message: Adds a randomized test for Atan.
  Resolves TODOs that are out of scope because conv op registration is non-C64 only.
diff: @@ -998,6 +998,13 @@ TEST_F(OpTest, Atanh) {
  });
  }
  +TEST_F(OpTest, Atan) {
  + Repeatedly([this]() {
  + return ExpectTfAndXlaOutputsAreClose(
  + OpTestBuilder("Atan").RandomInput(DT_FLOAT).Attr("T", DT_FLOAT));
  + });
  +}
  +
  TEST_F(OpTest, Atan2) {
  Repeatedly([this]() {
  auto dims = BroadcastableDims();
  @@ -1382,7 +1389,7 @@ TEST_F(OpTest, Conv2D) {
  std::vector<int64> kernel_dims = {d.kernel_dims[0], d.kernel_dims[1],
  features_in, features_out};
  - DataType type = DT_FLOAT; // TODO(b/65408531): COMPLEX_64 support
  + DataType type = DT_FLOAT;
  return ExpectTfAndXlaOutputsAreClose(
  OpTestBuilder("Conv2D")
  .RandomInput(type, data_dims)
  @@ -1407,7 +1414,7 @@ TEST_F(OpTest, Conv2DBackpropFilter) {
  ImageDims(FORMAT_NHWC, batch, features_out, d.output_dims);
  Tensor kernel_shape = test::AsTensor<int32>(AsInt32s(
  {d.kernel_dims[0], d.kernel_dims[1], features_in, features_out}));
  - DataType type = DT_FLOAT; // TODO(b/65408531): COMPLEX_64 support
  + DataType type = DT_FLOAT;
  return ExpectTfAndXlaOutputsAreClose(
  OpTestBuilder("Conv2DBackpropFilter")
  .RandomInput(type, activations)
  @@ -1433,7 +1440,7 @@ TEST_F(OpTest, Conv2DBackpropInput) {
  ImageDims(FORMAT_NHWC, batch, features_out, d.output_dims);
  std::vector<int64> kernel = {d.kernel_dims[0], d.kernel_dims[1],
  features_in, features_out};
  - DataType type = DT_FLOAT; // TODO(b/65408531): COMPLEX_64 support
  + DataType type = DT_FLOAT;
  return ExpectTfAndXlaOutputsAreClose(
  OpTestBuilder("Conv2DBackpropInput")
  .Input(in_shape)
  @@ -1457,7 +1464,7 @@ TEST_F(OpTest, Conv3D) {
  std::vector<int64> kernel = {d.kernel_dims[0], d.kernel_dims[1],
  d.kernel_dims[2], features_in, features_out};
  - DataType type = DT_FLOAT; // TODO(b/65408531): COMPLEX_64 support
  + DataType type = DT_FLOAT;
  return ExpectTfAndXlaOutputsAreClose(
  OpTestBuilder("Conv3D")
  .RandomInput(type, data)
  @@ -1482,7 +1489,7 @@ TEST_F(OpTest, Conv3DBackpropFilter) {
  Tensor kernel_shape = test::AsTensor<int32>(
  AsInt32s({d.kernel_dims[0], d.kernel_dims[1], d.kernel_dims[2],
  features_in, features_out}));
  - DataType type = DT_FLOAT; // TODO(b/65408531): COMPLEX_64 support
  + DataType type = DT_FLOAT;
  return ExpectTfAndXlaOutputsAreClose(
  OpTestBuilder("Conv3DBackpropFilterV2")
  .RandomInput(type, activations)
  