* reduce the docker image size and layers
* clean up docker file
* fix linker error for client example 24
* install CK into the default /opt/rocm/ path
* restore installing CK to alternative path in CI
* add linking for utility lib
* Enable CMakePresets build
* Verify Convolution, Scaling and ReLU algorithms.
* Add tensor element-wise scale and type cast operation.
* Reduction implemented but does not work.
* Exploration of Reduction functionality.
* Completed example for Convolution scaled with ReLu activation and AMAX reduction.
* WIP: Add required instances for convolution.
* WIP: Create client example. Implement convolution stage.
* Add elementwise instances.
* Add elementwise scale + convert example.
* Add reduction instances.
* WIP: Client example for AMAX reduction.
* WIP: Add instances for multistage reduction.
* WIP: Implementation of multistage reduction.
* Refactoring.
* Clean up.
* Add CMakePresets.json
* Guard off FP8 instances when the data type is not available.
* Add example for Scaled FP8 Convolution with AMAX reduction.
* Refactor CombConvScaleRelu instances.
* Add CombConvScale instances.
* Add client example for Scaled FP8 Convolution with AMAX reduction.
* Cleanup.
* Add CMakePresets configurations.
* Add ConvScale+ReLU Functor and an Example
* Account for ReLU FLOPs.
* Add instances of 3D convolutions with ConvscaleRelu operation.
* Implement Client Example
* Cleanup
We are adding more instances of grouped convolution 3d forward with a ConvScale element-wise operation.
This commit handles bf8@bf8->fp8 data types combination.
* Included an example.
* Added instances.
* Added a client example.
---------
Co-authored-by: Rostyslav Geyyer <rosty.geyyer@amd.com>
Co-authored-by: Bartłomiej Kocot <barkocot@amd.com>
* Update the element op
* Add an example
* Add instances
* Add a client example
* make sure new instances only build on gfx9
* Update element op and its handling
* Format
* Update instances to take element op as an argument
* Update examples to use random scale values
* Format
* Update client example with random scales
* Format
---------
Co-authored-by: illsilin <Illia.Silin@amd.com>
* Add a scale op
* Update the element op
* Add instances
* Add an example
* Add a client example
* Add a flag check
* Revert flag check addition
* Fix flag check
* Update d strides in example
* Update d strides in client example
* Apply suggestions from code review
Update copyright header
Co-authored-by: Bartłomiej Kocot <barkocot@amd.com>
* Move the example
* Move the client example
* Update element op
* Update example with the new element op
* Add scalar layout
* Update example
* Update kernel for scalar Ds
* Revert kernel changes
* Update element op
* Update example to use scales' pointers
* Format
* Update instances
* Update client example
* Move element op to unary elements
* Update element op to work with values instead of pointers
* Update instances to take element op as an argument
* Update examples to use random scale values
---------
Co-authored-by: Bartłomiej Kocot <barkocot@amd.com>
* parse examples inside the add_example_executable function
* fix the example 64 cmake file
* add xdl flag to the gemm_bias_softmax_gemm_permute example
* add filtering of tests based on architecture type
* enable test_grouped_gemm for gfx9 only
* enable test_transpose only for gfx9
* only linnk test_transpose if it gets built
* split the gemm instances by architectures
* split gemm_bilinear,grouped_conv_bwd_weight instances by targets
* split instances by architecture
* split grouped_conv instances by architecture
* fix clang format
* fix the if-else logic in group_conv headers
* small fix for grouped convolution instances
* fix the grouped conv bwd weight dl instances
* fix client examples
* only enable client examples 3 and 4 on gfx9
* set the gfx9 macro
* make sure the architecture macros are set by cmake
* use separate set of xdl/wmma flags for host code
* sinmplify the main cmake file
* add conv_fwd_bf8 instance declaration
