message: minor clang fix
diff: @@ -291,9 +291,8 @@ class MklConvFwdPrimitive : public MklPrimitive {
  // Create convolution primitive and add it to net
  if (!convFwdDims.bias_dims.empty()) {
  - context_.bias_mem.reset(
  - new memory({{convFwdDims.bias_dims}, MklDnnType<Tbias>(),
  - memory::format_tag::x},
  + context_.bias_mem.reset(new memory(
  + {{convFwdDims.bias_dims}, MklDnnType<Tbias>(), memory::format_tag::x},
  cpu_engine_, DummyData));
  context_.conv_fwd.reset(new convolution_forward(*context_.fwd_pd));
  context_.fwd_primitives_args.push_back(
  @@ -465,13 +464,15 @@ class MklConvOp : public OpKernel {
  OP_REQUIRES(context, dilations_.size() == 5,
  errors::InvalidArgument("Dilation rates field must "
  "specify 5 dimensions"));
  - OP_REQUIRES(context, (GetTensorDim(dilations_, data_format_, 'N') == 1 &&
  + OP_REQUIRES(context,
  + (GetTensorDim(dilations_, data_format_, 'N') == 1 &&
  GetTensorDim(dilations_, data_format_, 'C') == 1),
  errors::InvalidArgument(
  "Current implementation does not yet support "
  "dilations rates in the batch and depth dimensions."));
  OP_REQUIRES(
  - context, (GetTensorDim(dilations_, data_format_, '0') > 0 &&
  + context,
  + (GetTensorDim(dilations_, data_format_, '0') > 0 &&
  GetTensorDim(dilations_, data_format_, '1') > 0 &&
  GetTensorDim(dilations_, data_format_, '2') > 0),
  errors::InvalidArgument("Dilated rates should be larger than 0."));
  @@ -1749,9 +1750,10 @@ class MklQuantizedConv2DSumReluOp
  summand_mkl_shape.SetElemType(MklDnnType<Toutput>());
  }
  // TODO(intel-tf): Support cases when summand cannot be forwarded.
  - OP_REQUIRES(context, ForwardMklTensorInToOutWithMklShape(
  - context, summand_idx, 0, output_tensor,
  - summand_mkl_shape, false),
  + OP_REQUIRES(
  + context,
  + ForwardMklTensorInToOutWithMklShape(
  + context, summand_idx, 0, output_tensor, summand_mkl_shape, false),
  errors::InvalidArgument(
  "Summand cannot be forwarded in the current fusion."));
  return;
  