typedef unsigned char uint8_t;
	typedef unsigned short uint16_t;
	typedef unsigned int uint32_t;

	/* dce */

	typedef struct {
	    uint32_t time_low;
	    uint16_t time_mid;
	    uint16_t time_hi_and_version;
	    uint8_t clock_seq_hi_and_reserved;
	    uint8_t clock_seq_low;
	    uint8_t node[6];
	} uuid_t;

	/* win32 stuff */

	typedef struct {
		uint32_t type;
		uuid_t uuid;
	} policy_handle;

// Fills data with values [start,end) with given step size.
void Range(vector<int32_t>* data, int32_t start, int32_t end,
           int32_t step = 1) {
  for (int32_t i = start; i < end; i += step) {
    (*data)[i] = i;
  }
}

// Fills out_dims with the dimensions of the given tensor.
void GetDims(const TF_Tensor* t, int64_t* out_dims) {
  int num_dims = TF_NumDims(t);
  for (int i = 0; i < num_dims; i++) {

	int SamrConnect2([in,string,unique] wchar_t *system_name,
			[in] uint32_t access_mask,
			[out] policy_handle *handle);

	[op(0x3e)]
	int SamrConnect4([in,string,unique] wchar_t *system_name,
			[in] uint32_t unknown,
			[in] uint32_t access_mask,
			[out] policy_handle *handle);

	[op(0x07)]
	int SamrOpenDomain([in] policy_handle *handle,
			[in] uint32_t access_mask,
			[in] sid_t *sid,
			[out] policy_handle *domain_handle);

pkg syscall (freebsd-386), type Stat_t struct, Blksize uint32
pkg syscall (freebsd-386), type Stat_t struct, Dev uint32
pkg syscall (freebsd-386), type Stat_t struct, Gen uint32
pkg syscall (freebsd-386), type Stat_t struct, Ino uint32
pkg syscall (freebsd-386), type Stat_t struct, Lspare int32
pkg syscall (freebsd-386), type Stat_t struct, Nlink uint16
pkg syscall (freebsd-386), type Stat_t struct, Pad_cgo_0 [8]uint8

	typedef struct {
		[string] wchar_t *netname;
		int type;
		[string] wchar_t *remark;
		uint32_t permissions;
		uint32_t max_uses;
		uint32_t current_uses;
		[string] wchar_t *path;
		[string] wchar_t *password;
		uint32_t sd_size;
		[size_is(sd_size)] uint8_t *security_descriptor;
	} ShareInfo502;

	typedef struct {
		int count;
		[size_is(count)] ShareInfo502 *array;
	} ShareInfoCtr502;

    TF_Tensor* f_t = TFE_TensorHandleResolve(handle, s);
    ASSERT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s);

    memcpy(&result_data[0], TF_TensorData(f_t), TF_TensorByteSize(f_t));

    // Verify results for each output
    for (int j = 0; j < 4; j++) {
      ASSERT_EQ(result_data[j], expected_outputs[idx][j]);
    }

    TF_DeleteTensor(f_t);
  }

                                    size_t length) {
  forward_op_.attrs.Set(attr_name, StringPiece(data, length));
  return parent_op_->SetAttrString(attr_name, data, length);
}
Status TapeOperation::SetAttrInt(const char* attr_name, int64_t value) {
  forward_op_.attrs.Set(attr_name, static_cast<int64_t>(value));
  return parent_op_->SetAttrInt(attr_name, value);
}

  // Map from tensor ID to how many references still exist for this tensor in
  // the tape.
  std::unordered_map<int64_t, int64_t> tensor_usage_counts;

  // Maps from op ID to how many output tensors of this op still need to have
  // their gradients computed.
  std::unordered_map<int64_t, int64_t> op_missing_tensor;
};

// If `persistent_tape` is true, op_tape is not changed and none of the

  }
  // Calculate the block-aligned start and end of the read.
  size_t start = block_size_ * (offset / block_size_);
  size_t finish = block_size_ * ((offset + n) / block_size_);
  if (finish < offset + n) {
    finish += block_size_;
  }
  size_t total_bytes_transferred = 0;
  // Now iterate through the blocks, reading them one at a time.
  for (size_t pos = start; pos < finish; pos += block_size_) {

namespace {

std::vector<int64_t> TensorShapeAsVector(const tensorflow::TensorHandle& handle,
                                         tensorflow::Status* status) {
  std::vector<int64_t> shape;
  int rank = -1;
  *status = handle.NumDims(&rank);
  if (!status->ok()) {
    return shape;
  }
  shape.reserve(rank);
  for (int i = 0; i < rank; ++i) {
    int64_t dim;
    *status = handle.Dim(i, &dim);