0, TF_FLOAT, [1, 5, 5, 3]
-output, out:0, TF_FLOAT, [1, 4, 4, 5]
diff --git a/res/TensorFlowTests/TF_SMALL_NET_0002/test.pbtxt b/res/TensorFlowTests/TF_SMALL_NET_0002/test.pbtxt
deleted file mode 100644
index 692651aa4..000000000
--- a/res/TensorFlowTests/TF_SMALL_NET_0002/test.pbtxt
+++ /dev/null
@@ -1,135 +0,0 @@
-# Small Conv2D-ReLU-Conv2D network
-node {
-  name: "in"
-  op: "Placeholder"
-  attr {
-    key: "dtype"
-    value { type: DT_FLOAT }
-  }
-  attr {
-    key: "shape"
-    value {
-      shape {
-        dim { size: 1 } # N
-        dim { size: 5 } # H
-        dim { size: 5 } # W
-        dim { size: 3 } # C
-      }
-    }
-  }
-}
-node {
-  name: "ker"
-  op: "Const"
-  attr {
-    key: "dtype"
-    value { type: DT_FLOAT }
-  }
-  attr {
-    key: "value"
-    value {
-      tensor {
-        dtype: DT_FLOAT
-        tensor_shape {
-          dim { size: 2 } # H
-          dim { size: 2 } # W
-          dim { size: 3 } # I
-          dim { size: 2 } # O
-        }
-        float_val: 1.1
-      }
-    }
-  }
-}
-node {
-  name: "conv"
-  op: "Conv2D"
-  input: "in"
-  input: "ker"
-  attr {
-    key: "T"
-    value { type: DT_FLOAT }
-  }
-  attr {
-    key: "data_format"
-    value { s: "NHWC" }
-  }
-  attr {
-    key: "dilations"
-    value {
-      list { i: 1 i: 1 i: 1 i: 1 }
-    }
-  }
-  attr {
-    key: "padding"
-    value { s: "VALID" }
-  }
-  attr {
-    key: "strides"
-    value {
-      list { i: 1 i: 1 i: 1 i: 1 }
-    }
-  }
-}
-node {
-  name: "relu"
-  op: "Relu"
-  input: "conv"
-  attr {
-    key: "T"
-    value { type: DT_FLOAT }
-  }
-}
-node {
-  name: "ker1"
-  op: "Const"
-  attr {
-    key: "dtype"
-    value { type: DT_FLOAT }
-  }
-  attr {
-    key: "value"
-    value {
-      tensor {
-        dtype: DT_FLOAT
-        tensor_shape {
-          dim { size: 1 } # H
-          dim { size: 1 } # W
-          dim { size: 2 } # I
-          dim { size: 5 } # O
-        }
-        float_val: 1.1
-      }
-    }
-  }
-}
-node {
-  name: "out"
-  op: "Conv2D"
-  input: "relu"
-  input: "ker1"
-  attr {
-    key: "T"
-    value { type: DT_FLOAT }
-  }
-  attr {
-    key: "data_format"
-    value { s: "NHWC" }
-  }
-  attr {
-    key: "dilations"
-    value {
-      list { i: 1 i: 1 i: 1 i: 1 }
-    }
-  }
-  attr {
-    key: "padding"
-    value { s: "VALID" }
-  }
-  attr {
-    key: "strides"
-    value {
-      list { i: 1 i: 1 i: 1 i: 1 }
-    }
-  }
-}
diff --git a/res/TensorFlowTests/TF_SMALL_NET_0003/test.info b/res/TensorFlowTests/TF_SMALL_NET_0003/test.info
deleted file mode 100644
index ee7d13cd1..000000000
--- a/res/TensorFlowTests/TF_SMALL_NET_0003/test.info
+++ /dev/null
@@ -1,2 +0,0 @@
-input, Placeholder:0, TF_FLOAT, [1, 3, 3, 5]
-output, FusedBatchNorm:0, TF_FLOAT, [1, 3, 3, 1]
diff --git a/res/TensorFlowTests/TF_SMALL_NET_0003/test.pbtxt b/res/TensorFlowTests/TF_SMALL_NET_0003/test.pbtxt
deleted file mode 100644
index cf6b1a7db..000000000
--- a/res/TensorFlowTests/TF_SMALL_NET_0003/test.pbtxt
+++ /dev/null
@@ -1,244 +0,0 @@
-# Small Conv2D + FusedBatchNorm network
-node {
-  name: "Placeholder"
-  op: "Placeholder"
-  attr {
-    key: "dtype"
-    value {
-      type: DT_FLOAT
-    }
-  }
-  attr {
-    key: "shape"
-    value {
-      shape {
-        dim {
-          size: 1 # N
-        }
-        dim {
-          size: 3 # H
-        }
-        dim {
-          size: 3 # W
-        }
-        dim {
-          size: 5 # C
-        }
-      }
-    }
-  }
-}
-node {
-  name: "Const"
-  op: "Const"
-  attr {
-    key: "dtype"
-    value {
-      type: DT_FLOAT
-    }
-  }
-  attr {
-    key: "value"
-    value {
-      tensor {
-        dtype: DT_FLOAT
-        tensor_shape {
-          dim {
-            size: 2 # H
-          }
-          dim {
-            size: 2 # W
-          }
-          dim {
-            size: 5 # I
-          }
-          dim {
-            size: 1 # O
-          }
-        }
-        float_val: 1.0
-      }
-    }
-  }
-}
-node {
-  name: "Conv2D"
-  op: "Conv2D"
-  input: "Placeholder"
-  input: "Const"
-  attr {
-    key: "T"
-    value {
-      type: DT_FLOAT
-    }
-  }
-  attr {
-    key: "data_format"
-    value {
-      s: "NHWC"
-    }
-  }
-  attr {
-    key: "dilations"
-    value {
-      list {
-        i: 1
-        i: 1
-        i: 1
-        i: 1
-      }
-    }
-  }
-  attr {
-    key: "padding"
-    value {
-      s: "SAME"
-    }
-  }
-  attr {
-    key: "strides"
-    value {
-      list {
-        i: 1
-        i: 1
-        i: 1
-        i: 1
-      }
-    }
-  }
-  attr {
-    key: "use_cudnn_on_gpu"
-    value {
-      b: true
-    }
-  }
-}
-node {
-  name: "scale"
-  op: "Const"
-  attr {
-    key: "dtype"
-    value {
-      type: DT_FLOAT
-    }
-  }
-  attr {
-    key: "value"
-    value {
-      tensor {
-        dtype: DT_FLOAT
-        tensor_shape {
