zjing14
3835318cc3
xdlops_v4r4_fwd fp32/fp16 ( #34 )
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* create files for xdlops
* working on blockwise_gemm_xdlops
* add KReduction
* add m/n repeats
* add 2x2 pipeline
* added 128x128 wavegemm
* use StaticBuffer of vector_type
* break vector type to blk_size
* add kpack into xldops_gemm and blockwise_gemm
* abroadcast only
* add fp32 mfma instructions
* adding fp16 mfma
* pack half4_t
* rename kperwave to kpack
* add 32x32x8fp16
* add fp16 mfma
* clean code
* clean code
* V4r4 xdlops kpack (#35 )
* add kpack with incorrect results
* bug fix for make_dynamic_naive_tensor_descriptor_aligned_v2
* add 1x1 kernel
* add gridwise_gemm_v2 - single_buffer
* enabled dwordx4 for fp16
Co-authored-by: Chao Liu <chao.liu2@amd.com >
* refactor fwd-v4r4-xdlops
* add v4r4-nhwc-xdlop
* improve some perf of nhwc and nchw by tuning parameters, and change scheuduling in gridwise-gemm loop
* tweak scheduling in gridwise gemm
* add v4r3 with a single output copy
* init commit: output with slice win
* adding sliceWin
* add multiple repeats pattern
* starting adding bwd-v4r1-xdlops
* use tuple as SrcBuffer
* adding bwd-data v4r1 nhwc xdlops
* fix bug in make_dynamic_naive_tensor_descriptor_aligned_v2()
* fix bug in host bwd-data conv
* initial implementation of bwd-data v4r1 nhwc xdlops
* add launch bound flags
* enable launch bound
* add m/nrepeat=4
* tweak bwd-data v4r1 nhwc xdlops
* added bwd-data v4r1 nhwc xlops with output A and weight B
* add fwd-v4r4 nhwc xdlops, A input, B weight, C output
Co-authored-by: Chao Liu <chao.liu2@amd.com >
2021-07-01 14:33:00 -05:00
Chao Liu
30072aec37
Restructure gridwise and blockwise GEMM, add tensor contraction and FWD-v4r5 ( #36 )
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* experimenting magic number division
* overhauling fwd-v4r4 to clearly reflect transformation graph
* added fwd-v4r5
* bug fix for make_dynamic_naive_tensor_descriptor_aligned_v2
* bug fix and added sanity-check in transform_dynamic_tensor_descriptor
* added conv_driver_v2
2021-06-09 23:53:08 -05:00
Chao Liu
fcbb978828
Dynamic tensor descriptor ( #24 )
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* support dynamic tensor descriptor
* use buffer load OOB feature for padding case
* add navi support
* add int8x4 inference kernel
Co-authored-by: Chao Liu <chao@ixt-rack-81.local.lan >
Co-authored-by: Jing Zhang <jizhan@amd.com >
2021-03-25 13:51:11 -05:00
Chao Liu
5c7cec1115
Code clean up ( #20 )
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* tuning para,
* testing on v100
* add fp16
* remove deprecated tensor descriptor
* sync with miopen
* update build script
Co-authored-by: Jing Zhang <jizhan@amd.com >
2020-06-23 20:31:27 -05:00
Chao Liu
8f5f64960e
backward data ( #7 )
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* enabled atomic add in tensor copy
* added gridwise GEMM
* added backward data conv using GEMM + atomic
* added backward data conv using GEMM, no atomic
2019-12-03 01:16:12 -06:00
Chao Liu
52c3fe05be
Refactor for MIOpen integration ( #4 )
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Refactor, so can bring multi-index transformation and padding support into MIOpen
2019-10-11 11:37:31 -05:00
Chao Liu
625838def0
added tuple
2019-09-06 18:07:56 -05:00
Chao Liu
96d73c2154
Merge remote-tracking branch 'origin/build_0705' into implicit_gemm_v4r2
2019-07-05 16:29:20 -05:00