Developer Guide and Reference

  • 2022.1
  • 04/11/2022
  • Public Content
Contents

enum dnnl_format_tag_t

Overview

Memory format tag specification. More…
#include <dnnl_types.h> enum dnnl_format_tag_t { dnnl_format_tag_undef = 0, dnnl_format_tag_any, dnnl_a, dnnl_ab, dnnl_abc, dnnl_abcd, dnnl_acbd, dnnl_abcde, dnnl_abcdef, dnnl_abcdefg, dnnl_abcdefgh, dnnl_abcdefghi, dnnl_abcdefghij, dnnl_abcdefghijk, dnnl_abcdefghijkl, dnnl_abdc, dnnl_abdec, dnnl_acb, dnnl_acbde, dnnl_acbdef, dnnl_acdb, dnnl_acdeb, dnnl_ba, dnnl_bac, dnnl_bacd, dnnl_bacde, dnnl_bca, dnnl_bcda, dnnl_bcdea, dnnl_cba, dnnl_cdba, dnnl_dcab, dnnl_cdeba, dnnl_decab, dnnl_defcab, dnnl_abced, dnnl_abcdfe, dnnl_abcdegf, dnnl_abcdefhg, dnnl_abcdefgih, dnnl_abcdefghji, dnnl_abcdefghikj, dnnl_abcdefghijlk, dnnl_Abc16a, dnnl_ABc16a16b, dnnl_ABc32a32b, dnnl_ABc4a4b, dnnl_aBc16b, dnnl_ABc16b16a, dnnl_Abc4a, dnnl_aBc32b, dnnl_aBc4b, dnnl_ABc4b16a4b, dnnl_ABc2b8a4b, dnnl_ABc16b16a4b, dnnl_ABc16b16a2b, dnnl_ABc4b4a, dnnl_ABc8a16b2a, dnnl_ABc8a8b, dnnl_ABc8a4b, dnnl_aBc8b, dnnl_ABc8b16a2b, dnnl_BAc8a16b2a, dnnl_ABc8b8a, dnnl_Abcd16a, dnnl_Abcd8a, dnnl_ABcd16a16b, dnnl_Abcd32a, dnnl_ABcd32a32b, dnnl_aBcd16b, dnnl_ABcd16b16a, dnnl_aBCd16b16c, dnnl_aBCd16c16b, dnnl_Abcd4a, dnnl_aBcd32b, dnnl_aBcd4b, dnnl_ABcd4b16a4b, dnnl_ABcd16b16a4b, dnnl_ABcd16b16a2b, dnnl_ABcd4b4a, dnnl_ABcd4a4b, dnnl_aBCd2c4b2c, dnnl_aBCd4b8c2b, dnnl_aBCd4c16b4c, dnnl_aBCd2c8b4c, dnnl_aBCd16c16b4c, dnnl_aBCd16c16b2c, dnnl_aBCd4c4b, dnnl_aBCd4b4c, dnnl_ABcd8a16b2a, dnnl_ABcd2b8a4b, dnnl_ABcd8a8b, dnnl_ABcd8a4b, dnnl_aBcd8b, dnnl_aBCd4c8b2c, dnnl_ABcd8b16a2b, dnnl_aBCd8b16c2b, dnnl_BAcd8a16b2a, dnnl_ABcd8b8a, dnnl_aBCd8b8c, dnnl_aBCd8b4c, dnnl_aBCd8c16b2c, dnnl_ABcde8a16b2a, dnnl_aCBd8b16c2b, dnnl_aBCd8c8b, dnnl_Abcde16a, dnnl_Abcde32a, dnnl_ABcde16a16b, dnnl_BAcde8a16b2a, dnnl_aBCd2b4c2b, dnnl_ABcde4b16a4b, dnnl_ABcde2b8a4b, dnnl_aBcde16b, dnnl_ABcde16b16a, dnnl_aBCde16b16c, dnnl_aBCde16c16b, dnnl_aBCde2c8b4c, dnnl_Abcde4a, dnnl_aBcde32b, dnnl_aBcde4b, dnnl_ABcde4b4a, dnnl_ABcde4a4b, dnnl_aBCde4b4c, dnnl_aBCde2c4b2c, dnnl_aBCde4b8c2b, dnnl_aBCde4c16b4c, dnnl_aBCde16c16b4c, dnnl_aBCde16c16b2c, dnnl_aBCde4c4b, dnnl_Abcde8a, dnnl_ABcde8a8b, dnnl_ABcde8a4b, dnnl_BAcde16b16a, dnnl_aBcde8b, dnnl_ABcde8b16a2b, dnnl_aBCde8b16c2b, dnnl_aBCde4c8b2c, dnnl_aCBde8b16c2b, dnnl_ABcde8b8a, dnnl_ABcde32a32b, dnnl_aBCde8b8c, dnnl_aBCde8b4c, dnnl_ABc4a8b8a4b, dnnl_ABcd4a8b8a4b, dnnl_ABcde4a8b8a4b, dnnl_BAc4b8a8b4a, dnnl_BAcd4b8a8b4a, dnnl_BAcde4b8a8b4a, dnnl_ABcd2a8b8a2b, dnnl_aBCd4b8c8b4c, dnnl_aBCde4b8c8b4c, dnnl_aBCde2b8c8b2c, dnnl_aBCde8c16b2c, dnnl_aBCde8c8b, dnnl_aBCde2b4c2b, dnnl_aBcdef16b, dnnl_aBCdef16b16c, dnnl_aBCdef16c16b, dnnl_aBCdef4c16b4c, dnnl_aBCdef2c8b4c, dnnl_aBCdef4c8b2c, dnnl_aBCdef2b4c2b, dnnl_aBcdef4b, dnnl_aBCdef4c4b, dnnl_aBCdef4b4c, dnnl_aBCdef2c4b2c, dnnl_aBCdef4b8c2b, dnnl_aBCdef8b8c, dnnl_aBCdef8b4c, dnnl_aBCdef8c16b2c, dnnl_aBCdef4b8c8b4c, dnnl_aBCdef8b16c2b, dnnl_aCBdef8b16c2b, dnnl_aBCdef8c8b, dnnl_aBdc16b, dnnl_aBdC16b2c, dnnl_aBdC16b4c, dnnl_aBdc4b, dnnl_aBdc8b, dnnl_aBdec16b, dnnl_aBdeC16b2c, dnnl_aBdeC16b4c, dnnl_aBdec32b, dnnl_aBdec4b, dnnl_aBdec8b, dnnl_aBdefc16b, dnnl_aBdefC16b2c, dnnl_aCBdef16c16b, dnnl_aBdefc4b, dnnl_aBdefc8b, dnnl_Abcdef16a, dnnl_Abcdef32a, dnnl_aBedc16b, dnnl_Acb16a, dnnl_AcB16a2b, dnnl_AcB16a4b, dnnl_Acb4a, dnnl_Acb8a, dnnl_aCBd16b16c, dnnl_aCBd16c16b, dnnl_aCBde16b16c, dnnl_aCBde16c16b, dnnl_Acdb16a, dnnl_AcdB16a2b, dnnl_AcdB16a4b, dnnl_Acdb32a, dnnl_Acdb4a, dnnl_Acdb8a, dnnl_Acdeb16a, dnnl_AcdeB16a2b, dnnl_Acdeb4a, dnnl_Acdeb8a, dnnl_Adcb16a, dnnl_BAc16a16b, dnnl_BAc16b16a, dnnl_BAcd16a16b, dnnl_BAcd16b16a, dnnl_aCBd4c8b8c4b, dnnl_aCBde4c8b8c4b, dnnl_aCBdef4c8b8c4b, dnnl_BAcde16a16b, dnnl_aCBdef16b16c, dnnl_abdfce, dnnl_abdefc, dnnl_ABc16b32a, dnnl_ABc16b64a, dnnl_ABc4b32a4b, dnnl_ABc4b64a4b, dnnl_ABc8b32a2b, dnnl_ABc8b64a2b, dnnl_AB16b16a, dnnl_AB16b32a, dnnl_AB16b64a, dnnl_AB8b16a2b, dnnl_AB8b32a2b, dnnl_AB8b64a2b, dnnl_AB4b16a4b, dnnl_AB4b32a4b, dnnl_AB4b64a4b, dnnl_AB16b16a4b, dnnl_ABcd16b32a, dnnl_ABcd16b64a, dnnl_ABcd4b32a4b, dnnl_ABcd4b64a4b, dnnl_ABcd8b32a2b, dnnl_ABcd8b64a2b, dnnl_ABcde4b32a4b, dnnl_ABcde4b64a4b, dnnl_ABcde16b16a4b, dnnl_ABcde16b16a2b, dnnl_ABcde16b32a, dnnl_ABcde16b64a, dnnl_ABcde8b32a2b, dnnl_ABcde8b64a2b, dnnl_aBCdef16c16b4c, dnnl_aBCdef16c16b2c, dnnl_AB32a32b8a4b, dnnl_AB8a4b, dnnl_AB32a32b8a2b, dnnl_AB8a2b, dnnl_abDc32d, dnnl_abDC32d4c, dnnl_abdEc32e, dnnl_abdEC32e2c, dnnl_abdEC32e4c, dnnl_aBdefC16b4c, dnnl_AcdeB16a4