67d0d7ac0a
The patch introduces the required changes to update the pass declarations and definitions to use the new autogenerated files and allow dropping the old infrastructure. Reviewed By: mehdi_amini, rriddle Differential Review: https://reviews.llvm.org/D132838
990 lines
39 KiB
C++
990 lines
39 KiB
C++
//===- ArithmeticToSPIRV.cpp - Arithmetic to SPIRV dialect conversion -----===//
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//
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// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
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// See https://llvm.org/LICENSE.txt for license information.
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// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
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//
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//===----------------------------------------------------------------------===//
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#include "mlir/Conversion/ArithmeticToSPIRV/ArithmeticToSPIRV.h"
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#include "../SPIRVCommon/Pattern.h"
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#include "mlir/Conversion/FuncToSPIRV/FuncToSPIRV.h"
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#include "mlir/Dialect/Arithmetic/IR/Arithmetic.h"
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#include "mlir/Dialect/SPIRV/IR/SPIRVDialect.h"
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#include "mlir/Dialect/SPIRV/IR/SPIRVOps.h"
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#include "mlir/Dialect/SPIRV/IR/SPIRVTypes.h"
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#include "mlir/Dialect/SPIRV/Transforms/SPIRVConversion.h"
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#include "mlir/IR/BuiltinAttributes.h"
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#include "mlir/IR/BuiltinTypes.h"
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#include "llvm/ADT/ArrayRef.h"
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#include "llvm/Support/Debug.h"
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namespace mlir {
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#define GEN_PASS_DEF_CONVERTARITHMETICTOSPIRV
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#include "mlir/Conversion/Passes.h.inc"
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} // namespace mlir
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#define DEBUG_TYPE "arith-to-spirv-pattern"
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using namespace mlir;
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//===----------------------------------------------------------------------===//
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// Operation Conversion
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//===----------------------------------------------------------------------===//
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namespace {
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/// Converts composite arith.constant operation to spv.Constant.
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struct ConstantCompositeOpPattern final
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: public OpConversionPattern<arith::ConstantOp> {
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using OpConversionPattern<arith::ConstantOp>::OpConversionPattern;
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LogicalResult
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matchAndRewrite(arith::ConstantOp op, OpAdaptor adaptor,
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ConversionPatternRewriter &rewriter) const override;
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};
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/// Converts scalar arith.constant operation to spv.Constant.
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struct ConstantScalarOpPattern final
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: public OpConversionPattern<arith::ConstantOp> {
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using OpConversionPattern<arith::ConstantOp>::OpConversionPattern;
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LogicalResult
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matchAndRewrite(arith::ConstantOp op, OpAdaptor adaptor,
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ConversionPatternRewriter &rewriter) const override;
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};
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/// Converts arith.remsi to GLSL SPIR-V ops.
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///
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/// This cannot be merged into the template unary/binary pattern due to Vulkan
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/// restrictions over spv.SRem and spv.SMod.
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struct RemSIOpGLPattern final : public OpConversionPattern<arith::RemSIOp> {
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using OpConversionPattern<arith::RemSIOp>::OpConversionPattern;
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LogicalResult
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matchAndRewrite(arith::RemSIOp op, OpAdaptor adaptor,
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ConversionPatternRewriter &rewriter) const override;
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};
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/// Converts arith.remsi to OpenCL SPIR-V ops.
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struct RemSIOpCLPattern final : public OpConversionPattern<arith::RemSIOp> {
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using OpConversionPattern<arith::RemSIOp>::OpConversionPattern;
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LogicalResult
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matchAndRewrite(arith::RemSIOp op, OpAdaptor adaptor,
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ConversionPatternRewriter &rewriter) const override;
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};
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/// Converts bitwise operations to SPIR-V operations. This is a special pattern
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/// other than the BinaryOpPatternPattern because if the operands are boolean
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/// values, SPIR-V uses different operations (`SPIRVLogicalOp`). For
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/// non-boolean operands, SPIR-V should use `SPIRVBitwiseOp`.
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template <typename Op, typename SPIRVLogicalOp, typename SPIRVBitwiseOp>
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struct BitwiseOpPattern final : public OpConversionPattern<Op> {
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using OpConversionPattern<Op>::OpConversionPattern;
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LogicalResult
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matchAndRewrite(Op op, typename Op::Adaptor adaptor,
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ConversionPatternRewriter &rewriter) const override;
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};
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/// Converts arith.xori to SPIR-V operations.
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struct XOrIOpLogicalPattern final : public OpConversionPattern<arith::XOrIOp> {
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using OpConversionPattern<arith::XOrIOp>::OpConversionPattern;
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LogicalResult
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matchAndRewrite(arith::XOrIOp op, OpAdaptor adaptor,
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ConversionPatternRewriter &rewriter) const override;
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};
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/// Converts arith.xori to SPIR-V operations if the type of source is i1 or
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/// vector of i1.
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struct XOrIOpBooleanPattern final : public OpConversionPattern<arith::XOrIOp> {
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using OpConversionPattern<arith::XOrIOp>::OpConversionPattern;
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LogicalResult
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matchAndRewrite(arith::XOrIOp op, OpAdaptor adaptor,
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ConversionPatternRewriter &rewriter) const override;
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};
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/// Converts arith.uitofp to spv.Select if the type of source is i1 or vector of
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/// i1.
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struct UIToFPI1Pattern final : public OpConversionPattern<arith::UIToFPOp> {
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using OpConversionPattern<arith::UIToFPOp>::OpConversionPattern;
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LogicalResult
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matchAndRewrite(arith::UIToFPOp op, OpAdaptor adaptor,
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ConversionPatternRewriter &rewriter) const override;
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};
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/// Converts arith.extui to spv.Select if the type of source is i1 or vector of
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/// i1.
