v.Op = OpARM64MULW
		return true
	case OpMul32F:
		v.Op = OpARM64FMULS
		return true
	case OpMul64:
		v.Op = OpARM64MUL
		return true
	case OpMul64F:
		v.Op = OpARM64FMULD
		return true
	case OpMul8:
		v.Op = OpARM64MULW
		return true
	case OpNeg16:
		v.Op = OpARM64NEG
		return true
	case OpNeg32:
		v.Op = OpARM64NEG
		return true
	case OpNeg32F:
		v.Op = OpARM64FNEGS
		return true

  let summary = [{
Gradient op for `MirrorPad` op. This op folds a mirror-padded tensor.
  }];

  let description = [{
This operation folds the padded areas of `input` by `MirrorPad` according to the
`paddings` you specify. `paddings` must be the same as `paddings` argument
given to the corresponding `MirrorPad` op.

The folded size of each dimension D of the output is:

    *   Added 8-bit and 16-bit support for `floor_div` and `floor_mod`.
    *   Added 16-bit and 32-bit int support for the built-in op `bitcast`.
    *   Added 8-bit/16-bit/32-bit int/uint support for the built-in op `bitwise_xor`
    *   Added int16 indices support for built-in op `gather` and `gather_nd`.
    *   Added 8-bit/16-bit/32-bit int/uint support for the built-in op `right_shift`

      },
      "io.k8s.api.core.v1.PreferredSchedulingTerm": {
        "description": "An empty preferred scheduling term matches all objects with implicit weight 0 (i.e. it's a no-op). A null preferred scheduling term matches no objects (i.e. is also a no-op).",
        "properties": {
          "preference": {
            "allOf": [
              {
                "$ref": "#/components/schemas/io.k8s.api.core.v1.NodeSelectorTerm"

		enableVolumeAttributesClass bool
	}{
		"valid-update-volumeName-only": {
			isExpectedFailure: false,
			oldClaim:          validClaim,
			newClaim:          validUpdateClaim,
		},
		"valid-no-op-update": {
			isExpectedFailure: false,
			oldClaim:          validUpdateClaim,
			newClaim:          validUpdateClaim,
		},
		"invalid-update-change-resources-on-bound-claim": {
			isExpectedFailure: true,