b, dnnl_ABcd16a16b2a, dnnl_ABc16a16b2a, dnnl_aBCd16b16c2b, dnnl_aBCde16b16c2b, dnnl_Acb32a, dnnl_AcB32a2b, dnnl_AcB32a4b, dnnl_Acb48a, dnnl_AcB48a2b, dnnl_AcB48a4b, dnnl_Acb64a, dnnl_AcB64a2b, dnnl_AcB64a4b, dnnl_cBa2b, dnnl_cBa4b, dnnl_aBdc32b, dnnl_aBdC32b2c, dnnl_aBdC32b4c, dnnl_aBdc48b, dnnl_aBdC48b2c, dnnl_aBdC48b4c, dnnl_aBdc64b, dnnl_aBdC64b2c, dnnl_aBdC64b4c, dnnl_adcb, dnnl_adCb2c, dnnl_adCb4c, dnnl_AcdB32a2b, dnnl_AcdB32a4b, dnnl_Acdb48a, dnnl_AcdB48a2b, dnnl_AcdB48a4b, dnnl_Acdb64a, dnnl_AcdB64a2b, dnnl_AcdB64a4b, dnnl_cdBa2b, dnnl_cdBa4b, dnnl_aBdeC32b2c, dnnl_aBdeC32b4c, dnnl_aBdec48b, dnnl_aBdeC48b2c, dnnl_aBdeC48b4c, dnnl_aBdec64b, dnnl_aBdeC64b2c, dnnl_aBdeC64b4c, dnnl_adecb, dnnl_adeCb2c, dnnl_adeCb4c, dnnl_Acdeb32a, dnnl_AcdeB32a2b, dnnl_AcdeB32a4b, dnnl_Acdeb48a, dnnl_AcdeB48a2b, dnnl_AcdeB48a4b, dnnl_Acdeb64a, dnnl_AcdeB64a2b, dnnl_AcdeB64a4b, dnnl_cdeBa2b, dnnl_cdeBa4b, dnnl_aBdefc32b, dnnl_aBdefC32b2c, dnnl_aBdefC32b4c, dnnl_aBdefc48b, dnnl_aBdefC48b2c, dnnl_aBdefC48b4c, dnnl_aBdefc64b, dnnl_aBdefC64b2c, dnnl_aBdefC64b4c, dnnl_adefcb, dnnl_adefCb2c, dnnl_adefCb4c, dnnl_AB16b32a4b, dnnl_AB16b48a4b, dnnl_AB16b64a4b, dnnl_AB16b16a2b, dnnl_AB16b32a2b, dnnl_AB16b48a2b, dnnl_AB16b64a2b, dnnl_ABc16b32a4b, dnnl_ABc16b48a4b, dnnl_ABc16b64a4b, dnnl_ABc16b32a2b, dnnl_ABc16b48a2b, dnnl_ABc16b64a2b, dnnl_ABcd16b32a4b, dnnl_ABcd16b48a4b, dnnl_ABcd16b64a4b, dnnl_ABcd16b32a2b, dnnl_ABcd16b48a2b, dnnl_ABcd16b64a2b, dnnl_ABcde16b32a4b, dnnl_ABcde16b48a4b, dnnl_ABcde16b64a4b, dnnl_ABcde16b32a2b, dnnl_ABcde16b48a2b, dnnl_ABcde16b64a2b, dnnl_ABc32a16b, dnnl_ABcd32a16b, dnnl_ABcde32a16b, dnnl_AB48a16b, dnnl_AB48a32b, dnnl_ABc40a16b, dnnl_ABc40a32b, dnnl_aBC48b16c, dnnl_aBC48b32c, dnnl_ABcd40a16b, dnnl_ABcd40a32b, dnnl_abCd32c, dnnl_abdCe32c, dnnl_abdCE32c2e, dnnl_BA16a16b2a, dnnl_BA16a32b2a, dnnl_BA16a48b2a, dnnl_BA16a64b2a, dnnl_BA16a16b4a, dnnl_BA16a32b4a, dnnl_BA16a48b4a, dnnl_BA16a64b4a, dnnl_ABcd8a2b, dnnl_aBdeC16c16b2c, dnnl_aBdeC16c16b4c, dnnl_aBdefC16c16b2c, dnnl_AcB16b16a2b, dnnl_AcB16b16a4b, dnnl_AcdB16b16a2b, dnnl_AcdB16b16a4b, dnnl_AcdeB16b16a2b, dnnl_aBdefC16c16b4c, dnnl_AcdeB16b16a4b, dnnl_AcB16b32a2b, dnnl_AcB16b32a4b, dnnl_AcB16b48a2b, dnnl_AcB16b48a4b, dnnl_AcB16b64a2b, dnnl_AcB16b64a4b, dnnl_aBdC16c16b2c, dnnl_aBdC16c16b4c, dnnl_aBdC16c32b2c, dnnl_aBdC16c32b4c, dnnl_aBdC16c48b2c, dnnl_aBdC16c48b4c, dnnl_aBdC16c64b2c, dnnl_aBdC16c64b4c, dnnl_AcdB16b32a2b, dnnl_AcdB16b32a4b, dnnl_AcdB16b48a2b, dnnl_AcdB16b48a4b, dnnl_AcdB16b64a2b, dnnl_AcdB16b64a4b, dnnl_aBdeC16c32b2c, dnnl_aBdeC16c32b4c, dnnl_aBdeC16c48b2c, dnnl_aBdeC16c48b4c, dnnl_aBdeC16c64b2c, dnnl_aBdeC16c64b4c, dnnl_AcdeB16b32a2b, dnnl_AcdeB16b32a4b, dnnl_AcdeB16b48a2b, dnnl_AcdeB16b48a4b, dnnl_AcdeB16b64a2b, dnnl_AcdeB16b64a4b, dnnl_aBdefC16c32b2c, dnnl_aBdefC16c32b4c, dnnl_aBdefC16c48b2c, dnnl_aBdefC16c48b4c, dnnl_aBdefC16c64b2c, dnnl_aBdefC16c64b4c, dnnl_decbA16a, dnnl_ABc4a2b, dnnl_ABc8a2b, dnnl_aBCd8b2c, dnnl_ABcde4a2b, dnnl_ABcde8a2b, dnnl_ABcde40a16b, dnnl_ABcde40a32b, dnnl_aBCde8b2c, dnnl_ABcde4a8b8a2b, dnnl_ABcd4a8b8a2b, dnnl_ABc4a8b8a2b, dnnl_aBCdef4b8c8b2c, dnnl_aBCde4b8c8b2c, dnnl_aBCd4b8c8b2c, dnnl_BAcde4b8a8b2a, dnnl_BAcd4b8a8b2a, dnnl_BAc4b8a8b2a, dnnl_aCBdef4c8b8c2b, dnnl_aCBde4c8b8c2b, dnnl_aCBd4c8b8c2b, dnnl_aBCdef8b2c, dnnl_AB32a16b, dnnl_AB32a32b, dnnl_BA4b8a8b2a, dnnl_BA4b8a8b4a, dnnl_aBC32b16c, dnnl_aBC32b32c, dnnl_aCB4c8b8c2b, dnnl_aCB4c8b8c4b, dnnl_ABcd4a2b, dnnl_ABc2b8a16b4a, dnnl_ABcd2b8a16b4a, dnnl_ABcde2b8a16b4a, dnnl_ABc2a8b16a4b, dnnl_ABc2a8b16a2b, dnnl_ABc2b32a8b, dnnl_ABcd2a8b16a4b, dnnl_ABcd2a8b16a2b, dnnl_aCBd2c8b16c2b, dnnl_ABcd2b32a8b, dnnl_aBCd2c8b16c2b, dnnl_ABcde2a8b16a4b, dnnl_ABcde2a8b16a2b, dnnl_aCBde2c8b16c2b, dnnl_ABcde2b32a8b, dnnl_aBC2b8c16b2c, dnnl_aBCd2b8c16b2c, dnnl_aBCde2b8c16b2c, dnnl_aBCdef2b8c16b2c, dnnl_BAcde2b8a16b4a, dnnl_BAcd2b8a16b4a, dnnl_BAc2b8a16b4a, dnnl_BAcde2b8a16b2a, dnnl_BAcd2b8a16b2a, dnnl_BAc2b8a16b2a, dnnl_aBCde2c8b16c2b, dnnl_aBCdef2c8b16c2b, dnnl_aCBdef2c8b16c2b, dnnl_aBCd2b8c16b4c, dnnl_aBCde2b8c16b4c, dnnl_BA4b8a16b2a, dnnl_BA4b8a16b4a, dnnl_aCB4c8b16c2b, dnnl_aCB4c8b16c4b, dnnl_BA16a16b, dnnl_BA16a32b, dnnl_BA16a48b, dnnl_BA16a64b, dnnl_aCB16c2b, dnnl_aCB16c4b, dnnl_BA16b2a, dnnl_BA16b4a, dnnl_aBC16b16c, dnnl_aBC16b32c, dnnl_AB16a16b, dnnl_AB16a32b, dnnl_adbc, dnnl_ABcde16a16b2a, dnnl_aBCdef16b16c2b, dnnl_Acedb16a, dnnl_aBdfec16b, dnnl_format_tag_last, dnnl_x = dnnl_a, dnnl_nc = dnnl_ab, dnnl_cn = dnnl_ba, dnnl_tn = dnnl_ab, dnnl_nt = dnnl_ba, dnnl_ncw = dnnl_abc, dnnl_nwc = dnnl_acb, dnnl_nchw = dnnl_abcd, dnnl_nhwc = dnnl_acdb, dnnl_chwn = dnnl_bcda, dnnl_ncdhw = dnnl_abcde, dnnl_ndhwc = dnnl_acdeb, dnnl_oi = dnnl_ab, dnnl_io = dnnl_ba, dnnl_oiw = dnnl_abc, dnnl_owi = dnnl_acb, dnnl_wio = dnnl_cba, dnnl_iwo = dnnl_bca, dnnl_oihw = dnnl_abcd, dnnl_hwio = dnnl_cdba, dnnl_ohwi = dnnl_acdb, dnnl_ihwo = dnnl_bcda, dnnl_iohw = dnnl_bacd, dnnl_oidhw = dnnl_abcde, dnnl_iodhw = dnnl_bacde, dnnl_dhwio = dnnl_cdeba, dnnl_odhwi = dnnl_acdeb, dnnl_idhwo = dnnl_bcdea, dnnl_goiw = dnnl_abcd, dnnl_gowi = dnnl_abdc, dnnl_wigo = dnnl_dcab, dnnl_goihw = dnnl_abcde, dnnl_gohwi = dnnl_abdec, dnnl_hwigo = dnnl_decab, dnnl_giohw = dnnl_acbde, dnnl_goidhw = dnnl_abcdef, dnnl_godhwi = dnnl_abdefc, dnnl_giodhw = dnnl_acbdef, dnnl_dhwigo = dnnl_defcab, dnnl_tnc = dnnl_abc, dnnl_ntc = dnnl_bac, dnnl_ldnc = dnnl_abcd, dnnl_ldigo = dnnl_abcde, dnnl_ldgoi = dnnl_abdec, dnnl_ldio = dnnl_abcd, dnnl_ldoi = dnnl_abdc, dnnl_ldgo = dnnl_abcd, dnnl_ldOi32o = dnnl_abDc32d, dnnl_ldOI32o4i = dnnl_abDC32d4c, dnnl_ldIo32i = dnnl_abCd32c, dnnl_ldgOi32o = dnnl_abdEc32e, dnnl_ldgOI32o2i = dnnl_abdEC32e2c, dnnl_ldgOI32o4i = dnnl_abdEC32e4c, dnnl_ldgIo32i = dnnl_abdCe32c, dnnl_ldgIO32i2o = dnnl_abdCE32c2e, dnnl_nCdhw32c = dnnl_aBcde32b, dnnl_nCdhw16c = dnnl_aBcde16b, dnnl_nCdhw4c = dnnl_aBcde4b, dnnl_nCdhw8c = dnnl_aBcde8b, dnnl_nChw32c = dnnl_aBcd32b, dnnl_nChw16c = dnnl_aBcd16b, dnnl_nChw4c = dnnl_aBcd4b, dnnl_nChw8c = dnnl_aBcd8b, dnnl_nCw32c = dnnl_aBc32b, dnnl_nCw16c = dnnl_aBc16b, dnnl_nCw4c = dnnl_aBc4b, dnnl_nCw8c = dnnl_aBc8b, dnnl_NCw16n16c = dnnl_ABc16a16b, dnnl_NCdhw16n16c = dnnl_ABcde16a16b, dnnl_NChw16n16c = dnnl_ABcd16a16b, dnnl_NCw32n16c = dnnl_ABc32a16b, dnnl_NChw32n16c = dnnl_ABcd32a16b, dnnl_NCdhw32n16c = dnnl_ABcde32a16b, dnnl_NCw32n32c = dnnl_ABc32a32b, dnnl_NChw32n32c = dnnl_ABcd32a32b, dnnl_NCdhw32n32c = dnnl_ABcde32a32b, dnnl_OI16i16o = dnnl_AB16b16a, dnnl_OI16i32o = dnnl_AB16b32a, dnnl_OI16i64o = dnnl_AB16b64a, dnnl_OI8i16o2i = dnnl_AB8b16a2b, dnnl_OI8i32o2i = dnnl_AB8b32a2b, dnnl_OI8i64o2i = dnnl_AB8b64a2b, dnnl_OI4i16o4i = dnnl_AB4b16a4b, dnnl_OI4i32o4i = dnnl_AB4b32a4b, dnnl_OI4i64o4i = dnnl_AB4b64a4b, dnnl_OI16i16o4i = dnnl_AB16b16a4b, dnnl_IOw16o16i = dnnl_BAc16a16b, dnnl_IOw16i16o = dnnl_BAc16b16a, dnnl_OIw16i16o = dnnl_ABc16b16a, dnnl_OIw16i32o = dnnl_ABc16b32a, dnnl_OIw16i64o = dnnl_ABc16b64a, dnnl_OIw16o16i = dnnl_ABc16a16b, dnnl_Oiw16o = dnnl_Abc16a, dnnl_OIw4i16o4i = dnnl_ABc4b16a4b, dnnl_OIw4i32o4i = dnnl_ABc4b32a4b, dnnl_OIw4i64o4i = dnnl_ABc4b64a4b, dnnl_OIw2i8o4i = dnnl_ABc2b8a4b, dnnl_OIw16i16o4i = dnnl_ABc16b16a4b, dnnl_OIw16i16o2i = dnnl_ABc16b16a2b, dnnl_OIw16o16i2o = dnnl_ABc16a16b2a, dnnl_OIw4i4o = dnnl_ABc4b4a, dnnl_OIw4o4i = dnnl_ABc4a4b, dnnl_Oiw4o = dnnl_Abc4a, dnnl_OIw8i16o2i = dnnl_ABc8b16a2b, dnnl_OIw8i32o2i = dnnl_ABc8b32a2b, dnnl_OIw8i64o2i = dnnl_ABc8b64a2b, dnnl_OIw8i8o = dnnl_ABc8b8a, dnnl_OIw8o16i2o = dnnl_ABc8a16b2a, dnnl_IOw8o16i2o = dnnl_BAc8a16b2a, dnnl_OIw8o8i = dnnl_ABc8a8b, dnnl_OIw8o4i = dnnl_ABc8a4b, dnnl_Owi16o = dnnl_Acb16a, dnnl_OwI16o2i = dnnl_AcB16a2b, dnnl_OwI16o4i = dnnl_AcB16a4b, dnnl_Owi4o = dnnl_Acb4a, dnnl_Owi8o = dnnl_Acb8a, dnnl_IOhw16i16o = dnnl_BAcd16b16a, dnnl_IOhw16o16i = dnnl_BAcd16a16b, dnnl_Ohwi16o = dnnl_Acdb16a, dnnl_OhwI16o2i = dnnl_AcdB16a2b, dnnl_OhwI16o4i = dnnl_AcdB16a4b, dnnl_Ohwi32o = dnnl_Acdb32a, dnnl_Ohwi4o = dnnl_Acdb4a, dnnl_Ohwi8o = dnnl_Acdb8a, dnnl_OIhw16i16o = dnnl_ABcd16b16a, dnnl_OIhw16i32o = dnnl_ABcd16b32a, dnnl_OIhw16i64o = dnnl_ABcd16b64a, dnnl_OIhw16o16i = dnnl_ABcd16a16b, dnnl_Oihw16o = dnnl_Abcd16a, dnnl_OIhw4i16o4i = dnnl_ABcd4b16a4b, dnnl_OIhw4i32o4i = dnnl_ABcd4b32a4b, dnnl_OIhw4i64o4i = dnnl_ABcd4b64a4b, dnnl_OIhw16i16o4i = dnnl_ABcd16b16a4b, dnnl_OIhw16i16o2i = dnnl_ABcd16b16a2b, dnnl_OIhw16o16i2o = dnnl_ABcd16a16b2a, dnnl_OIhw4i4o = dnnl_ABcd4b4a, dnnl_OIhw4o4i = dnnl_ABcd4a4b, dnnl_Oihw4o = dnnl_Abcd4a, dnnl_OIhw8i16o2i = dnnl_ABcd8b16a2b, dnnl_OIhw8i32o2i = dnnl_ABcd8b32a2b, dnnl_OIhw8i64o2i = dnnl_ABcd8b64a2b, dnnl_OIhw8i8o = dnnl_ABcd8b8a, dnnl_OIhw8o16i2o = dnnl_ABcd8a16b2a, dnnl_OIhw2i8o4i = dnnl_ABcd2b8a4b, dnnl_IOhw8o16i2o = dnnl_BAcd8a16b2a, dnnl_OIhw8o8i = dnnl_ABcd8a8b, dnnl_OIhw8o4i = dnnl_ABcd8a4b, dnnl_Owhi16o = dnnl_Adcb16a, dnnl_Odhwi16o = dnnl_Acdeb16a, dnnl_OdhwI16o2i = dnnl_AcdeB16a2b, dnnl_OdhwI16o4i = dnnl_AcdeB16a4b, dnnl_Odhwi4o = dnnl_Acdeb4a, dnnl_Odhwi8o = dnnl_Acdeb8a, dnnl_Odwhi16o = dnnl_Acedb16a, dnnl_OIdhw16i16o = dnnl_ABcde16b16a, dnnl_OIdhw16i32o = dnnl_ABcde16b32a, dnnl_OIdhw16i64o = dnnl_ABcde16b64a, dnnl_OIdhw16o16i = dnnl_ABcde16a16b, dnnl_Oidhw16o = dnnl_Abcde16a, dnnl_OIdhw4i4o = dnnl_ABcde4b4a, dnnl_OIdhw4o4i = dnnl_ABcde4a4b, dnnl_Oidhw4o = dnnl_Abcde4a, dnnl_OIdhw8i16o2i = dnnl_ABcde8b16a2b, dnnl_OIdhw8i32o2i = dnnl_ABcde8b32a2b, dnnl_OIdhw8i64o2i = dnnl_ABcde8b64a2b, dnnl_OIdhw8i8o = dnnl_ABcde8b8a, dnnl_OIdhw8o16i2o = dnnl_ABcde8a16b2a, dnnl_IOdhw8o16i2o = dnnl_BAcde8a16b2a, dnnl_OIdhw4i16o4i = dnnl_ABcde4b16a4b, dnnl_OIdhw4i32o4i = dnnl_ABcde4b32a4b, dnnl_OIdhw4i64o4i = dnnl_ABcde4b64a4b, dnnl_OIdhw16i16o4i = dnnl_ABcde16b16a4b, dnnl_OIdhw16i16o2i = dnnl_ABcde16b16a2b, dnnl_OIdhw2i8o4i = dnnl_ABcde2b8a4b, dnnl_OIdhw8o8i = dnnl_ABcde8a8b, dnnl_OIdhw8o4i = dnnl_ABcde8a4b, dnnl_IOdhw16i16o = dnnl_BAcde16b16a, dnnl_OIdhw4o8i8o4i = dnnl_ABcde4a8b8a4b, dnnl_IOdhw16o16i = dnnl_BAcde16a16b, dnnl_OIdhw16o16i2o = dnnl_ABcde16a16b2a, dnnl_Goiw16g = dnnl_Abcd16a, dnnl_Goiw8g = dnnl_Abcd8a, dnnl_Goiw4g = dnnl_Abcd4a, dnnl_gIOw16o16i = dnnl_aCBd16b16c, dnnl_gIOw16i16o = dnnl_aCBd16c16b, dnnl_gOIw16i16o = dnnl_aBCd16c16b, dnnl_gOIw16o16i = dnnl_aBCd16b16c, dnnl_gOiw16o = dnnl_aBcd16b, dnnl_gOIw4i16o4i = dnnl_aBCd4c16b4c, dnnl_gOIw2i8o4i = dnnl_aBCd2c8b4c, dnnl_gOIw16i16o4i = dnnl_aBCd16c16b4c, dnnl_gOIw16i16o2i = dnnl_aBCd16c16b2c, dnnl_gOIw16o16i2o = dnnl_aBCd16b16c2b, dnnl_gOIw4i4o = dnnl_aBCd4c4b, dnnl_gOIw4o4i = dnnl_aBCd4b4c, dnnl_gOiw4o = dnnl_aBcd4b, dnnl_gOIw8i16o2i = dnnl_aBCd8c16b2c, dnnl_gOIw8i8o = dnnl_aBCd8c8b, dnnl_gOIw8o16i2o = dnnl_aBCd8b16c2b, dnnl_gIOw8o16i2o = dnnl_aCBd8b16c2b, dnnl_gOIw8o8i = dnnl_aBCd8b8c, dnnl_gOIw8o4i = dnnl_aBCd8b4c, dnnl_gOwi16o = dnnl_aBdc16b, dnnl_gOwI16o2i = dnnl_aBdC16b2c, dnnl_gOwI16o4i = dnnl_aBdC16b4c, dnnl_gOwi4o = dnnl_aBdc4b, dnnl_gOwi8o = dnnl_aBdc8b, dnnl_Goiw32g = dnnl_Abcd32a, dnnl_gOIw2i4o2i = dnnl_aBCd2c4b2c, dnnl_gOIw2o4i2o = dnnl_aBCd2b4c2b, dnnl_gOIw4i8o2i = dnnl_aBCd4c8b2c, dnnl_gOIw4o8i2o = dnnl_aBCd4b8c2b, dnnl_gIOhw16i16o = dnnl_aCBde16c16b, dnnl_gIOhw16o16i = dnnl_aCBde16b16c, dnnl_gOhwi16o = dnnl_aBdec16b, dnnl_gOhwI16o2i = dnnl_aBdeC16b2c, dnnl_gOhwI16o4i = dnnl_aBdeC16b4c, dnnl_gOhwi32o = dnnl_aBdec32b, dnnl_gOhwi4o = dnnl_aBdec4b, dnnl_gOhwi8o = dnnl_aBdec8b, dnnl_Goihw16g = dnnl_Abcde16a, dnnl_gOIhw16i16o = dnnl_aBCde16c16b, dnnl_gOIhw16o16i = dnnl_aBCde16b16c, dnnl_gOihw16o = dnnl_aBcde16b, dnnl_gOIhw2i8o4i = dnnl_aBCde2c8b4c, dnnl_gOIhw4i16o4i = dnnl_aBCde4c16b4c, dnnl_gOIhw16i16o4i = dnnl_aBCde16c16b4c, dnnl_gOIhw16i16o2i = dnnl_aBCde16c16b2c, dnnl_gOIhw16o16i2o = dnnl_aBCde16b16c2b, dnnl_gOIhw4i4o = dnnl_aBCde4c4b, dnnl_gOIhw4o4i = dnnl_aBCde4b4c, dnnl_gOihw4o = dnnl_aBcde4b, dnnl_Goihw8g = dnnl_Abcde8a, dnnl_Goihw4g = dnnl_Abcde4a, dnnl_gOIhw8i16o2i = dnnl_aBCde8c16b2c, dnnl_gOIhw8i8o = dnnl_aBCde8c8b, dnnl_gOIhw8o16i2o = dnnl_aBCde8b16c2b, dnnl_gIOhw8o16i2o = dnnl_aCBde8b16c2b, dnnl_gOIhw8o8i = dnnl_aBCde8b8c, dnnl_gOIhw8o4i = dnnl_aBCde8b4c, dnnl_Goihw32g = dnnl_Abcde32a, dnnl_gOwhi16o = dnnl_aBedc16b, dnnl_OIw4o8i8o4i = dnnl_ABc4a8b8a4b, dnnl_OIhw4o8i8o4i = dnnl_ABcd4a8b8a4b, dnnl_IOw4i8o8i4o = dnnl_BAc4b8a8b4a, dnnl_IOhw4i8o8i4o = dnnl_BAcd4b8a8b4a, dnnl_IOdhw4i8o8i4o = dnnl_BAcde4b8a8b4a, dnnl_OIhw2o8i8o2i = dnnl_ABcd2a8b8a2b, dnnl_gOIw4o8i8o4i = dnnl_aBCd4b8c8b4c, dnnl_gOIhw4o8i8o4i = dnnl_aBCde4b8c8b4c, dnnl_gOIdhw4o8i8o4i = dnnl_aBCdef4b8c8b4c, dnnl_gIOw4i8o8i4o = dnnl_aCBd4c8b8c4b, dnnl_gIOhw4i8o8i4o = dnnl_aCBde4c8b8c4b, dnnl_gIOdhw4i8o8i4o = dnnl_aCBdef4c8b8c4b, dnnl_gOIhw2o8i8o2i = dnnl_aBCde2b8c8b2c, dnnl_gOIhw2i4o2i = dnnl_aBCde2c4b2c, dnnl_gOIhw2o4i2o = dnnl_aBCde2b4c2b, dnnl_gOIhw4i8o2i = dnnl_aBCde4c8b2c, dnnl_gOIhw4o8i2o = dnnl_aBCde4b8c2b, dnnl_gIOdhw16i16o = dnnl_aCBdef16c16b, dnnl_gIOdhw16o16i = dnnl_aCBdef16b16c, dnnl_gOdhwi16o = dnnl_aBdefc16b, dnnl_gOdhwI16o2i = dnnl_aBdefC16b2c, dnnl_gOdhwI16o4i = dnnl_aBdefC16b4c, dnnl_gOdhwi4o = dnnl_aBdefc4b, dnnl_gOdhwi8o = dnnl_aBdefc8b, dnnl_gOdwhi16o = dnnl_aBdfec16b, dnnl_gOIdhw16i16o = dnnl_aBCdef16c16b, dnnl_gOIdhw4i16o4i = dnnl_aBCdef4c16b4c, dnnl_gOIdhw16i16o4i = dnnl_aBCdef16c16b4c, dnnl_gOIdhw2i8o4i = dnnl_aBCdef2c8b4c, dnnl_gOIdhw16i16o2i = dnnl_aBCdef16c16b2c, dnnl_gOIdhw16o16i = dnnl_aBCdef16b16c, dnnl_gOIdhw16o16i2o = dnnl_aBCdef16b16c2b, dnnl_gOidhw16o = dnnl_aBcdef16b, dnnl_gOIdhw4i4o = dnnl_aBCdef4c4b, dnnl_gOIdhw4o4i = dnnl_aBCdef4b4c, dnnl_gOidhw4o = dnnl_aBcdef4b, dnnl_gOIdhw8i16o2i = dnnl_aBCdef8c16b2c, dnnl_gOIdhw8i8o = dnnl_aBCdef8c8b, dnnl_gOIdhw8o16i2o = dnnl_aBCdef8b16c2b, dnnl_gIOdhw8o16i2o = dnnl_aCBdef8b16c2b, dnnl_gOIdhw8o8i = dnnl_aBCdef8b8c, dnnl_gOIdhw8o4i = dnnl_aBCdef8b4c, dnnl_Goidhw16g = dnnl_Abcdef16a, dnnl_Goidhw32g = dnnl_Abcdef32a, dnnl_gOIdhw2i4o2i = dnnl_aBCdef2c4b2c, dnnl_gOIdhw4i8o2i = dnnl_aBCdef4c8b2c, dnnl_gOIdhw2o4i2o = dnnl_aBCdef2b4c2b, dnnl_gOIdhw4o8i2o = dnnl_aBCdef4b8c2b, dnnl_Owi32o = dnnl_Acb32a, dnnl_OwI32o2i = dnnl_AcB32a2b, dnnl_OwI32o4i = dnnl_AcB32a4b, dnnl_Owi48o = dnnl_Acb48a, dnnl_OwI48o2i = dnnl_AcB48a2b, dnnl_OwI48o4i = dnnl_AcB48a4b, dnnl_Owi64o = dnnl_Acb64a, dnnl_OwI64o2i = dnnl_AcB64a2b, dnnl_OwI64o4i = dnnl_AcB64a4b, dnnl_wIo2i = dnnl_cBa2b, dnnl_wIo4i = dnnl_cBa4b, dnnl_gOwi32o = dnnl_aBdc32b, dnnl_gOwI32o2i = dnnl_aBdC32b2c, dnnl_gOwI32o4i = dnnl_aBdC32b4c, dnnl_gOwi48o = dnnl_aBdc48b, dnnl_gOwI48o2i = dnnl_aBdC48b2c, dnnl_gOwI48o4i = dnnl_aBdC48b4c, dnnl_gOwi64o = dnnl_aBdc64b, dnnl_gOwI64o2i = dnnl_aBdC64b2c, dnnl_gOwI64o4i = dnnl_aBdC64b4c, dnnl_gwio = dnnl_adcb, dnnl_gwIo2i = dnnl_adCb2c, dnnl_gwIo4i = dnnl_adCb4c, dnnl_OhwI32o = dnnl_Acdb32a, dnnl_OhwI32o2i = dnnl_AcdB32a2b, dnnl_OhwI32o4i = dnnl_AcdB32a4b, dnnl_Ohwi48o = dnnl_Acdb48a, dnnl_OhwI48o2i = dnnl_AcdB48a2b, dnnl_OhwI48o4i = dnnl_AcdB48a4b, dnnl_Ohwi64o = dnnl_Acdb64a, dnnl_OhwI64o2i = dnnl_AcdB64a2b, dnnl_OhwI64o4i = dnnl_AcdB64a4b, dnnl_hwIo2i = dnnl_cdBa2b, dnnl_hwIo4i = dnnl_cdBa4b, dnnl_gOhwI32o = dnnl_aBdec32b, dnnl_gOhwI32o2i = dnnl_aBdeC32b2c, dnnl_gOhwI32o4i = dnnl_aBdeC32b4c, dnnl_gOhwi48o = dnnl_aBdec48b, dnnl_gOhwI48o2i = dnnl_aBdeC48b2c, dnnl_gOhwI48o4i = dnnl_aBdeC48b4c, dnnl_gOhwi64o = dnnl_aBdec64b, dnnl_gOhwI64o2i = dnnl_aBdeC64b2c, dnnl_gOhwI64o4i = dnnl_aBdeC64b4c, dnnl_ghwio = dnnl_adecb, dnnl_ghwIo2i = dnnl_adeCb2c, dnnl_ghwIo4i = dnnl_adeCb4c, dnnl_Odhwi32o = dnnl_Acdeb32a, dnnl_OdhwI32o2i = dnnl_AcdeB32a2b, dnnl_OdhwI32o4i = dnnl_AcdeB32a4b, dnnl_Odhwi48o = dnnl_Acdeb48a, dnnl_OdhwI48o2i = dnnl_AcdeB48a2b, dnnl_OdhwI48o4i = dnnl_AcdeB48a4b, dnnl_Odhwi64o = dnnl_Acdeb64a, dnnl_OdhwI64o2i = dnnl_AcdeB64a2b, dnnl_OdhwI64o4i = dnnl_AcdeB64a4b, dnnl_dhwIo2i = dnnl_cdeBa2b, dnnl_dhwIo4i = dnnl_cdeBa4b, dnnl_gOdhwi32o = dnnl_aBdefc32b, dnnl_gOdhwI32o2i = dnnl_aBdefC32b2c, dnnl_gOdhwI32o4i = dnnl_aBdefC32b4c, dnnl_gOdhwi48o = dnnl_aBdefc48b, dnnl_gOdhwI48o2i = dnnl_aBdefC48b2c, dnnl_gOdhwI48o4i = dnnl_aBdefC48b4c, dnnl_gOdhwi64o = dnnl_aBdefc64b, dnnl_gOdhwI64o2i = dnnl_aBdefC64b2c, dnnl_gOdhwI64o4i = dnnl_aBdefC64b4c, dnnl_gdhwio = dnnl_adefcb, dnnl_gdhwIo2i = dnnl_adefCb2c, dnnl_gdhwIo4i = dnnl_adefCb4c, dnnl_OI16i32o4i = dnnl_AB16b32a4b, dnnl_OI16i48o4i = dnnl_AB16b48a4b, dnnl_OI16i64o4i = dnnl_AB16b64a4b, dnnl_OI16i16o2i = dnnl_AB16b16a2b, dnnl_OI16i32o2i = dnnl_AB16b32a2b, dnnl_OI16i48o2i = dnnl_AB16b48a2b, dnnl_OI16i64o2i = dnnl_AB16b64a2b, dnnl_OIw16i32o4i = dnnl_ABc16b32a4b, dnnl_OIw16i48o4i = dnnl_ABc16b48a4b, dnnl_OIw16i64o4i = dnnl_ABc16b64a4b, dnnl_OIw16i32o2i = dnnl_ABc16b32a2b, dnnl_OIw16i48o2i = dnnl_ABc16b48a2b, dnnl_OIw16i64o2i = dnnl_ABc16b64a2b, dnnl_OIhw16i32o4i = dnnl_ABcd16b32a4b, dnnl_OIhw16i48o4i = dnnl_ABcd16b48a4b, dnnl_OIhw16i64o4i = dnnl_ABcd16b64a4b, dnnl_OIhw16i32o2i = dnnl_ABcd16b32a2b, dnnl_OIhw16i48o2i = dnnl_ABcd16b48a2b, dnnl_OIhw16i64o2i = dnnl_ABcd16b64a2b, dnnl_OIdhw16i32o4i = dnnl_ABcde16b32a4b, dnnl_OIdhw16i48o4i = dnnl_ABcde16b48a4b, dnnl_OIdhw16i64o4i = dnnl_ABcde16b64a4b, dnnl_OIdhw16i32o2i = dnnl_ABcde16b32a2b, dnnl_OIdhw16i48o2i = dnnl_ABcde16b48a2b, dnnl_OIdhw16i64o2i = dnnl_ABcde16b64a2b, dnnl_OwI16i16o2i = dnnl_AcB16b16a2b, dnnl_OwI16i16o4i = dnnl_AcB16b16a4b, dnnl_OhwI16i16o2i = dnnl_AcdB16b16a2b, dnnl_OhwI16i16o4i = dnnl_AcdB16b16a4b, dnnl_OdhwI16i16o2i = dnnl_AcdeB16b16a2b, dnnl_OdhwI16i16o4i = dnnl_AcdeB16b16a4b, dnnl_gOwI16i16o2i = dnnl_aBdC16c16b2c, dnnl_gOwI16i16o4i = dnnl_aBdC16c16b4c, dnnl_gOhwI16i16o2i = dnnl_aBdeC16c16b2c, dnnl_gOhwI16i16o4i = dnnl_aBdeC16c16b4c, dnnl_gOdhwI16i16o2i = dnnl_aBdefC16c16b2c, dnnl_gOdhwI16i16o4i = dnnl_aBdefC16c16b4c, dnnl_OwI16i32o2i = dnnl_AcB16b32a2b, dnnl_OwI16i32o4i = dnnl_AcB16b32a4b, dnnl_OwI16i48o2i = dnnl_AcB16b48a2b, dnnl_OwI16i48o4i = dnnl_AcB16b48a4b, dnnl_OwI16i64o2i = dnnl_AcB16b64a2b, dnnl_OwI16i64o4i = dnnl_AcB16b64a4b, dnnl_gOwI16i32o2i = dnnl_aBdC16c32b2c, dnnl_gOwI16i32o4i = dnnl_aBdC16c32b4c, dnnl_gOwI16i48o2i = dnnl_aBdC16c48b2c, dnnl_gOwI16i48o4i = dnnl_aBdC16c48b4c, dnnl_gOwI16i64o2i = dnnl_aBdC16c64b2c, dnnl_gOwI16i64o4i = dnnl_aBdC16c64b4c, dnnl_OhwI16i32o2i = dnnl_AcdB16b32a2b, dnnl_OhwI16i32o4i = dnnl_AcdB16b32a4b, dnnl_OhwI16i48o2i = dnnl_AcdB16b48a2b, dnnl_OhwI16i48o4i = dnnl_AcdB16b48a4b, dnnl_OhwI16i64o2i = dnnl_AcdB16b64a2b, dnnl_OhwI16i64o4i = dnnl_AcdB16b64a4b, dnnl_gOhwI16i32o2i = dnnl_aBdeC16c32b2c, dnnl_gOhwI16i32o4i = dnnl_aBdeC16c32b4c, dnnl_gOhwI16i48o2i = dnnl_aBdeC16c48b2c, dnnl_gOhwI16i48o4i = dnnl_aBdeC16c48b4c, dnnl_gOhwI16i64o2i = dnnl_aBdeC16c64b2c, dnnl_gOhwI16i64o4i = dnnl_aBdeC16c64b4c, dnnl_OdhwI16i32o2i = dnnl_AcdeB16b32a2b, dnnl_OdhwI16i32o4i = dnnl_AcdeB16b32a4b, dnnl_OdhwI16i48o2i = dnnl_AcdeB16b48a2b, dnnl_OdhwI16i48o4i = dnnl_AcdeB16b48a4b, dnnl_OdhwI16i64o2i = dnnl_AcdeB16b64a2b, dnnl_OdhwI16i64o4i = dnnl_AcdeB16b64a4b, dnnl_gOdhwI16i32o2i = dnnl_aBdefC16c32b2c, dnnl_gOdhwI16i32o4i = dnnl_aBdefC16c32b4c, dnnl_gOdhwI16i48o2i = dnnl_aBdefC16c48b2c, dnnl_gOdhwI16i48o4i = dnnl_aBdefC16c48b4c, dnnl_gOdhwI16i64o2i = dnnl_aBdefC16c64b2c, dnnl_gOdhwI16i64o4i = dnnl_aBdefC16c64b4c, dnnl_hwioG16g = dnnl_decbA16a, dnnl_NCdhw40n16c = dnnl_ABcde40a16b, dnnl_NCw40n16c = dnnl_ABc40a16b, dnnl_NChw40n16c = dnnl_ABcd40a16b, dnnl_NCw40n32c = dnnl_ABc40a32b, dnnl_NChw40n32c = dnnl_ABcd40a32b, dnnl_NCdhw40n32c = dnnl_ABcde40a32b, dnnl_OIdhw4o8i8o2i = dnnl_ABcde4a8b8a2b, dnnl_OIhw4o8i8o2i = dnnl_ABcd4a8b8a2b, dnnl_OIw4o8i8o2i = dnnl_ABc4a8b8a2b, dnnl_gOIdhw4o8i8o2i = dnnl_aBCdef4b8c8b2c, dnnl_gOIhw4o8i8o2i = dnnl_aBCde4b8c8b2c, dnnl_gOIw4o8i8o2i = dnnl_aBCd4b8c8b2c, dnnl_IOdhw4i8o8i2o = dnnl_BAcde4b8a8b2a, dnnl_IOhw4i8o8i2o = dnnl_BAcd4b8a8b2a, dnnl_IOw4i8o8i2o = dnnl_BAc4b8a8b2a, dnnl_gIOdhw4i8o8i2o = dnnl_aCBdef4c8b8c2b, dnnl_gIOhw4i8o8i2o = dnnl_aCBde4c8b8c2b, dnnl_gIOw4i8o8i2o = dnnl_aCBd4c8b8c2b, dnnl_NCw2c32n8c = dnnl_ABc2b32a8b, dnnl_NChw2c32n8c = dnnl_ABcd2b32a8b, dnnl_NCdhw2c32n8c = dnnl_ABcde2b32a8b, dnnl_OIw2i8o16i4o = dnnl_ABc2b8a16b4a, dnnl_OIhw2i8o16i4o = dnnl_ABcd2b8a16b4a, dnnl_OIdhw2i8o16i4o = dnnl_ABcde2b8a16b4a, dnnl_OIw2o8i16o4i = dnnl_ABc2a8b16a4b, dnnl_OIw2o8i16o2i = dnnl_ABc2a8b16a2b, dnnl_IOw2i8o16i4o = dnnl_BAc2b8a16b4a, dnnl_IOw2i8o16i2o = dnnl_BAc2b8a16b2a, dnnl_OIhw2o8i16o4i = dnnl_ABcd2a8b16a4b, dnnl_OIhw2o8i16o2i = dnnl_ABcd2a8b16a2b, dnnl_IOhw2i8o16i4o = dnnl_BAcd2b8a16b4a, dnnl_IOhw2i8o16i2o = dnnl_BAcd2b8a16b2a, dnnl_OIdhw2o8i16o4i = dnnl_ABcde2a8b16a4b, dnnl_OIdhw2o8i16o2i = dnnl_ABcde2a8b16a2b, dnnl_IOdhw2i8o16i4o = dnnl_BAcde2b8a16b4a, dnnl_IOdhw2i8o16i2o = dnnl_BAcde2b8a16b2a, dnnl_gOIw2o8i16o2i = dnnl_aBCd2b8c16b2c, dnnl_gIOw2i8o16i2o = dnnl_aCBd2c8b16c2b, dnnl_gIOhw2i8o16i2o = dnnl_aBCde2c8b16c2b, dnnl_gIOdhw2i8o16i2o = dnnl_aBCdef2c8b16c2b, dnnl_gOIhw2o8i16o2i = dnnl_aBCde2b8c16b2c, dnnl_gOIdhw2o8i16o2i = dnnl_aBCdef2b8c16b2c, dnnl_gOIw2o8i16o4i = dnnl_aBCd2b8c16b4c, dnnl_gOIhw2o8i16o4i = dnnl_aBCde2b8c16b4c, };

Detailed Documentation

Memory format tag specification.
oneDNN formats describe physical data layout. The physical layout is described as a sequence of the dimensions as they are laid out in the memory (from the outer-most to the inner-most). Note that this order doesn’t affect the logical order of the dimensions that is kept in the
dims
field of the dnnl_memory_desc_t structure. The logical order of the dimensions is specified by the primitive that uses the tensor.
For example, CNN 5D tensor always has its logical dimensions in the order
(batch, channels, depth, height, width)
, while the physical layout might be
NCDHW
(corresponds to dnnl_ncdhw format tag) or
NDHWC
(corresponds to dnnl_ndhwc format tag).
int batch = 2, channels = 16, depth = 13, height = 13, width = 13; int ndims = 5; // 5D tensor dnnl_dims_t dims = {batch, channels, depth, height, width}; dnnl_memory_desc_t data_in_ncdhw; dnnl_memory_desc_init_by_tag( &data_in_ncdhw, 5, dims, dnnl_f32, dnnl_ncdhw); // note that in both cases dims passed are the same dnnl_memory_desc_t data_in_ndhwc; dnnl_memory_desc_init_by_tag( &data_in_ndhwc, 5, dims, dnnl_f32, dnnl_ndhwc);
Memory format tags can be further divided into two categories:
  • Domain-agnostic names, i.e. names the do not depend on the tensor usage in the specific primitive. These names use letters from
    a
    to
    l
    to denote logical dimension from 1 to 12, and form the order in which the dimensions are laid in memory. For instance, dnnl_ab is used to denote 2D tensor where the second logical dimension (aka
    b
    ) is the innermost, i.e. has stride = 1, and the first logical dimension (
    a
    ) laid out in memory with stride equal to the size of second dimension. On the other hand, dnnl_ba is just transposed version of the same tensor: the first dimension (
    a
    ) becomes the innermost one.
