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gaoqiong
composable_kernel
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992bd8d7
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992bd8d7
authored
Sep 27, 2023
by
Lisa
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GitHub
Sep 27, 2023
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Suggested CHANGELOG.md edits
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CHANGELOG.md
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992bd8d7
# Change
L
og for Composable Kernel
# Change
l
og for Composable Kernel
Full documentation for Composable Kernel is not yet available.
Full documentation for Composable Kernel is not yet available.
## (Unreleased) CK for ROCm 6.0.0
## (Unreleased) CK for ROCm 6.0.0
### Fixe
d
### Fixe
s
-
Fixed a hazard
with using
inline v_dot (#808).
-
Fixed a hazard
associated with
inline v_dot (#808).
-
Fixed a bug
s
in grouped
C
onvolution backward data with
not
padd
ed K
(#848 #876).
-
Fixed a bug in grouped
c
onvolution backward data with
out K
padd
ing
(#848 #876).
### Optimizations
### Optimizations
### Added
### Additions
-
Added image to column (#867) and column to image kernels (#930).
-
Added an image to a column kernel (#867).
-
Added support for 3D grouped Convolution forward on Navi3x (#935).
-
Added a column to an image kernel (#930).
-
Added support for small K and C for grouped Convolution (#822 #879 #897).
-
Added support for 3D grouped convolution forward on RDNA 3 GPUs (#935).
-
Added support NHWGC 2D and 3D grouped Convolution backward weight (#769 #804).
-
Added grouped convolution support for small K and C (#822 #879 #897).
-
Added support bf16/f32/f16 and NHWGC 2D and 3d grouped Convolution backward data (#757 #799).
-
Added support for NHWGC 2D and 3D grouped convolution backward weight (#769 #804).
-
Added support for bf16/f32/f16 and NHWGC 2D and 3d grouped convolution backward data (#757 #799).
-
Added support for Batched Gemm DL (#732).
-
Added support for Batched Gemm DL (#732).
### Change
d
### Change
s
-
Changed grouped
C
onvolution API to
keep
consistency with other convolution kernels (#817).
-
Changed
the
grouped
c
onvolution API to
maintain
consistency with other convolution kernels (#817).
## CK 0.2.0 for ROCm 5.7.0
## CK 0.2.0 for ROCm 5.7.0
### Fixe
d
### Fixe
s
-
Fixed a bug in 6-dimensional kernels (#555).
-
Fixed a bug in 6-dimensional kernels (#555).
-
Fixed grouped ConvBwdWeight
test case failure
(#524).
-
Fixed
a test case failure with
grouped ConvBwdWeight (#524).
### Optimizations
### Optimizations
-
Improve proformance of normalization kernel
-
Improved the performance of the normalization kernel.
### Added
### Additions
-
Added new cmake flag "DL_KERNELS" must be set to "ON" in order to build the gemm_dl and batched_gemm_multi_d_dl instances.
-
Added new CMake flags:
-
Added new cmake flag "DTYPES" which could be set to any subset of "fp64;fp32;fp16;fp8;bf16;int8" to build instance of select data types.
-
"DL_KERNELS"-- Must be set to "ON" in order to build the gemm_dl and batched_gemm_multi_d_dl instances
-
Added new cmake flag "INSTANCES_ONLY" which will only build CK library and instances without the tests, examples, or profiler.
-
"DTYPES" -- Can be set to any subset of "fp64;fp32;fp16;fp8;bf16;int8" to build an instance of the specified data types
-
Added new feature: if GPU_TARGETS is not set on cmake command line, CK will be built for all targets supported by compiler.
-
"INSTANCES_ONLY" -- Only builds CK library and instances without tests, examples, or profiler
-
Added support on MI300A/MI300X.
-
Added a new feature: if GPU_TARGETS is not set in the CMake command line, CK will be built for all targets supported by the compiler.
-
Added support on NAVI3x.
-
Added support for MI300A/MI300X.
-
Added user tutorial (#563).
-
Added support for AMD RDNA 3.
-
Added more instances for irregular GEMM sizes (#560).
-
Added a user tutorial (#563).
-
Added inter-wave consumer-producer programming model for GEMM kernels (#310).
-
Added additional instances for irregular GEMM sizes (#560).
-
Added an inter-wave consumer-producer programming model for GEMM kernels (#310).
-
Added multi-D GEMM client APIs (#534).
-
Added multi-D GEMM client APIs (#534).
-
Added multi-embeddings support (#542).
-
Added multi-embeddings support (#542).
-
Added
Navi3x
blockwise GEMM and real GEMM support (#541).
-
Added
AMD RDNA 3
blockwise GEMM and real GEMM support (#541).
-
Added
Navi
grouped ConvBwdWeight support (#505).
-
Added
AMD RDNA-
grouped ConvBwdWeight support (#505).
-
Added MaxPool, AvgPool forward (#815).
-
Added MaxPool, AvgPool forward (#815).
-
Added MaxPool backward (#750).
-
Added MaxPool backward (#750).
### Change
d
### Change
s
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