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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 Update README.md to clarify CK Tile API description and remove outdated references to the Tile Engine.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 Update README.md to clarify CK Tile API description and remove outdated references to the Tile Engine.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 Remove references to the Tile Engine in README files across multiple examples Refine README files by removing outdated references to the Tile Engine * Updates based on PR feedback 1 * Updates based on PR feedback 2 * Updates based on PR feedback 3 * Updates based on PR feedback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>
N-Dimensional Convolution Forward with Bias
Theory
This example demonstrates N-dimensional convolution forward with bias addition. This is a common pattern in convolutional neural networks (CNNs), where a bias term is added to each output channel after the convolution operation.
Mathematical Formulation:
Y[n, c_{out}, o_1, ..., o_n] = \sum_{c_{in}} \sum_{k_1} ... \sum_{k_n} X[n, c_{in}, o_1 + k_1, ..., o_n + k_n] \cdot W[c_{out}, c_{in}, k_1, ..., k_n] + B[c_{out}]
X: [N, C_in, D1, D2, ..., Dn] input tensorW: [C_out, C_in, K1, K2, ..., Kn] weight tensorB: [C_out] bias tensorY: [N, C_out, O1, O2, ..., On] output tensor
Algorithmic Background:
- Composable Kernel implements convolution as an implicit GEMM, with bias addition fused in the epilogue for efficiency.
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/11_convnd_fwd_bias
mkdir build && cd build
cmake -DCMAKE_CXX_COMPILER=/opt/rocm/bin/hipcc ..
make -j
# Example run
./convnd_fwd_bias_xdl --verify=1 --time=1
Source Code Structure
Directory Layout
example/11_convnd_fwd_bias/
├── convnd_fwd_bias_xdl.cpp # Main example: sets up, runs, and verifies N-D convolution with bias
include/ck/tensor_operation/gpu/device/
│ └── device_convnd_fwd_bias.hpp # Device-level convolution API with bias
include/ck/tensor_operation/gpu/device/impl/
│ └── device_convnd_fwd_bias_impl.hpp # Implementation
include/ck/tensor_operation/gpu/grid/
└── gridwise_convnd_fwd_bias.hpp # Grid-level kernel
Key Classes and Functions
- DeviceConvNdFwdBias (in
device_convnd_fwd_bias.hpp):
Device API for N-dimensional convolution with bias. - gridwise_convnd_fwd_bias (in
gridwise_convnd_fwd_bias.hpp):
Implements the tiled/blocking convolution kernel with bias epilogue.
This example demonstrates how Composable Kernel fuses bias addition into the convolution forward pass for efficient CNN layer implementation.