vendor: OpenCV 5.0.0 snapshot at 40738fb16ceddb5fb3fea747585f7ce6abb0605b

2026-08-22 00:10:33 +08:00
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+/*
+ * Compute the CRC32 using a parallelized folding approach with the PCLMULQDQ
+ * instruction.
+ *
+ * A white paper describing this algorithm can be found at:
+ *     doc/crc-pclmulqdq.pdf
+ *
+ * Copyright (C) 2013 Intel Corporation. All rights reserved.
+ * Copyright (C) 2016 Marian Beermann (support for initial value)
+ * Authors:
+ *     Wajdi Feghali   <wajdi.k.feghali@intel.com>
+ *     Jim Guilford    <james.guilford@intel.com>
+ *     Vinodh Gopal    <vinodh.gopal@intel.com>
+ *     Erdinc Ozturk   <erdinc.ozturk@intel.com>
+ *     Jim Kukunas     <james.t.kukunas@linux.intel.com>
+ *
+ * For conditions of distribution and use, see copyright notice in zlib.h
+ */
+
+#ifdef X86_PCLMULQDQ_CRC
+
+#define CRC32_FOLD_COPY  crc32_fold_pclmulqdq_copy
+#define CRC32_FOLD       crc32_fold_pclmulqdq
+#define CRC32_FOLD_RESET crc32_fold_pclmulqdq_reset
+#define CRC32_FOLD_FINAL crc32_fold_pclmulqdq_final
+#define CRC32            crc32_pclmulqdq
+
+#include "crc32_pclmulqdq_tpl.h"
+
+#endif