}
	if strings.HasPrefix(s, "union_") {
		return "union " + s[len("union_"):]
	}
	if strings.HasPrefix(s, "enum_") {
		return "enum " + s[len("enum_"):]
	}
	if strings.HasPrefix(s, "sizeof_") {
		return "sizeof(" + cname(s[len("sizeof_"):]) + ")"
	}
	return s
}

// ProcessCgoDirectives processes the import C preamble:
//  1. discards all #cgo CFLAGS, LDFLAGS, nocallback and noescape directives,

pkg go/types, type SelectionKind int
pkg go/types, type Signature struct
pkg go/types, type Sizes interface { Alignof, Offsetsof, Sizeof }
pkg go/types, type Sizes interface, Alignof(Type) int64
pkg go/types, type Sizes interface, Offsetsof([]*Var) []int64
pkg go/types, type Sizes interface, Sizeof(Type) int64
pkg go/types, type Slice struct
pkg go/types, type StdSizes struct
pkg go/types, type StdSizes struct, MaxAlign int64

  DCHECK(num_dims >= 0) << "Number of dimensions cannot be negative!";
  shape.num_dims = num_dims;
  shape.dims = new int64_t[num_dims];
  memcpy(shape.dims, dims, sizeof(int64_t) * num_dims);
}

void TF_ShapeAndTypeListSetUnknownShape(TF_ShapeAndTypeList* shape_list,
                                        int index) {
  DCHECK(index >= 0 && index < shape_list->num_items);

  if (TF_GetCode(status) != TF_OK) return -1;

  int num_entries = childrens.size();
  *entries = static_cast<char**>(
      plugin_memory_allocate(num_entries * sizeof((*entries)[0])));
  for (int i = 0; i < num_entries; i++)
    (*entries)[i] = strdup(childrens[i].c_str());
  TF_SetStatus(status, TF_OK, "");
  return num_entries;
}

      TF_Tensor* out = csession.output_tensor(i);
      ASSERT_TRUE(out != nullptr);
      EXPECT_EQ(TF_INT32, TF_TensorType(out));
      EXPECT_EQ(0, TF_NumDims(out));  // scalar
      ASSERT_EQ(sizeof(int32_t), TF_TensorByteSize(out));
      int32_t* output_contents = static_cast<int32_t*>(TF_TensorData(out));
      EXPECT_EQ(expected_results[i], *output_contents);
    }
  }

a <a href="#Conversions">conversion</a> with a result that is a constant, or
the result value of some built-in functions such as
<code>min</code> or <code>max</code> applied to constant arguments,
<code>unsafe.Sizeof</code> applied to <a href="#Package_unsafe">certain values</a>,
<code>cap</code> or <code>len</code> applied to
<a href="#Length_and_capacity">some expressions</a>,

a <a href="#Constant_expressions">constant expression</a>,
a <a href="#Conversions">conversion</a> with a result that is a constant, or
the result value of some built-in functions such as
<code>unsafe.Sizeof</code> applied to any value,
<code>cap</code> or <code>len</code> applied to
<a href="#Length_and_capacity">some expressions</a>,
<code>real</code> and <code>imag</code> applied to a complex constant

  GraphImportGraphDefLocked(graph, def, options, &results, status);
  DCHECK_EQ(results.return_tensors.size(), num_return_outputs);
  memcpy(return_outputs, results.return_tensors.data(),
         num_return_outputs * sizeof(TF_Output));
}

void TF_GraphImportGraphDef(TF_Graph* graph, const TF_Buffer* graph_def,
                            const TF_ImportGraphDefOptions* options,
                            TF_Status* status) {

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AAGyU,EAAaC,EA1INruB,EAAKstB,EACnB7iB,EA0IF7G,EAAQnB,EAAKgiB,WAAW,GACxB6J,EAAS5L,GAAYjgB,GAGtB,KAAMjD,EAAQklB,gBAAsC,IAAlBjiB,EAAK9C,UAAoC,KAAlB8C,EAAK9C,UAC3DyB,EAAOiX,SAAU5V,IAMnB,IAHA4rB,EAAenJ,GAAQthB,GAGjBrD,EAAI,EAAGoZ,GAFbyU,EAAclJ,GAAQziB,IAEOf,OAAQnB,EAAIoZ,EAAGpZ,IAtJ5BP,EAuJLouB,EAAa7tB,GAvJH+sB,EAuJQe,EAAc9tB,QAtJzCkK,EAGc,WAHdA,EAAW6iB,EAAK7iB,SAAS5E,gBAGAue,GAAevY,KAAM7L,EAAID,MACrDutB,EAAKpZ,QAAUlU,EAAIkU,QAGK,UAAbzJ,GAAqC,aAAbA,IACnC6iB,EAAKnV,aAAenY,EAAImY,cAmJxB,GAAK+V,EACJ,GAA...