[res] Add testcases for merging concat (#7961)

This commit will add testcases for `MergeConcat` optimization

Signed-off-by: Seok NamKoong <sk.namkoong@samsung.com>

diff --git a/res/TensorFlowTests/NET_0029/test.info b/res/TensorFlowTests/NET_0029/test.info
new file mode 100644 (file)
index 0000000..9b3bf7d
--- /dev/null
+++ b/res/TensorFlowTests/NET_0029/test.info
@@ -0,0 +1,5 @@
+input,  Placeholder:0,  TF_FLOAT,  [1, 2, 3, 1]
+input,  Placeholder_1:0,  TF_FLOAT,  [1, 2, 3, 1]
+input,  Placeholder_2:0,  TF_FLOAT,  [1, 2, 3, 1]
+input,  Placeholder_3:0,  TF_FLOAT,  [1, 2, 3, 1]
+output, concat_2:0,   TF_FLOAT,  [1, 2, 3, 4]

diff --git a/res/TensorFlowTests/NET_0029/test.manifest b/res/TensorFlowTests/NET_0029/test.manifest
new file mode 100644 (file)
index 0000000..33c689b
--- /dev/null
+++ b/res/TensorFlowTests/NET_0029/test.manifest
@@ -0,0 +1 @@
+SUMMARY: Multiple concats only with same axes, which are consisted only with 2 inputs

diff --git a/res/TensorFlowTests/NET_0029/test.pbtxt b/res/TensorFlowTests/NET_0029/test.pbtxt
new file mode 100644 (file)
index 0000000..22d86d0
--- /dev/null
+++ b/res/TensorFlowTests/NET_0029/test.pbtxt
@@ -0,0 +1,254 @@
+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: 1
+        }
+      }
+    }
+  }
+}
+node {
+  name: "Placeholder_1"
+  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: 1
+        }
+      }
+    }
+  }
+}
+node {
+  name: "Placeholder_2"
+  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: 1
+        }
+      }
+    }
+  }
+}
+node {
+  name: "Placeholder_3"
+  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: 1
+        }
+      }
+    }
+  }
+}
+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"
+  input: "Placeholder_1"
+  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: "concat"
+  input: "Placeholder_2"
+  input: "concat_1/axis"
+  attr {
+    key: "N"
+    value {
+      i: 2
+    }
+  }
+  attr {
+    key: "T"
+    value {
+      type: DT_FLOAT
+    }
+  }
+  attr {
+    key: "Tidx"
+    value {
+      type: DT_INT32
+    }
+  }
+}
+node {
+  name: "concat_2/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_2"
+  op: "ConcatV2"
+  input: "concat_1"
+  input: "Placeholder_3"
+  input: "concat_2/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/NET_0030/test.info b/res/TensorFlowTests/NET_0030/test.info
new file mode 100644 (file)
index 0000000..09ae1ec
--- /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 (file)
index 0000000..b0496d7
--- /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 (file)
index 0000000..270920d
--- /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
+    }
+  }
+}

diff --git a/res/TensorFlowTests/NET_0031/test.info b/res/TensorFlowTests/NET_0031/test.info
new file mode 100644 (file)
index 0000000..9c2d636
--- /dev/null
+++ b/res/TensorFlowTests/NET_0031/test.info
@@ -0,0 +1,6 @@
+input,  Placeholder:0,  TF_FLOAT,  [1, 1, 1, 1]
+input,  Placeholder_1:0,  TF_FLOAT,  [1, 1, 1, 1]
+input,  Placeholder_2:0,  TF_FLOAT,  [1, 1, 2, 1]
+input,  Placeholder_3:0,  TF_FLOAT,  [1, 1, 2, 2]
+input,  Placeholder_4:0,  TF_FLOAT,  [1, 1, 2, 4]
+output, concat_3:0,   TF_FLOAT,  [1, 2, 2, 4]

diff --git a/res/TensorFlowTests/NET_0031/test.manifest b/res/TensorFlowTests/NET_0031/test.manifest
new file mode 100644 (file)
index 0000000..0bb09e5
--- /dev/null
+++ b/res/TensorFlowTests/NET_0031/test.manifest
@@ -0,0 +1 @@
+SUMMARY: Multiple concats with different axes. Concats with same axes are non-terminal but possible to merge

