1 files changed, 271 insertions, 0 deletions
diff --git a/res/TensorFlowTests/NET_0016/test.pbtxt b/res/TensorFlowTests/NET_0016/test.pbtxt
new file mode 100644
index 000000000..64e5c4194
--- /dev/null
+++ b/res/TensorFlowTests/NET_0016/test.pbtxt
@@ -0,0 +1,271 @@
+# Small Conv2D + FusedBatchNorm network with Identity
+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
+      }
+    }
+  }
+}
+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: "offset/id"
+  op: "Identity"
+  input: "offset"
+  attr {
+    key: "T"
+    value {
+      type: DT_FLOAT
+    }
+  }
+}
+node {
+  name: "FusedBatchNorm/mean/id"
+  op: "Identity"
+  input: "FusedBatchNorm/mean"
+  attr {
+    key: "T"
+    value {
+      type: DT_FLOAT
+    }
+  }
+}
+node {
+  name: "FusedBatchNorm/variance/id"
+  op: "Identity"
+  input: "FusedBatchNorm/variance"
+  attr {
+    key: "T"
+    value {
+      type: DT_FLOAT
+    }
+  }
+}
+node {
+  name: "FusedBatchNorm"
+  op: "FusedBatchNorm"
+  input: "Conv2D"
+  input: "scale"
+  input: "offset/id"
+  input: "FusedBatchNorm/mean/id"
+  input: "FusedBatchNorm/variance/id"
+  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
+    }
+  }
+}