[DOCS] Documentation Addition (Readme updates) (#2495)

* GH-2368 Adding a basic glossary

GH-2368 Minor edits

GH-2368 Adding missing READMEs and standardization.

resolving readme updates

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Improving some readmes.

Further improvement for readmes.

Cleaned up the documentation in 'client_example' (#2468)

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Update ACRONYMS.md to remove trivial terms

Update ACRONYMS.md to provide detailed explanations for BF16 and BF8 formats

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Co-authored-by: spolifroni-amd <Sandra.Polifroni@amd.com>

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Update README.md to clarify CK Tile API description and remove outdated references to the Tile Engine.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Update README.md to clarify CK Tile API description and remove outdated references to the Tile Engine.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Refine README files by removing outdated references to the Tile Engine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

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* 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>
This commit is contained in:
Vidyasagar Ananthan
2025-10-16 03:10:57 -07:00
committed by GitHub
parent 013ba3c737
commit 92c67a824f
120 changed files with 8188 additions and 221 deletions

View File

@@ -1,4 +1,4 @@
[Back to supported operations](../../../include/ck/README.md)
[Back to supported operations](../../include/ck/README.md)
# Composable Kernel Grouped Convolution
## Grouped Convolution Backward Data
@@ -46,3 +46,56 @@ Table of supported cases by instance factory with fused elementwise operation:
* **Bilinear** - 3D, NHWGC, bf16/fp16/fp32
* **Scale** - 3D, NHWGC, bf16/fp16/fp32
---
## Theory
**Grouped convolution backward data** computes the gradient of the input tensor with respect to the loss, given the output gradient and the weights, for each group independently. This is essential for training CNNs and grouped/expert models.
**Mathematical Formulation:**
For each group $g$:
$$
\text{InputGrad}^g = \text{ConvBwdData}(\text{OutputGrad}^g, \text{Weights}^g)
$$
- Supports 1D, 2D, and 3D grouped convolutions.
- Utilizes implicit GEMM for efficient computation.
- Supports fused elementwise operations (e.g., bilinear, scale).
## How to Run
### Prerequisites
Please follow the instructions in the main [Build Guide](../../README.md#building-ck) section as a prerequisite to building and running this example.
### Build and run
```bash
cd composable_kernel/client_example/10_grouped_convnd_bwd_data
mkdir build && cd build
cmake -DCMAKE_CXX_COMPILER=/opt/rocm/bin/hipcc ..
make -j
# Example run (2D grouped convolution backward data)
./grouped_conv2d_bwd_data
```
## Source Code Structure
### Directory Layout
```
client_example/10_grouped_convnd_bwd_data/
├── grouped_conv1d_bwd_data.cpp # 1D grouped convolution backward data
├── grouped_conv2d_bwd_data.cpp # 2D grouped convolution backward data
├── grouped_conv3d_bwd_data.cpp # 3D grouped convolution backward data
├── CMakeLists.txt # Build configuration for the example
```
### Key Functions
- **main()** (in each `.cpp`):
Sets up input/output tensors, configures grouped convolution parameters, launches the backward data kernel, and verifies the result.
- **Grouped convolution backward kernel invocation**:
Uses the Composable Kernel device API to launch grouped convolution backward data for different dimensions and data types.
This client example provides a comprehensive demonstration of grouped convolution backward data for efficient CNN and vision transformer training.