diff --git a/res/TensorFlowTests/NET_0031/test.pbtxt b/res/TensorFlowTests/NET_0031/test.pbtxt
new file mode 100644 (file)
index 0000000..6c152ea
--- /dev/null
+++ b/res/TensorFlowTests/NET_0031/test.pbtxt
@@ -0,0 +1,329 @@
+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: 1
+        }
+      }
+    }
+  }
+}
+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: 2
+        }
+        dim {
+          size: 1
+        }
+      }
+    }
+  }
+}
+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: 2
+        }
+        dim {
+          size: 2
+        }
+      }
+    }
+  }
+}
+node {
+  name: "Placeholder_4"
+  op: "Placeholder"
+  attr {
+    key: "dtype"
+    value {
+      type: DT_FLOAT
+    }
+  }
+  attr {
+    key: "shape"
+    value {
+      shape {
+        dim {
+          size: 1
+        }
+        dim {
+          size: 1
+        }
+        dim {
+          size: 2
+        }
+        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: 2
+      }
+    }
+  }
+}
+node {
+  name: "concat"
+  op: "ConcatV2"
+  input: "Placeholder"
+  input: "Placeholder_1"
+  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: "concat"
+  input: "Placeholder_2"
+  input: "concat_1/axis"
+  attr {
+    key: "N"
+    value {
+      i: 2
+    }
+  }
+  attr {
+    key: "T"
+    value {
+      type: DT_FLOAT
+    }
+  }
+  attr {
+    key: "Tidx"
+    value {
+      type: DT_INT32
+    }
+  }
+}
+node {
+  name: "concat_2/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_2"
+  op: "ConcatV2"
+  input: "concat_1"
+  input: "Placeholder_3"
+  input: "concat_2/axis"
+  attr {
+    key: "N"
+    value {
+      i: 2
+    }
+  }
+  attr {
+    key: "T"
+    value {
+      type: DT_FLOAT
+    }
+  }
+  attr {
+    key: "Tidx"
+    value {
+      type: DT_INT32
+    }
+  }
+}
+node {
+  name: "concat_3/axis"
+  op: "Const"
+  attr {
+    key: "dtype"
+    value {
+      type: DT_INT32
+    }
+  }
+  attr {
+    key: "value"
+    value {
+      tensor {
+        dtype: DT_INT32
+        tensor_shape {
+        }
+        int_val: 1
+      }
+    }
+  }
+}
+node {
+  name: "concat_3"
+  op: "ConcatV2"
+  input: "concat_2"
+  input: "Placeholder_4"
+  input: "concat_3/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/NET_0032/test.info b/res/TensorFlowTests/NET_0032/test.info
new file mode 100644 (file)
index 0000000..d0f91d1
--- /dev/null
+++ b/res/TensorFlowTests/NET_0032/test.info
@@ -0,0 +1,7 @@
+# The number of final concat nodes should be 3
+input,  Placeholder:0,  TF_FLOAT,  [1, 2, 3, 1]
+input,  Placeholder_1:0,  TF_FLOAT,  [1, 2, 3, 1]
+input,  Placeholder_2:0,  TF_FLOAT,  [1, 2, 3, 1]
+input,  Placeholder_3:0,  TF_FLOAT,  [1, 1, 3, 3]
+input,  Placeholder_4:0,  TF_FLOAT,  [1, 1, 3, 3]
+output, concat_3:0,   TF_FLOAT,  [1, 2, 6, 3]

diff --git a/res/TensorFlowTests/NET_0032/test.manifest b/res/TensorFlowTests/NET_0032/test.manifest
new file mode 100644 (file)
index 0000000..714581b
--- /dev/null
+++ b/res/TensorFlowTests/NET_0032/test.manifest
@@ -0,0 +1 @@
+SUMMARY: Multiple concats with different axes. Concats with same axes are terminal and possible to merge

diff --git a/res/TensorFlowTests/NET_0032/test.pbtxt b/res/TensorFlowTests/NET_0032/test.pbtxt
new file mode 100644 (file)
index 0000000..2ef2c58
--- /dev/null
+++ b/res/TensorFlowTests/NET_0032/test.pbtxt
@@ -0,0 +1,329 @@
+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: 1
+        }
+      }
+    }
+  }
+}
+node {
+  name: "Placeholder_1"
+  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: 1
+        }
+      }
+    }
+  }
+}
+node {
+  name: "Placeholder_2"
+  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: 1
+        }
+      }
+    }
+  }
+}
+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: 3
+        }
+        dim {
+          size: 3
+        }
+      }
+    }
+  }
+}
+node {
+  name: "Placeholder_4"
+  op: "Placeholder"
+  attr {
+    key: "dtype"
+    value {
+      type: DT_FLOAT
+    }
+  }
+  attr {
+    key: "shape"
+    value {
+      shape {
+        dim {
+          size: 1
+        }
+        dim {
+          size: 1
+        }
+        dim {
+          size: 3
+        }
+        dim {
+          size: 3
+        }
+      }
+    }
+  }
+}
+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"
+  input: "Placeholder_1"
+  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: "concat"
+  input: "Placeholder_2"
+  input: "concat_1/axis"
+  attr {
+    key: "N"
+    value {
+      i: 2
+    }
+  }
+  attr {
+    key: "T"
+    value {
+      type: DT_FLOAT
+    }
+  }
+  attr {
+    key: "Tidx"
+    value {
+      type: DT_INT32
+    }
+  }
+}
+node {
+  name: "concat_2/axis"
+  op: "Const"
+  attr {
+    key: "dtype"
+    value {
+      type: DT_INT32
+    }
+  }
+  attr {
+    key: "value"
+    value {
+      tensor {
+        dtype: DT_INT32
+        tensor_shape {
+        }
+        int_val: 1
+      }
+    }
+  }
+}
+node {
+  name: "concat_2"
+  op: "ConcatV2"
+  input: "Placeholder_4"
+  input: "Placeholder_3"
+  input: "concat_2/axis"
+  attr {
+    key: "N"
+    value {
+      i: 2
+    }
+  }
+  attr {
+    key: "T"
+    value {
+      type: DT_FLOAT
+    }
+  }
+  attr {
+    key: "Tidx"
+    value {
+      type: DT_INT32
+    }
+  }
+}
+node {
+  name: "concat_3/axis"
+  op: "Const"
+  attr {
+    key: "dtype"
+    value {
+      type: DT_INT32
+    }
+  }
+  attr {
+    key: "value"
+    value {
+      tensor {
+        dtype: DT_INT32
+        tensor_shape {
+        }
+        int_val: 2
+      }
+    }
+  }
+}
+node {
+  name: "concat_3"
+  op: "ConcatV2"
+  input: "concat_1"
+  input: "concat_2"
+  input: "concat_3/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/NET_0033/test.info b/res/TensorFlowTests/NET_0033/test.info
new file mode 100644 (file)
index 0000000..30a2425
--- /dev/null
+++ b/res/TensorFlowTests/NET_0033/test.info
@@ -0,0 +1,7 @@
+# The number of final concat node should be 3
+input,  Placeholder:0,  TF_FLOAT,  [1, 2, 3, 1]
+input,  Placeholder_1:0,  TF_FLOAT,  [1, 2, 3, 1]
+input,  Placeholder_2:0,  TF_FLOAT,  [1, 2, 3, 2]
+input,  Placeholder_3:0,  TF_FLOAT,  [1, 2, 3, 2]
+input,  Placeholder_4:0,  TF_FLOAT,  [1, 2, 3, 2]
+output, concat_3:0,   TF_FLOAT,  [1, 4, 6, 2]

diff --git a/res/TensorFlowTests/NET_0033/test.manifest b/res/TensorFlowTests/NET_0033/test.manifest
new file mode 100644 (file)
index 0000000..0c1ddcd
--- /dev/null
+++ b/res/TensorFlowTests/NET_0033/test.manifest
@@ -0,0 +1 @@
+SUMMARY: Multiple concats with different axes. Concats with same axes are non-terminal and not possible to merge

diff --git a/res/TensorFlowTests/NET_0033/test.pbtxt b/res/TensorFlowTests/NET_0033/test.pbtxt
new file mode 100644 (file)
index 0000000..c43940f
--- /dev/null
+++ b/res/TensorFlowTests/NET_0033/test.pbtxt
@@ -0,0 +1,329 @@
+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: 1
+        }
+      }
+    }
+  }
+}
+node {
+  name: "Placeholder_1"
+  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: 1
+        }
+      }
+    }
+  }
+}
+node {
+  name: "Placeholder_2"
+  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: "Placeholder_3"
+  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: "Placeholder_4"
+  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: "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"
+  input: "Placeholder_1"
+  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: 1
+      }
+    }
+  }
+}
+node {
+  name: "concat_1"
+  op: "ConcatV2"
+  input: "concat"
+  input: "Placeholder_2"
+  input: "concat_1/axis"
+  attr {
+    key: "N"
+    value {
+      i: 2
+    }
+  }
+  attr {
+    key: "T"
+    value {
+      type: DT_FLOAT
+    }
+  }
+  attr {
+    key: "Tidx"
+    value {
+      type: DT_INT32
+    }
+  }
+}
+node {
+  name: "concat_2/axis"
+  op: "Const"
+  attr {
+    key: "dtype"
+    value {
+      type: DT_INT32
+    }
+  }
+  attr {
+    key: "value"
+    value {
+      tensor {
+        dtype: DT_INT32
+        tensor_shape {
+        }
+        int_val: 1
+      }
+    }
+  }
+}
+node {
+  name: "concat_2"
+  op: "ConcatV2"
+  input: "Placeholder_4"
+  input: "Placeholder_3"
+  input: "concat_2/axis"
+  attr {
+    key: "N"
+    value {
+      i: 2
+    }
+  }
+  attr {
+    key: "T"
+    value {
+      type: DT_FLOAT
+    }
+  }
+  attr {
+    key: "Tidx"
+    value {
+      type: DT_INT32
+    }
+  }
+}
+node {
+  name: "concat_3/axis"
+  op: "Const"
+  attr {
+    key: "dtype"
+    value {
+      type: DT_INT32
+    }
+  }
+  attr {
+    key: "value"
+    value {
+      tensor {
+        dtype: DT_INT32
+        tensor_shape {
+        }
+        int_val: 2
+      }
+    }
+  }
+}
+node {
+  name: "concat_3"
+  op: "ConcatV2"
+  input: "concat_1"
+  input: "concat_2"
+  input: "concat_3/axis"
+  attr {
+    key: "N"
+    value {
+      i: 2
+    }
+  }
+  attr {
+    key: "T"
+    value {
+      type: DT_FLOAT
+    }
+  }
+  attr {
+    key: "Tidx"
+    value {
+      type: DT_INT32
+    }
+  }
+}