5 files changed, 181 insertions, 0 deletions
diff --git a/res/TensorFlowTests/NET_0025/circle_1.0_rel_requirement.rule b/res/TensorFlowTests/NET_0025/circle_1.0_rel_requirement.rule
new file mode 100644
index 000000000..fc3f7af80
--- /dev/null
+++ b/res/TensorFlowTests/NET_0025/circle_1.0_rel_requirement.rule
@@ -0,0 +1,8 @@
+# tf2circle-dredd-pbtxt-test against CBR fusion
+
+RULE    "VERIFY_FILE_FORMAT"      $(verify_file_format) '=' 1  # 1 means verification is OK
+
+RULE    "ALL_OP_COUNT"            $(all_op_count) '=' 1
+RULE    "OP_COUNT_CONV2D"         $(op_count CONV_2D) '=' 1
+RULE    "WEIGHT_CONST"            $(conv2d_weight_not_constant) '=' 0
+RULE    "FILE_SIZE"               $(file_size) '<' 1040   # As of 191105, file size is 1016
diff --git a/res/TensorFlowTests/NET_0025/test.info b/res/TensorFlowTests/NET_0025/test.info
new file mode 100644
index 000000000..6c5eafde7
--- /dev/null
+++ b/res/TensorFlowTests/NET_0025/test.info
@@ -0,0 +1,3 @@
+# This is a slim version of first 4 nodes in inception v3 (from Placeholder to the first RelU)
+input,  input:0,  TF_FLOAT,  [1, 5, 5, 3]
+output, InceptionV3/InceptionV3/Conv2d_1a_3x3/Relu:0,  TF_FLOAT,  [1, 2, 2, 4]
diff --git a/res/TensorFlowTests/NET_0025/test.manifest b/res/TensorFlowTests/NET_0025/test.manifest
new file mode 100644
index 000000000..99a2c81a0
--- /dev/null
+++ b/res/TensorFlowTests/NET_0025/test.manifest
@@ -0,0 +1 @@
+SUMMARY: Simple CBR(Conv2D + BiasAdd + ReLU) network 
diff --git a/res/TensorFlowTests/NET_0025/test.pbtxt b/res/TensorFlowTests/NET_0025/test.pbtxt
new file mode 100644
index 000000000..e927864d8
--- /dev/null
+++ b/res/TensorFlowTests/NET_0025/test.pbtxt
@@ -0,0 +1,161 @@
+node {
+  name: "InceptionV3/Conv2d_1a_3x3/weights/read/_3__cf__3"
+  op: "Const"
+  attr {
+    key: "dtype"
+    value {
+      type: DT_FLOAT
+    }
+  }
+  attr {
+    key: "value"
+    value {
+      tensor {
+        dtype: DT_FLOAT
+        tensor_shape {
+          dim {
+            size: 3
+          }
+          dim {
+            size: 3
+          }
+          dim {
+            size: 3
+          }
+          dim {
+            size: 4
+          }
+        }
+        float_val: 1.0
+      }
+    }
+  }
+}
+node {
+  name: "input"
+  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: "InceptionV3/InceptionV3/Conv2d_1a_3x3/Conv2D"
+  op: "Conv2D"
+  input: "input:0"
+  input: "InceptionV3/Conv2d_1a_3x3/weights/read/_3__cf__3"
+  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: 2
+        i: 2
+        i: 1
+      }
+    }
+  }
+}
+node {
+  name: "InceptionV3/InceptionV3/Conv2d_1a_3x3/Conv2D_bn_offset"
+  op: "Const"
+  attr {
+    key: "dtype"
+    value {
+      type: DT_FLOAT
+    }
+  }
+  attr {
+    key: "value"
+    value {
+      tensor {
+        dtype: DT_FLOAT
+        tensor_shape {
+          dim {
+            size: 4
+          }
+        }
+        float_val: 1.0
+      }
+    }
+  }
+}
+node {
+  name: "InceptionV3/InceptionV3/Conv2d_1a_3x3/BatchNorm/FusedBatchNorm"
+  op: "BiasAdd"
+  input: "InceptionV3/InceptionV3/Conv2d_1a_3x3/Conv2D"
+  input: "InceptionV3/InceptionV3/Conv2d_1a_3x3/Conv2D_bn_offset"
+  attr {
+    key: "T"
+    value {
+      type: DT_FLOAT
+    }
+  }
+  attr {
+    key: "data_format"
+    value {
+      s: "NHWC"
+    }
+  }
+}
+node {
+  name: "InceptionV3/InceptionV3/Conv2d_1a_3x3/Relu"
+  op: "Relu"
+  input: "InceptionV3/InceptionV3/Conv2d_1a_3x3/BatchNorm/FusedBatchNorm"
+  attr {
+    key: "T"
+    value {
+      type: DT_FLOAT
+    }
+  }
+}
diff --git a/res/TensorFlowTests/NET_0025/tflite_1.0_rel_requirement.rule b/res/TensorFlowTests/NET_0025/tflite_1.0_rel_requirement.rule
new file mode 100644
index 000000000..11296c7d9
--- /dev/null
+++ b/res/TensorFlowTests/NET_0025/tflite_1.0_rel_requirement.rule
@@ -0,0 +1,8 @@
+# tf2tflite-dredd-pbtxt-test against NET_0025, which is CBR(Conv2D + BiasAdd + ReLU) network
+# how to write a RULE:
+# RULE  rule_name           rule_function(actual value)  condition expected_value
+
+RULE    "ALL_OP_COUNT"            $(all_op_count) '=' 1
+RULE    "OP_COUNT_CONV2D"         $(op_count CONV_2D) '=' 1
+RULE    "WEIGHT_CONST"            $(conv2d_weight_not_constant) '=' 0
+RULE    "FILE_SIZE"               $(file_size) '<' 1040   # As of 191105, file size is 1016