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struct ExtUII1Pattern final : public OpConversionPattern<arith::ExtUIOp> {
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using OpConversionPattern<arith::ExtUIOp>::OpConversionPattern;
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LogicalResult
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matchAndRewrite(arith::ExtUIOp op, OpAdaptor adaptor,
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ConversionPatternRewriter &rewriter) const override;
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};
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/// Converts arith.trunci to spv.Select if the type of result is i1 or vector of
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/// i1.
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struct TruncII1Pattern final : public OpConversionPattern<arith::TruncIOp> {
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using OpConversionPattern<arith::TruncIOp>::OpConversionPattern;
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LogicalResult
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matchAndRewrite(arith::TruncIOp op, OpAdaptor adaptor,
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ConversionPatternRewriter &rewriter) const override;
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};
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/// Converts type-casting standard operations to SPIR-V operations.
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template <typename Op, typename SPIRVOp>
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struct TypeCastingOpPattern final : public OpConversionPattern<Op> {
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using OpConversionPattern<Op>::OpConversionPattern;
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LogicalResult
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matchAndRewrite(Op op, typename Op::Adaptor adaptor,
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ConversionPatternRewriter &rewriter) const override;
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};
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/// Converts integer compare operation on i1 type operands to SPIR-V ops.
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class CmpIOpBooleanPattern final : public OpConversionPattern<arith::CmpIOp> {
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public:
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using OpConversionPattern<arith::CmpIOp>::OpConversionPattern;
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LogicalResult
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matchAndRewrite(arith::CmpIOp op, OpAdaptor adaptor,
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ConversionPatternRewriter &rewriter) const override;
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};
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/// Converts integer compare operation to SPIR-V ops.
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class CmpIOpPattern final : public OpConversionPattern<arith::CmpIOp> {
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public:
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using OpConversionPattern<arith::CmpIOp>::OpConversionPattern;
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LogicalResult
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matchAndRewrite(arith::CmpIOp op, OpAdaptor adaptor,
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ConversionPatternRewriter &rewriter) const override;
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};
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/// Converts floating-point comparison operations to SPIR-V ops.
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class CmpFOpPattern final : public OpConversionPattern<arith::CmpFOp> {
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public:
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using OpConversionPattern<arith::CmpFOp>::OpConversionPattern;
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LogicalResult
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matchAndRewrite(arith::CmpFOp op, OpAdaptor adaptor,
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ConversionPatternRewriter &rewriter) const override;
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};
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/// Converts floating point NaN check to SPIR-V ops. This pattern requires
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/// Kernel capability.
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class CmpFOpNanKernelPattern final : public OpConversionPattern<arith::CmpFOp> {
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public:
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using OpConversionPattern<arith::CmpFOp>::OpConversionPattern;
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LogicalResult
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matchAndRewrite(arith::CmpFOp op, OpAdaptor adaptor,
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ConversionPatternRewriter &rewriter) const override;
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};
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/// Converts floating point NaN check to SPIR-V ops. This pattern does not
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/// require additional capability.
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class CmpFOpNanNonePattern final : public OpConversionPattern<arith::CmpFOp> {
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public:
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using OpConversionPattern<arith::CmpFOp>::OpConversionPattern;
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LogicalResult
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matchAndRewrite(arith::CmpFOp op, OpAdaptor adaptor,
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ConversionPatternRewriter &rewriter) const override;
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};
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/// Converts arith.addui_carry to spv.IAddCarry.
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class AddICarryOpPattern final
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: public OpConversionPattern<arith::AddUICarryOp> {
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public:
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using OpConversionPattern<arith::AddUICarryOp>::OpConversionPattern;
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LogicalResult
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matchAndRewrite(arith::AddUICarryOp op, OpAdaptor adaptor,
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ConversionPatternRewriter &rewriter) const override;
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};
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/// Converts arith.select to spv.Select.
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class SelectOpPattern final : public OpConversionPattern<arith::SelectOp> {
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public:
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using OpConversionPattern<arith::SelectOp>::OpConversionPattern;
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LogicalResult
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matchAndRewrite(arith::SelectOp op, OpAdaptor adaptor,
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ConversionPatternRewriter &rewriter) const override;
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};
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} // namespace
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//===----------------------------------------------------------------------===//
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// Conversion Helpers
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//===----------------------------------------------------------------------===//
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/// Converts the given `srcAttr` into a boolean attribute if it holds an
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/// integral value. Returns null attribute if conversion fails.
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static BoolAttr convertBoolAttr(Attribute srcAttr, Builder builder) {
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if (auto boolAttr = srcAttr.dyn_cast<BoolAttr>())
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return boolAttr;
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if (auto intAttr = srcAttr.dyn_cast<IntegerAttr>())
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return builder.getBoolAttr(intAttr.getValue().getBoolValue());
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return BoolAttr();
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}
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/// Converts the given `srcAttr` to a new attribute of the given `dstType`.
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/// Returns null attribute if conversion fails.
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static IntegerAttr convertIntegerAttr(IntegerAttr srcAttr, IntegerType dstType,
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Builder builder) {
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// If the source number uses less active bits than the target bitwidth, then
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// it should be safe to convert.
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if (srcAttr.getValue().isIntN(dstType.getWidth()))
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return builder.getIntegerAttr(dstType, srcAttr.getInt());
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// XXX: Try again by interpreting the source number as a signed value.
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// Although integers in the standard dialect are signless, they can represent
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// a signed number. It's the operation decides how to interpret. This is
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// dangerous, but it seems there is no good way of handling this if we still
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// want to change the bitwidth. Emit a message at least.