-          dim {
-            size: 1
-          }
-        }
-        float_val: 1.0
-      }
-    }
-  }
-}
-node {
-  name: "offset"
-  op: "Const"
-  attr {
-    key: "dtype"
-    value {
-      type: DT_FLOAT
-    }
-  }
-  attr {
-    key: "value"
-    value {
-      tensor {
-        dtype: DT_FLOAT
-        tensor_shape {
-          dim {
-            size: 1
-          }
-        }
-        float_val: 0.0
-      }
-    }
-  }
-}
-node {
-  name: "FusedBatchNorm/mean"
-  op: "Const"
-  attr {
-    key: "dtype"
-    value {
-      type: DT_FLOAT
-    }
-  }
-  attr {
-    key: "value"
-    value {
-      tensor {
-        dtype: DT_FLOAT
-        tensor_shape {
-          dim {
-            size: 1
-          }
-        }
-        float_val: 0.0
-      }
-    }
-  }
-}
-node {
-  name: "FusedBatchNorm/variance"
-  op: "Const"
-  attr {
-    key: "dtype"
-    value {
-      type: DT_FLOAT
-    }
-  }
-  attr {
-    key: "value"
-    value {
-      tensor {
-        dtype: DT_FLOAT
-        tensor_shape {
-          dim {
-            size: 1
-          }
-        }
-        float_val: 1.0
-      }
-    }
-  }
-}
-node {
-  name: "FusedBatchNorm"
-  op: "FusedBatchNorm"
-  input: "Conv2D"
-  input: "scale"
-  input: "offset"
-  input: "FusedBatchNorm/mean"
-  input: "FusedBatchNorm/variance"
-  attr {
-    key: "T"
-    value {
-      type: DT_FLOAT
-    }
-  }
-  attr {
-    key: "data_format"
-    value {
-      s: "NHWC"
-    }
-  }
-  attr {
-    key: "epsilon"
-    value {
-      f: 0.0010000000474974513
-    }
-  }
-  attr {
-    key: "is_training"
-    value {
-      b: false
-    }
-  }
-}
diff --git a/res/TensorFlowTests/TF_SMALL_NET_0003/test.py b/res/TensorFlowTests/TF_SMALL_NET_0003/test.py
deleted file mode 100644
index b5bad2dae..000000000
--- a/res/TensorFlowTests/TF_SMALL_NET_0003/test.py
+++ /dev/null
@@ -1,15 +0,0 @@
-# TF_SMALL_NET_0003/test.pbtxt is create with below script
-
-# Version info
-#  - Tensorflow : 1.13.1
-#  - Python : 3.5.2
-
-import tensorflow as tf
-
-input0 = tf.placeholder(tf.float32, [1, 3, 3, 5])
-filter0 = tf.constant(1.0, shape=[2, 2, 5, 1])
-conv = tf.nn.conv2d(input0, filter=filter0, strides=[1, 1, 1, 1], padding='SAME')
-fbn = tf.nn.fused_batch_norm(
-    conv, scale=[1.0], offset=[0.0], mean=[0.0], variance=[1.0], is_training=False)
-
-print(tf.get_default_graph().as_graph_def())
diff --git a/res/TensorFlowTests/TF_SMALL_NET_0004/test.info b/res/TensorFlowTests/TF_SMALL_NET_0004/test.info
deleted file mode 100644
index 75a892250..000000000
--- a/res/TensorFlowTests/TF_SMALL_NET_0004/test.info
+++ /dev/null
@@ -1,2 +0,0 @@
-input, Placeholder:0, TF_FLOAT, [1, 3, 3, 5]
-output, FusedBatchNorm:0, TF_FLOAT, [1, 3, 3, 10]
diff --git a/res/TensorFlowTests/TF_SMALL_NET_0004/test.pbtxt b/res/TensorFlowTests/TF_SMALL_NET_0004/test.pbtxt
deleted file mode 100644
index 18cdd65ff..000000000
--- a/res/TensorFlowTests/TF_SMALL_NET_0004/test.pbtxt
+++ /dev/null
@@ -1,218 +0,0 @@
-# Small DepthwiseConv2D + FusedBatchNorm network
-node {
-  name: "Placeholder"
-  op: "Placeholder"
-  attr {
-    key: "dtype"
-    value {
-      type: DT_FLOAT
-    }
-  }
-  attr {
-    key: "shape"
-    value {
-      shape {
-        dim {
-          size: 1
-        }
-        dim {
-          size: 3
-        }
-        dim {
-          size: 3
-        }
-        dim {
-          size: 5
-        }
-      }
-    }
-  }
-}
-node {
-  name: "Const"
-  op: "Const"
-  attr {
-    key: "dtype"
-    value {
-      type: DT_FLOAT
-    }
-  }
-  attr {
-    key: "value"
-    value {
-      tensor {
-        dtype: DT_FLOAT
-        tensor_shape {
-          dim {
-            size: 2
-          }
-          dim {
-            size: 2
-          }
-          dim {
-            size: 5
-          }
-          dim {
-            size: 2
-          }
-        }
-        float_val: 1
-      }
-    }
-  }
-}
-node {
-  name: "depthwise/Shape"
-  op: "Const"
-  attr {
-    key: "dtype"
-    value {
-      type: DT_INT32
-    }
-  }
-  attr {
-    key: "value"
-    value {
-      tensor {
-        dtype: DT_INT32
-        tensor_shape {
-          dim {
-            size: 4
-          }
-        }
-        int_val: 2
-        int_val: 2
-        int_val: 5
-        int_val: 2
-      }
-    }
-  }
-}
-node {
-  name: "depthwise/dilation_rate"
-  op: "Const"
-  attr {
-    key: "dtype"
-    value {
-      type: DT_INT32
-    }
-  }
-  attr {
-    key: "value"
-    value {
-      tensor {
-        dtype: DT_INT32
-        tensor_shape {
-          dim {
-            size: 2
-          }
-        }
-        int_val: 1
-        int_val: 1
-      }
-    }
-  }
-}
-node {
-  name: "depthwise"
-  op: "DepthwiseConv2dNative"
-  input: "Placeholder"
-  input: "Const"
-  attr {
-    key: "T"
-    value {
-      type: DT_FLOAT
-    }
-  }
-  attr {
-    key: "data_format"
