Add causal_conv1d 1.7.0+cu129torch2.8 (Linux x86_64)

Built in-house from unmodified Dao-AILab/causal-conv1d v1.7.0 (cd81f041),
compiled from source (CAUSAL_CONV1D_FORCE_BUILD=TRUE), not a renamed
upstream wheel. CPython 3.11, torch 2.8.0+cu129, CUDA 12.9, GCC 13.3.
Debug info stripped. Requires glibc >= 2.32.

Verified against the previous in-house build of the same source: forward,
input grad, update and conv state bit-identical on 108 cases (fp32/fp16/bf16,
widths 2-4, silu/none, with/without bias). Weight/bias grads at the largest
shape are nondeterministic in both builds with the same spread (4.4e-5 rel).

sha256 a882b1c262ec7d9375feeb39d0543871adf08f3af4d8282a221f17421459e3f8

.gitattributes

@@ -50,3 +50,4 @@ image_server_kernels-0.4.2+cu128torch2.8-cp311-cp311-win_amd64.whl filter=lfs di
 image_server_kernels-0.4.2+cu129torch2.8-cp311-cp311-linux_x86_64.whl filter=lfs diff=lfs merge=lfs -text
 image_server_kernels-0.4.3+cu128torch2.8-cp311-cp311-win_amd64.whl filter=lfs diff=lfs merge=lfs -text
 image_server_kernels-0.4.3+cu129torch2.8-cp311-cp311-linux_x86_64.whl filter=lfs diff=lfs merge=lfs -text
+causal_conv1d-1.7.0+cu129torch2.8-cp311-cp311-linux_x86_64.whl filter=lfs diff=lfs merge=lfs -text

README.md

@@ -30,6 +30,7 @@ Prebuilt Python 3.11 wheels.
 | `q8_kernels-0.0.5-cp311-cp311-linux_x86_64.whl` | Linux x86_64 | 12.8 | 2.8 | built by us | Used by LTX video |
 | `sageattention-2.2.0+cu128torch2.8.0-cp311-cp311-win_amd64.whl` | Windows x64 | 12.8 | 2.8 | [woct0rdho/SageAttention](https://github.com/woct0rdho/SageAttention/releases/tag/v2.2.0-windows) | Mirror of upstream release |
 | `sageattention-2.2.0+cu129torch2.8-cp311-cp311-linux_x86_64.whl` | Linux x86_64 | 12.9 | 2.8 | — | |
+| `causal_conv1d-1.7.0+cu129torch2.8-cp311-cp311-linux_x86_64.whl` | Linux x86_64 | 12.9 | 2.8 | built by us | Fused causal conv1d for Gated DeltaNet models. Built from unmodified upstream v1.7.0 source. No Windows build |
 | `flash_attn-2.8.2+cu128torch2.8-cp311-cp311-win_amd64.whl` | Windows x64 | 12.8 | 2.8 | [mjun0812/flash-attention-prebuild-wheels](https://github.com/mjun0812/flash-attention-prebuild-wheels/releases/tag/v0.4.10) | Mirror of upstream release |
 | `flash_attn-2.8.3+cu130torch2.10-cp311-cp311-win_amd64.whl` | Windows x64 | 13.0 | 2.10 | [mjun0812/flash-attention-prebuild-wheels](https://github.com/mjun0812/flash-attention-prebuild-wheels) | Mirror of upstream release |
 | `flash_attn-2.8.3+cu128torch2.8-cp311-cp311-linux_x86_64.whl` | Linux x86_64 | 12.8 | 2.8 | [mjun0812/flash-attention-prebuild-wheels](https://github.com/mjun0812/flash-attention-prebuild-wheels/releases/tag/v0.7.16) | Mirror of upstream release |
@@ -53,6 +54,7 @@ pip install $BASE/image_server_kernels-0.4.3+cu129torch2.8-cp311-cp311-linux_x86
 pip install $BASE/q8_kernels-0.0.5-cp311-cp311-linux_x86_64.whl
 pip install $BASE/block_sparse_attn-0.0.2-cp311-cp311-linux_x86_64.whl
 pip install $BASE/sageattention-2.2.0+cu129torch2.8-cp311-cp311-linux_x86_64.whl
+pip install --no-deps $BASE/causal_conv1d-1.7.0+cu129torch2.8-cp311-cp311-linux_x86_64.whl
 pip install --no-deps $BASE/flash_attn-2.8.3+cu128torch2.8-cp311-cp311-linux_x86_64.whl
 ```
 
@@ -80,3 +82,9 @@ do not break if upstream release URLs change.
 
 The remaining wheels (`ace_step`, `qwen_tts`, `image_server_kernels`,
 `block_sparse_attn`, `q8_kernels`) were built in-house.
+
+The Linux `causal_conv1d` wheel is built in-house from the unmodified source of
+[Dao-AILab/causal-conv1d](https://github.com/Dao-AILab/causal-conv1d/tree/v1.7.0) v1.7.0
+(BSD-3-Clause, copyright the causal-conv1d contributors). Its `LICENSE` and `AUTHORS`
+ship inside the wheel under `dist-info/licenses/`. All credit for the library goes to
+its authors.

causal_conv1d-1.7.0+cu129torch2.8-cp311-cp311-linux_x86_64.whl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a882b1c262ec7d9375feeb39d0543871adf08f3af4d8282a221f17421459e3f8
+size 193465710