torch-mlir/e2e_testing/torchscript/scalar.py

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# Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
# See https://llvm.org/LICENSE.txt for license information.
# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
# Also available under a BSD-style license. See LICENSE.
import torch
from torch_mlir_e2e_test.torchscript.framework import TestUtils
from torch_mlir_e2e_test.torchscript.registry import register_test_case
from torch_mlir_e2e_test.torchscript.annotations import annotate_args, export
class AddIntModule(torch.nn.Module):
def __init__(self):
super().__init__()
@export
@annotate_args([
None,
([], torch.int64, True),
([], torch.int64, True),
])
def forward(self, lhs, rhs):
return int(lhs)+int(rhs)
class SubIntModule(torch.nn.Module):
def __init__(self):
super().__init__()
@export
@annotate_args([
None,
([], torch.int64, True),
([], torch.int64, True),
])
def forward(self, lhs, rhs):
return int(lhs)-int(rhs)
class MulIntModule(torch.nn.Module):
def __init__(self):
super().__init__()
@export
@annotate_args([
None,
([], torch.int64, True),
([], torch.int64, True),
])
def forward(self, lhs, rhs):
return int(lhs)*int(rhs)
@register_test_case(module_factory=lambda: AddIntModule())
def AddIntModule_basic(module, tu: TestUtils):
module.forward(torch.randint(-100, 100,()), torch.randint(-100, 100,()))
@register_test_case(module_factory=lambda: SubIntModule())
def SubIntModule_basic(module, tu: TestUtils):
module.forward(torch.randint(-100, 100,()), torch.randint(-100, 100,()))
@register_test_case(module_factory=lambda: MulIntModule())
def MulIntModule_basic(module, tu: TestUtils):
module.forward(torch.randint(-100, 100,()), torch.randint(-100, 100,()))