message: added missing shapefn to several operators
diff: @@ -1533,6 +1533,7 @@ REGISTER_OP("__MklDummyConv2DWithBias")
  .Attr(GetPaddingAttrString())
  .Attr(GetConvnetDataFormatAttrString())
  .Attr("dilations: list(int) = [1, 1, 1, 1]")
  + .SetShapeFn(shape_inference::Conv2DShape)
  .Doc(R"doc(
  Dummy node that enables fusing Conv2D and BiasAdd operator for MKL. This node
  does not perform anything. It is just created as an intermediate output of
  @@ -1559,6 +1560,7 @@ REGISTER_OP("_MklConv2DWithBias")
  .Attr(GetPaddingAttrString())
  .Attr(GetConvnetDataFormatAttrString())
  .Attr("dilations: list(int) = [1, 1, 1, 1]")
  + .SetShapeFn(shape_inference::Conv2DShape)
  .Doc(R"doc(
  MKL version of Conv2D and BiasAdd operator. Uses MKL DNN APIs to perform
  2D convolution and add Bias to the output of convolution.
  @@ -1681,6 +1683,7 @@ NOTE Do not invoke this operator directly in Python. Graph rewrite pass is
  expected to invoke these operators.
  )doc");
  +#ifdef INTEL_MKL_ML
  REGISTER_OP("_MklConv2DWithBiasBackpropBias")
  .Input("out_backprop: T")
  .Input("mkl_out_backprop: uint8")
  @@ -1697,6 +1700,7 @@ gradients of convolution with respect to the bias.
  NOTE Do not invoke this operator directly in Python. Graph rewrite pass is
  expected to invoke these operators.
  )doc");
  +#endif
  REGISTER_OP("_MklConv2DBackpropInput")
  .Input("input_sizes: int32")
  @@ -2154,6 +2158,7 @@ REGISTER_OP("_MklToTf")
  .Output("output: T")
  .Attr("T: {half, float, double}")
  .Attr(GetConvnetDataFormatAttrString())
  + .SetShapeFn(shape_inference::UnknownShape)
  .Doc(R"doc(
  MKL operator to convert a tensor from MKL layout to TensorFlow layout.
  @@ -2175,6 +2180,7 @@ REGISTER_OP("_MklInputConversion")
  "T: {half, float, double, uint8, int8, uint16, int16, int32, int64, "
  "complex64, complex128}")
  .Attr(GetConvnetDataFormatAttrString())
  + .SetShapeFn(shape_inference::UnknownShape)
  .Doc(R"doc(
  MKL operator to process the inputs to an elementwise MKL op. Both inputs
  need to be either in TF or in MKL format. This op is added before every
  