mirror of
https://github.com/ROCm/composable_kernel.git
synced 2026-04-19 14:29:05 +00:00
92c67a824f
* 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 Update README.md to clarify CK Tile API description and remove outdated references to the Tile Engine.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 Update README.md to clarify CK Tile API description and remove outdated references to the Tile Engine.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 Remove references to the Tile Engine in README files across multiple examples Refine README files by removing outdated references to the Tile Engine * Updates based on PR feedback 1 * Updates based on PR feedback 2 * Updates based on PR feedback 3 * Updates based on PR feedback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>
2.1 KiB
2.1 KiB
2D Layer Normalization Forward
Theory
This example demonstrates 2D layer normalization forward pass. Layer normalization is used in transformers and other neural networks to normalize activations across the feature dimension, improving training stability.
Mathematical Formulation:
Given input X[N, C, H, W]:
- Mean:
\mu = \frac{1}{CHW} \sum_{c,h,w} X_{n,c,h,w} - Variance:
\sigma^2 = \frac{1}{CHW} \sum_{c,h,w} (X_{n,c,h,w} - \mu)^2 - Normalized:
\hat{X}_{n,c,h,w} = \frac{X_{n,c,h,w} - \mu}{\sqrt{\sigma^2 + \epsilon}} - Output:
Y_{n,c,h,w} = \gamma \hat{X}_{n,c,h,w} + \beta
\gamma, \beta are learnable scale and shift parameters.
Algorithmic Background:
- Computes mean and variance per sample (across all features).
- Applies normalization and affine transformation.
- Used in transformer blocks and normalization layers.
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/27_layernorm2d_fwd
mkdir build && cd build
cmake -DCMAKE_CXX_COMPILER=/opt/rocm/bin/hipcc ..
make -j
# Example run
./layernorm2d_fwd_xdl --verify=1 --time=1
Source Code Structure
Directory Layout
example/27_layernorm2d_fwd/
├── layernorm2d_fwd_xdl.cpp # Main example: sets up, runs, and verifies 2D layernorm
include/ck/tensor_operation/gpu/device/
│ └── device_layernorm_fwd.hpp # Device-level layernorm API
include/ck/tensor_operation/gpu/device/impl/
│ └── device_layernorm_fwd_impl.hpp # Implementation
include/ck/tensor_operation/gpu/grid/
└── gridwise_layernorm_fwd.hpp # Grid-level kernel
Key Classes and Functions
- DeviceLayernormFwd (in
device_layernorm_fwd.hpp):
Device API for layer normalization. - gridwise_layernorm_fwd (in
gridwise_layernorm_fwd.hpp):
Implements the tiled/blocking layernorm kernel.
This example demonstrates how Composable Kernel implements efficient layer normalization for transformer and deep learning models.