f50edc65cd
This version has been deprecated and can now be removed completely since the
last remaining user (Python bindings) migrated to declarative builders.
Several functions in lib/EDSC/Types.cpp construct core IR objects for the C
bindings. Move these functions into lib/EDSC/CoreAPIs.cpp until we decide
where they should live.
This completes the migration from the delayed-construction EDSC to Declarative
Builders.
--
PiperOrigin-RevId: 241716729
104 lines
3.8 KiB
C++
104 lines
3.8 KiB
C++
//===- Types.cpp - Implementations of MLIR Core C APIs --------------------===//
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//
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// Copyright 2019 The MLIR Authors.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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// =============================================================================
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#include "mlir-c/Core.h"
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#include "mlir/IR/AffineMap.h"
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#include "mlir/IR/Attributes.h"
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#include "mlir/IR/Function.h"
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#include "mlir/IR/MLIRContext.h"
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#include "mlir/IR/StandardTypes.h"
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#include "mlir/IR/Types.h"
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#include "mlir/Support/LLVM.h"
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#include "llvm/ADT/StringSwitch.h"
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using namespace mlir;
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mlir_type_t makeScalarType(mlir_context_t context, const char *name,
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unsigned bitwidth) {
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mlir::MLIRContext *c = reinterpret_cast<mlir::MLIRContext *>(context);
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mlir_type_t res =
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llvm::StringSwitch<mlir_type_t>(name)
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.Case("bf16",
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mlir_type_t{mlir::FloatType::getBF16(c).getAsOpaquePointer()})
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.Case("f16",
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mlir_type_t{mlir::FloatType::getF16(c).getAsOpaquePointer()})
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.Case("f32",
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mlir_type_t{mlir::FloatType::getF32(c).getAsOpaquePointer()})
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.Case("f64",
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mlir_type_t{mlir::FloatType::getF64(c).getAsOpaquePointer()})
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.Case("index",
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mlir_type_t{mlir::IndexType::get(c).getAsOpaquePointer()})
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.Case("i",
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mlir_type_t{
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mlir::IntegerType::get(bitwidth, c).getAsOpaquePointer()})
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.Default(mlir_type_t{nullptr});
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if (!res) {
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llvm_unreachable("Invalid type specifier");
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}
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return res;
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}
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mlir_type_t makeMemRefType(mlir_context_t context, mlir_type_t elemType,
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int64_list_t sizes) {
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auto t = mlir::MemRefType::get(
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llvm::ArrayRef<int64_t>(sizes.values, sizes.n),
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mlir::Type::getFromOpaquePointer(elemType),
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{mlir::AffineMap::getMultiDimIdentityMap(
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sizes.n, reinterpret_cast<mlir::MLIRContext *>(context))},
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0);
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return mlir_type_t{t.getAsOpaquePointer()};
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}
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mlir_type_t makeFunctionType(mlir_context_t context, mlir_type_list_t inputs,
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mlir_type_list_t outputs) {
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llvm::SmallVector<mlir::Type, 8> ins(inputs.n), outs(outputs.n);
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for (unsigned i = 0; i < inputs.n; ++i) {
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ins[i] = mlir::Type::getFromOpaquePointer(inputs.types[i]);
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}
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for (unsigned i = 0; i < outputs.n; ++i) {
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outs[i] = mlir::Type::getFromOpaquePointer(outputs.types[i]);
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}
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auto ft = mlir::FunctionType::get(
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ins, outs, reinterpret_cast<mlir::MLIRContext *>(context));
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return mlir_type_t{ft.getAsOpaquePointer()};
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}
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mlir_type_t makeIndexType(mlir_context_t context) {
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auto *ctx = reinterpret_cast<mlir::MLIRContext *>(context);
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auto type = mlir::IndexType::get(ctx);
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return mlir_type_t{type.getAsOpaquePointer()};
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}
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mlir_attr_t makeIntegerAttr(mlir_type_t type, int64_t value) {
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auto ty = Type::getFromOpaquePointer(reinterpret_cast<const void *>(type));
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auto attr = IntegerAttr::get(ty, value);
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return mlir_attr_t{attr.getAsOpaquePointer()};
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}
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mlir_attr_t makeBoolAttr(mlir_context_t context, bool value) {
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auto *ctx = reinterpret_cast<mlir::MLIRContext *>(context);
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auto attr = BoolAttr::get(value, ctx);
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return mlir_attr_t{attr.getAsOpaquePointer()};
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}
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unsigned getFunctionArity(mlir_func_t function) {
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auto *f = reinterpret_cast<mlir::Function *>(function);
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return f->getNumArguments();
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}
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