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if (srcAttr.getValue().isSignedIntN(dstType.getWidth())) {
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auto dstAttr = builder.getIntegerAttr(dstType, srcAttr.getInt());
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LLVM_DEBUG(llvm::dbgs() << "attribute '" << srcAttr << "' converted to '"
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<< dstAttr << "' for type '" << dstType << "'\n");
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return dstAttr;
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}
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LLVM_DEBUG(llvm::dbgs() << "attribute '" << srcAttr
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<< "' illegal: cannot fit into target type '"
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<< dstType << "'\n");
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return IntegerAttr();
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}
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/// Converts the given `srcAttr` to a new attribute of the given `dstType`.
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/// Returns null attribute if `dstType` is not 32-bit or conversion fails.
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static FloatAttr convertFloatAttr(FloatAttr srcAttr, FloatType dstType,
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Builder builder) {
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// Only support converting to float for now.
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if (!dstType.isF32())
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return FloatAttr();
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// Try to convert the source floating-point number to single precision.
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APFloat dstVal = srcAttr.getValue();
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bool losesInfo = false;
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APFloat::opStatus status =
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dstVal.convert(APFloat::IEEEsingle(), APFloat::rmTowardZero, &losesInfo);
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if (status != APFloat::opOK || losesInfo) {
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LLVM_DEBUG(llvm::dbgs()
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<< srcAttr << " illegal: cannot fit into converted type '"
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<< dstType << "'\n");
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return FloatAttr();
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}
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return builder.getF32FloatAttr(dstVal.convertToFloat());
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}
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/// Returns true if the given `type` is a boolean scalar or vector type.
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static bool isBoolScalarOrVector(Type type) {
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if (type.isInteger(1))
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return true;
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if (auto vecType = type.dyn_cast<VectorType>())
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return vecType.getElementType().isInteger(1);
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return false;
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}
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/// Returns true if scalar/vector type `a` and `b` have the same number of
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/// bitwidth.
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static bool hasSameBitwidth(Type a, Type b) {
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auto getNumBitwidth = [](Type type) {
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unsigned bw = 0;
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if (type.isIntOrFloat())
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bw = type.getIntOrFloatBitWidth();
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else if (auto vecType = type.dyn_cast<VectorType>())
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bw = vecType.getElementTypeBitWidth() * vecType.getNumElements();
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return bw;
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};
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unsigned aBW = getNumBitwidth(a);
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unsigned bBW = getNumBitwidth(b);
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return aBW != 0 && bBW != 0 && aBW == bBW;
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}
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//===----------------------------------------------------------------------===//
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// ConstantOp with composite type
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//===----------------------------------------------------------------------===//
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LogicalResult ConstantCompositeOpPattern::matchAndRewrite(
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arith::ConstantOp constOp, OpAdaptor adaptor,
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ConversionPatternRewriter &rewriter) const {
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auto srcType = constOp.getType().dyn_cast<ShapedType>();
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if (!srcType || srcType.getNumElements() == 1)
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return failure();
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// arith.constant should only have vector or tenor types.
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assert((srcType.isa<VectorType, RankedTensorType>()));
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auto dstType = getTypeConverter()->convertType(srcType);
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if (!dstType)
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return failure();
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auto dstElementsAttr = constOp.getValue().dyn_cast<DenseElementsAttr>();
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if (!dstElementsAttr)
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return failure();
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ShapedType dstAttrType = dstElementsAttr.getType();
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// If the composite type has more than one dimensions, perform linearization.
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if (srcType.getRank() > 1) {
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if (srcType.isa<RankedTensorType>()) {
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dstAttrType = RankedTensorType::get(srcType.getNumElements(),
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srcType.getElementType());
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dstElementsAttr = dstElementsAttr.reshape(dstAttrType);
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} else {
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// TODO: add support for large vectors.
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return failure();
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}
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}
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Type srcElemType = srcType.getElementType();
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Type dstElemType;
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// Tensor types are converted to SPIR-V array types; vector types are
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// converted to SPIR-V vector/array types.
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if (auto arrayType = dstType.dyn_cast<spirv::ArrayType>())
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dstElemType = arrayType.getElementType();
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else
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dstElemType = dstType.cast<VectorType>().getElementType();
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// If the source and destination element types are different, perform
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// attribute conversion.
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if (srcElemType != dstElemType) {
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SmallVector<Attribute, 8> elements;
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if (srcElemType.isa<FloatType>()) {
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for (FloatAttr srcAttr : dstElementsAttr.getValues<FloatAttr>()) {
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FloatAttr dstAttr =
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convertFloatAttr(srcAttr, dstElemType.cast<FloatType>(), rewriter);
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if (!dstAttr)
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return failure();
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elements.push_back(dstAttr);
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}
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} else if (srcElemType.isInteger(1)) {
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return failure();
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} else {
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for (IntegerAttr srcAttr : dstElementsAttr.getValues<IntegerAttr>()) {
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IntegerAttr dstAttr = convertIntegerAttr(
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srcAttr, dstElemType.cast<IntegerType>(), rewriter);
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if (!dstAttr)
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return failure();
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elements.push_back(dstAttr);
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}
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}
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// Unfortunately, we cannot use dialect-specific types for element
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// attributes; element attributes only works with builtin types. So we need
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// to prepare another converted builtin types for the destination elements
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// attribute.
