const char data[] = {1, 2, 3};
  const int64_t vec2_dims[] = {2};
  unique_tensor_ptr vec2_tensor(
      Int8Tensor(vec2_dims, TF_ARRAYSIZE(vec2_dims), data), TF_DeleteTensor);
  TF_Operation* vec2 = Const(vec2_tensor.get(), graph, status, "vec2");
  ASSERT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);

  const int64_t vec3_dims[] = {3};
  unique_tensor_ptr vec3_tensor(

  std::vector<string> output_names_vec;
  if (output_names) {
    output_names_vec.reserve(noutputs);
    for (int i = 0; i < noutputs; ++i) {
      output_names_vec.push_back(string(output_names[i]));
    }
  }

  // Process control output names.
  std::vector<string> control_output_names_vec;
  if (control_output_names) {
    control_output_names_vec.reserve(ncontrol_outputs);

      }
    }
  }

 private:
  // TODO(b/174778737): Only hold needed outputs.
  vector<AbstractTensorHandle*> forward_outputs_;
};

Status BroadcastMul(AbstractContext* ctx, AbstractTensorHandle* vec,
                    AbstractTensorHandle* mat,
                    absl::Span<AbstractTensorHandle*> outputs) {
  if (!isa<ImmediateExecutionContext>(ctx)) {
    // TODO(b/168850692): Fix this.

  }
  std::vector<tensorflow::CoordinatedTask> task_vec(tasks.length);
  auto* task_iter = static_cast<const tensorflow::CoordinatedTask*>(tasks.data);
  for (size_t i = 0; i < tasks.length; ++i) {
    task_vec[i].set_job_name(task_iter->job_name());
    task_vec[i].set_task_id(task_iter->task_id());
    ++task_iter;
  }
  auto results = coord_agent->GetTaskState(task_vec);
  if (!results.ok()) {

    const int64_t* dims) {
  if (num_dims != -1) {
    std::vector<tensorflow::shape_inference::DimensionHandle> dim_vec;
    dim_vec.reserve(num_dims);
    for (int i = 0; i < num_dims; ++i) {
      dim_vec.push_back(ic->MakeDim(dims[i]));
    }
    return ic->MakeShape(dim_vec);
  } else {
    return ic->UnknownShape();
  }
}

}  // namespace

1EC1          ; valid                                  # 1.1  LATIN SMALL LETTER E WITH CIRCUMFLEX AND GRAVE
1EC2          ; mapped                 ; 1EC3          # 1.1  LATIN CAPITAL LETTER E WITH CIRCUMFLEX AND HOOK ABOVE
1EC3          ; valid                                  # 1.1  LATIN SMALL LETTER E WITH CIRCUMFLEX AND HOOK ABOVE

    *   Allow sparse float splits to support multivalent feature columns.
    *   Add `quantile` to `tf.distributions.TransformedDistribution`.
    *   Add `NCHW_VECT_C` support for `tf.depth_to_space` on GPU.
    *   Add `NCHW_VECT_C` support for `tf.space_to_depth` on GPU.

## API Changes

*   Rename `SqueezeDims` attribute to `Axis` in C++ API for Squeeze op.