| // Copyright 2022 The IREE Authors |
| // |
| // Licensed under the Apache License v2.0 with LLVM Exceptions. |
| // See https://llvm.org/LICENSE.txt for license information. |
| // SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception |
| |
| #ifndef IREE_COMPILER_PLUGINS_INPUT_TORCH_INPUTCONVERSION_PASSES |
| #define IREE_COMPILER_PLUGINS_INPUT_TORCH_INPUTCONVERSION_PASSES |
| |
| include "mlir/Pass/PassBase.td" |
| |
| def BindSymbolicShapesPass : |
| InterfacePass<"torch-iree-bind-symbolic-shapes", "mlir::FunctionOpInterface"> { |
| let summary = "Process torch dynamic shape bindings into IREE analyzable forms"; |
| } |
| |
| def BitCastTensorPass : |
| InterfacePass<"torch-iree-bitcast-tensor", "mlir::FunctionOpInterface"> { |
| let summary = "Bitcasts i8 packed tensors of sub-byte types to the actual bit width"; |
| } |
| |
| def ConvertTMTensorToLinalgExtPass : |
| InterfacePass<"torch-iree-tm-tensor-to-linalg-ext", "mlir::FunctionOpInterface"> { |
| let summary = "Convert from TMTensor ops to LinalgExt ops on tensors"; |
| } |
| |
| def ConvertTorchUnstructuredToLinalgExtPass : |
| InterfacePass<"torch-iree-torch-unstructured-to-linalg-ext", "mlir::FunctionOpInterface"> { |
| let summary = "Convert unstructured Torch ops to LinalgExt ops"; |
| } |
| |
| def SetStrictSymbolicShapesPass : |
| InterfacePass<"torch-iree-set-strict-symbolic-shapes", "mlir::FunctionOpInterface"> { |
| let summary = "Adds the attribute indicating strict symbolic shapes in Torch IR"; |
| } |
| |
| def FuncConversionPass : |
| Pass<"torch-iree-func-conversion", "ModuleOp"> { |
| let summary = "Finalizes conversion from torch to IREE"; |
| let description = [{ |
| Conversion pass for finalizing functions and ABI. Replaces the generic |
| torch-func-backend-type-conversion pass. |
| }]; |
| } |
| |
| #endif // IREE_COMPILER_PLUGINS_INPUT_TORCH_INPUTCONVERSION_PASSES |