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if (dstAttrType.isa<RankedTensorType>())
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dstAttrType = RankedTensorType::get(dstAttrType.getShape(), dstElemType);
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else
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dstAttrType = VectorType::get(dstAttrType.getShape(), dstElemType);
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dstElementsAttr = DenseElementsAttr::get(dstAttrType, elements);
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}
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rewriter.replaceOpWithNewOp<spirv::ConstantOp>(constOp, dstType,
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dstElementsAttr);
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return success();
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}
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//===----------------------------------------------------------------------===//
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// ConstantOp with scalar type
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//===----------------------------------------------------------------------===//
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LogicalResult ConstantScalarOpPattern::matchAndRewrite(
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arith::ConstantOp constOp, OpAdaptor adaptor,
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ConversionPatternRewriter &rewriter) const {
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Type srcType = constOp.getType();
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if (auto shapedType = srcType.dyn_cast<ShapedType>()) {
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if (shapedType.getNumElements() != 1)
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return failure();
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srcType = shapedType.getElementType();
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}
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if (!srcType.isIntOrIndexOrFloat())
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return failure();
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Attribute cstAttr = constOp.getValue();
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if (auto elementsAttr = cstAttr.dyn_cast<DenseElementsAttr>())
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cstAttr = elementsAttr.getSplatValue<Attribute>();
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Type dstType = getTypeConverter()->convertType(srcType);
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if (!dstType)
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return failure();
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// Floating-point types.
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if (srcType.isa<FloatType>()) {
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auto srcAttr = cstAttr.cast<FloatAttr>();
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auto dstAttr = srcAttr;
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// Floating-point types not supported in the target environment are all
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// converted to float type.
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if (srcType != dstType) {
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dstAttr = convertFloatAttr(srcAttr, dstType.cast<FloatType>(), rewriter);
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if (!dstAttr)
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return failure();
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}
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rewriter.replaceOpWithNewOp<spirv::ConstantOp>(constOp, dstType, dstAttr);
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return success();
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}
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// Bool type.
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if (srcType.isInteger(1)) {
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// arith.constant can use 0/1 instead of true/false for i1 values. We need
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// to handle that here.
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auto dstAttr = convertBoolAttr(cstAttr, rewriter);
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if (!dstAttr)
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return failure();
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rewriter.replaceOpWithNewOp<spirv::ConstantOp>(constOp, dstType, dstAttr);
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return success();
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}
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// IndexType or IntegerType. Index values are converted to 32-bit integer
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// values when converting to SPIR-V.
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auto srcAttr = cstAttr.cast<IntegerAttr>();
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auto dstAttr =
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convertIntegerAttr(srcAttr, dstType.cast<IntegerType>(), rewriter);
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if (!dstAttr)
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return failure();
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rewriter.replaceOpWithNewOp<spirv::ConstantOp>(constOp, dstType, dstAttr);
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return success();
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}
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//===----------------------------------------------------------------------===//
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// RemSIOpGLPattern
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//===----------------------------------------------------------------------===//
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/// Returns signed remainder for `lhs` and `rhs` and lets the result follow
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/// the sign of `signOperand`.
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///
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/// Note that this is needed for Vulkan. Per the Vulkan's SPIR-V environment
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/// spec, "for the OpSRem and OpSMod instructions, if either operand is negative
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/// the result is undefined." So we cannot directly use spv.SRem/spv.SMod
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/// if either operand can be negative. Emulate it via spv.UMod.
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template <typename SignedAbsOp>
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|
static Value emulateSignedRemainder(Location loc, Value lhs, Value rhs,
|
|
Value signOperand, OpBuilder &builder) {
|
|
assert(lhs.getType() == rhs.getType());
|
|
assert(lhs == signOperand || rhs == signOperand);
|
|
|
|
Type type = lhs.getType();
|
|
|
|
// Calculate the remainder with spv.UMod.
|
|
Value lhsAbs = builder.create<SignedAbsOp>(loc, type, lhs);
|
|
Value rhsAbs = builder.create<SignedAbsOp>(loc, type, rhs);
|
|
Value abs = builder.create<spirv::UModOp>(loc, lhsAbs, rhsAbs);
|
|
|
|
// Fix the sign.
|
|
Value isPositive;
|
|
if (lhs == signOperand)
|
|
isPositive = builder.create<spirv::IEqualOp>(loc, lhs, lhsAbs);
|
|
else
|
|
isPositive = builder.create<spirv::IEqualOp>(loc, rhs, rhsAbs);
|
|
Value absNegate = builder.create<spirv::SNegateOp>(loc, type, abs);
|
|
return builder.create<spirv::SelectOp>(loc, type, isPositive, abs, absNegate);
|
|
}
|
|
|
|
LogicalResult
|
|
RemSIOpGLPattern::matchAndRewrite(arith::RemSIOp op, OpAdaptor adaptor,
|
|
ConversionPatternRewriter &rewriter) const {
|
|
Value result = emulateSignedRemainder<spirv::GLSAbsOp>(
|
|
op.getLoc(), adaptor.getOperands()[0], adaptor.getOperands()[1],
|
|
adaptor.getOperands()[0], rewriter);
|
|
rewriter.replaceOp(op, result);
|
|
|
|
return success();
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// RemSIOpCLPattern
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
LogicalResult
|
|
RemSIOpCLPattern::matchAndRewrite(arith::RemSIOp op, OpAdaptor adaptor,
|
|
ConversionPatternRewriter &rewriter) const {
|
|
Value result = emulateSignedRemainder<spirv::CLSAbsOp>(
|
|
op.getLoc(), adaptor.getOperands()[0], adaptor.getOperands()[1],
|
|
adaptor.getOperands()[0], rewriter);
|
|
rewriter.replaceOp(op, result);
|
|
|
|
return success();
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// BitwiseOpPattern
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
template <typename Op, typename SPIRVLogicalOp, typename SPIRVBitwiseOp>
|
|
LogicalResult
|
|
BitwiseOpPattern<Op, SPIRVLogicalOp, SPIRVBitwiseOp>::matchAndRewrite(
|
|
Op op, typename Op::Adaptor adaptor,
|
|
ConversionPatternRewriter &rewriter) const {
|
|
assert(adaptor.getOperands().size() == 2);
|
|
auto dstType =
|
|
this->getTypeConverter()->convertType(op.getResult().getType());
|
|
if (!dstType)
|
|
return failure();
|
|
if (isBoolScalarOrVector(adaptor.getOperands().front().getType())) {
|
|
rewriter.template replaceOpWithNewOp<SPIRVLogicalOp>(op, dstType,
|
|
adaptor.getOperands());
|
|
} else {
|
|
rewriter.template replaceOpWithNewOp<SPIRVBitwiseOp>(op, dstType,
|
|
adaptor.getOperands());
|
|
}
|
|
return success();
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// XOrIOpLogicalPattern
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
LogicalResult XOrIOpLogicalPattern::matchAndRewrite(
|
|
arith::XOrIOp op, OpAdaptor adaptor,
|
|
ConversionPatternRewriter &rewriter) const {
|
|
assert(adaptor.getOperands().size() == 2);
|
|
|
|
if (isBoolScalarOrVector(adaptor.getOperands().front().getType()))
|
|
return failure();
|
|
|
|
auto dstType = getTypeConverter()->convertType(op.getType());
|
|
if (!dstType)
|
|
return failure();
|
|
rewriter.replaceOpWithNewOp<spirv::BitwiseXorOp>(op, dstType,
|
|
adaptor.getOperands());
|
|
|
|
return success();
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// XOrIOpBooleanPattern
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
LogicalResult XOrIOpBooleanPattern::matchAndRewrite(
|
|
arith::XOrIOp op, OpAdaptor adaptor,
|
|
ConversionPatternRewriter &rewriter) const {
|
|
assert(adaptor.getOperands().size() == 2);
|
|
|
|
if (!isBoolScalarOrVector(adaptor.getOperands().front().getType()))
|
|
return failure();
|
|
|
|
auto dstType = getTypeConverter()->convertType(op.getType());
|
|
if (!dstType)
|
|
return failure();
|
|
rewriter.replaceOpWithNewOp<spirv::LogicalNotEqualOp>(op, dstType,
|
|
adaptor.getOperands());
|
|
return success();
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// UIToFPI1Pattern
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
LogicalResult
|
|
UIToFPI1Pattern::matchAndRewrite(arith::UIToFPOp op, OpAdaptor adaptor,
|
|
ConversionPatternRewriter &rewriter) const {
|
|
auto srcType = adaptor.getOperands().front().getType();
|
|
if (!isBoolScalarOrVector(srcType))
|
|
return failure();
|
|
|
|
auto dstType =
|
|
this->getTypeConverter()->convertType(op.getResult().getType());
|
|
Location loc = op.getLoc();
|
|
Value zero = spirv::ConstantOp::getZero(dstType, loc, rewriter);
|
|
Value one = spirv::ConstantOp::getOne(dstType, loc, rewriter);
|
|
rewriter.template replaceOpWithNewOp<spirv::SelectOp>(
|
|
op, dstType, adaptor.getOperands().front(), one, zero);
|
|
return success();
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// ExtUII1Pattern
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
LogicalResult
|
|
ExtUII1Pattern::matchAndRewrite(arith::ExtUIOp op, OpAdaptor adaptor,
|
|
ConversionPatternRewriter &rewriter) const {
|
|
auto srcType = adaptor.getOperands().front().getType();
|
|
if (!isBoolScalarOrVector(srcType))
|
|
return failure();
|
|
|
|
auto dstType =
|
|
this->getTypeConverter()->convertType(op.getResult().getType());
|
|
Location loc = op.getLoc();
|
|
Value zero = spirv::ConstantOp::getZero(dstType, loc, rewriter);
|
|
Value one = spirv::ConstantOp::getOne(dstType, loc, rewriter);
|
|
rewriter.template replaceOpWithNewOp<spirv::SelectOp>(
|
|
op, dstType, adaptor.getOperands().front(), one, zero);
|
|
return success();
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// TruncII1Pattern
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
LogicalResult
|
|
TruncII1Pattern::matchAndRewrite(arith::TruncIOp op, OpAdaptor adaptor,
|
|
ConversionPatternRewriter &rewriter) const {
|
|
auto dstType =
|
|
this->getTypeConverter()->convertType(op.getResult().getType());
|
|
if (!isBoolScalarOrVector(dstType))
|
|
return failure();
|
|
|
|
Location loc = op.getLoc();
|
|
auto srcType = adaptor.getOperands().front().getType();
|
|
// Check if (x & 1) == 1.
|
|
Value mask = spirv::ConstantOp::getOne(srcType, loc, rewriter);
|
|
Value maskedSrc = rewriter.create<spirv::BitwiseAndOp>(
|
|
loc, srcType, adaptor.getOperands()[0], mask);
|
|
Value isOne = rewriter.create<spirv::IEqualOp>(loc, maskedSrc, mask);
|
|
|
|
Value zero = spirv::ConstantOp::getZero(dstType, loc, rewriter);
|
|
Value one = spirv::ConstantOp::getOne(dstType, loc, rewriter);
|
|
rewriter.replaceOpWithNewOp<spirv::SelectOp>(op, dstType, isOne, one, zero);
|
|
return success();
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// TypeCastingOpPattern
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
template <typename Op, typename SPIRVOp>
|
|
LogicalResult TypeCastingOpPattern<Op, SPIRVOp>::matchAndRewrite(
|
|
Op op, typename Op::Adaptor adaptor,
|
|
ConversionPatternRewriter &rewriter) const {
|
|
assert(adaptor.getOperands().size() == 1);
|
|
auto srcType = adaptor.getOperands().front().getType();
|
|
auto dstType =
|
|
this->getTypeConverter()->convertType(op.getResult().getType());
|
|
if (isBoolScalarOrVector(srcType) || isBoolScalarOrVector(dstType))
|
|
return failure();
|
|
if (dstType == srcType) {
|
|
// Due to type conversion, we are seeing the same source and target type.
