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bump llvm tag to 3580daa (#1078) 

This patch makes some rudimentary changes to torch-mlir's use of MLIR
Python bindings to work with the most recent LLVM code.  We can perhaps
do better by being more selective in what we link against, instead of
using `MLIRPythonExtension.RegisterEverything`.
pull/1081/head
Ashay Rane 2022-07-18 16:49:03 -07:00 committed by GitHub
parent df0b1e77a4
commit 7f08169380
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8 changed files with 3 additions and 10 deletions
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2
externals/llvm-project vendored

@ -1 +1 @@
Subproject commit 889c6f3996769a991a24da957f597e7500d158e7 Subproject commit 3580daacf3ecb9bc628d05a4037266df6532ad6e

2
include/torch-mlir-c/Dialects.h
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@ -10,7 +10,7 @@
#ifndef TORCHMLIR_C_DIALECTS_H #ifndef TORCHMLIR_C_DIALECTS_H
#define TORCHMLIR_C_DIALECTS_H #define TORCHMLIR_C_DIALECTS_H
#include "mlir-c/Registration.h" #include "mlir-c/IR.h"
#ifdef __cplusplus #ifdef __cplusplus
extern "C" { extern "C" {

2
python/CMakeLists.txt
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@ -110,7 +110,7 @@ set(_source_components
# tree, which seems excessive. # tree, which seems excessive.
MLIRPythonSources MLIRPythonSources
MLIRPythonExtension.Core MLIRPythonExtension.Core
MLIRPythonExtension.AllPassesRegistration MLIRPythonExtension.RegisterEverything
MLIRPythonExtension.ExecutionEngine MLIRPythonExtension.ExecutionEngine
TorchMLIRPythonSources TorchMLIRPythonSources
TorchMLIRPythonExtensions TorchMLIRPythonExtensions

1
python/TorchMLIRModule.cpp
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@ -8,7 +8,6 @@
//===----------------------------------------------------------------------===// //===----------------------------------------------------------------------===//
#include "mlir-c/Bindings/Python/Interop.h" #include "mlir-c/Bindings/Python/Interop.h"
#include "mlir-c/Registration.h"
#include "mlir/Bindings/Python/PybindAdaptors.h" #include "mlir/Bindings/Python/PybindAdaptors.h"
#include "torch-mlir-c/Dialects.h" #include "torch-mlir-c/Dialects.h"
#include "torch-mlir-c/Registration.h" #include "torch-mlir-c/Registration.h"

1
python/torch_mlir/dialects/torch/importer/jit_ir/build_tools/shape_lib_gen.py
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@ -18,7 +18,6 @@ import torch.jit._shape_functions as upstream_shape_functions
from torch_mlir.dialects.torch.importer.jit_ir import ModuleBuilder from torch_mlir.dialects.torch.importer.jit_ir import ModuleBuilder
from torch_mlir.passmanager import PassManager from torch_mlir.passmanager import PassManager
import torch_mlir.all_passes_registration
from .registry import Registry from .registry import Registry

1
python/torch_mlir/dialects/torch/importer/jit_ir/csrc/module_builder.cpp
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@ -17,7 +17,6 @@
#include "mlir-c/BuiltinAttributes.h" #include "mlir-c/BuiltinAttributes.h"
#include "mlir-c/BuiltinTypes.h" #include "mlir-c/BuiltinTypes.h"
#include "mlir-c/Diagnostics.h" #include "mlir-c/Diagnostics.h"
#include "mlir-c/Registration.h"
#include "torch-mlir-c/Registration.h" #include "torch-mlir-c/Registration.h"
namespace py = pybind11; namespace py = pybind11;

2
python/torch_mlir_e2e_test/linalg_on_tensors_backends/refbackend.py
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@ -10,8 +10,6 @@ from torch_mlir.ir import *
from torch_mlir.passmanager import * from torch_mlir.passmanager import *
from torch_mlir.execution_engine import * from torch_mlir.execution_engine import *
from torch_mlir.runtime import * from torch_mlir.runtime import *
# Imported for side effects.
import torch_mlir.all_passes_registration
import torch_mlir.dialects.torch import torch_mlir.dialects.torch
from torch_mlir.compiler_utils import run_pipeline_with_repro_report from torch_mlir.compiler_utils import run_pipeline_with_repro_report

2
python/torch_mlir_e2e_test/tosa_backends/linalg_on_tensors.py
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@ -5,8 +5,6 @@
from torch_mlir.ir import * from torch_mlir.ir import *
from torch_mlir.passmanager import * from torch_mlir.passmanager import *
# Imported for side effects.
import torch_mlir.all_passes_registration
from torch_mlir.compiler_utils import run_pipeline_with_repro_report from torch_mlir.compiler_utils import run_pipeline_with_repro_report
from torch_mlir_e2e_test.linalg_on_tensors_backends.refbackend import RefBackendLinalgOnTensorsBackend from torch_mlir_e2e_test.linalg_on_tensors_backends.refbackend import RefBackendLinalgOnTensorsBackend