[Dev][TL] Decouple 3rdparty TileLang Backend with TVM #217
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The select_scheduler function in the dense/__init__.py module has been refactored to use a fine-grained interface. This change provides more flexibility and enables the implementation of high-performance kernels. Update MatmulScheduler class in matmul_tensorcore.py The MatmulScheduler class in the matmul_tensorcore.py module has been updated to calculate the number of threads based on the block size and warp size. This ensures optimal GPU warp configuration for NVIDIA GPUs. Improve test_general_matmul_tilelang_kernel.py The test_general_matmul_tilelang_kernel.py module has been improved to include additional test cases and assertions for correctness.
…_tilelang_kernel.py to use centered random values for input tensors
… ladder ldmatrix propagation
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We came across some segment related bugs during the test. |
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This pull request includes updates to submodule configurations and references. The changes primarily involve adding a new submodule and updating existing submodule references.
Submodule reference updates:
3rdparty/tile-lang: Added a subproject commit reference for the new submodule.3rdparty/tvm: Updated the subproject commit reference to a new commit hash.TODO Items must be done before this pull request be merged: