[Mlir-commits] [mlir] [NvGpu Dialect] add rcp approxe op (PR #100965)

llvmlistbot at llvm.org llvmlistbot at llvm.org
Sun Jul 28 19:53:31 PDT 2024


https://github.com/Observer007 created https://github.com/llvm/llvm-project/pull/100965

This new op is a simple wrapper op of `nvvm.rcp.approx.ftz.f` which allows f32 vector input/output.

>From 0749a595895feb7507baf3a9a2df093f7284849e Mon Sep 17 00:00:00 2001
From: jingzec <jingzec at nvidia.com>
Date: Fri, 26 Jul 2024 00:48:01 -0700
Subject: [PATCH] add rcp approxe op

---
 mlir/include/mlir/Dialect/NVGPU/IR/NVGPU.td   | 13 +++++++
 .../Conversion/NVGPUToNVVM/NVGPUToNVVM.cpp    | 38 ++++++++++++++++++-
 .../Conversion/NVGPUToNVVM/nvgpu-to-nvvm.mlir | 16 ++++++++
 3 files changed, 66 insertions(+), 1 deletion(-)

diff --git a/mlir/include/mlir/Dialect/NVGPU/IR/NVGPU.td b/mlir/include/mlir/Dialect/NVGPU/IR/NVGPU.td
index dda8f31e688fe..3501c5af16d8c 100644
--- a/mlir/include/mlir/Dialect/NVGPU/IR/NVGPU.td
+++ b/mlir/include/mlir/Dialect/NVGPU/IR/NVGPU.td
@@ -20,6 +20,7 @@
 #ifndef NVGPU
 #define NVGPU
 
+include "mlir/Interfaces/InferTypeOpInterface.td"
 include "mlir/Interfaces/SideEffectInterfaces.td"
 include "mlir/IR/AttrTypeBase.td"
 include "mlir/IR/OpBase.td"
@@ -802,4 +803,16 @@ def NVGPU_WarpgroupMmaInitAccumulatorOp : NVGPU_Op<"warpgroup.mma.init.accumulat
   let hasVerifier = 1;
 }
 
+def NVGPU_RcpApproxOp : NVGPU_Op<"rcp_approx", [
+  Pure, SameOperandsAndResultType
+]> {
+  let summary = "A wrapper of nvvm rcp.approx.ftz.f";
+  let description = [{
+    F32 vector reciprocal calculation using `nvvm.rcp.approx.ftz.f`.
+    The input and output are both F32 vector with same shape.
+  }];
+  let arguments = (ins VectorOf<[F32]>:$in);
+  let results = (outs VectorOf<[F32]>:$out);
+  let assemblyFormat = "$in attr-dict `:` type($out)";
+}
 #endif // NVGPU
diff --git a/mlir/lib/Conversion/NVGPUToNVVM/NVGPUToNVVM.cpp b/mlir/lib/Conversion/NVGPUToNVVM/NVGPUToNVVM.cpp
index 11d29754aa760..b7ea4aaeb7d8c 100644
--- a/mlir/lib/Conversion/NVGPUToNVVM/NVGPUToNVVM.cpp
+++ b/mlir/lib/Conversion/NVGPUToNVVM/NVGPUToNVVM.cpp
@@ -11,6 +11,7 @@
 #include "mlir/Conversion/GPUCommon/GPUCommonPass.h"
 #include "mlir/Conversion/LLVMCommon/ConversionTarget.h"
 #include "mlir/Conversion/LLVMCommon/Pattern.h"
+#include "mlir/Conversion/LLVMCommon/VectorPattern.h"
 #include "mlir/Dialect/Arith/IR/Arith.h"
 #include "mlir/Dialect/GPU/IR/GPUDialect.h"
 #include "mlir/Dialect/LLVMIR/LLVMDialect.h"
@@ -1666,6 +1667,41 @@ struct NVGPUTmaPrefetchOpLowering
   }
 };
 
+struct NVGPURcpApproxOpLowering
+    : public ConvertOpToLLVMPattern<nvgpu::RcpApproxOp> {
+  using ConvertOpToLLVMPattern<nvgpu::RcpApproxOp>::ConvertOpToLLVMPattern;
+  LogicalResult
+  matchAndRewrite(nvgpu::RcpApproxOp op, OpAdaptor adaptor,
+                  ConversionPatternRewriter &rewriter) const override {
+    ImplicitLocOpBuilder b(op->getLoc(), rewriter);
+    auto i64Ty = b.getI64Type();
+    auto f32Ty = b.getF32Type();
+    VectorType inTy = op.getIn().getType();
+    // apply rcp.approx.ftz.f on each element in vector.
+    auto convert1DVec = [&](Type llvm1DVectorTy, Value inVec) {
+      Value ret1DVec = b.create<LLVM::UndefOp>(llvm1DVectorTy);
+      int numElems = llvm::cast<VectorType>(llvm1DVectorTy).getNumElements();
+      for (int i = 0; i < numElems; i++) {
+        Value idx = b.create<LLVM::ConstantOp>(i64Ty, b.getI64IntegerAttr(i));
+        Value elem = b.create<LLVM::ExtractElementOp>(inVec, idx);
+        Value dst = b.create<NVVM::RcpApproxFtzF32Op>(f32Ty, elem);
+        ret1DVec = b.create<LLVM::InsertElementOp>(ret1DVec, dst, idx);
+      }
+      return ret1DVec;
+    };
+    if (inTy.getRank() == 1) {
+      rewriter.replaceOp(op, convert1DVec(inTy, adaptor.getIn()));
+      return success();
+    }
+    return LLVM::detail::handleMultidimensionalVectors(
+        op.getOperation(), adaptor.getOperands(), *(this->getTypeConverter()),
+        [&](Type llvm1DVectorTy, ValueRange operands) -> Value {
+          OpAdaptor adaptor(operands);
+          return convert1DVec(llvm1DVectorTy, adaptor.getIn());
+        },
+        rewriter);
+  }
+};
 } // namespace
 
 void mlir::populateNVGPUToNVVMConversionPatterns(LLVMTypeConverter &converter,
@@ -1688,5 +1724,5 @@ void mlir::populateNVGPUToNVVMConversionPatterns(LLVMTypeConverter &converter,
       NVGPUWarpgroupMmaInitAccumulatorOpLowering, // nvgpu.warpgroup.mma.init.accumulator
       MmaSyncOptoNVVM, MmaLdMatrixOpToNVVM, NVGPUAsyncCopyLowering,
       NVGPUAsyncCreateGroupLowering, NVGPUAsyncWaitLowering,
-      NVGPUMmaSparseSyncLowering>(converter);
+      NVGPUMmaSparseSyncLowering, NVGPURcpApproxOpLowering>(converter);
 }
diff --git a/mlir/test/Conversion/NVGPUToNVVM/nvgpu-to-nvvm.mlir b/mlir/test/Conversion/NVGPUToNVVM/nvgpu-to-nvvm.mlir
index 86a552c03a473..95cd7a0892b6c 100644
--- a/mlir/test/Conversion/NVGPUToNVVM/nvgpu-to-nvvm.mlir
+++ b/mlir/test/Conversion/NVGPUToNVVM/nvgpu-to-nvvm.mlir
@@ -1339,3 +1339,19 @@ module attributes {transform.with_named_sequence} {
     transform.yield
   }
 }
+
+// CHECK-LABEL: @rcp_approx_ftz_f32
+// CHECK-SAME:  %[[IN:.*]]: vector<32x16xf32>
+func.func @rcp_approx_ftz_f32(
+    %in: vector<32x16xf32>) {
+  // CHECK: %[[IN_LLVM:.*]] = builtin.unrealized_conversion_cast %[[IN]] : vector<32x16xf32> to !llvm.array<32 x vector<16xf32>>
+  // CHECK: %[[IN1DVEC:.*]] = llvm.extractvalue %[[IN_LLVM]][0] : !llvm.array<32 x vector<16xf32>>
+  // CHECK: %[[OUT1DVEC:.*]] = llvm.mlir.undef : vector<16xf32>
+  // CHECK: %[[IDX_0:.+]] = llvm.mlir.constant(0 : i64) : i64
+  // CHECK: %[[ELEM_0:.*]] = llvm.extractelement %[[IN1DVEC]][%[[IDX_0]] : i64]
+  // CHECK: %[[ELEM_RCP0:.*]] = nvvm.rcp.approx.ftz.f %[[ELEM_0]] : f32
+  // CHECK: llvm.insertelement %[[ELEM_RCP0]], %[[OUT1DVEC]][%[[IDX_0]] : i64] : vector<16xf32>
+  // CHECK-COUNT-511: nvvm.rcp.approx.ftz.f
+  %out = nvgpu.rcp_approx %in : vector<32x16xf32>
+  return
+}



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