mirror of
https://github.com/PaddlePaddle/FastDeploy.git
synced 2025-10-04 16:22:57 +08:00
8f426c1690
* Change wint2 to ColumnMajor. Change-Id: I6b44d02946a685f8fe24d9f2c7be258b51e16da2 * Unify default_wint2x_mma. Change-Id: I9e77b0e8e6cecab01fedc0b24b536ee0a1a89ff7 * Change wint2 to ColumnMajorTileInterleave. Change-Id: I593cbe36f991c0c5044989d65f0014087587c624 * Enable async copy for B. Change-Id: Ia3ac37ad162a8cf3ccce4f268e81bd06c8ac3c46 * Add wint2x Dequantizer * Remove TileDequanterB related codes. Change-Id: Id8e65703b72a8984d367f584ff41b7726017fbb8 * Implement FastInterleavedAndBiasedNumericArrayConverter for wint2. Change-Id: I438f2b18ab964a04ae1cdb09d9e7d9f7b95eafca * Implement Wint2ParamsAccessor to load extra quant params from global memory. Change-Id: Ic3750cd9b767df8893501820880c3342a4b47233 * Implement FastInterleavedAndBiasedNumericArrayConverter for wint2. Change-Id: I438f2b18ab964a04ae1cdb09d9e7d9f7b95eafca * Use async copy for local_scale. Change-Id: Ib882ba41c3d2354bda4d25b40e2408ad3b2f7893 * Check and correct the load and dequantize of weights. Change-Id: Ie8dca505b39987144964fe6407d465b3b5953790 * Change for performance tuning. Change-Id: I1da026fb1d1533a9d70350c7ba23c27e896cfc29 * Optimize the global memory access size of local_scale reading. Change-Id: I4cbe3a2ef5951723d415c2d3252ce912394beaf5 * Specialize mma_tensor_op for wint2 to enable fine-grained pipeline. Change-Id: Icbb4d48f90a41136f42d6ffff42d68de32f408da * Minor fix. Change-Id: I14d4ac9d267ee05442a3b47f00c26bee13d79e6f * optimizing dequant performance with LOP3 * optimizing dequant performance with LOP3 * Avoid redundant dequantization of local_scale and use bf16 as computing type. Change-Id: I63239ebc8f8e4a92d6281af59840ba50600b4334 * Add Multiplier and remove some logs. Change-Id: Ifa199d81e6aeb472d2247c63f85ef30213684bcd * optimizing dequant performance with LOP3 * Use __byte_perm to implement int8 to float32 conversion for performance improvement. * Use lop3 to optimize the dequantize of local_scale. Change-Id: I6189759970cb5b8dcbef769724784b8a7533b63c * Minor fix and remove some logs. Change-Id: I6279ba9926d5041093b1c6aea200acf2e4c49d46 * Fix stages for test. Change-Id: I6f7b7cac612ef2c678e9d49f5ffa60eb53d3ae29 * Fix stages for test and add clock64 to profile. Change-Id: Iffaf7324beaa910ce9ee56f47ae289de98f1a267 * Use __byte_perm to replace shift-and-or operations for faster integer merging. * Split the uint2b convert. Change-Id: I78da672ce8968e21f685285140ba546a161521b4 * Optimize convert of unscale. Change-Id: I6795da1cdf5e8ab38ddaa9836240921b5312913a * Minor optimization. Change-Id: I1800aec34c3f4621abb02658208108f54da44d88 * Optimize mma pipeline and refine codes. Change-Id: Id3075cf7b88f2813a11ccd1d3b49c62c978f36b8 * Add missing support. Change-Id: Id65b7bc2c25fbb1a5b232c6bc9fb8c9093f691a8 * Accelerate FP16 dequantization performance * Support tile shape as Xx64x64. Change-Id: Ib8fd37e1ba1d06f7d11f2956e7f1367b0a92bcac * Remove debugging codes and minor optimization. Change-Id: I6b79bd56a6e8dd823efc169967ecd3cc9a43baf4 * Fix offset bug. Change-Id: Id7aeb91e99d6f51836f2aff22187b4f79607395e * Fix typo. Change-Id: I19dde93fc1c1f7e19605905c90dc46298e203952 * Restore some codes and remove some debugging logs. Change-Id: I8d44daf82ad1c6f8174134d195e7b3fe9a3afdfb --------- Co-authored-by: baoqiwen <baoqiwen@baidu.com>