class_docstr: Implement SoftmaxWithBias on the gpu.
code: def make_node(self, x, b):
      ctx_name = infer_context_name(x, b)
      x = as_gpuarray_variable(x, ctx_name)
      b = as_gpuarray_variable(b, ctx_name)
      return Apply(self, [x, b], [x.type()])
  
imports: from __future__ import absolute_import, print_function, division
  import numpy
  from theano import Op, Apply
  from six import StringIO
  from .basic_ops import as_gpuarray_variable, GpuKernelBase, Kernel, gpuarray_helper_inc_dir, infer_context_name
  from .type import GpuArrayType
  from .fp16_help import work_dtype, load_w, write_w
label_desc: Use image node_id 1 for calling the GpuSoftmaxWithBias obj's underlying member method code with example usage: obj.make_node(x, b) and returns: Apply