|
|
// Then we can just erase this operation by forwarding its operand.
|
|
rewriter.replaceOp(op, adaptor.getOperands().front());
|
|
} else {
|
|
rewriter.template replaceOpWithNewOp<SPIRVOp>(op, dstType,
|
|
adaptor.getOperands());
|
|
}
|
|
return success();
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// CmpIOpBooleanPattern
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
LogicalResult CmpIOpBooleanPattern::matchAndRewrite(
|
|
arith::CmpIOp op, OpAdaptor adaptor,
|
|
ConversionPatternRewriter &rewriter) const {
|
|
Type srcType = op.getLhs().getType();
|
|
if (!isBoolScalarOrVector(srcType))
|
|
return failure();
|
|
Type dstType = getTypeConverter()->convertType(srcType);
|
|
if (!dstType)
|
|
return failure();
|
|
|
|
switch (op.getPredicate()) {
|
|
case arith::CmpIPredicate::eq: {
|
|
rewriter.replaceOpWithNewOp<spirv::LogicalEqualOp>(op, adaptor.getLhs(),
|
|
adaptor.getRhs());
|
|
return success();
|
|
}
|
|
case arith::CmpIPredicate::ne: {
|
|
rewriter.replaceOpWithNewOp<spirv::LogicalNotEqualOp>(op, adaptor.getLhs(),
|
|
adaptor.getRhs());
|
|
return success();
|
|
}
|
|
case arith::CmpIPredicate::uge:
|
|
case arith::CmpIPredicate::ugt:
|
|
case arith::CmpIPredicate::ule:
|
|
case arith::CmpIPredicate::ult: {
|
|
// There are no direct corresponding instructions in SPIR-V for such cases.
|
|
// Extend them to 32-bit and do comparision then.
|
|
Type type = rewriter.getI32Type();
|
|
if (auto vectorType = dstType.dyn_cast<VectorType>())
|
|
type = VectorType::get(vectorType.getShape(), type);
|
|
auto extLhs =
|
|
rewriter.create<arith::ExtUIOp>(op.getLoc(), type, adaptor.getLhs());
|
|
auto extRhs =
|
|
rewriter.create<arith::ExtUIOp>(op.getLoc(), type, adaptor.getRhs());
|
|
|
|
rewriter.replaceOpWithNewOp<arith::CmpIOp>(op, op.getPredicate(), extLhs,
|
|
extRhs);
|
|
return success();
|
|
}
|
|
default:
|
|
break;
|
|
}
|
|
return failure();
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// CmpIOpPattern
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
LogicalResult
|
|
CmpIOpPattern::matchAndRewrite(arith::CmpIOp op, OpAdaptor adaptor,
|
|
ConversionPatternRewriter &rewriter) const {
|
|
Type srcType = op.getLhs().getType();
|
|
if (isBoolScalarOrVector(srcType))
|
|
return failure();
|
|
Type dstType = getTypeConverter()->convertType(srcType);
|
|
if (!dstType)
|
|
return failure();
|
|
|
|
switch (op.getPredicate()) {
|
|
#define DISPATCH(cmpPredicate, spirvOp) \
|
|
case cmpPredicate: \
|
|
if (spirvOp::template hasTrait<OpTrait::spirv::UnsignedOp>() && \
|
|
srcType != dstType && !hasSameBitwidth(srcType, dstType)) { \
|
|
return op.emitError( \
|
|
"bitwidth emulation is not implemented yet on unsigned op"); \
|
|
} \
|
|
rewriter.replaceOpWithNewOp<spirvOp>(op, adaptor.getLhs(), \
|
|
adaptor.getRhs()); \
|
|
return success();
|
|
|
|
DISPATCH(arith::CmpIPredicate::eq, spirv::IEqualOp);
|
|
DISPATCH(arith::CmpIPredicate::ne, spirv::INotEqualOp);
|
|
DISPATCH(arith::CmpIPredicate::slt, spirv::SLessThanOp);
|
|
DISPATCH(arith::CmpIPredicate::sle, spirv::SLessThanEqualOp);
|
|
DISPATCH(arith::CmpIPredicate::sgt, spirv::SGreaterThanOp);
|
|
DISPATCH(arith::CmpIPredicate::sge, spirv::SGreaterThanEqualOp);
|
|
DISPATCH(arith::CmpIPredicate::ult, spirv::ULessThanOp);
|
|
DISPATCH(arith::CmpIPredicate::ule, spirv::ULessThanEqualOp);
|
|
DISPATCH(arith::CmpIPredicate::ugt, spirv::UGreaterThanOp);
|
|
DISPATCH(arith::CmpIPredicate::uge, spirv::UGreaterThanEqualOp);
|
|
|
|
#undef DISPATCH
|
|
}
|
|
return failure();
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// CmpFOpPattern
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
LogicalResult
|
|
CmpFOpPattern::matchAndRewrite(arith::CmpFOp op, OpAdaptor adaptor,
|
|
ConversionPatternRewriter &rewriter) const {
|
|
switch (op.getPredicate()) {
|
|
#define DISPATCH(cmpPredicate, spirvOp) \
|
|
case cmpPredicate: \
|
|
rewriter.replaceOpWithNewOp<spirvOp>(op, adaptor.getLhs(), \
|
|
adaptor.getRhs()); \
|
|
return success();
|
|
|
|
// Ordered.
