* Hermetic CUDA support is added.

  Hermetic CUDA uses a specific downloadable version of CUDA instead of the user’s locally installed CUDA. Bazel will download CUDA, CUDNN and NCCL distributions, and then use CUDA libraries and tools as dependencies in various Bazel targets. This enables more reproducible builds for Google ML projects and supported CUDA versions.

    - Includes:
      - bazelbuild/bazel-toolchains@3.3.2
      - bazelbuild/rules_go@v0.22.7 ([#93088](https://github.com/kubernetes/kubernetes/pull/93088), [@justaugustus](https://github.com/justaugustus)) [SIG Release and Testing]
- Update Golang to v1.14.6
  - Update repo-infra to 0.0.8 (to support go1.14.6 and go1.13.14)
    - Includes:
      - bazelbuild/bazel-toolchains@3.4.0

    - Includes:
      - bazelbuild/bazel-toolchains@3.3.2
      - bazelbuild/rules_go@v0.22.7 ([#93088](https://github.com/kubernetes/kubernetes/pull/93088), [@justaugustus](https://github.com/justaugustus)) [SIG Release and Testing]
- Update Golang to v1.14.6
  - Update repo-infra to 0.0.8 (to support go1.14.6 and go1.13.14)
    - Includes:
      - bazelbuild/bazel-toolchains@3.4.0

		minDisks = er.setDriveCount - er.defaultParityCount
	}

	if minDisks == er.setDriveCount/2 {
		// when data and parity are same we must atleast
		// wait for response from 1 extra drive to avoid
		// split-brain.
		minDisks++
	}

	calcQuorum := func(metaArr []FileInfo, errs []error) (FileInfo, []FileInfo, []StorageAPI, time.Time, string, error) {

- Update Golang to v1.13.14
  - Update bazel to 2.2.0
  - Update repo-infra to 0.0.8 (to support go1.14.6 and go1.13.14)
    - Includes:
      - bazelbuild/bazel-toolchains@3.4.0

#include "tensorflow/core/platform/types.h"
#include "tensorflow/core/public/release_version.h"
#include "tensorflow/core/public/session.h"

// The implementation below is at the top level instead of the
// brain namespace because we are defining 'extern "C"' functions.
using tensorflow::AttrValueMap;
using tensorflow::DataType;
using tensorflow::ExtendSessionGraphHelper;
using tensorflow::FullTypeDef;
using tensorflow::Graph;

          "keywords": ["สวัสดี", "โลก", "ค้นหา"]
        },
        "turkish_stop": {
          "type":       "stop",

          "keywords": ["สวัสดี", "โลก", "ค้นหา"]
        },
        "turkish_stop": {
          "type":       "stop",

   * a bug in the class under test) but that we time out fairly promptly when the method is expected
   * to hang (possibly too quickly, but too-quick failures should be very unlikely, given that we
   * used to bail after 20ms during the expected-successful tests, and there we saw a failure rate
   * of ~1/5000, meaning that the other thread's get() call nearly always completes within 20ms if
   * it's going to complete at all).
   *

   * a bug in the class under test) but that we time out fairly promptly when the method is expected
   * to hang (possibly too quickly, but too-quick failures should be very unlikely, given that we
   * used to bail after 20ms during the expected-successful tests, and there we saw a failure rate
   * of ~1/5000, meaning that the other thread's get() call nearly always completes within 20ms if
   * it's going to complete at all).
   *