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Make dlpack version easily discoverable by EmilienM · Pull Request #165 · NVIDIA/cudnn-frontend · GitHub
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Create dlpack_version.txt file containing the required dlpack version
and update CMakeLists.txt to read from it instead of hardcoding the
version. This addresses issue #164 by making the dlpack dependency
version easily accessible to users and automated build systems
without requiring manual parsing of CMake files.

Fixes #164

Create dlpack_version.txt file containing the required dlpack version
and update CMakeLists.txt to read from it instead of hardcoding the
version. This addresses issue NVIDIA#164 by making the dlpack dependency
version easily accessible to users and automated build systems
without requiring manual parsing of CMake files.

Fixes NVIDIA#164

Signed-off-by: Emilien Macchi <emacchi@redhat.com>
@Anerudhan Anerudhan merged commit 1669048 into NVIDIA:main Sep 2, 2025
@EmilienM EmilienM deleted the issue_164 branch September 2, 2025 22:18
Anerudhan added a commit that referenced this pull request Sep 4, 2025
## 🚀 Improvements

### 🔹 SDPA
- Improved support checks for **Hopper backward propagation (bprop)** to fix a bug (introduced in `9.11` and fixed in `9.13`) affecting certain large head-dimension combinations of *d_qk* and *d_v*.
- Added support for sink parameter for SDPA opertation. Refer new samples
	- `fp16_fwd_with_sink_token.cpp`
        - `fp16_bwd_with_sink_token.cpp`

### 🔹 Pointwise
- Added beta support for configurable beta for swish

### 🔹 Other Updates
- See PR #163 and #165 for custom DLPack path

✅ Recommended Action: Upgrade to cuDNN Frontend v1.14.1 for full compatibility with cuDNN 9.13.0+, improved SDPA support, additional normalization support, and deviceless graph compilation features.
@Anerudhan Anerudhan mentioned this pull request Sep 4, 2025
Anerudhan added a commit that referenced this pull request Sep 5, 2025
## 🚀 Improvements

### 🔹 SDPA
- Improved support checks for **Hopper backward propagation (bprop)** to fix a bug (introduced in `9.11` and fixed in `9.13`) affecting certain large head-dimension combinations of *d_qk* and *d_v*.
- Added support for sink parameter for SDPA opertation. Refer new samples
	- `fp16_fwd_with_sink_token.cpp`
        - `fp16_bwd_with_sink_token.cpp`

### 🔹 Pointwise
- Added beta support for configurable beta for swish

### 🔹 Other Updates
- See PR #163 and #165 for custom DLPack path

✅ Recommended Action: Upgrade to cuDNN Frontend v1.14.1 for full compatibility with cuDNN 9.13.0+, improved SDPA support, additional normalization support, and deviceless graph compilation features.
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Make the required dlpack version easier to discover

2 participants