-    value {
-      s: "NHWC"
-    }
-  }
-  attr {
-    key: "dilations"
-    value {
-      list {
-        i: 1
-        i: 1
-        i: 1
-        i: 1
-      }
-    }
-  }
-  attr {
-    key: "padding"
-    value {
-      s: "SAME"
-    }
-  }
-  attr {
-    key: "strides"
-    value {
-      list {
-        i: 1
-        i: 1
-        i: 1
-        i: 1
-      }
-    }
-  }
-}
-node {
-  name: "Const_1"
-  op: "Const"
-  attr {
-    key: "dtype"
-    value {
-      type: DT_FLOAT
-    }
-  }
-  attr {
-    key: "value"
-    value {
-      tensor {
-        dtype: DT_FLOAT
-        tensor_shape {
-          dim {
-            size: 10
-          }
-        }
-        float_val: 2
-      }
-    }
-  }
-}
-node {
-  name: "FusedBatchNorm"
-  op: "FusedBatchNorm"
-  input: "depthwise"
-  input: "Const_1"
-  input: "Const_1"
-  input: "Const_1"
-  input: "Const_1"
-  attr {
-    key: "T"
-    value {
-      type: DT_FLOAT
-    }
-  }
-  attr {
-    key: "data_format"
-    value {
-      s: "NHWC"
-    }
-  }
-  attr {
-    key: "epsilon"
-    value {
-      f: 0.001
-    }
-  }
-  attr {
-    key: "is_training"
-    value {
-      b: false
-    }
-  }
-}
diff --git a/res/TensorFlowTests/TF_SMALL_NET_0004/test.py b/res/TensorFlowTests/TF_SMALL_NET_0004/test.py
deleted file mode 100644
index a0c790d79..000000000
--- a/res/TensorFlowTests/TF_SMALL_NET_0004/test.py
+++ /dev/null
@@ -1,16 +0,0 @@
-# TF_SMALL_NET_0004/test.pbtxt is create with below script
-
-# Version info
-#  - Tensorflow : 1.13.1
-#  - Python : 3.5.2
-
-import tensorflow as tf
-
-input0 = tf.placeholder(tf.float32, [1, 3, 3, 5])
-filter0 = tf.constant(1.0, shape=[2, 2, 5, 2])
-dconv = tf.nn.depthwise_conv2d(input0, filter0, [1, 1, 1, 1], 'SAME')
-const = tf.constant(2.0, shape=[10])
-fbn = tf.nn.fused_batch_norm(
-    x=dconv, scale=const, offset=const, mean=const, variance=const, is_training=False)
-
-print(tf.get_default_graph().as_graph_def())
diff --git a/res/TensorFlowTests/TF_SMALL_NET_0005/test.info b/res/TensorFlowTests/TF_SMALL_NET_0005/test.info
deleted file mode 100644
index 379959c05..000000000
--- a/res/TensorFlowTests/TF_SMALL_NET_0005/test.info
+++ /dev/null
@@ -1,2 +0,0 @@
-input, Placeholder:0, TF_FLOAT, [1, 2, 3, 2]
-output, Reshape2:0, TF_FLOAT, [1, 2, 3, 2]
diff --git a/res/TensorFlowTests/TF_SMALL_NET_0005/test.pbtxt b/res/TensorFlowTests/TF_SMALL_NET_0005/test.pbtxt
deleted file mode 100644
index 16cc44005..000000000
--- a/res/TensorFlowTests/TF_SMALL_NET_0005/test.pbtxt
+++ /dev/null
@@ -1,120 +0,0 @@
-# Small Shape + Reshape network
-# This test is quite similar with the last part of InceptionV3
-node {
-  name: "Placeholder"
-  op: "Placeholder"
-  attr {
-    key: "dtype"
-    value {
-      type: DT_FLOAT
-    }
-  }
-  attr {
-    key: "shape"
-    value {
-      shape {
-        dim {
-          size: 1
-        }
-        dim {
-          size: 2
-        }
-        dim {
-          size: 3
-        }
-        dim {
-          size: 2
-        }
-      }
-    }
-  }
-}
-node {
-  name: "Shape"
-  op: "Shape"
-  input: "Placeholder"
-  attr {
-    key: "T"
-    value {
-      type: DT_FLOAT
-    }
-  }
-  attr {
-    key: "out_type"
-    value {
-      type: DT_INT32
-    }
-  }
-}
-node {
-  name: "Const"
-  op: "Const"
-  attr {
-    key: "dtype"
-    value {
-      type: DT_INT32
-    }
-  }
-  attr {
-    key: "value"
-    value {
-      tensor {
-        dtype: DT_INT32
-        tensor_shape {
-          dim {
-            size: 2
-          }
-        }
-        int_val: 3
-        int_val: 4
-      }
-    }
-  }
-}
-node {
-  name: "Reshape1"
-  op: "Reshape"
-  input: "Placeholder"
-  input: "Const"
-  attr {
-    key: "T"
-    value {
-      type: DT_FLOAT
-    }
-  }
-  attr {
-    key: "Tshape"
-    value {
-      type: DT_INT32
-    }
-  }
-}
-node {
-  name: "Relu"
-  op: "Relu"
-  input: "Reshape1"
-  attr {
-    key: "T"
-    value {
-      type: DT_FLOAT
-    }
-  }
-}
-node {
-  name: "Reshape2"
-  op: "Reshape"
-  input: "Relu"
-  input: "Shape"
-  attr {
-    key: "T"
-    value {
-      type: DT_FLOAT
-    }
-  }
-  attr {
-    key: "Tshape"
-    value {
-      type: DT_INT32
-    }
-  }
-}
diff --git a/res/TensorFlowTests/TF_SMALL_NET_0006/test.info b/res/TensorFlowTests/TF_SMALL_NET_0006/test.info
deleted file mode 100644
index f0b1e20ea..000000000
--- a/res/TensorFlowTests/TF_SMALL_NET_0006/test.info
+++ /dev/null
@@ -1,2 +0,0 @@
-input, placeholder:0, TF_FLOAT, [1, 7, 7, 1]
-output, maxpool:0, TF_FLOAT, [1, 7, 7, 2]
diff --git a/res/TensorFlowTests/TF_SMALL_NET_0006/test.pbtxt b/res/TensorFlowTests/TF_SMALL_NET_0006/test.pbtxt
deleted file mode 100644
index e92b60629..000000000
--- a/res/TensorFlowTests/TF_SMALL_NET_0006/test.pbtxt
+++ /dev/null
@@ -1,149 +0,0 @@
-# A simple network that has "Concat" in between feature operations.
