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);
    for (int i = 0; i < ncontrol_outputs; ++i) {

    // Note that we take the address of the elements in `all_input_tensors`
    // below. Allocate enough space so that no reallocation happens, which will
    // make the pointers invalid.
    all_input_tensors.reserve(num_inputs);
    for (int i = 0; i < num_inputs; ++i) {
      if (input_tensors[i] == nullptr) continue;
      all_input_tensors.emplace_back();
      Tensor& input_tensor = all_input_tensors.back();

pkg net/http, method (*ClientConn) Err() error #75772
pkg net/http, method (*ClientConn) InFlight() int #75772
pkg net/http, method (*ClientConn) Release() #75772
pkg net/http, method (*ClientConn) Reserve() error #75772
pkg net/http, method (*ClientConn) RoundTrip(*Request) (*Response, error) #75772
pkg net/http, method (*ClientConn) SetStateHook(func(*ClientConn)) #75772

    tensorflow::shape_inference::InferenceContext* ic, int num_dims,
    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();
  }
}

Here I'm also highlighting contributions from sponsors.

  return grads;
}

std::vector<string> GetFuncNames(const tensorflow::GraphDef& graph_def) {
  std::vector<string> names;
  auto functions = graph_def.library().function();
  names.reserve(functions.size());
  for (const tensorflow::FunctionDef& func : functions) {
    names.push_back(func.signature().name());
  }
  std::sort(names.begin(), names.end());
  return names;
}

    public static final int FILE_OPEN_REQUIRING_OPLOCK = 0x10000;
    /**
     * Any open of this file cannot be exclusive
     */
    public static final int FILE_DISALLOW_EXCLUSIVE = 0x20000;
    /**
     * Reserve an opportunistic lock filter on the open
     */
    public static final int FILE_RESERVE_OPFILTER = 0x100000;
    /**
     * Open a reparse point and bypass normal reparse point processing
     */

	POPCNTW R3, R4                  // 7c6402f4
	POPCNTD R3, R4                  // 7c6403f4

	PASTECC R3, R4                  // 7c23270d
	COPY R3, R4                     // 7c23260c

	// load-and-reserve
	LBAR (R4)(R3*1),$1,R5           // 7ca32069
	LBAR (R4)(R0),$1,R5             // 7ca02069
	LBAR (R4),$0,R5                 // 7ca02068
	LBAR (R3),R5                    // 7ca01868

    top-level class and `Credential` is replaced with a utility class called
    `Credentials`.

 *  **OkHttpClient.getFollowProtocolRedirects() renamed to
    getFollowSslRedirects()**. We reserve the word _protocol_ for the HTTP
    version being used (HTTP/1.1, HTTP/2). The old name of this method was
    misleading; it was always used to configure redirects between `https://` and
    `http://` schemes.

- kubelet now accepts `pid=<number>` in the `--system-reserved` and `--kube-reserved` options to ensure that the specified number of process IDs will be reserved for the system as a whole and for Kubernetes system daemons respectively.  Please reference `Kube Reserved` and `System Reserved` in `Reserve Compute Resources for System Daemons` in the Kubernetes documentation for general discussion of resource reservation.  To utilize...