VADDVX		X10, V2, V1, V3			// ERROR "invalid vector mask register"
	VADDVI		$15, V4, V1, V2			// ERROR "invalid vector mask register"
	VSUBVV		V1, V2, V4, V3			// ERROR "invalid vector mask register"
	VSUBVX		X10, V2, V1, V3			// ERROR "invalid vector mask register"
	VRSUBVX		X10, V2, V1, V3			// ERROR "invalid vector mask register"
	VRSUBVI		$15, V4, V1, V2			// ERROR "invalid vector mask register"

  background: currentColor;
  -webkit-mask-image: url("data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 24 24' fill='none' stroke='currentColor' stroke-width='2.5' stroke-linecap='round' stroke-linejoin='round'%3E%3Crect x='3' y='7' width='14' height='14' rx='2'/%3E%3Cpath d='M7 3h14v14'/%3E%3C/svg%3E");
  -webkit-mask-size: contain;
  -webkit-mask-repeat: no-repeat;

	}
	return riscv.SPOP_END
}

// RISCV64ValidateVectorType reports whether the given configuration is a
// valid vector type.
func RISCV64ValidateVectorType(vsew, vlmul, vtail, vmask int64) error {
	_, err := riscv.EncodeVectorType(vsew, vlmul, vtail, vmask)
	return err

            source[offset]);
      }

      @Override
      public void putLongLittleEndian(byte[] sink, int offset, long value) {
        long mask = 0xFFL;
        for (int i = 0; i < 8; mask <<= 8, i++) {
          sink[offset + i] = (byte) ((value & mask) >> (i * 8));
        }
      }

      @Override
      public boolean usesFastPath() {
        return false;
      }
    }
  }

   * <p>This must be a (2^n)-1 as it is used as a mask.
   */
  static final int DRAIN_THRESHOLD = 0x3F;

  /**
   * Maximum number of entries to be drained in a single cleanup run. This applies independently to
   * the cleanup queue and both reference queues.
   */
  // TODO(fry): empirically optimize this
  static final int DRAIN_MAX = 16;

  // Fields

  /**

   * <p>This must be a (2^n)-1 as it is used as a mask.
   */
  static final int DRAIN_THRESHOLD = 0x3F;

  /**
   * Maximum number of entries to be drained in a single cleanup run. This applies independently to
   * the cleanup queue and both reference queues.
   */
  // TODO(fry): empirically optimize this
  static final int DRAIN_MAX = 16;

  // Fields

  /**

   * of reads and delaying a lock acquisition until the threshold is crossed or a mutation occurs.
   *
   * <p>This must be a (2^n)-1 as it is used as a mask.
   */
  static final int DRAIN_THRESHOLD = 0x3F;

  /**
   * Maximum number of entries to be drained in a single cleanup run. This applies independently to
   * the cleanup queue and both reference queues.

   * of reads and delaying a lock acquisition until the threshold is crossed or a mutation occurs.
   *
   * <p>This must be a (2^n)-1 as it is used as a mask.
   */
  static final int DRAIN_THRESHOLD = 0x3F;

  /**
   * Maximum number of entries to be drained in a single cleanup run. This applies independently to
   * the cleanup queue and both reference queues.

	VFWREDOSUMVS	V1, V2, V3			// d79120ce
	VFWREDOSUMVS	V1, V2, V0, V3			// d79120cc
	VFWREDUSUMVS	V1, V2, V3			// d79120c6
	VFWREDUSUMVS	V1, V2, V0, V3			// d79120c4

	// 31.15: Vector Mask Instructions
	VMANDMM		V1, V2, V3			// d7a12066
	VMNANDMM	V1, V2, V3			// d7a12076
	VMANDNMM	V1, V2, V3			// d7a12062
	VMXORMM		V1, V2, V3			// d7a1206e
	VMORMM		V1, V2, V3			// d7a1206a

 * If you use masked losses with Keras the loss values may be different in TensorFlow `2.12` compared to previous versions.
 * In cases where the mask was previously ignored, you will now get an error if you pass a mask with an incompatible shape.

### Major Features and Improvements

`tf.keras`: