conv.Init(p.PtrSize, p.IntSize)

	p.typedefs = map[string]bool{}
	p.typedefList = nil
	numTypedefs := -1
	for len(p.typedefs) > numTypedefs {
		numTypedefs = len(p.typedefs)
		// Also ask about any typedefs we've seen so far.
		for _, info := range p.typedefList {
			if f.Name[info.typedef] != nil {
				continue
			}
			n := &Name{
				Go: info.typedef,
				C:  info.typedef,
			}
			f.Name[info.typedef] = n

// invalidate old TF_Operation* pointers.
typedef struct TF_Operation TF_Operation;

// Represents a specific input of an operation.
typedef struct TF_Input {
  TF_Operation* oper;
  int index;  // The index of the input within oper.
} TF_Input;

// Represents a specific output of an operation.
typedef struct TF_Output {
  TF_Operation* oper;

namespace tensorflow {
namespace {

// Specification for expected input/output and its type.
// DataType value of DT_INVALID signifies that we don't want to
// check the data type.
typedef std::pair<string, DataType> IOSpec;

const char* kFeedStackToString = "File \"feed.cc\", line 10, in alpha";
const char* kNegStackToString = "File \"neg.cc\", line 15, in beta";

  {
    TF_Buffer* op_list_buffer = TF_GetAllOpList();
    tensorflow::OpList op_list;
    op_list.ParseFromArray(op_list_buffer->data, op_list_buffer->length);
    ASSERT_GE(op_list.op_size(), 1);
    typedef tensorflow::protobuf::RepeatedPtrField<tensorflow::OpDef> OpDefs;
    const OpDefs& ops = op_list.op();
    bool found = std::find_if(ops.begin(), ops.end(),
                              [](const tensorflow::OpDef& op_def) {

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