-#
-#   Placeholder -+-> MaxPool2D -+-> Concat -> MaxPool2D
-#                |              |
-#                +-> MaxPool2D -+
-#
-node {
-  name: "placeholder"
-  op: "Placeholder"
-  attr {
-    key: "dtype"
-    value { type: DT_FLOAT }
-  }
-  attr {
-    key: "shape"
-    value {
-      shape {
-        dim { size: 1 } # N
-        dim { size: 7 } # H
-        dim { size: 7 } # W
-        dim { size: 1 } # C
-      }
-    }
-  }
-}
-node {
-  name: "maxpool_1"
-  op: "MaxPool"
-  input: "placeholder"
-  attr {
-    key: "T"
-    value { type: DT_FLOAT }
-  }
-  attr {
-    key: "data_format"
-    value { s: "NHWC" }
-  }
-  attr {
-    key: "ksize"
-    value {
-      list { i: 1 i: 1 i: 1 i: 1 }
-    }
-  }
-  attr {
-    key: "padding"
-    value { s: "VALID" }
-  }
-  attr {
-    key: "strides"
-    value {
-      list { i: 1 i: 1 i: 1 i: 1 }
-    }
-  }
-}
-node {
-  name: "maxpool_2"
-  op: "MaxPool"
-  input: "placeholder"
-  attr {
-    key: "T"
-    value { type: DT_FLOAT }
-  }
-  attr {
-    key: "data_format"
-    value { s: "NHWC" }
-  }
-  attr {
-    key: "ksize"
-    value {
-      list { i: 1 i: 1 i: 1 i: 1 }
-    }
-  }
-  attr {
-    key: "padding"
-    value { s: "VALID" }
-  }
-  attr {
-    key: "strides"
-    value {
-      list { i: 1 i: 1 i: 1 i: 1 }
-    }
-  }
-}
-node {
-  name: "axis"
-  op: "Const"
-  attr {
-    key: "dtype"
-    value { type: DT_INT32  }
-  }
-  attr {
-    key: "value"
-    value {
-      tensor {
-        dtype: DT_INT32
-        tensor_shape { }
-        int_val: 3
-      }
-    }
-  }
-}
-node {
-  name: "concat"
-  op: "ConcatV2"
-  input: "maxpool_1"
-  input: "maxpool_2"
-  input: "axis"
-  attr {
-    key: "N"
-    value { i: 2 }
-  }
-  attr {
-    key: "T"
-    value { type: DT_FLOAT }
-  }
-  attr {
-    key: "Tidx"
-    value { type: DT_INT32 }
-  }
-}
-node {
-  name: "maxpool"
-  op: "MaxPool"
-  input: "concat"
-  attr {
-    key: "T"
-    value { type: DT_FLOAT }
-  }
-  attr {
-    key: "data_format"
-    value { s: "NHWC" }
-  }
-  attr {
-    key: "ksize"
-    value {
-      list { i: 1 i: 1 i: 1 i: 1 }
-    }
-  }
-  attr {
-    key: "padding"
-    value { s: "VALID" }
-  }
-  attr {
-    key: "strides"
-    value {
-      list { i: 1 i: 1 i: 1 i: 1 }
-    }
-  }
-}
diff --git a/res/TensorFlowTests/TF_SMALL_NET_0007/test.info b/res/TensorFlowTests/TF_SMALL_NET_0007/test.info
deleted file mode 100644
index 59c3f6122..000000000
--- a/res/TensorFlowTests/TF_SMALL_NET_0007/test.info
+++ /dev/null
@@ -1,2 +0,0 @@
-input, Placeholder:0, TF_FLOAT, [1, 3, 3, 5]
-output, Mul:0, TF_FLOAT, [1, 3, 3, 2]
diff --git a/res/TensorFlowTests/TF_SMALL_NET_0007/test.pbtxt b/res/TensorFlowTests/TF_SMALL_NET_0007/test.pbtxt
deleted file mode 100644
index 10f9f35a5..000000000
--- a/res/TensorFlowTests/TF_SMALL_NET_0007/test.pbtxt
+++ /dev/null
@@ -1,151 +0,0 @@
-# A simple network that has "Conv2D" + "Mul"
-node {
-  name: "Placeholder"
-  op: "Placeholder"
-  attr {
-    key: "dtype"
-    value {
-      type: DT_FLOAT
-    }
-  }
-  attr {
-    key: "shape"
-    value {
-      shape {
-        dim {
-          size: 1
-        }
-        dim {
-          size: 3
-        }
-        dim {
-          size: 3
-        }
-        dim {
-          size: 5
-        }
-      }
-    }
-  }
-}
-node {
-  name: "weights"
-  op: "Const"
-  attr {
-    key: "dtype"
-    value {
-      type: DT_FLOAT
-    }
-  }
-  attr {
-    key: "value"
-    value {
-      tensor {
-        dtype: DT_FLOAT
-        tensor_shape {
-          dim {
-            size: 2
-          }
-          dim {
-            size: 2
-          }
-          dim {
-            size: 5
-          }
-          dim {
-            size: 2
-          }
-        }
-        float_val: 1.100000023841858
-      }
-    }
-  }
-}
-node {
-  name: "Conv2D"
-  op: "Conv2D"
-  input: "Placeholder"
-  input: "weights"
-  attr {
-    key: "T"
-    value {
-      type: DT_FLOAT
-    }
-  }
-  attr {
-    key: "data_format"
-    value {
-      s: "NHWC"
-    }
-  }
-  attr {
-    key: "dilations"
-    value {
-      list {
-        i: 1
-        i: 1
-        i: 1
-        i: 1
-      }
-    }
-  }
-  attr {
-    key: "padding"
-    value {
-      s: "SAME"
-    }
-  }
-  attr {
-    key: "strides"
-    value {
-      list {
-        i: 1
-        i: 1
-        i: 1
-        i: 1
-      }
-    }
-  }
-  attr {
-    key: "use_cudnn_on_gpu"
-    value {
-      b: true
-    }
-  }
-}
-node {
-  name: "mulparam"
-  op: "Const"
-  attr {
-    key: "dtype"
-    value {
-      type: DT_FLOAT
-    }
-  }
-  attr {
-    key: "value"
-    value {
-      tensor {
