tensorflow op Fill is not supported

[pengwa]

When I tried to convert dcgan inference model, TensorFlow Fill operator can not be converted well.

node {
  name: "generator/ones_1/shape_as_tensor"
  op: "Const"
  attr {
    key: "dtype"
    value {
      type: DT_INT32
    }
  }
  attr {
    key: "value"
    value {
      tensor {
        dtype: DT_INT32
        tensor_shape {
          dim {
            size: 4
          }
        }
        tensor_content: "@\000\000\000\016\000\000\000\016\000\000\000\n\000\000\000"
      }
    }
  }
}
node {
  name: "generator/ones_1/Const"
  op: "Const"
  attr {
    key: "dtype"
    value {
      type: DT_FLOAT
    }
  }
  attr {
    key: "value"
    value {
      tensor {
        dtype: DT_FLOAT
        tensor_shape {
        }
        float_val: 1.0
      }
    }
  }
}
node {
  name: "generator/ones_1"
  op: "Fill"
  input: "generator/ones_1/shape_as_tensor"
  input: "generator/ones_1/Const"
  attr {
    key: "T"
    value {
      type: DT_FLOAT
    }
  }
  attr {
    key: "index_type"
    value {
      type: DT_INT32
    }
  }
}

While on the other hand, the corresponding operator in ONNX ConstantFill is in experimental stage.

Since the mapping is pretty straight forward, I will create a pull request for fixing this.

[guschmue]

This should be fixed.