torch-mlir/frontends/pytorch/test/node_import/if.py

55 lines
2.0 KiB
Python

# -*- Python -*-
# This file is licensed under a pytorch-style license
# See frontends/pytorch/LICENSE for license information.
import torch
import torch_mlir
# RUN: %PYTHON %s | npcomp-opt | FileCheck %s
mb = torch_mlir.ModuleBuilder()
# CHECK-LABEL: @__torch__.prim_If(
# CHECK-SAME: %[[B:.*]]: !torch.bool,
# CHECK-SAME: %[[I:.*]]: i64) -> i64 {
@mb.import_function
@torch.jit.script
def prim_If(b: bool, i: int):
# CHECK: %[[I1:.*]] = torch.to_i1 %[[B]]
# CHECK: %[[RES:.*]] = scf.if %[[I1]] -> (i64) {
# CHECK: %[[ADD:.*]] = torch.aten.add.int %[[I]], %[[I]]
# CHECK: scf.yield %[[ADD]] : i64
# CHECK: } else {
# CHECK: %[[MUL:.*]] = torch.aten.mul.int %[[I]], %[[I]]
# CHECK: scf.yield %[[MUL]] : i64
# CHECK: }
# CHECK: return %[[RES:.*]] : i64
if b:
return i + i
else:
return i * i
# elif is modeled as a nested if, so no need to specially test it here.
# CHECK-LABEL: func @__torch__.prim_If_derefine(
# CHECK-SAME: %[[B:.*]]: !torch.bool,
# CHECK-SAME: %[[I:.*]]: i64) -> !torch.optional<i64> {
# CHECK: %[[NONE:.*]] = torch.constant.none
# CHECK: %[[PRED:.*]] = torch.to_i1 %[[B]]
# CHECK: %[[RES:.*]] = scf.if %[[PRED]] -> (!torch.optional<i64>) {
# CHECK: %[[NONE_DEREFINED:.*]] = torch.derefine %[[NONE]] : !torch.none to !torch.optional<i64>
# CHECK: scf.yield %[[NONE_DEREFINED]] : !torch.optional<i64>
# CHECK: } else {
# CHECK: %[[I_DEREFINED:.*]] = torch.derefine %[[I]] : i64 to !torch.optional<i64>
# CHECK: scf.yield %[[I_DEREFINED]] : !torch.optional<i64>
# CHECK: }
# CHECK: return %[[RES:.*]] : !torch.optional<i64>
@mb.import_function
@torch.jit.script
def prim_If_derefine(b: bool, i: int):
if b:
return None
return i
mb.module.operation.print()
print()