-        dtype: DT_FLOAT
-        tensor_shape {
-          dim {
-            size: 2
-          }
-        }
-        float_val: 2.0
-      }
-    }
-  }
-}
-node {
-  name: "Mul"
-  op: "Mul"
-  input: "Conv2D"
-  input: "mulparam"
-  attr {
-    key: "T"
-    value {
-      type: DT_FLOAT
-    }
-  }
-}
diff --git a/res/TensorFlowTests/TF_SMALL_NET_0008/test.info b/res/TensorFlowTests/TF_SMALL_NET_0008/test.info
deleted file mode 100644
index ccdd6fd44..000000000
--- a/res/TensorFlowTests/TF_SMALL_NET_0008/test.info
+++ /dev/null
@@ -1,2 +0,0 @@
-input, Placeholder:0, TF_FLOAT, [1, 3, 3, 5]
-output, Add:0, TF_FLOAT, [1, 3, 3, 2]
diff --git a/res/TensorFlowTests/TF_SMALL_NET_0008/test.pbtxt b/res/TensorFlowTests/TF_SMALL_NET_0008/test.pbtxt
deleted file mode 100644
index bbaba7ded..000000000
--- a/res/TensorFlowTests/TF_SMALL_NET_0008/test.pbtxt
+++ /dev/null
@@ -1,151 +0,0 @@
-# A simple network that has "Conv2D" + "Add"
-node {
-  name: "Placeholder"
-  op: "Placeholder"
-  attr {
-    key: "dtype"
-    value {
-      type: DT_FLOAT
-    }
-  }
-  attr {
-    key: "shape"
-    value {
-      shape {
-        dim {
-          size: 1
-        }
-        dim {
-          size: 3
-        }
-        dim {
-          size: 3
-        }
-        dim {
-          size: 5
-        }
-      }
-    }
-  }
-}
-node {
-  name: "weights"
-  op: "Const"
-  attr {
-    key: "dtype"
-    value {
-      type: DT_FLOAT
-    }
-  }
-  attr {
-    key: "value"
-    value {
-      tensor {
-        dtype: DT_FLOAT
-        tensor_shape {
-          dim {
-            size: 2
-          }
-          dim {
-            size: 2
-          }
-          dim {
-            size: 5
-          }
-          dim {
-            size: 2
-          }
-        }
-        float_val: 1.100000023841858
-      }
-    }
-  }
-}
-node {
-  name: "Conv2D"
-  op: "Conv2D"
-  input: "Placeholder"
-  input: "weights"
-  attr {
-    key: "T"
-    value {
-      type: DT_FLOAT
-    }
-  }
-  attr {
-    key: "data_format"
-    value {
-      s: "NHWC"
-    }
-  }
-  attr {
-    key: "dilations"
-    value {
-      list {
-        i: 1
-        i: 1
-        i: 1
-        i: 1
-      }
-    }
-  }
-  attr {
-    key: "padding"
-    value {
-      s: "SAME"
-    }
-  }
-  attr {
-    key: "strides"
-    value {
-      list {
-        i: 1
-        i: 1
-        i: 1
-        i: 1
-      }
-    }
-  }
-  attr {
-    key: "use_cudnn_on_gpu"
-    value {
-      b: true
-    }
-  }
-}
-node {
-  name: "addparam"
-  op: "Const"
-  attr {
-    key: "dtype"
-    value {
-      type: DT_FLOAT
-    }
-  }
-  attr {
-    key: "value"
-    value {
-      tensor {
-        dtype: DT_FLOAT
-        tensor_shape {
-          dim {
-            size: 2
-          }
-        }
-        float_val: 2.0
-      }
-    }
-  }
-}
-node {
-  name: "Add"
-  op: "Add"
-  input: "Conv2D"
-  input: "addparam"
-  attr {
-    key: "T"
-    value {
-      type: DT_FLOAT
-    }
-  }
-}
diff --git a/res/TensorFlowTests/TF_SMALL_NET_0009/test.info b/res/TensorFlowTests/TF_SMALL_NET_0009/test.info
deleted file mode 100644
index ccdd6fd44..000000000
--- a/res/TensorFlowTests/TF_SMALL_NET_0009/test.info
+++ /dev/null
@@ -1,2 +0,0 @@
-input, Placeholder:0, TF_FLOAT, [1, 3, 3, 5]
-output, Add:0, TF_FLOAT, [1, 3, 3, 2]
diff --git a/res/TensorFlowTests/TF_SMALL_NET_0009/test.pbtxt b/res/TensorFlowTests/TF_SMALL_NET_0009/test.pbtxt
deleted file mode 100644
index a4eee69ae..000000000
--- a/res/TensorFlowTests/TF_SMALL_NET_0009/test.pbtxt
+++ /dev/null
@@ -1,194 +0,0 @@
-# A simple network that has "Conv2D" + "BiasAdd" + "Add"
-node {
-  name: "Placeholder"
-  op: "Placeholder"
-  attr {
-    key: "dtype"
-    value {
-      type: DT_FLOAT
-    }
-  }
-  attr {
-    key: "shape"
-    value {
-      shape {
-        dim {
-          size: 1
-        }
-        dim {
-          size: 3
-        }
-        dim {
-          size: 3
-        }
-        dim {
-          size: 5
-        }
-      }
-    }
-  }
-}
-node {
-  name: "weights"
-  op: "Const"
-  attr {
-    key: "dtype"
-    value {
-      type: DT_FLOAT
-    }
-  }
-  attr {
-    key: "value"
-    value {
-      tensor {
-        dtype: DT_FLOAT
-        tensor_shape {
-          dim {
-            size: 2
-          }
-          dim {
-            size: 2
-          }
-          dim {
-            size: 5
-          }
-          dim {
-            size: 2
-          }
-        }
-        float_val: 1.100000023841858
-      }
-    }
-  }
-}
-node {
-  name: "Conv2D"
-  op: "Conv2D"
-  input: "Placeholder"
-  input: "weights"
-  attr {
-    key: "T"
-    value {
-      type: DT_FLOAT
