by such Contributor that are necessarily infringed by their
      Contribution(s) alone or by combination of their Contribution(s)
      with the Work to which such Contribution(s) was submitted. If You
      institute patent litigation against any entity (including a
      cross-claim or counterclaim in a lawsuit) alleging that the Work
      or a Contribution incorporated within the Work constitutes direct

      by such Contributor that are necessarily infringed by their
      Contribution(s) alone or by combination of their Contribution(s)
      with the Work to which such Contribution(s) was submitted. If You
      institute patent litigation against any entity (including a
      cross-claim or counterclaim in a lawsuit) alleging that the Work
      or a Contribution incorporated within the Work constitutes direct

comment thread to coordinate.

### Contribution guidelines and standards

Before sending your pull request for
[review](https://github.com/tensorflow/tensorflow/pulls),
make sure your changes are consistent with the guidelines and follow the
TensorFlow coding style.

#### General guidelines and philosophy for contribution

*   Include unit tests when you contribute new features, as they help to a)

If you are looking for good first issues, take a look at the list of [good first issues](https://github.com/gradle/gradle/labels/good%20first%20issue) that should be actionable and ready for a contribution.

### Security vulnerabilities

Do not report security vulnerabilities to the public issue tracker. Follow our [Security Vulnerability Disclosure Policy](https://github.com/gradle/gradle/security/policy).

> **Quick Tip**: New contributors to Gradle projects are encouraged to ask questions in the Slack `#community-support` channel.

---

### 🌱 **Contributing to Gradle**

- **Contribution Guide**: [Contribute](https://github.com/gradle/gradle/blob/master/CONTRIBUTING.md) to Gradle by submitting patches or pull requests for code or documentation improvements.

				}
			}
		}
		if objDeleted {
			// we return errIgnoreFileContrib to signal this function's
			// callers to skip this object's contribution towards
			// usage.
			return sizeSummary{}, errIgnoreFileContrib
		}
		return sizeS, nil
	}, scanMode, weSleep)
	if err != nil {
		return dataUsageInfo, err
	}

    *   XLA:GPU reductions are deterministic by default (reductions within
        `jit_compile=True` are now deterministic).
    *   XLA:GPU works with Horovod (OSS contribution by Trent Lo from NVidia)
    *   XLA:CPU and XLA:GPU can compile tf.unique and tf.where when shapes are
        provably correct at compile time.
*   `tf.saved_model.save`: