llvm-project/mlir/test/Transforms/loop-fusion-4.mlir

144 lines
5.7 KiB
MLIR

// RUN: mlir-opt -allow-unregistered-dialect %s -affine-loop-fusion="mode=producer" -split-input-file | FileCheck %s --check-prefix=PRODUCER-CONSUMER
// RUN: mlir-opt -allow-unregistered-dialect %s -affine-loop-fusion="fusion-maximal mode=sibling" -split-input-file | FileCheck %s --check-prefix=SIBLING-MAXIMAL
// Part I of fusion tests in mlir/test/Transforms/loop-fusion.mlir.
// Part II of fusion tests in mlir/test/Transforms/loop-fusion-2.mlir
// Part III of fusion tests in mlir/test/Transforms/loop-fusion-3.mlir
// Expects fusion of producer into consumer at depth 4 and subsequent removal of
// source loop.
// PRODUCER-CONSUMER-LABEL: func @unflatten4d
func.func @unflatten4d(%arg1: memref<7x8x9x10xf32>) {
%m = memref.alloc() : memref<5040xf32>
%cf7 = arith.constant 7.0 : f32
affine.for %i0 = 0 to 7 {
affine.for %i1 = 0 to 8 {
affine.for %i2 = 0 to 9 {
affine.for %i3 = 0 to 10 {
affine.store %cf7, %m[720 * %i0 + 90 * %i1 + 10 * %i2 + %i3] : memref<5040xf32>
}
}
}
}
affine.for %i0 = 0 to 7 {
affine.for %i1 = 0 to 8 {
affine.for %i2 = 0 to 9 {
affine.for %i3 = 0 to 10 {
%v0 = affine.load %m[720 * %i0 + 90 * %i1 + 10 * %i2 + %i3] : memref<5040xf32>
affine.store %v0, %arg1[%i0, %i1, %i2, %i3] : memref<7x8x9x10xf32>
}
}
}
}
return
}
// PRODUCER-CONSUMER: affine.for
// PRODUCER-CONSUMER-NEXT: affine.for
// PRODUCER-CONSUMER-NEXT: affine.for
// PRODUCER-CONSUMER-NEXT: affine.for
// PRODUCER-CONSUMER-NOT: affine.for
// PRODUCER-CONSUMER: return
// -----
// Expects fusion of producer into consumer at depth 2 and subsequent removal of
// source loop.
// PRODUCER-CONSUMER-LABEL: func @unflatten2d_with_transpose
func.func @unflatten2d_with_transpose(%arg1: memref<8x7xf32>) {
%m = memref.alloc() : memref<56xf32>
%cf7 = arith.constant 7.0 : f32
affine.for %i0 = 0 to 7 {
affine.for %i1 = 0 to 8 {
affine.store %cf7, %m[8 * %i0 + %i1] : memref<56xf32>
}
}
affine.for %i0 = 0 to 8 {
affine.for %i1 = 0 to 7 {
%v0 = affine.load %m[%i0 + 8 * %i1] : memref<56xf32>
affine.store %v0, %arg1[%i0, %i1] : memref<8x7xf32>
}
}
return
}
// PRODUCER-CONSUMER: affine.for
// PRODUCER-CONSUMER-NEXT: affine.for
// PRODUCER-CONSUMER-NOT: affine.for
// PRODUCER-CONSUMER: return
// -----
// Expects fusion of producer into consumer at depth 1 and source loop to not
// be removed due to difference in loop steps.
// PRODUCER-CONSUMER-LABEL: func @check_src_dst_step
func.func @check_src_dst_step(%m : memref<100xf32>,
%src: memref<100xf32>,
%out: memref<100xf32>) {
affine.for %i0 = 0 to 100 {
%r1 = affine.load %src[%i0]: memref<100xf32>
affine.store %r1, %m[%i0] : memref<100xf32>
}
affine.for %i2 = 0 to 100 step 2 {
%r2 = affine.load %m[%i2] : memref<100xf32>
affine.store %r2, %out[%i2] : memref<100xf32>
}
return
}
// Check if the fusion did take place as well as that the source loop was
// not removed. To check if fusion took place, the read instruction from the
// original source loop is checked to be in the fused loop.
//
// PRODUCER-CONSUMER: affine.for %[[idx_0:.*]] = 0 to 100 {
// PRODUCER-CONSUMER-NEXT: %[[result_0:.*]] = affine.load %[[arr1:.*]][%[[idx_0]]] : memref<100xf32>
// PRODUCER-CONSUMER-NEXT: affine.store %[[result_0]], %{{.*}}[%[[idx_0]]] : memref<100xf32>
// PRODUCER-CONSUMER-NEXT: }
// PRODUCER-CONSUMER: affine.for %[[idx_1:.*]] = 0 to 100 step 2 {
// PRODUCER-CONSUMER: affine.load %[[arr1]][%[[idx_1]]] : memref<100xf32>
// PRODUCER-CONSUMER: }
// PRODUCER-CONSUMER: return
// -----
// SIBLING-MAXIMAL-LABEL: func @reduce_add_non_maximal_f32_f32(
func.func @reduce_add_non_maximal_f32_f32(%arg0: memref<64x64xf32, 1>, %arg1 : memref<1x64xf32, 1>, %arg2 : memref<1x64xf32, 1>) {
%cst_0 = arith.constant 0.000000e+00 : f32
%cst_1 = arith.constant 1.000000e+00 : f32
affine.for %arg3 = 0 to 1 {
affine.for %arg4 = 0 to 64 {
%accum = affine.for %arg5 = 0 to 64 iter_args (%prevAccum = %cst_0) -> f32 {
%4 = affine.load %arg0[%arg5, %arg4] : memref<64x64xf32, 1>
%5 = arith.addf %prevAccum, %4 : f32
affine.yield %5 : f32
}
%accum_dbl = arith.addf %accum, %accum : f32
affine.store %accum_dbl, %arg1[%arg3, %arg4] : memref<1x64xf32, 1>
}
}
affine.for %arg3 = 0 to 1 {
affine.for %arg4 = 0 to 64 {
// Following loop trip count does not match the corresponding source trip count.
%accum = affine.for %arg5 = 0 to 32 iter_args (%prevAccum = %cst_1) -> f32 {
%4 = affine.load %arg0[%arg5, %arg4] : memref<64x64xf32, 1>
%5 = arith.mulf %prevAccum, %4 : f32
affine.yield %5 : f32
}
%accum_sqr = arith.mulf %accum, %accum : f32
affine.store %accum_sqr, %arg2[%arg3, %arg4] : memref<1x64xf32, 1>
}
}
return
}
// Test checks the loop structure is preserved after sibling fusion
// since the destination loop and source loop trip counts do not
// match.
// SIBLING-MAXIMAL: %[[cst_0:.*]] = arith.constant 0.000000e+00 : f32
// SIBLING-MAXIMAL-NEXT: %[[cst_1:.*]] = arith.constant 1.000000e+00 : f32
// SIBLING-MAXIMAL-NEXT: affine.for %[[idx_0:.*]]= 0 to 1 {
// SIBLING-MAXIMAL-NEXT: affine.for %[[idx_1:.*]] = 0 to 64 {
// SIBLING-MAXIMAL-NEXT: %[[result_1:.*]] = affine.for %[[idx_2:.*]] = 0 to 32 iter_args(%[[iter_0:.*]] = %[[cst_1]]) -> (f32) {
// SIBLING-MAXIMAL-NEXT: %[[result_0:.*]] = affine.for %[[idx_3:.*]] = 0 to 64 iter_args(%[[iter_1:.*]] = %[[cst_0]]) -> (f32) {