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* GH-2368 Adding a basic glossary GH-2368 Minor edits GH-2368 Adding missing READMEs and standardization. resolving readme updates GH-2368 Minor improvements to documentation. Improving some readmes. Further improvement for readmes. Cleaned up the documentation in 'client_example' (#2468) Update for PR Update ACRONYMS.md to remove trivial terms Update ACRONYMS.md to provide detailed explanations for BF16 and BF8 formats Apply suggestion from @spolifroni-amd Co-authored-by: spolifroni-amd <Sandra.Polifroni@amd.com> Apply suggestion from @spolifroni-amd Co-authored-by: spolifroni-amd <Sandra.Polifroni@amd.com> Update README.md to clarify CK Tile API description and remove outdated references to the Tile Engine. revise 37_transpose readme revise 36_copy readme Remove references to the Tile Engine in README files for 19_gemm_multi_d and 35_batched_transpose, and update distribution links for clarity. Remove references to the Tile Engine in multiple README files and update distribution links for consistency and clarity. Remove references to the Tile Engine in README files across multiple examples * GH-2368 Adding a basic glossary GH-2368 Minor edits GH-2368 Adding missing READMEs and standardization. resolving readme updates GH-2368 Minor improvements to documentation. Improving some readmes. Further improvement for readmes. Cleaned up the documentation in 'client_example' (#2468) Update for PR Update ACRONYMS.md to remove trivial terms Update ACRONYMS.md to provide detailed explanations for BF16 and BF8 formats Apply suggestion from @spolifroni-amd Co-authored-by: spolifroni-amd <Sandra.Polifroni@amd.com> Apply suggestion from @spolifroni-amd Co-authored-by: spolifroni-amd <Sandra.Polifroni@amd.com> Update README.md to clarify CK Tile API description and remove outdated references to the Tile Engine. revise 37_transpose readme revise 36_copy readme Remove references to the Tile Engine in README files for 19_gemm_multi_d and 35_batched_transpose, and update distribution links for clarity. Remove references to the Tile Engine in multiple README files and update distribution links for consistency and clarity. Remove references to the Tile Engine in README files across multiple examples Refine README files by removing outdated references to the Tile Engine * Updates based on PR feedback 1 * Updates based on PR feedback 2 * Updates based on PR feedback 3 * Updates based on PR feedback 4 * Updates based on PR feedback 5 * Updates based on PR feedback 6 * Updates based on PR feedback 7 * Updates based on PR feedback 8 * Content Modification of CK Tile Example * Modify the ck_tile gemm config --------- Co-authored-by: AviralGoelAMD <aviral.goel@amd.com> Co-authored-by: ThomasNing <thomas.ning@amd.com>
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2.7 KiB
GEMM with Add, Add, and FastGELU Activation
Theory
This example demonstrates a GEMM operation fused with two addition operations and FastGELU activation. This pattern is used in transformer feed-forward networks and other neural architectures where a linear transformation is followed by bias addition, residual addition, and a non-linear activation.
Mathematical Formulation:
E = \text{FastGELU}((A \times B) + D_0 + D_1)
A: [M, K] input matrixB: [K, N] weight matrixD_0: [N] bias vector (broadcasted)D_1: [M, N] residual tensorE: [M, N] output
FastGELU is an efficient approximation of GELU:
\text{FastGELU}(x) = x \cdot \sigma(1.702 \cdot x)
where \sigma is the sigmoid function.
Algorithmic Background:
- The GEMM result is kept in registers, bias and residual are added, and FastGELU is applied before writing to global memory.
- No intermediate results are written to global memory.
How to Run
Prerequisites
Please follow the instructions in the main Build Guide section as a prerequisite to building and running this example.
Build and run
cd composable_kernel/example/04_gemm_add_add_fastgelu
mkdir build && cd build
cmake -DCMAKE_CXX_COMPILER=/opt/rocm/bin/hipcc ..
make -j
# Example run
./gemm_add_add_fastgelu_xdl -M 2048 -N 8192 -K 2048 --verify=1 --time=1
Source Code Structure
Directory Layout
example/04_gemm_add_add_fastgelu/
├── gemm_add_add_fastgelu_xdl.cpp # Main example: sets up, runs, and verifies GEMM+Add+Add+FastGELU
include/ck/tensor_operation/gpu/device/
│ └── device_gemm_multiple_d.hpp # Device-level API for multi-tensor GEMM
include/ck/tensor_operation/gpu/device/impl/
│ └── device_gemm_xdl_cshuffle_v3.hpp # XDL with C-Shuffle epilogue
│ └── device_gemm_fastgelu_impl.hpp # FastGELU-specific implementation
include/ck/tensor_operation/gpu/grid/
│ └── gridwise_gemm_multiple_d_xdl.hpp # Grid-level multi-stage GEMM
include/ck/tensor_operation/gpu/element/
└── element_wise_operation.hpp # Elementwise operation definitions
Key Classes and Functions
- DeviceGemmMultipleD (in
device_gemm_multiple_d.hpp):
Device API for GEMM with multiple auxiliary tensors and fused epilogues. - gridwise_gemm_multiple_d_xdl (in
gridwise_gemm_multiple_d_xdl.hpp):
Implements the tiled/blocking GEMM kernel with multi-stage epilogue. - element_wise_operation (in
element_wise_operation.hpp):
Defines FastGELU and other elementwise operations.
This example demonstrates how Composable Kernel supports complex multi-stage epilogue fusion for advanced neural network architectures.