id { node_name: "y_const" }
  shape {
    dim { size: 1 }
  }
}
feed {
  id { node_name: "z_identity"}
  shape {
    dim { size: 1 }
  }
}
fetch {
  id { node_name: "x_y_sum" }
}
fetch {
  id { node_name: "x_z_sum" }

  shape {
    dim { size: 1 }
  }
}
feed {
  id { node_name: "z" output_index: 1}
  shape {
    dim { size: 1 }
  }
  type: DT_INT32
}
fetch {
  id { node_name: "x_y_sum" }
}
fetch {
  id { node_name: "x_z_sum" }

}
node {
  name  : "x_y_sum"
  op    : "Add"
  input : "x_const"
  input : "y_const"
  attr { key  : "T" value { type: DT_INT32 } }
}
node {
  name  : "z"
  op    : "SomeUnknownOp"
  input : "x_const"
}
node {
  name  : "z_identity"
  op    : "Identity"
  input : "z:1"
  attr { key  : "T" value { type: DT_INT32 } }
}
node {
  name  : "x_z_sum"
  op    : "Add"
  input : "x_const"

# the node x_y_sum = Add
# CHECK: INVALID ARGUMENTS: Dimensions must be equal, but are 2 and 3 for 'x_y_sum = Add[T=DT_INT32](aot_feed_0/x, aot_feed_0/y)'
# CHECK: math_ops.add(x, y, name='x_y_sum')
# CHECK: build_graph(out_dir)

# Checks the error message produced by tfcompile without mlir_component
# OLD: INVALID ARGUMENTS: Incompatible shapes: [2] vs. [3]
# OLD: x_y_sum

node: {
  name: "x"

# Checks that source debug information is used in the output error message.
# CHECK: error: 'tf.Add' op operands don't have broadcast-compatible shapes
# CHECK: math_ops.add(x, y, name='x_y_sum')
# CHECK: build_graph(out_dir)
node: {
  name: "x"
  op: "Placeholder"
  attr: {

  id { node_name: "y_hold" }
  shape {
    dim { size: 2 }
    dim { size: 2 }
  }
  name: "y"
}
fetch {
  id { node_name: "x_y_prod" }
  name: "x_y_prod"
}
fetch {
  id { node_name: "x_y_sum" }
  name: "x_y_sum"

  x = value
  y = value
  math_ops.add(x, y, name='x_y_sum')

files: "org_tensorflow/tensorflow/compiler/aot/tests/test_error_message.lit.pbtxt.fake_py.debug"
traces: {
  key: "x@"
  value: {
    file_line_cols: {
      line: 1
      col:  1
    }
  }
}
traces: {
  key: "x_y_sum@"
  value: {
    file_line_cols: {
      line: 3
      col:  1
    }
    file_line_cols: {
      line: 4
      col:  1
    }
  }
}
traces: {
  key: "y@"
  value: {
    file_line_cols: {

feed {
  id { node_name: "x_const" }
  shape {
    dim { size: 1 }
  }
}
feed {
  id { node_name: "y_reshape" }
  shape {
    dim { size: 1 }
  }
}
fetch {
  id { node_name: "x_y_sum" }

feed {
  id { node_name: "x_const" }
  shape {
    dim { size: 1 }
  }
}
feed {
  id { node_name: "y_const" }
  shape {
    dim { size: 1 }
  }
}
fetch {
  id { node_name: "x_y_sum" }