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# Copyright © 2021 Arm Ltd and Contributors. All rights reserved.
# SPDX-License-Identifier: MIT
import pytest
from pyarmnn import BackendOptions, BackendOption, BackendId, OptimizerOptions, ShapeInferenceMethod_InferAndValidate
@pytest.mark.parametrize("data", (True, -100, 128, 0.12345, 'string'))
def test_backend_option_ctor(data):
bo = BackendOption("name", data)
assert "name" == bo.GetName()
def test_backend_options_ctor():
backend_id = BackendId('a')
bos = BackendOptions(backend_id)
assert 'a' == str(bos.GetBackendId())
another_bos = BackendOptions(bos)
assert 'a' == str(another_bos.GetBackendId())
def test_backend_options_add():
backend_id = BackendId('a')
bos = BackendOptions(backend_id)
bo = BackendOption("name", 1)
bos.AddOption(bo)
assert 1 == bos.GetOptionCount()
assert 1 == len(bos)
assert 'name' == bos[0].GetName()
assert 'name' == bos.GetOption(0).GetName()
for option in bos:
assert 'name' == option.GetName()
bos.AddOption(BackendOption("name2", 2))
assert 2 == bos.GetOptionCount()
assert 2 == len(bos)
def test_backend_option_ownership():
backend_id = BackendId('b')
bos = BackendOptions(backend_id)
bo = BackendOption('option', True)
bos.AddOption(bo)
assert bo.thisown
del bo
assert 1 == bos.GetOptionCount()
option = bos[0]
assert not option.thisown
assert 'option' == option.GetName()
del option
option_again = bos[0]
assert not option_again.thisown
assert 'option' == option_again.GetName()
def test_optimizer_options_with_model_opt():
a = BackendOptions(BackendId('a'))
oo = OptimizerOptions(True,
False,
False,
ShapeInferenceMethod_InferAndValidate,
True,
[a],
True)
mo = oo.m_ModelOptions
assert 1 == len(mo)
assert 'a' == str(mo[0].GetBackendId())
b = BackendOptions(BackendId('b'))
c = BackendOptions(BackendId('c'))
oo.m_ModelOptions = (a, b, c)
mo = oo.m_ModelOptions
assert 3 == len(oo.m_ModelOptions)
assert 'a' == str(mo[0].GetBackendId())
assert 'b' == str(mo[1].GetBackendId())
assert 'c' == str(mo[2].GetBackendId())
def test_optimizer_option_default():
oo = OptimizerOptions(True,
False,
False,
ShapeInferenceMethod_InferAndValidate,
True)
assert 0 == len(oo.m_ModelOptions)
def test_optimizer_options_fail():
a = BackendOptions(BackendId('a'))
with pytest.raises(TypeError) as err:
OptimizerOptions(True,
False,
False,
ShapeInferenceMethod_InferAndValidate,
True,
a,
True)
assert "Wrong number or type of arguments" in str(err.value)
with pytest.raises(RuntimeError) as err:
OptimizerOptions(True,
False,
True,
ShapeInferenceMethod_InferAndValidate,
True,
[a],
True)
assert "BFloat16 and Float16 optimization cannot be enabled at the same time" in str(err.value)
with pytest.raises(TypeError) as err:
oo = OptimizerOptions(True,
False,
False,
ShapeInferenceMethod_InferAndValidate,
True)
oo.m_ModelOptions = 'nonsense'
assert "in method 'OptimizerOptions_m_ModelOptions_set', argument 2" in str(err.value)
with pytest.raises(TypeError) as err:
oo = OptimizerOptions(True,
False,
False,
ShapeInferenceMethod_InferAndValidate,
True)
oo.m_ModelOptions = ['nonsense', a]
assert "in method 'OptimizerOptions_m_ModelOptions_set', argument 2" in str(err.value)
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