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backend: (riscv) remove optimization level from test-lower-linalg-to-snitch #3385

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49 changes: 0 additions & 49 deletions tests/filecheck/projects/riscv-backend-paper/nsnet.mlir
Original file line number Diff line number Diff line change
@@ -1,6 +1,4 @@
// RUN: xdsl-opt -p arith-add-fastmath,test-lower-linalg-to-snitch -t riscv-asm %s | filecheck %s
// RUN: xdsl-opt -p arith-add-fastmath,test-lower-linalg-to-snitch{optimization-level=4} -t riscv-asm %s | filecheck %s
// RUN: xdsl-opt -p arith-add-fastmath,test-lower-linalg-to-snitch{optimization-level=0} -t riscv-asm %s | filecheck %s --check-prefix=CHECK-OPT

func.func @main$async_dispatch_0_matmul_transpose_b_1x400x161_f64$xdsl_kernel1(%arg0: memref<1x161xf64>, %arg1: memref<5x161xf64, strided<[161, 1]>>, %arg2: memref<1x5xf64, strided<[40, 1]>>) {
linalg.generic {indexing_maps = [affine_map<(d0, d1, d2) -> (d0, d2)>, affine_map<(d0, d1, d2) -> (d1, d2)>, affine_map<(d0, d1, d2) -> (d0, d1)>], iterator_types = ["parallel", "parallel", "reduction"]} ins(%arg0, %arg1 : memref<1x161xf64>, memref<5x161xf64, strided<[161, 1]>>) outs(%arg2 : memref<1x5xf64, strided<[40, 1]>>) {
Expand Down Expand Up @@ -59,50 +57,3 @@ func.func @main$async_dispatch_0_matmul_transpose_b_1x400x161_f64$xdsl_kernel1(%
// CHECK-NEXT: fsd ft3, 32(t0) # store double value to memref of shape (1, 5)
// CHECK-NEXT: csrrci zero, 1984, 1
// CHECK-NEXT: ret

// CHECK-OPT: .text
// CHECK-OPT-NEXT: .globl main$async_dispatch_0_matmul_transpose_b_1x400x161_f64$xdsl_kernel1
// CHECK-OPT-NEXT: .p2align 2
// CHECK-OPT-NEXT: # Regalloc stats: {"preallocated_float": [], "preallocated_int": ["a0", "a1", "a2", "zero"], "allocated_float": ["ft0", "ft1", "ft2"], "allocated_int": ["a0", "a1", "a2", "a3", "a4", "a5", "t0", "t1", "t2", "t3", "t4", "t5", "t6", "zero"]}
// CHECK-OPT-NEXT: main$async_dispatch_0_matmul_transpose_b_1x400x161_f64$xdsl_kernel1:
// CHECK-OPT-NEXT: mv t4, a0
// CHECK-OPT-NEXT: mv t3, a1
// CHECK-OPT-NEXT: mv t2, a2
// CHECK-OPT-NEXT: li t6, 5
// CHECK-OPT-NEXT: li t0, 161
// CHECK-OPT-NEXT: mv t5, zero
// CHECK-OPT-NEXT: # Constant folded riscv_cf.bge
// CHECK-OPT-NEXT: scf_body_1_for:
// CHECK-OPT-NEXT: mv a3, zero
// CHECK-OPT-NEXT: # Constant folded riscv_cf.bge
// CHECK-OPT-NEXT: scf_body_0_for:
// CHECK-OPT-NEXT: mv a4, a3
// CHECK-OPT-NEXT: li a5, 8
// CHECK-OPT-NEXT: mul a4, a4, a5 # multiply by element size
// CHECK-OPT-NEXT: add a4, t4, a4
// CHECK-OPT-NEXT: fld ft0, 0(a4) # load double from memref of shape (1, 161)
// CHECK-OPT-NEXT: li a4, 161
// CHECK-OPT-NEXT: mul a4, t5, a4
// CHECK-OPT-NEXT: add a4, a4, a3
// CHECK-OPT-NEXT: li a5, 8
// CHECK-OPT-NEXT: mul a4, a4, a5 # multiply by element size
// CHECK-OPT-NEXT: add a4, t3, a4
// CHECK-OPT-NEXT: fld ft1, 0(a4) # load double from memref of shape (5, 161)
// CHECK-OPT-NEXT: mv a4, t5
// CHECK-OPT-NEXT: li a5, 8
// CHECK-OPT-NEXT: mul a4, a4, a5 # multiply by element size
// CHECK-OPT-NEXT: add a4, t2, a4
// CHECK-OPT-NEXT: fld ft2, 0(a4) # load double from memref of shape (1, 5)
// CHECK-OPT-NEXT: fmadd.d ft0, ft0, ft1, ft2
// CHECK-OPT-NEXT: mv a4, t5
// CHECK-OPT-NEXT: li a5, 8
// CHECK-OPT-NEXT: mul a4, a4, a5 # multiply by element size
// CHECK-OPT-NEXT: add a4, t2, a4
// CHECK-OPT-NEXT: fsd ft0, 0(a4) # store double value to memref of shape (1, 5)
// CHECK-OPT-NEXT: addi a3, a3, 1
// CHECK-OPT-NEXT: blt a3, t0, scf_body_0_for
// CHECK-OPT-NEXT: scf_body_end_0_for:
// CHECK-OPT-NEXT: addi t5, t5, 1
// CHECK-OPT-NEXT: blt t5, t6, scf_body_1_for
// CHECK-OPT-NEXT: scf_body_end_1_for:
// CHECK-OPT-NEXT: ret
48 changes: 0 additions & 48 deletions tests/transforms/test_test_lower_linalg_to_snitch.py

