mirror of https://github.com/llvm/torch-mlir
Move files out of TorchPlugin/csrc/builder/ directory.
It was an unnecessary layer of indirection -- there was nothing outside of it, and it was just harder to follow the structure.pull/309/head
parent
8d27c41f21
commit
b738db34cd
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@ -13,14 +13,13 @@ include_directories(BEFORE
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link_directories("${TORCH_INSTALL_PREFIX}/lib")
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add_library(TorchMLIRTorchPlugin SHARED
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builder/class_annotator.cpp
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builder/function_importer.cpp
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builder/module_builder.cpp
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builder/node_importer.cpp
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builder/ivalue_importer.cpp
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builder/python_bindings.cpp
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builder/torch_to_mlir_utils.cpp
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init_python_bindings.cpp
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class_annotator.cpp
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function_importer.cpp
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module_builder.cpp
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node_importer.cpp
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ivalue_importer.cpp
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python_bindings.cpp
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torch_to_mlir_utils.cpp
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)
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target_link_libraries(TorchMLIRTorchPlugin
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@ -34,13 +34,12 @@ static std::string indentString(const std::string &linePrefix,
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//===----------------------------------------------------------------------===//
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ClassAnnotation::ClassAnnotation(c10::ClassTypePtr classType)
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: classType(classType) {
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: classType(classType) {
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attributeAnnotations.resize(classType->getAttributes().size());
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methodAnnotations.resize(classType->methods().size());
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}
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std::vector<AttributeAnnotation> &
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ClassAnnotation::getAttributeAnnotations() {
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std::vector<AttributeAnnotation> &ClassAnnotation::getAttributeAnnotations() {
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// Halfhearted attempt to ensure consistency if the class type has
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// been mutated.
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//
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@ -53,8 +52,7 @@ ClassAnnotation::getAttributeAnnotations() {
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return attributeAnnotations;
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}
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std::vector<MethodAnnotation> &
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ClassAnnotation::getMethodAnnotations() {
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std::vector<MethodAnnotation> &ClassAnnotation::getMethodAnnotations() {
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// Halfhearted attempt to ensure consistency if the class type has
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// been mutated.
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//
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@ -80,7 +78,8 @@ static void exportNoneRecurse(ClassAnnotator &classAnnotator,
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methodAnnotation.isExported = false;
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}
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for (auto &classAttribute : classType->getAttributes()) {
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if (auto childClassType = classAttribute.getType()->cast<c10::ClassType>()) {
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if (auto childClassType =
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classAttribute.getType()->cast<c10::ClassType>()) {
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exportNoneRecurse(classAnnotator, childClassType.get());
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}
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}
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@ -198,10 +197,9 @@ void ClassAnnotator::annotateArgs(c10::ClassType &rootClassType,
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throw std::invalid_argument("Empty annotated path. Can only annotate "
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"shapes/dtypes of a method of a class.");
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}
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c10::ClassType *classType =
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getClassAtPath(&rootClassType, c10::ArrayRef<std::string>(path)
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.slice(0, path.size() - 1)
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.vec());
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c10::ClassType *classType = getClassAtPath(
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&rootClassType,
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c10::ArrayRef<std::string>(path).slice(0, path.size() - 1).vec());
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// Throw error if no method on the class of the specified name.
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torch::jit::Function *function = &classType->getMethod(path.back());
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@ -21,7 +21,7 @@
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#ifndef TORCHMLIRPLUGIN_CSRC_CLASS_ANNOTATOR_H
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#define TORCHMLIRPLUGIN_CSRC_CLASS_ANNOTATOR_H
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#include "../pybind.h"
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#include "pybind.h"
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namespace torch_mlir {
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@ -10,8 +10,8 @@
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#include <memory>
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#include "../pybind.h"
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#include "node_importer.h"
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#include "pybind.h"
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#include "mlir-c/IR.h"
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@ -40,9 +40,7 @@ namespace torch_mlir {
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MlirOperation importJitFunctionAsFuncOp(
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MlirContext context, torch::jit::Function *function,
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std::function<MlirAttribute(int)> getArgAttribute =
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[](int) -> MlirAttribute {
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return {nullptr};
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});
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[](int) -> MlirAttribute { return {nullptr}; });
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} // namespace torch_mlir
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@ -19,8 +19,8 @@
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#include "mlir-c/Diagnostics.h"
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#include "torch-mlir-c/TorchTypes.h"
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#include "caffe2/core/scope_guard.h"
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#include "ATen/native/quantized/cpu/packed_params.h"
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#include "caffe2/core/scope_guard.h"
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using namespace torch_mlir;
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@ -149,8 +149,7 @@ private:
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};
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} // namespace
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MlirValue
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IValueImporter::importModule(torch::jit::Module currentModule) {
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MlirValue IValueImporter::importModule(torch::jit::Module currentModule) {
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// TODO: Can we do better?
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MlirLocation loc = mlirLocationUnknownGet(context);
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@ -10,8 +10,8 @@
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#include <memory>
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#include "../pybind.h"
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#include "class_annotator.h"
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#include "pybind.h"
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#include "mlir-c/IR.h"
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@ -8,7 +8,7 @@
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#ifndef TORCHMLIRPLUGIN_CSRC_BUILDER_H
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#define TORCHMLIRPLUGIN_CSRC_BUILDER_H
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#include "../pybind.h"
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#include "pybind.h"
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#include "class_annotator.h"
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@ -211,8 +211,8 @@ void NodeImporter::importNode(Node *node, MlirBlock appendToBlock) {
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appendToBlock, "torch.prim.If", loc, lookupMappedValue(node->input()),
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resultTypes, mlirRegionCreate(), mlirRegionCreate());
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mapResults(node, operation);
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auto createTerminator =
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[&](c10::ArrayRef<MlirValue> yieldedValues, MlirBlock appendToBlock) {
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auto createTerminator = [&](c10::ArrayRef<MlirValue> yieldedValues,
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MlirBlock appendToBlock) {
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createMlirOperationAtEnd(
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appendToBlock, "torch.prim.If.yield", loc,
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derefineValues(yieldedValues, resultTypes, loc, appendToBlock));
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@ -10,7 +10,7 @@
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#include <memory>
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#include "../pybind.h"
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#include "pybind.h"
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#include "mlir-c/IR.h"
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@ -5,13 +5,12 @@
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//
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//===----------------------------------------------------------------------===//
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#include "../pybind.h"
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// This is the top-level entry point for the MLIR <-> PyTorch bridge.
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#include <ATen/core/dispatch/Dispatcher.h>
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#include "../init_python_bindings.h"
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#include "module_builder.h"
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#include "class_annotator.h"
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#include "module_builder.h"
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using namespace torch_mlir;
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namespace py = pybind11;
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@ -122,7 +121,7 @@ py::list GetRegisteredOps() {
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} // namespace
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void torch_mlir::InitBuilderBindings(py::module &m) {
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PYBIND11_MODULE(_torch_mlir, m) {
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m.def("get_registered_ops", &GetRegisteredOps, kGetRegisteredOpsDocstring);
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ModuleBuilder::bind(m);
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initClassAnnotatorBindings(m);
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@ -10,7 +10,7 @@
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#include <memory>
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#include "../pybind.h"
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#include "pybind.h"
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#include "mlir-c/IR.h"
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