yinglu
dd7af118d7
TF32 POC in Conv3d on MI30x platform #2763 (second attempt) ( #2852 )
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* Revert "Revert "feature:tf32:add initial conv3d fwd kernel support (#2763 )" (#2848 )"
This reverts commit 03b59f8c76
2025-09-17 14:50:15 -07:00
Illia Silin
03b59f8c76
Revert "feature:tf32:add initial conv3d fwd kernel support ( #2763 )" ( #2848 )
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This reverts commit c51102144f
2025-09-15 08:27:04 -07:00
lym
c51102144f
feature:tf32:add initial conv3d fwd kernel support ( #2763 )
2025-09-15 21:03:00 +08:00
Rostyslav Geyyer
e626d5202a
Add instances for conv_scale with fp8 in/out ( #1193 )
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* Add fp8 conv instances and client example
* Format
* Add example
* Update cmakelists
* Add profiler mode
* Format
* Fix copyright headers
2024-03-15 09:50:03 -07:00
Illia Silin
b94fd0b227
update copyright headers ( #726 )
2023-05-31 18:46:57 -05:00
Po Yen Chen
4a2a56c22f
Rangify constructor of HostTensorDescriptor & Tensor<> ( #445 )
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* Rangify STL algorithms
This commit adapts rangified std::copy(), std::fill() & std::transform()
* Rangify check_err()
By rangifying check_err(), we can not only compare values between
std::vector<>s, but also compare any ranges which have same value
type.
* Allow constructing Tensor<> like a HostTensorDescriptor
* Simplify Tensor<> object construction logics
* Remove more unnecessary 'HostTensorDescriptor' objects
* Re-format example code
* Re-write more HostTensorDescriptor ctor call
2022-11-11 11:36:01 -06:00
Chao Liu
204ef976ca
add more datatype to gemm+gemm and conv+conv example ( #397 )
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* refactor
* refactor
* adding int4/int8/fp16/bf16 for conv+conv and gemm+gemm
* adding int4/int8/fp16/bf16 for conv+conv and gemm+gemm
* clean
2022-09-01 09:31:17 -05:00
Chao Liu
500fa99512
Clean up conv example, Instances, profiler and test ( #324 )
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* convnd_fwd fp16 example
* update example
* update example
* update instance
* updating refernce conv
* update reference conv
* update conv fwd profiler
* update conv 1d and 3d instance
* update include path
* clean
* update profiler for conv bwd data and weight
* update conv bwd weight
* clean
* update conv example
* update profiler for conv bwd weight
* update ckprofiler for conv bwd data
* fix reference conv bwd data bug; update conv bwd data test
* update examples
* fix initialization issue
* update test for conv fwd
* clean
* clean
* remove test case too sensitive to error threshhold
* fix test
* clean
* fix build
* adding conv multiple d
* adding conv multiple D
* add matrix padder
* add gemm padding to convnd
* adding group conv
* update gemm multi-d
* refactor
* refactor
* refactor
* clean
* clean
* refactor
* refactor
* reorg
* add ds
* add bias
* clean
* add G
* adding group
* adding group
* adding group
* update Tensor
* clean
* update example
* update DeviceGemmMultipleD_Xdl_CShuffle
* update conv bwd-data and bwd-weight
* upate contraction example
* update gemm and batch gemm with e permute
* fix example build
* instance for grouped conv1d
* update example
* adding group conv instance
* update gemm bilinear instance
* update gemm+add+add+fastgelu instance
* update profiler
* update profiler
* update test
* update test and client example
* clean
* add grouped conv into profiler
* update profiler
* clean
* add test grouped conv, update all conv test to gtest
* update test
2022-07-29 18:19:25 -05:00
