blob: c706b7b206df69a14e2d0fb6e214640eb240a603 [file]
# Copyright (c) Meta Platforms, Inc. and affiliates.
# Copyright 2024 Arm Limited and/or its affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
import unittest
from typing import Tuple
import torch
from executorch.backends.arm.test import common
from executorch.backends.arm.test.tester.arm_tester import ArmTester
from executorch.exir.backend.backend_details import CompileSpec
from parameterized import parameterized
test_data_suite = [
# (test_name, test_data)
("zeros", torch.zeros(1, 10, 10, 10)),
("ones", torch.ones(10, 10, 10)),
("rand", torch.rand(10, 10) - 0.5),
("randn_pos", torch.randn(10) + 10),
("randn_neg", torch.randn(10) - 10),
("ramp", torch.arange(-16, 16, 0.2)),
]
class TestExp(unittest.TestCase):
"""Tests lowering of aten.exp"""
class Exp(torch.nn.Module):
def forward(self, x: torch.Tensor) -> torch.Tensor:
return torch.exp(x)
def _test_exp_tosa_MI_pipeline(
self, module: torch.nn.Module, test_data: Tuple[torch.tensor]
):
(
ArmTester(
module,
example_inputs=test_data,
compile_spec=common.get_tosa_compile_spec("TOSA-0.80.0+MI"),
)
.export()
.check(["torch.ops.aten.exp.default"])
.check_not(["torch.ops.quantized_decomposed"])
.to_edge()
.partition()
.check_not(["executorch_exir_dialects_edge__ops_aten_exp_default"])
.check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
.to_executorch()
.run_method_and_compare_outputs(inputs=test_data)
)
def _test_exp_tosa_BI_pipeline(self, module: torch.nn.Module, test_data: Tuple):
(
ArmTester(
module,
example_inputs=test_data,
compile_spec=common.get_tosa_compile_spec("TOSA-0.80.0+BI"),
)
.quantize()
.export()
.check(["torch.ops.aten.exp.default"])
.check(["torch.ops.quantized_decomposed"])
.to_edge()
.partition()
.check_not(["executorch_exir_dialects_edge__ops_aten_exp_default"])
.check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
.to_executorch()
.run_method_and_compare_outputs(inputs=test_data)
)
def _test_exp_ethosu_BI_pipeline(
self,
compile_spec: CompileSpec,
module: torch.nn.Module,
test_data: Tuple[torch.tensor],
):
(
ArmTester(
module,
example_inputs=test_data,
compile_spec=common.get_u55_compile_spec(),
)
.quantize()
.export()
.check_count({"torch.ops.aten.exp.default": 1})
.check(["torch.ops.quantized_decomposed"])
.to_edge()
.partition()
.check_not(["executorch_exir_dialects_edge__ops_aten_exp_default"])
.check_count({"torch.ops.higher_order.executorch_call_delegate": 1})
.to_executorch()
)
@parameterized.expand(test_data_suite)
def test_exp_tosa_MI(
self,
test_name: str,
test_data: torch.Tensor,
):
self._test_exp_tosa_MI_pipeline(self.Exp(), (test_data,))
@parameterized.expand(test_data_suite)
def test_exp_tosa_BI(self, test_name: str, test_data: torch.Tensor):
self._test_exp_tosa_BI_pipeline(self.Exp(), (test_data,))
@parameterized.expand(test_data_suite)
def test_exp_tosa_u55_BI(self, test_name: str, test_data: torch.Tensor):
self._test_exp_ethosu_BI_pipeline(
common.get_u55_compile_spec(), self.Exp(), (test_data,)
)
@parameterized.expand(test_data_suite)
def test_exp_tosa_u85_BI(self, test_name: str, test_data: torch.Tensor):
self._test_exp_ethosu_BI_pipeline(
common.get_u85_compile_spec(), self.Exp(), (test_data,)
)