|
|
DISPATCH(arith::CmpFPredicate::OEQ, spirv::FOrdEqualOp);
|
|
DISPATCH(arith::CmpFPredicate::OGT, spirv::FOrdGreaterThanOp);
|
|
DISPATCH(arith::CmpFPredicate::OGE, spirv::FOrdGreaterThanEqualOp);
|
|
DISPATCH(arith::CmpFPredicate::OLT, spirv::FOrdLessThanOp);
|
|
DISPATCH(arith::CmpFPredicate::OLE, spirv::FOrdLessThanEqualOp);
|
|
DISPATCH(arith::CmpFPredicate::ONE, spirv::FOrdNotEqualOp);
|
|
// Unordered.
|
|
DISPATCH(arith::CmpFPredicate::UEQ, spirv::FUnordEqualOp);
|
|
DISPATCH(arith::CmpFPredicate::UGT, spirv::FUnordGreaterThanOp);
|
|
DISPATCH(arith::CmpFPredicate::UGE, spirv::FUnordGreaterThanEqualOp);
|
|
DISPATCH(arith::CmpFPredicate::ULT, spirv::FUnordLessThanOp);
|
|
DISPATCH(arith::CmpFPredicate::ULE, spirv::FUnordLessThanEqualOp);
|
|
DISPATCH(arith::CmpFPredicate::UNE, spirv::FUnordNotEqualOp);
|
|
|
|
#undef DISPATCH
|
|
|
|
default:
|
|
break;
|
|
}
|
|
return failure();
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// CmpFOpNanKernelPattern
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
LogicalResult CmpFOpNanKernelPattern::matchAndRewrite(
|
|
arith::CmpFOp op, OpAdaptor adaptor,
|
|
ConversionPatternRewriter &rewriter) const {
|
|
if (op.getPredicate() == arith::CmpFPredicate::ORD) {
|
|
rewriter.replaceOpWithNewOp<spirv::OrderedOp>(op, adaptor.getLhs(),
|
|
adaptor.getRhs());
|
|
return success();
|
|
}
|
|
|
|
if (op.getPredicate() == arith::CmpFPredicate::UNO) {
|
|
rewriter.replaceOpWithNewOp<spirv::UnorderedOp>(op, adaptor.getLhs(),
|
|
adaptor.getRhs());
|
|
return success();
|
|
}
|
|
|
|
return failure();
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// CmpFOpNanNonePattern
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
LogicalResult CmpFOpNanNonePattern::matchAndRewrite(
|
|
arith::CmpFOp op, OpAdaptor adaptor,
|
|
ConversionPatternRewriter &rewriter) const {
|
|
if (op.getPredicate() != arith::CmpFPredicate::ORD &&
|
|
op.getPredicate() != arith::CmpFPredicate::UNO)
|
|
return failure();
|
|
|
|
Location loc = op.getLoc();
|
|
|
|
Value lhsIsNan = rewriter.create<spirv::IsNanOp>(loc, adaptor.getLhs());
|
|
Value rhsIsNan = rewriter.create<spirv::IsNanOp>(loc, adaptor.getRhs());
|
|
|
|
Value replace = rewriter.create<spirv::LogicalOrOp>(loc, lhsIsNan, rhsIsNan);
|
|
if (op.getPredicate() == arith::CmpFPredicate::ORD)
|
|
replace = rewriter.create<spirv::LogicalNotOp>(loc, replace);
|
|
|
|
rewriter.replaceOp(op, replace);
|
|
return success();
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// AddICarryOpPattern
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
LogicalResult
|
|
AddICarryOpPattern::matchAndRewrite(arith::AddUICarryOp op, OpAdaptor adaptor,
|
|
ConversionPatternRewriter &rewriter) const {
|
|
Type dstElemTy = adaptor.getLhs().getType();
|
|
Location loc = op->getLoc();
|
|
Value result = rewriter.create<spirv::IAddCarryOp>(loc, adaptor.getLhs(),
|
|
adaptor.getRhs());
|
|
|
|
Value sumResult = rewriter.create<spirv::CompositeExtractOp>(
|
|
loc, result, llvm::makeArrayRef(0));
|
|
Value carryValue = rewriter.create<spirv::CompositeExtractOp>(
|
|
loc, result, llvm::makeArrayRef(1));
|
|
|
|
// Convert the carry value to boolean.