-    }
-  }
-  attr {
-    key: "data_format"
-    value {
-      s: "NHWC"
-    }
-  }
-  attr {
-    key: "dilations"
-    value {
-      list {
-        i: 1
-        i: 1
-        i: 1
-        i: 1
-      }
-    }
-  }
-  attr {
-    key: "padding"
-    value {
-      s: "SAME"
-    }
-  }
-  attr {
-    key: "strides"
-    value {
-      list {
-        i: 1
-        i: 1
-        i: 1
-        i: 1
-      }
-    }
-  }
-  attr {
-    key: "use_cudnn_on_gpu"
-    value {
-      b: true
-    }
-  }
-}
-node {
-  name: "BiasAdd/bias"
-  op: "Const"
-  attr {
-    key: "dtype"
-    value {
-      type: DT_FLOAT
-    }
-  }
-  attr {
-    key: "value"
-    value {
-      tensor {
-        dtype: DT_FLOAT
-        tensor_shape {
-          dim {
-            size: 2
-          }
-        }
-        float_val: 1.0
-        float_val: 1.0
-      }
-    }
-  }
-}
-node {
-  name: "BiasAdd"
-  op: "BiasAdd"
-  input: "Conv2D"
-  input: "BiasAdd/bias"
-  attr {
-    key: "T"
-    value {
-      type: DT_FLOAT
-    }
-  }
-  attr {
-    key: "data_format"
-    value {
-      s: "NHWC"
-    }
-  }
-}
-node {
-  name: "addparam"
-  op: "Const"
-  attr {
-    key: "dtype"
-    value {
-      type: DT_FLOAT
-    }
-  }
-  attr {
-    key: "value"
-    value {
-      tensor {
-        dtype: DT_FLOAT
-        tensor_shape {
-          dim {
-            size: 2
-          }
-        }
-        float_val: 2.0
-      }
-    }
-  }
-}
-node {
-  name: "Add"
-  op: "Add"
-  input: "BiasAdd"
-  input: "addparam"
-  attr {
-    key: "T"
-    value {
-      type: DT_FLOAT
-    }
-  }
-}
diff --git a/res/TensorFlowTests/TF_SMALL_NET_0010/test.info b/res/TensorFlowTests/TF_SMALL_NET_0010/test.info
deleted file mode 100644
index bcbc41892..000000000
--- a/res/TensorFlowTests/TF_SMALL_NET_0010/test.info
+++ /dev/null
@@ -1,2 +0,0 @@
-input, Placeholder:0, TF_FLOAT, [1, 3, 3, 2]
-output, Add:0, TF_FLOAT, [1, 3, 3, 2]
diff --git a/res/TensorFlowTests/TF_SMALL_NET_0010/test.pbtxt b/res/TensorFlowTests/TF_SMALL_NET_0010/test.pbtxt
deleted file mode 100644
index b9c6c9987..000000000
--- a/res/TensorFlowTests/TF_SMALL_NET_0010/test.pbtxt
+++ /dev/null
@@ -1,109 +0,0 @@
-# A simple network that has "BiasAdd" + "Add"
-node {
-  name: "Placeholder"
-  op: "Placeholder"
-  attr {
-    key: "dtype"
-    value {
-      type: DT_FLOAT
-    }
-  }
-  attr {
-    key: "shape"
-    value {
-      shape {
-        dim {
-          size: 1
-        }
-        dim {
-          size: 3
-        }
-        dim {
-          size: 3
-        }
-        dim {
-          size: 2
-        }
-      }
-    }
-  }
-}
-node {
-  name: "bias_add_01/bias"
-  op: "Const"
-  attr {
-    key: "dtype"
-    value {
-      type: DT_FLOAT
-    }
-  }
-  attr {
-    key: "value"
-    value {
-      tensor {
-        dtype: DT_FLOAT
-        tensor_shape {
-          dim {
-            size: 2
-          }
-        }
-        float_val: 1.0
-        float_val: -1.0
-      }
-    }
-  }
-}
-node {
-  name: "bias_add_01"
-  op: "BiasAdd"
-  input: "Placeholder"
-  input: "bias_add_01/bias"
-  attr {
-    key: "T"
-    value {
-      type: DT_FLOAT
-    }
-  }
-  attr {
-    key: "data_format"
-    value {
-      s: "NHWC"
-    }
-  }
-}
-node {
-  name: "addparam"
-  op: "Const"
-  attr {
-    key: "dtype"
-    value {
-      type: DT_FLOAT
-    }
-  }
-  attr {
-    key: "value"
-    value {
-      tensor {
-        dtype: DT_FLOAT
-        tensor_shape {
-          dim {
-            size: 2
-          }
-        }
-        float_val: 2.0
-      }
-    }
-  }
-}
-node {
-  name: "Add"
-  op: "Add"
-  input: "bias_add_01"
-  input: "addparam"
-  attr {
-    key: "T"
-    value {
-      type: DT_FLOAT
-    }
-  }
-}
diff --git a/res/TensorFlowTests/TF_SMALL_NET_0011/test.info b/res/TensorFlowTests/TF_SMALL_NET_0011/test.info
deleted file mode 100644
index 7fb5ec2c0..000000000
--- a/res/TensorFlowTests/TF_SMALL_NET_0011/test.info
+++ /dev/null
@@ -1,2 +0,0 @@
-input,  placeholder:0, TF_FLOAT, [2]
-output, concat_out:0, TF_FLOAT, [6]
diff --git a/res/TensorFlowTests/TF_SMALL_NET_0011/test.pbtxt b/res/TensorFlowTests/TF_SMALL_NET_0011/test.pbtxt
deleted file mode 100644
index a44aba783..000000000
--- a/res/TensorFlowTests/TF_SMALL_NET_0011/test.pbtxt
+++ /dev/null
@@ -1,129 +0,0 @@
-# A simple network that includes constant foldable subgraph
-# (note: [] indicates shape, () indicates real value)
-#
-#       input1 (const) -- relu -+     placeholder --+
-#       (-1, 1)          (0, 1) |       shape [2]   |
-#                               |                   |
-#               input2 (const) -+-- concat -------- concat_out
