## Motivation
We want close the performance gap between old CK and CK Tile for bwd
data convolutions. To achieve this, we need tow things
- Configurations for the old CK kernel instances such that we can map
them into CK Tile instances.
- Support in CK profiler to run the CK Tile instance with the same API
as for old CK instances.
## Technical Details
Extracted kernel configurations from old CK. The codegen python script
for CK Tile convs is extended to support also bwd data. The generated
instances are added to the CMake build (target
`device_grouped_conv_bwd_data_tile_instances`).
A new profiler op (`grouped_conv_bwd_data_tile`) has been added to the
CK Profiler. The API is same as for old CK's profiler op
`grouped_conv_bwd_data`.
---------
Co-authored-by: Ville Pietilä <>
## Motivation
Move grouped conv .cpp instances to build dir. Fix generate instances
script.
## Technical Details
Avoid CI problem when instances in experimental directory are not
removed
## Test Plan
test_grouped_convnd_*_tile
## Test Result
Pending
## Submission Checklist
- [x] Look over the contributing guidelines at
https://github.com/ROCm/ROCm/blob/develop/CONTRIBUTING.md#pull-requests.
## Motivation
Fix v1 pipeline for KM/KN layouts by passing correct step for dram tile
window.
## Technical Details
- Fix dram step for KM/KN layouts in V1 pipeline
- Disable instances which use more threads than warp size in continous
dim (not supported in ck tile yet)
- Use 1x1 specialization for explicit gemm
- Use two stage for vectorsize =1 and sizeof(datatype) ==2
- remove not needed check sinze GetVectorSizeA/B check if vector size is
fixed
## Test Plan
test_grouped_convnd_bwd_weight_tile
## Test Result
passed locally
## Submission Checklist
- [x] Look over the contributing guidelines at
https://github.com/ROCm/ROCm/blob/develop/CONTRIBUTING.md#pull-requests.
AICK-966
## Motivation
Grouped Convolution Backward Weight split k fixes for CK tile kernels
## Technical Details
- get k batch from kargs to get deduced k batch
- multiply zeroing size by data type size
- disable v6 (producing a incorrect results)
## Test Plan
test_grouped_convnd_bwd_weight_tile
## Test Result
Pass
## Submission Checklist
- [x] Look over the contributing guidelines at
https://github.com/ROCm/ROCm/blob/develop/CONTRIBUTING.md#pull-requests.
---------
Co-authored-by: Ville Pietilä <>
## Motivation
PR #4797 added CK Tile bwd weight kernels to the CK Profiler. The
two-stage kernels were not supported in the initial PR. This PR adds the
the missing bwd weight two-stage kernels to the CK Profiler.
## Technical Details
Extended the CK Tile conv builder factory to build also the elementwise
ops required for the two-stage kernels. Extended the CK Builder for CK
Tile instance to accept the two-stage flag as part of the algorithm
configuration.
## Test Plan
Added units tests for CK Builder that verify the two-stage kernel
construction.
## Test Result
If CI passes, the added unit tests are passing.
## Submission Checklist
- [x] Look over the contributing guidelines at
https://github.com/ROCm/ROCm/blob/develop/CONTRIBUTING.md#pull-requests.
---------
Co-authored-by: Ville Pietilä <>
## Motivation
Improve profiling for grouped convolution forward for better comparison
between CK and CK Tile
## Technical Details
- Include preprocessing time for ck tile
- Add flush cache for conv fwd profiler
- Switch configs to builder reflect
- Add KPerXdl deduce
- Add non-grouped ported instances
## Test Plan
test_grouped_convnd_fwd_tile
## Test Result
pass
## Submission Checklist
- [x] Look over the contributing guidelines at
https://github.com/ROCm/ROCm/blob/develop/CONTRIBUTING.md#pull-requests.
AICK-786
## Motivation
Test grouped conv backward weight from ck tile and fix incorrect values.
## Technical Details
- Add test for CI
- Add daily tests
- Fix transpose load in BASE_V1 pipeline
## Test Plan
test_grouped_convnd_backward_weight_tile
## Test Result
in progress
## Submission Checklist
- [x] Look over the contributing guidelines at
https://github.com/ROCm/ROCm/blob/develop/CONTRIBUTING.md#pull-requests.
AICK-783
## Motivation
To compare old CK and CK Tile, we need to extend the current CK profiler
to support running also CK Tile instance with the same API. In order to
have the same instance coverage in CK Tile compared to the old CK, I've
added code generation from old CK configurations to CK Tile instances
using the CK Builder.
## Technical Details
- The codegen python script for CK Tile fwd convs is extended to support
also bwd weight and bwd data.
- The generated instances are added to the CMake build (target
`device_grouped_conv_bwd_weight_tile_instance`s).
- A new profiler op (`grouped_conv_bwd_weight_tile`) has been added to
the CK Profiler.
---------
Co-authored-by: Ville Pietilä <>
Co-authored-by: Bartlomiej Kocot <barkocot@amd.com>
## Motivation
Improve OOB checks. Remove permutes which have been generated by thread
buffer zero clear. at now in assembly there is only condmask instead of
permute + condmask.
Change number of KPack for generated instances
## Technical Details
Remove permute instructions from assembly
## Test Plan
test_grouped_convnd_fwd_tile
## Test Result
passed
## Submission Checklist
- [x] Look over the contributing guidelines at
https://github.com/ROCm/ROCm/blob/develop/CONTRIBUTING.md#pull-requests.
---------
Co-authored-by: jakpiase <jakpia21@gmail.com>
## Motivation
CK Tile grouped convolution forward direct load support.
## Technical Details
Basic pipeline for direct load and new instances for forward for v1 and
v4 pipelines.
## Test Plan
test_grouped_convnd_fwd_tile
## Test Result
CI pending
## Submission Checklist
- [x] Look over the contributing guidelines at
https://github.com/ROCm/ROCm/blob/develop/CONTRIBUTING.md#pull-requests.
AICK-130
