Related Issues (20)
- [DT] Dependency graph of data-tiling fusion and GPU data-tiling issues
- Merge `round_dims_to` and `matmul_narrow_{M,N}` into a single `max_padding` array attribute
- Assertion `input.size() == permutation.size() && "expected input rank to equal permutation rank"' failed HOT 6
- Build fails due to "LLVM ERROR: can't create Attribute 'mlir::iree_compiler::IREE::GPU::ComputeBitwidthsAttr' because storage uniquer isn't initialized: the dialect was likely not loaded, or the attribute wasn't added with addAttributes<...>() in the Dialect::initialize() method." HOT 2
- Refactor `check` dialect to support multiple devices via `hal.tensor.device`.
- dominance-related failure occurs when compiling an opt model HOT 3
- expand_shape fails to compile with more than one dynamic dim in a reassoc group
- ASAN issues on hip / rocm runtime HOT 3
- SinkAwaitToFirstConsumer hitting assertion while compiling Gemma
- why torch-to-iree pass generate func named main$async automatically? HOT 5
- ONNX Test failures after LLVM integrate
- LLVM Integrate compile failure HOT 3
- [VMVX] Missing support for arith.maxnumf and arith.minnumf HOT 2
- iree-compile failures with n-D vector.bitcast ops HOT 4
- Support for MLIR based μkernels on GPU backends HOT 17
- iree-compile complain an error when trying to compile botnet26t_256_Opset16
- Failed to compile Transformer model
- Failed to legalize torch.operator "onnx.Expand" HOT 2
- tensor.extract operand #0 does not dominate this use HOT 1
- (rocm/wmma) GFX1100 - SDXL CLIP compilation fails trying to use a wmma intrinsic that accumulates in f16 HOT 1
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