4 files changed, 222 insertions, 0 deletions
diff --git a/res/TensorFlowTests/NET_0030/circle_1.0_rel_requirement.rule b/res/TensorFlowTests/NET_0030/circle_1.0_rel_requirement.rule
new file mode 100644
index 000000000..9f14051c3
--- /dev/null
+++ b/res/TensorFlowTests/NET_0030/circle_1.0_rel_requirement.rule
@@ -0,0 +1,7 @@
+# tf2circle-dredd-pbtxt-test against two Concat ops with same axis
+
+RULE    "VERIFY_FILE_FORMAT"      $(verify_file_format) '=' 1  # 1 means verification is OK
+
+RULE    "ALL_OP_COUNT"            $(all_op_count) '=' 1
+RULE    "OP_COUNT_CONCATENATION"  $(op_count CONCATENATION) '=' 1
+RULE    "FILE_SIZE"               $(file_size) '<=' 650      # real size is 616 as of 191105
diff --git a/res/TensorFlowTests/NET_0030/test.info b/res/TensorFlowTests/NET_0030/test.info
new file mode 100644
index 000000000..09ae1ec6d
--- /dev/null
+++ b/res/TensorFlowTests/NET_0030/test.info
@@ -0,0 +1,5 @@
+input,  Placeholder:0,  TF_FLOAT,  [1, 1, 1, 1]
+input,  Placeholder_1:0,  TF_FLOAT,  [1, 1, 1, 2]
+input,  Placeholder_2:0,  TF_FLOAT,  [1, 1, 1, 3]
+input,  Placeholder_3:0,  TF_FLOAT,  [1, 1, 1, 4]
+output, concat_1:0,   TF_FLOAT,  [1, 1, 1, 10]
diff --git a/res/TensorFlowTests/NET_0030/test.manifest b/res/TensorFlowTests/NET_0030/test.manifest
new file mode 100644
index 000000000..b0496d787
--- /dev/null
+++ b/res/TensorFlowTests/NET_0030/test.manifest
@@ -0,0 +1 @@
+SUMMARY: Multiple concats only with same axes, which are consisted with more than 2 inputs
diff --git a/res/TensorFlowTests/NET_0030/test.pbtxt b/res/TensorFlowTests/NET_0030/test.pbtxt
new file mode 100644
index 000000000..270920d9d
--- /dev/null
+++ b/res/TensorFlowTests/NET_0030/test.pbtxt
@@ -0,0 +1,209 @@
+node {
+  name: "Placeholder"
+  op: "Placeholder"
+  attr {
+    key: "dtype"
+    value {
+      type: DT_FLOAT
+    }
+  }
+  attr {
+    key: "shape"
+    value {
+      shape {
+        dim {
+          size: 1
+        }
+        dim {
+          size: 1
+        }
+        dim {
+          size: 1
+        }
+        dim {
+          size: 1
+        }
+      }
+    }
+  }
+}
+node {
+  name: "Placeholder_1"
+  op: "Placeholder"
+  attr {
+    key: "dtype"
+    value {
+      type: DT_FLOAT
+    }
+  }
+  attr {
+    key: "shape"
+    value {
+      shape {
+        dim {
+          size: 1
+        }
+        dim {
+          size: 1
+        }
+        dim {
+          size: 1
+        }
+        dim {
+          size: 2
+        }
+      }
+    }
+  }
+}
+node {
+  name: "Placeholder_2"
+  op: "Placeholder"
+  attr {
+    key: "dtype"
+    value {
+      type: DT_FLOAT
+    }
+  }
+  attr {
+    key: "shape"
+    value {
+      shape {
+        dim {
+          size: 1
+        }
+        dim {
+          size: 1
+        }
+        dim {
+          size: 1
+        }
+        dim {
+          size: 3
+        }
+      }
+    }
+  }
+}
+node {
+  name: "Placeholder_3"
+  op: "Placeholder"
+  attr {
+    key: "dtype"
+    value {
+      type: DT_FLOAT
+    }
+  }
+  attr {
+    key: "shape"
+    value {
+      shape {
+        dim {
+          size: 1
+        }
+        dim {
+          size: 1
+        }
+        dim {
+          size: 1
+        }
+        dim {
+          size: 4
+        }
+      }
+    }
+  }
+}
+node {
+  name: "concat/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: "Placeholder_1"
+  input: "Placeholder_2"
+  input: "concat/axis"
+  attr {
+    key: "N"
+    value {
+      i: 2
+    }
+  }
+  attr {
+    key: "T"
+    value {
+      type: DT_FLOAT
+    }
+  }
+  attr {
+    key: "Tidx"
+    value {
+      type: DT_INT32
+    }
+  }
+}
+node {
+  name: "concat_1/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_1"
+  op: "ConcatV2"
+  input: "Placeholder"
+  input: "concat"
+  input: "Placeholder_3"
+  input: "concat_1/axis"
+  attr {
+    key: "N"
+    value {
+      i: 3
+    }
+  }
+  attr {
+    key: "T"
+    value {
+      type: DT_FLOAT
+    }
+  }
+  attr {
+    key: "Tidx"
+    value {
+      type: DT_INT32
+    }
+  }
+}