  • Domain-specific names, i.e. names that make sense only in the context of a certain domain, such as CNN. This names are just aliases to the corresponding domain-agnostic tags and used mostly for the convenience. For example, dnnl_nc is used to denote 2D CNN activations tensor memory format, where channels are the innermost dimension and batch is an outermost one. Moreover, dnnl_nc is just an alias to dnnl_ab, since for oneDNN CNN primitives the logical dimensions of activations tensors come in order: batch, channels, spatial. In other words, batch corresponds to the first logical dimension (
    a
    ), channels correspond to the second one (
    b
    ).
The following domain-specific notation applies to memory format tags:
  • 'n'
    denotes the mini-batch dimension
  • 'c'
    denotes a channels dimension
  • When there are multiple channel dimensions (for example, in convolution weights tensor),
    'i'
    and
    'o'
    denote dimensions of input and output channels
  • 'd'
    ,
    'h'
    , and
    'w'
    denote spatial depth, height, and width respectively
Upper-case letters indicate that the data is laid out in blocks for a particular dimension. In such cases, the format name contains both upper- and lower-case letters for that dimension with a lower-case letter preceded by the block size. For example: dnnl_nChw8c describes a format where the outermost dimension is mini-batch, followed by the channel block number, followed by the spatial height and width, and finally followed by 8-element channel blocks.
See also:
Enum Values
dnnl_format_tag_undef
Undefined memory format tag.
dnnl_format_tag_any
Undefined memory format tag.
The primitive selects a format automatically.
dnnl_a
plain 1D tensor
dnnl_ab
plain 2D tensor
dnnl_abc
plain 3D tensor
dnnl_abcd
plain 4D tensor
dnnl_acbd
plain 4D tensor
dnnl_abcde
plain 5D tensor
dnnl_abcdef
plain 6D tensor
dnnl_abcdefg
plain 7D tensor
dnnl_abcdefgh
plain 8D tensor
dnnl_abcdefghi
plain 9D tensor
dnnl_abcdefghij
plain 10D tensor
dnnl_abcdefghijk
plain 11D tensor
dnnl_abcdefghijkl
plain 12D tensor
dnnl_abdc
permuted 4D tensor
dnnl_abdec
permuted 5D tensor
dnnl_acb
permuted 3D tensor
dnnl_acbde
permuted 5D tensor
dnnl_acbdef
permuted 6D tensor
dnnl_acdb
permuted 4D tensor
dnnl_acdeb
permuted 5D tensor
dnnl_ba
permuted 2D tensor
dnnl_bac
permuted 3D tensor
dnnl_bacd
permuted 4D tensor
dnnl_bacde
permuted 5D tensor
dnnl_bca
permuted 3D tensor
dnnl_bcda
permuted 4D tensor
dnnl_bcdea
permuted 5D tensor
dnnl_cba
permuted 3D tensor
dnnl_cdba
permuted 4D tensor
dnnl_dcab
permuted 4D tensor
dnnl_cdeba
permuted 5D tensor
dnnl_decab
permuted 5D tensor
dnnl_defcab
permuted 6D tensor
dnnl_abced
permuted 5D tensor
dnnl_abcdfe
permuted 6D tensor
dnnl_abcdegf
permuted 7D tensor
dnnl_abcdefhg
permuted 8D tensor
dnnl_abcdefgih
permuted 9D tensor
dnnl_abcdefghji
permuted 10D tensor
dnnl_abcdefghikj
permuted 11D tensor
dnnl_abcdefghijlk
permuted 12D tensor
dnnl_aBc16b
3D tensor blocked by 2nd dimension with block size 16
dnnl_aBc32b
3D tensor blocked by 2nd dimension with block size 32
dnnl_aBc4b
3D tensor blocked by 2nd dimension with block size 4
dnnl_aBc8b
3D tensor blocked by 2nd dimension with block size 8
dnnl_aBcd16b
4D tensor blocked by 2nd dimension with block size 16
dnnl_aBcd32b
4D tensor blocked by 2nd dimension with block size 32
dnnl_aBcd4b
4D tensor blocked by 2nd dimension with block size 4
dnnl_aBcd8b
4D tensor blocked by 2nd dimension with block size 8
dnnl_ABcd8b8a
4D tensor blocked by 1st and 2nd dimension with block size 8
dnnl_aBCd2b4c2b
4D tensor blocked by 3rd dimension with block size 4
dnnl_ABcde4b16a4b
5D tensor blocked by 1st dimension with block size 16
dnnl_ABcde2b8a4b
5D tensor blocked by 1st dimension with block size 8
dnnl_aBcde16b
5D tensor blocked by 2nd dimension with block size 16
dnnl_aBcde32b
5D tensor blocked by 2nd dimension with block size 32
dnnl_aBcde4b
5D tensor blocked by 2nd dimension with block size 4
dnnl_aBcde8b
5D tensor blocked by 2nd dimension with block size 8
dnnl_aBCde2b4c2b
5D tensor blocked by 3rd dimension with block size 4
dnnl_aBcdef16b
6D tensor blocked by 2nd dimension with block size 16
dnnl_aBCdef2c8b4c
6D tensor blocked by 2nd dimension with block size 8
dnnl_aBCdef2b4c2b
6D tensor blocked by 3rd dimension with block size 4
dnnl_aBcdef4b
6D tensor blocked by 2nd dimension with block size 4
dnnl_abdfce
permuted 6D tensor
dnnl_abdefc
permuted 6D tensor
dnnl_format_tag_last
Just a sentinel, not real memory format tag.
Must be changed after new format tag is added.
dnnl_x
1D tensor, an alias to dnnl_a
dnnl_nc
2D CNN activations tensor, an alias to dnnl_ab
dnnl_cn
2D CNN activations tensor, an alias to dnnl_ba
dnnl_tn
2D RNN statistics tensor, an alias to dnnl_ab
dnnl_nt
2D RNN statistics tensor, an alias to dnnl_ba
dnnl_ncw
3D CNN activations tensor, an alias to dnnl_abc
dnnl_nwc
3D CNN activations tensor, an alias to dnnl_acb
dnnl_nchw
4D CNN activations tensor, an alias to dnnl_abcd
dnnl_nhwc
4D CNN activations tensor, an alias to dnnl_acdb
dnnl_chwn
4D CNN activations tensor, an alias to dnnl_bcda
dnnl_ncdhw
5D CNN activations tensor, an alias to dnnl_abcde
dnnl_ndhwc
5D CNN activations tensor, an alias to dnnl_acdeb
dnnl_oi
2D CNN weights tensor, an alias to dnnl_ab
dnnl_io
2D CNN weights tensor, an alias to dnnl_ba
dnnl_oiw
3D CNN weights tensor, an alias to dnnl_abc
dnnl_owi
3D CNN weights tensor, an alias to dnnl_acb
dnnl_wio
3D CNN weights tensor, an alias to dnnl_cba
dnnl_iwo
3D CNN weights tensor, an alias to dnnl_bca
dnnl_oihw
4D CNN weights tensor, an alias to dnnl_abcd
dnnl_hwio
4D CNN weights tensor, an alias to dnnl_cdba
dnnl_ohwi
4D CNN weights tensor, an alias to dnnl_acdb
dnnl_ihwo
4D CNN weights tensor, an alias to dnnl_bcda
dnnl_iohw
4D CNN weights tensor, an alias to dnnl_bacd
dnnl_oidhw
5D CNN weights tensor, an alias to dnnl_abcde
dnnl_iodhw
5D CNN weights tensor, an alias to dnnl_bacde
dnnl_dhwio
5D CNN weights tensor, an alias to dnnl_cdeba
dnnl_odhwi
5D CNN weights tensor, an alias to dnnl_acdeb
dnnl_idhwo
5D CNN weights tensor, an alias to dnnl_bcdea
dnnl_goiw
4D CNN weights tensor (incl. groups), an alias to dnnl_abcd
dnnl_gowi
4D CNN weights tensor (incl. groups), an alias to dnnl_abdc
dnnl_wigo
4D CNN weights tensor (incl. groups), an alias to dnnl_dcab
dnnl_goihw
5D CNN weights tensor (incl. groups), an alias to dnnl_abcde
dnnl_gohwi
5D CNN weights tensor (incl. groups), an alias to dnnl_abdec
dnnl_hwigo
5D CNN weights tensor (incl. groups), an alias to dnnl_decab
dnnl_giohw
5D CNN weights tensor (incl. groups), an alias to dnnl_acbde
dnnl_goidhw
6D CNN weights tensor (incl. groups), an alias to dnnl_abcdef
dnnl_godhwi
6D CNN weights tensor (incl. groups), an alias to dnnl_abdefc
dnnl_giodhw
6D CNN weights tensor (incl. groups), an alias to dnnl_acbdef
dnnl_dhwigo
6D CNN weights tensor (incl. groups), an alias to dnnl_defcab
dnnl_tnc
3D RNN data tensor in the format (seq_length, batch, input channels), an alias to dnnl_abc.
dnnl_ntc
3D RNN data tensor in the format (batch, seq_length, input channels), an alias to dnnl_bac.
dnnl_ldnc
4D RNN states tensor in the format (num_layers, num_directions, batch, state channels), an alias to dnnl_abcd.
dnnl_ldigo
5D RNN weights tensor in the format (num_layers, num_directions, input_channels, num_gates, output_channels), an alias to dnnl_abcde.
  • For LSTM cells, the gates order is input, forget, candidate and output gate.
  • For GRU cells, the gates order is update, reset and output gate.
dnnl_ldgoi
5D RNN weights tensor in the format (num_layers, num_directions, num_gates, output_channels, input_channels), an alias to dnnl_abdec.
  • For LSTM cells, the gates order is input, forget, candidate and output gate.
  • For GRU cells, the gates order is update, reset and output gate.
dnnl_ldio
4D LSTM projection tensor in the format (num_layers, num_directions, num_channels_in_hidden_state, num_channels_in_recurrent_projection), an alias to dnnl_abcd.
dnnl_ldoi
4D LSTM projection tensor in the format (num_layers, num_directions, num_channels_in_recurrent_projection, num_channels_in_hidden_state), an alias to dnnl_abdc.
dnnl_ldgo
4D RNN bias tensor in the format (num_layers, num_directions, num_gates, output_channels), an alias to dnnl_abcd.
  • For LSTM cells, the gates order is input, forget, candidate and output gate.
  • For GRU cells, the gates order is update, reset and output gate.
dnnl_ldOi32o
5D LSTM projection tensor
dnnl_ldgOi32o
6D RNN weights tensor
dnnl_nCdhw32c
5D CNN activations tensor blocked by channels with block size 32, an alias to dnnl_aBcde32b
dnnl_nCdhw16c
5D CNN activations tensor blocked by channels with block size 16, an alias to dnnl_aBcde16b
dnnl_nCdhw4c
5D CNN activations tensor blocked by channels with block size 4, an alias to dnnl_aBcde4b
dnnl_nCdhw8c
5D CNN activations tensor blocked by channels with block size 8, an alias to dnnl_aBcde8b
dnnl_nChw32c
4D CNN activations tensor blocked by channels with block size 32, an alias to dnnl_aBcd32b
dnnl_nChw16c
4D CNN activations tensor blocked by channels with block size 16, an alias to dnnl_aBcd16b
dnnl_nChw4c
4D CNN activations tensor blocked by channels with block size 4, an alias to dnnl_aBcd4b
dnnl_nChw8c
4D CNN activations tensor blocked by channels with block size 8, an alias to dnnl_aBcd8b
dnnl_nCw32c
3D CNN activations tensor blocked by channels with block size 32, an alias to dnnl_aBc32b
dnnl_nCw16c
3D CNN activations tensor blocked by channels with block size 16, an alias to dnnl_aBc16b
dnnl_nCw4c
3D CNN activations tensor blocked by channels with block size 4, an alias to dnnl_aBc4b
dnnl_nCw8c
3D CNN activations tensor blocked by channels with block size 8, an alias to dnnl_aBc8b

Product and Performance Information

1

Performance varies by use, configuration and other factors. Learn more at www.Intel.com/PerformanceIndex.