This file was deleted.

61 changes: 2 additions & 59 deletions xdsl/transforms/test_lower_linalg_to_snitch.py
Original file line number Diff line number Diff line change
@@ -1,4 +1,4 @@
from dataclasses import dataclass, field
from dataclasses import dataclass

from xdsl.backend.riscv.lowering import (
convert_arith_to_riscv,
Expand Down Expand Up @@ -96,73 +96,16 @@
memref_streamify.MemrefStreamifyPass(),
)

MAX_OPT_LEVEL = len(LINALG_SNITCH_OPTIMIZATION_PASSES)


def get_excluded_passes(
optimization_level: int = MAX_OPT_LEVEL,
) -> tuple[ModulePass, ...]:
"""
This function determines which optimization passes should be excluded from the
lowering pipeline based on the specified optimization level. A higher optimization
level includes more passes.

Args:
optimization_level (int): The desired optimization level, ranging from 0 to
4 (inclusive). Defaults to 4.

Returns:
tuple[ModulePass, ...]: A tuple containing the ModulePass objects to be excluded
from the lowering pipeline.
"""

if optimization_level == MAX_OPT_LEVEL:
return ()

return (
LINALG_SNITCH_OPTIMIZATION_PASSES[:-optimization_level]
if optimization_level
else LINALG_SNITCH_OPTIMIZATION_PASSES
)


def get_passes(optimization_level: int = MAX_OPT_LEVEL) -> tuple[ModulePass, ...]:
"""
This function returns a tuple of ModulePass objects to be applied in the lowering
pipeline, based on the specified optimization level.

Args:
optimization_level (int): The desired optimization level, ranging from 0 to
4 (inclusive). Defaults to 4.

Returns:
tuple[ModulePass, ...]: A tuple containing the ModulePass objects to be applied
in the lowering pipeline.
"""

excluded_passes = get_excluded_passes(optimization_level)
return tuple(
p for p in TEST_LOWER_LINALG_TO_SNITCH_PASSES if p not in excluded_passes
)


@dataclass(frozen=True)
class TestLowerLinalgToSnitchPass(ModulePass):
"""
A compiler pass used for testing lowering microkernels from linalg generic to snitch
assembly.

Args:
optimization_level (int): The desired optimization level, ranging from 0 to
4 (inclusive). Defaults to 4.
"""

name = "test-lower-linalg-to-snitch"

optimization_level: int = field(default=MAX_OPT_LEVEL)

def apply(self, ctx: MLContext, op: builtin.ModuleOp) -> None:
passes = get_passes(self.optimization_level)

for p in passes:
for p in TEST_LOWER_LINALG_TO_SNITCH_PASSES:
p.apply(ctx, op)
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