1 files changed, 218 insertions, 0 deletions
diff --git a/res/TensorFlowTests/NET_0004/test.pbtxt b/res/TensorFlowTests/NET_0004/test.pbtxt
new file mode 100644
index 000000000..18cdd65ff
--- /dev/null
+++ b/res/TensorFlowTests/NET_0004/test.pbtxt
@@ -0,0 +1,218 @@
+# 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
+    }
+  }
+}