-#               (2, 3)          |   (0, 1, 2, 3)    |
-#                               |                   |
-#                  axis (const)-+-------------------+
-#
-#  will be the following after constant folding:
-#
-#                                           Pull --+
-#                                      shape [2]   |
-#                                                  |
-#                                  ConstGen------- TensorConcat -- Push
-#                                  (0, 1, 2, 3)      shape [6]
-#
-node {
-  name: "input1"
-  op: "Const"
-  attr {
-    key: "dtype" value { type: DT_FLOAT }
-  }
-  attr {
-    key: "value"
-    value {
-      tensor {
-        dtype: DT_FLOAT
-        tensor_shape { dim { size: 2 } }
-        float_val: -1
-        float_val: 1
-      }
-    }
-  }
-}
-node {
-  name: "relu"
-  op: "Relu"
-  input: "input1"
-  attr { key: "T" value { type: DT_FLOAT } }
-}
-node {
-  name: "input2"
-  op: "Const"
-  attr {
-    key: "dtype" value { type: DT_FLOAT }
-  }
-  attr {
-    key: "value"
-    value {
-      tensor {
-        dtype: DT_FLOAT
-        tensor_shape { dim { size: 2 } }
-        float_val: 2
-        float_val: 3
-      }
-    }
-  }
-}
-node {
-  name: "axis"
-  op: "Const"
-  attr { key: "dtype" value { type: DT_INT32 } }
-  attr {
-    key: "value"
-    value {
-      tensor {
-        dtype: DT_INT32
-        tensor_shape { }
-        int_val: 0
-      }
-    }
-  }
-}
-node {
-  name: "concat"
-  op: "ConcatV2"
-  input: "relu"
-  input: "input2"
-  input: "axis"
-  attr {
-    key: "N"
-    value { i: 2 }
-  }
-  attr {
-    key: "T"
-    value { type: DT_FLOAT }
-  }
-  attr {
-    key: "Tidx"
-    value { type: DT_INT32 }
-  }
-}
-node {
-  name: "placeholder"
-  op: "Placeholder"
-  attr {
-    key: "dtype" value { type: DT_FLOAT }
-  }
-  attr {
-    key: "shape"
-    value {
-      shape {
-        dim { size: 2 }
-      }
-    }
-  }
-}
-node {
-  name: "concat_out"
-  op: "ConcatV2"
-  input: "concat"
-  input: "placeholder"
-  input: "axis"
-  attr {
-    key: "N"
-    value { i: 2 }
-  }
-  attr {
-    key: "T"
-    value { type: DT_FLOAT }
-  }
-  attr {
-    key: "Tidx"
-    value { type: DT_INT32 }
-  }
-}
diff --git a/res/TensorFlowTests/TF_SMALL_NET_0012/test.info b/res/TensorFlowTests/TF_SMALL_NET_0012/test.info
deleted file mode 100644
index b210407fb..000000000
--- a/res/TensorFlowTests/TF_SMALL_NET_0012/test.info
+++ /dev/null
@@ -1,2 +0,0 @@
-input,  placeholder:0, TF_FLOAT, [6]
-output, reshape:0,     TF_FLOAT, [3, 2]
diff --git a/res/TensorFlowTests/TF_SMALL_NET_0012/test.pbtxt b/res/TensorFlowTests/TF_SMALL_NET_0012/test.pbtxt
deleted file mode 100644
index 387dc92f6..000000000
--- a/res/TensorFlowTests/TF_SMALL_NET_0012/test.pbtxt
+++ /dev/null
@@ -1,52 +0,0 @@
-# Network with dynamic reshape which has resolvable wildcard dimension
-node {
-  name: "placeholder"
-  op: "Placeholder"
-  attr {
-    key: "dtype"
-    value { type: DT_FLOAT }
-  }
-  attr {
-    key: "shape"
-    value {
-      shape {
-        dim { size: 6 }
-      }
-    }
-  }
-}
-node {
-  name: "shape"
-  op: "Const"
-  attr {
-    key: "dtype"
-    value { type: DT_INT32 }
-  }
-  attr {
-    key: "value"
-    value {
-      tensor {
-        dtype: DT_INT32
-        tensor_shape {
-          dim { size: 2 }
-        }
-        int_val: -1
-        int_val: 2
-      }
-    }
-  }
-}
-node {
-  name: "reshape"
-  op: "Reshape"
-  input: "placeholder"
-  input: "shape"
-  attr {
-    key: "T"
-    value { type: DT_FLOAT }
-  }
-  attr {
-    key: "Tshape"
-    value { type: DT_INT32 }
-  }
-}
diff --git a/res/TensorFlowTests/TF_SMALL_NET_0013/test.info b/res/TensorFlowTests/TF_SMALL_NET_0013/test.info
deleted file mode 100644
index 137cdfa8c..000000000
--- a/res/TensorFlowTests/TF_SMALL_NET_0013/test.info
+++ /dev/null
@@ -1,2 +0,0 @@
-input,  Placeholder:0,  TF_FLOAT,   [6]
-output, Reshape:0,      TF_FLOAT,   [2, 3]
diff --git a/res/TensorFlowTests/TF_SMALL_NET_0013/test.pbtxt b/res/TensorFlowTests/TF_SMALL_NET_0013/test.pbtxt
deleted file mode 100644
index a9c6aff98..000000000
--- a/res/TensorFlowTests/TF_SMALL_NET_0013/test.pbtxt
+++ /dev/null
@@ -1,72 +0,0 @@
-# Network containing Shape node, which becomes Reshape's 'shape' input
-# Note that this is a work-around to test Shape
-#
-#                (tensor)
-#   Placeholder ---------- Reshape 
-#                        /
-#     Const --- Shape ---
-#                      (shape)
-node {
-  name: "Placeholder"
-  op: "Placeholder"
-  attr {
-    key: "dtype"
-    value { type: DT_FLOAT }
-  }
-  attr {
-    key: "shape"
