***NOTE***: Only original source code from you and other people that have signed the CLA can be accepted into the main repository.

### Contributing code

If you have improvements to TensorFlow, send us your pull requests! For those
just getting started, GitHub has a
[how-to](https://help.github.com/articles/using-pull-requests/).

TensorFlow team members will be assigned to review your pull requests. Once the

    requests:
      memory: 128Mi
  # Command to run after the main command on exit
  exitCommand: ""

## List of users to be created after minio install
##
users:
  ## Username, password and policy to be assigned to the user
  ## Default policies are [readonly|readwrite|writeonly|consoleAdmin|diagnostics]

import com.google.common.annotations.GwtCompatible;
import java.util.Arrays;
import java.util.Comparator;

/**
 * Static utility methods pertaining to {@code byte} primitives that interpret values as signed. The
 * corresponding methods that treat the values as unsigned are found in {@link UnsignedBytes}, and
 * the methods for which signedness is not an issue are in {@link Bytes}.
 *
 * <p>See the Guava User Guide article on <a

uint64      the set of all unsigned 64-bit integers (0 to 18446744073709551615)

int8        the set of all signed  8-bit integers (-128 to 127)
int16       the set of all signed 16-bit integers (-32768 to 32767)
int32       the set of all signed 32-bit integers (-2147483648 to 2147483647)
int64       the set of all signed 64-bit integers (-9223372036854775808 to 9223372036854775807)

    // lifecycles. The project builder needs to now what default plugin information needs to be
    // merged into POM being built. Once the POM builder has this plugin information, versions can be assigned
    // by the POM builder because they will have to be defined in plugin management. Once this is setComplete then it
    // can be passed back so that the default configuration information can be populated.
    //

## Description from docstring

As descriptions tend to be long and cover multiple lines, you can declare the *path operation* description in the function <abbr title="a multi-line string as the first expression inside a function (not assigned to any variable) used for documentation">docstring</abbr> and **FastAPI** will read it from there.

```

////

## 📛 ⚪️➡️ #️⃣

📛 😑 📏 &amp; 📔 💗 ⏸, 👆 💪 📣 *➡ 🛠️* 📛 🔢 <abbr title="a multi-line string as the first expression inside a function (not assigned to any variable) used for documentation"> #️⃣ </abbr> &amp; **FastAPI** 🔜 ✍ ⚫️ ⚪️➡️ 📤.

👆 💪 ✍ <a href="https://en.wikipedia.org/wiki/Markdown" class="external-link" target="_blank">✍</a> #️⃣ , ⚫️ 🔜 🔬 &amp; 🖥 ☑ (✊ 🔘 🏧 #️⃣ 📐).

  public static boolean isPowerOfTwo(long x) {
    return x > 0 & (x & (x - 1)) == 0;
  }

  /**
   * Returns 1 if {@code x < y} as unsigned longs, and 0 otherwise. Assumes that x - y fits into a
   * signed long. The implementation is branch-free, and benchmarks suggest it is measurably faster
   * than the straightforward ternary expression.
   */
  @VisibleForTesting
  static int lessThanBranchFree(long x, long y) {

	instructions["JGE"] = x86.AJGE  /* greater than or equal (signed) (SF = OF) */
	instructions["JGT"] = x86.AJGT  /* greater than (signed) (ZF = 0 && SF = OF) */
	instructions["JHI"] = x86.AJHI  /* higher (unsigned) (CF = 0 && ZF = 0) */
	instructions["JHS"] = x86.AJCC  /* alternate */
	instructions["JL"] = x86.AJLT   /* alternate */
	instructions["JLE"] = x86.AJLE  /* less than or equal (signed) (ZF = 1 || SF != OF) */

// a map (`tensorflow::eager::TensorTape`) from the wrapped tensor to the id of
// the op that produced it (or -1 if this tensor was watched using
// `GradientTape::Watch`.) The op_id is simply a unique index assigned to each
// op executed under the tape. A separate map (`tensorflow::eager::OpTape`)
// maintains the map from `op_id` to a `OpTapeEntry` which stores the `op_type`,