|
|
Value one = spirv::ConstantOp::getOne(dstElemTy, loc, rewriter);
|
|
Value carryResult = rewriter.create<spirv::IEqualOp>(loc, carryValue, one);
|
|
|
|
rewriter.replaceOp(op, {sumResult, carryResult});
|
|
return success();
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// SelectOpPattern
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
LogicalResult
|
|
SelectOpPattern::matchAndRewrite(arith::SelectOp op, OpAdaptor adaptor,
|
|
ConversionPatternRewriter &rewriter) const {
|
|
rewriter.replaceOpWithNewOp<spirv::SelectOp>(op, adaptor.getCondition(),
|
|
adaptor.getTrueValue(),
|
|
adaptor.getFalseValue());
|
|
return success();
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// Pattern Population
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
void mlir::arith::populateArithmeticToSPIRVPatterns(
|
|
SPIRVTypeConverter &typeConverter, RewritePatternSet &patterns) {
|
|
// clang-format off
|
|
patterns.add<
|
|
ConstantCompositeOpPattern,
|
|
ConstantScalarOpPattern,
|
|
spirv::ElementwiseOpPattern<arith::AddIOp, spirv::IAddOp>,
|
|
spirv::ElementwiseOpPattern<arith::SubIOp, spirv::ISubOp>,
|
|
spirv::ElementwiseOpPattern<arith::MulIOp, spirv::IMulOp>,
|
|
spirv::ElementwiseOpPattern<arith::DivUIOp, spirv::UDivOp>,
|
|
spirv::ElementwiseOpPattern<arith::DivSIOp, spirv::SDivOp>,
|
|
spirv::ElementwiseOpPattern<arith::RemUIOp, spirv::UModOp>,
|
|
RemSIOpGLPattern, RemSIOpCLPattern,
|
|
BitwiseOpPattern<arith::AndIOp, spirv::LogicalAndOp, spirv::BitwiseAndOp>,
|
|
BitwiseOpPattern<arith::OrIOp, spirv::LogicalOrOp, spirv::BitwiseOrOp>,
|
|
XOrIOpLogicalPattern, XOrIOpBooleanPattern,
|
|
spirv::ElementwiseOpPattern<arith::ShLIOp, spirv::ShiftLeftLogicalOp>,
|
|
spirv::ElementwiseOpPattern<arith::ShRUIOp, spirv::ShiftRightLogicalOp>,
|
|
spirv::ElementwiseOpPattern<arith::ShRSIOp, spirv::ShiftRightArithmeticOp>,
|
|
spirv::ElementwiseOpPattern<arith::NegFOp, spirv::FNegateOp>,
|
|
spirv::ElementwiseOpPattern<arith::AddFOp, spirv::FAddOp>,
|
|
spirv::ElementwiseOpPattern<arith::SubFOp, spirv::FSubOp>,
|
|
spirv::ElementwiseOpPattern<arith::MulFOp, spirv::FMulOp>,
|
|
spirv::ElementwiseOpPattern<arith::DivFOp, spirv::FDivOp>,
|
|
spirv::ElementwiseOpPattern<arith::RemFOp, spirv::FRemOp>,
|
|
TypeCastingOpPattern<arith::ExtUIOp, spirv::UConvertOp>, ExtUII1Pattern,
|
|
TypeCastingOpPattern<arith::ExtSIOp, spirv::SConvertOp>,
|
|
TypeCastingOpPattern<arith::ExtFOp, spirv::FConvertOp>,
|
|
TypeCastingOpPattern<arith::TruncIOp, spirv::SConvertOp>, TruncII1Pattern,
|
|
TypeCastingOpPattern<arith::TruncFOp, spirv::FConvertOp>,
|
|
TypeCastingOpPattern<arith::UIToFPOp, spirv::ConvertUToFOp>, UIToFPI1Pattern,
|
|
TypeCastingOpPattern<arith::SIToFPOp, spirv::ConvertSToFOp>,
|
|
TypeCastingOpPattern<arith::FPToSIOp, spirv::ConvertFToSOp>,
|
|
TypeCastingOpPattern<arith::IndexCastOp, spirv::SConvertOp>,
|
|
TypeCastingOpPattern<arith::BitcastOp, spirv::BitcastOp>,
|
|
CmpIOpBooleanPattern, CmpIOpPattern,
|
|
CmpFOpNanNonePattern, CmpFOpPattern,
|
|
AddICarryOpPattern, SelectOpPattern,
|
|
|
|
spirv::ElementwiseOpPattern<arith::MaxFOp, spirv::GLFMaxOp>,
|
|
spirv::ElementwiseOpPattern<arith::MaxSIOp, spirv::GLSMaxOp>,
|
|
spirv::ElementwiseOpPattern<arith::MaxUIOp, spirv::GLUMaxOp>,
|
|
spirv::ElementwiseOpPattern<arith::MinFOp, spirv::GLFMinOp>,
|
|
spirv::ElementwiseOpPattern<arith::MinSIOp, spirv::GLSMinOp>,
|
|
spirv::ElementwiseOpPattern<arith::MinUIOp, spirv::GLUMinOp>
|
|
>(typeConverter, patterns.getContext());
|
|
// clang-format on
|
|
|
|
// Give CmpFOpNanKernelPattern a higher benefit so it can prevail when Kernel
|
|
// capability is available.
|
|
patterns.add<CmpFOpNanKernelPattern>(typeConverter, patterns.getContext(),
|
|
/*benefit=*/2);
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// Pass Definition
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
namespace {
|
|
struct ConvertArithmeticToSPIRVPass
|
|
: public impl::ConvertArithmeticToSPIRVBase<ConvertArithmeticToSPIRVPass> {
|
|
void runOnOperation() override {
|
|
Operation *op = getOperation();
|
|
auto targetAttr = spirv::lookupTargetEnvOrDefault(op);
|
|
auto target = SPIRVConversionTarget::get(targetAttr);
|
|
|
|
SPIRVTypeConverter::Options options;
|
|
options.emulateNon32BitScalarTypes = this->emulateNon32BitScalarTypes;
|
|
SPIRVTypeConverter typeConverter(targetAttr, options);
|
|
|
|
// Use UnrealizedConversionCast as the bridge so that we don't need to pull
|
|
// in patterns for other dialects.
|
|
auto addUnrealizedCast = [](OpBuilder &builder, Type type,
|
|
ValueRange inputs, Location loc) {
|
|
auto cast = builder.create<UnrealizedConversionCastOp>(loc, type, inputs);
|
|
return Optional<Value>(cast.getResult(0));
|
|
};
|
|
typeConverter.addSourceMaterialization(addUnrealizedCast);
|
|
typeConverter.addTargetMaterialization(addUnrealizedCast);
|
|
target->addLegalOp<UnrealizedConversionCastOp>();
|
|
|
|
RewritePatternSet patterns(&getContext());
|
|
arith::populateArithmeticToSPIRVPatterns(typeConverter, patterns);
|
|
|
|
if (failed(applyPartialConversion(op, *target, std::move(patterns))))
|
|
signalPassFailure();
|
|
}
|
|
};
|
|
} // namespace
|
|
|
|
std::unique_ptr<OperationPass<>>
|
|
mlir::arith::createConvertArithmeticToSPIRVPass() {
|
|
return std::make_unique<ConvertArithmeticToSPIRVPass>();
|
|
}
|