-    value {
-      shape {
-        dim { size: 6 }
-      }
-    }
-  }
-}
-node {
-  name: "Const"
-  op: "Const"
-  attr {
-    key: "dtype"
-    value { type: DT_FLOAT }
-  }
-  attr {
-    key: "value"
-    value {
-      tensor {
-        dtype: DT_FLOAT
-        tensor_shape {
-          dim { size: 2 }
-          dim { size: 3 }
-        }
-        float_val: 1.0
-      }
-    }
-  }
-}
-node {
-  name: "Shape"
-  op: "Shape"
-  input: "Const"
-  attr {
-    key: "T"
-    value { type: DT_FLOAT }
-  }
-  attr {
-    key: "out_type"
-    value { type: DT_INT32 }
-  }
-}
-node {
-  name: "Reshape"
-  op: "Reshape"
-  input: "Placeholder"
-  input: "Shape"
-  attr {
-    key: "T"
-    value { type: DT_FLOAT }
-  }
-  attr {
-    key: "Tshape"
-    value { type: DT_INT32 }
-  }
-}
diff --git a/res/TensorFlowTests/TF_SMALL_NET_0014/test.info b/res/TensorFlowTests/TF_SMALL_NET_0014/test.info
deleted file mode 100644
index d3ea85a10..000000000
--- a/res/TensorFlowTests/TF_SMALL_NET_0014/test.info
+++ /dev/null
@@ -1,2 +0,0 @@
-input,  placeholder:0,  TF_FLOAT,   [2, 1, 1, 3]
-output, reshape_2:0,    TF_FLOAT,   [2, 3]
diff --git a/res/TensorFlowTests/TF_SMALL_NET_0014/test.pbtxt b/res/TensorFlowTests/TF_SMALL_NET_0014/test.pbtxt
deleted file mode 100644
index d4bc8e698..000000000
--- a/res/TensorFlowTests/TF_SMALL_NET_0014/test.pbtxt
+++ /dev/null
@@ -1,106 +0,0 @@
-# Mock of the Epilogue, using ReLU instead of Softmax
-node {
-  name: "placeholder"
-  op: "Placeholder"
-  attr {
-    key: "dtype"
-    value { type: DT_FLOAT }
-  }
-  attr {
-    key: "shape"
-    value {
-      shape {
-        dim { size: 2 }
-        dim { size: 1 }
-        dim { size: 1 }
-        dim { size: 3 }
-      }
-    }
-  }
-}
-node {
-  name: "squeeze"
-  op: "Squeeze"
-  input: "placeholder"
-  attr {
-    key: "T"
-    value { type: DT_FLOAT }
-  }
-  attr {
-    key: "squeeze_dims"
-    value {
-      list { i: 1 i: 2 }
-    }
-  }
-}
-node {
-  name: "Reshape/shape"
-  op: "Const"
-  attr {
-    key: "dtype"
-    value { type: DT_INT32 }
-  }
-  attr {
-    key: "value"
-    value {
-      tensor {
-        dtype: DT_INT32
-        tensor_shape {
-          dim { size: 2 }
-        }
-        int_val: -1
-        int_val: 3
-      }
-    }
-  }
-}
-node {
-  name: "reshape_1"
-  op: "Reshape"
-  input: "squeeze"
-  input: "Reshape/shape"
-  attr {
-    key: "T"
-    value { type: DT_FLOAT }
-  }
-  attr {
-    key: "Tshape"
-    value { type: DT_INT32 }
-  }
-}
-node {
-  name: "relu"
-  op: "Relu"
-  input: "reshape_1"
-  attr {
-    key: "T"
-    value { type: DT_FLOAT }
-  }
-}
-node {
-  name: "shape"
-  op: "Shape"
-  input: "squeeze"
-  attr {
-    key: "T"
-    value { type: DT_FLOAT }
-  }
-  attr {
-    key: "out_type"
-    value { type: DT_INT32 }
-  }
-}
-node {
-  name: "reshape_2"
-  op: "Reshape"
-  input: "relu"
-  input: "shape"
-  attr {
-    key: "T"
-    value { type: DT_FLOAT }
-  }
-  attr {
-    key: "Tshape"
-    value { type: DT_INT32 }
-  }
-}
diff --git a/res/TensorFlowTests/TF_SMALL_NET_0015/test.info b/res/TensorFlowTests/TF_SMALL_NET_0015/test.info
deleted file mode 100644
index dbbef9b3a..000000000
--- a/res/TensorFlowTests/TF_SMALL_NET_0015/test.info
+++ /dev/null
@@ -1,2 +0,0 @@
-input,  Placeholder:0,   TF_FLOAT,   [2, 3]
-output, as_rsqrt:0,      TF_FLOAT,   [2, 3]
diff --git a/res/TensorFlowTests/TF_SMALL_NET_0015/test.pbtxt b/res/TensorFlowTests/TF_SMALL_NET_0015/test.pbtxt
deleted file mode 100644
index 3d994e8d5..000000000
--- a/res/TensorFlowTests/TF_SMALL_NET_0015/test.pbtxt
+++ /dev/null
@@ -1,74 +0,0 @@
-# A simple network that simulates Rsqrt: 1.0 / Sqrt(input)
-node {
-  name: "Placeholder"
-  op: "Placeholder"
-  attr {
-    key: "dtype"
-    value {
-      type: DT_FLOAT
-    }
-  }
-  attr {
-    key: "shape"
-    value {
-      shape {
-        dim {
-          size: 2
-        }
-        dim {
-          size: 3
-        }
-      }
-    }
-  }
-}
-node {
-  name: "SQRT_02"
-  op: "Sqrt"
-  input: "Placeholder"
-  attr {
-    key: "T"
-    value {
-      type: DT_FLOAT
-    }
-  }
-}
-node {
-  name: "Const"
-  op: "Const"
-  attr {
-    key: "dtype"
-    value {
-      type: DT_FLOAT
-    }
-  }
-  attr {
-    key: "value"
-    value {
-      tensor {
-        dtype: DT_FLOAT
-        tensor_shape {
-          dim {
-            size: 2
-          }
-          dim {
-            size: 3
-          }
-        }
-        float_val: 1.0
-      }
-    }
-  }
-}
-node {
-  name: "as_rsqrt"
-  op: "RealDiv"
-  input: "Const"
-  input: "SQRT_02"
-  attr {
-    key: "T"
-    value {
-      type: DT_FLOAT
-    }
-  }
-}