*
 * <blockquote><pre>
 *     smb1://storage15/public/foo.txt
 * </pre></blockquote>
 *
 * would reference the file <code>foo.txt</code> in the share
 * <code>public</code> on the server <code>storage15</code>. In addition
 * to referencing files and directories, jCIFS can also address servers,
 * and workgroups.
 * <p>
 * <strong><i>Important: all SMB URLs that represent

In addition, support for NVMe disks has been added to Kubernetes, and a service of type LoadBalancer can now be backed with an NLB instead of an ELB (alpha).

### Azure

 * <pre>
 *     smb://storage15/public/foo.txt
 * </pre>
 *
 * </blockquote>
 *
 * would reference the file <code>foo.txt</code> in the share
 * <code>public</code> on the server <code>storage15</code>. In addition
 * to referencing files and directories, jCIFS can also address servers,
 * and workgroups.
 * <p>
 * <strong><i>Important: all SMB URLs that represent

Node selectors (to constrain pods to schedule on a subset of nodes) now support
the operators {<code>In, NotIn, Exists, DoesNotExist, Gt, Lt</code>}  instead of just conjunction of exact match on node label values. In
addition, we’ve introduced a new “soft” kind of node selector that is just a
hint to the scheduler; the scheduler will try to satisfy these requests but it
does not guarantee they will be satisfied. Both the “hard” and “soft” variants

   */
  public static final MediaType MICROSOFT_WORD = createConstant(APPLICATION_TYPE, "msword");

  /**
   * Media type for <a
   * href="https://en.wikipedia.org/wiki/Dynamic_Adaptive_Streaming_over_HTTP">Dynamic Adaptive
   * Streaming over HTTP (DASH)</a>. This is <a
   * href="https://www.iana.org/assignments/media-types/application/dash+xml">registered</a> with
   * the IANA.
   *
   * @since 28.2
   */

# Select supported compute capabilities (supported graphics cards).
# This is the same as the official TensorFlow builds.
# See https://developer.nvidia.com/cuda-gpus#compute
# `compute_XY` enables PTX embedding in addition to SASS. PTX
# is forward compatible beyond the current compute capability major
# release while SASS is only forward compatible inside the current
# major release. Example: sm_80 kernels can run on sm_89 GPUs but

buf[0] |= y.Bytes()[{{.p}}ElementLength-1] & 1 buf = append(buf, x.Bytes()...) return buf } // Add sets q = p1 + p2, and returns q. The points may overlap. func (q *{{.P}}Point) Add(p1, p2 *{{.P}}Point) *{{.P}}Point { // Complete addition formula for a = -3 from "Complete addition formulas for // prime order elliptic curves" (https://eprint.iacr.org/2015/1060), §A.2. t0 := new({{.Element}}).Mul(p1.x, p2.x) // t0 := X1 * X2 t1 := new({{.Element}}).Mul(p1.y, p2.y) // t1 := Y1 * Y2 t2 := new({{.Element}}).Mul(p1.z,...

// encLength) of the encrypted object stream to decrypt it, and
// compute skipLen, the number of bytes to skip in the beginning of
// the encrypted range.
//
// In addition we also compute the object part number for where the
// requested range starts, along with the DARE sequence number within
// that part. For single part objects, the partStart will be 0.

buf[0] |= y.Bytes()[{{.p}}ElementLength-1] & 1 buf = append(buf, x.Bytes()...) return buf } // Add sets q = p1 + p2, and returns q. The points may overlap. func (q *{{.P}}Point) Add(p1, p2 *{{.P}}Point) *{{.P}}Point { // Complete addition formula for a = -3 from "Complete addition formulas for // prime order elliptic curves" (https://eprint.iacr.org/2015/1060), §A.2. t0 := new({{.Element}}).Mul(p1.x, p2.x) // t0 := X1 * X2 t1 := new({{.Element}}).Mul(p1.y, p2.y) // t1 := Y1 * Y2 t2 := new({{.Element}}).Mul(p1.z,...

        `strategy.scope()`.
*   `TensorRT`
    *   [TensorRT 6.0](https://developer.nvidia.com/tensorrt#tensorrt-whats-new)
        is now supported and enabled by default. This adds support for more
        TensorFlow ops including Conv3D, Conv3DBackpropInputV2, AvgPool3D,
        MaxPool3D, ResizeBilinear, and ResizeNearestNeighbor. In addition, the