forked from mindspore-Ecosystem/mindspore
188 lines
4.3 KiB
Python
188 lines
4.3 KiB
Python
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# Copyright 2022 Huawei Technologies Co., Ltd
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ============================================================================
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""" test graph fallback buildin python function bool"""
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import pytest
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import numpy as np
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from mindspore import ms_function, context, Tensor
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context.set_context(mode=context.GRAPH_MODE)
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def test_fallback_bool_with_input_tensor():
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"""
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Feature: JIT Fallback
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Description: Test bool() in graph mode with tensor input.
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Expectation: No exception.
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"""
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@ms_function
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def foo(x):
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return bool(x)
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with pytest.raises(ValueError) as ex:
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foo(Tensor([1, 2, 4]))
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assert "The truth value of an array with" in str(ex.value)
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def test_fallback_bool_with_input_tensor_3():
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"""
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Feature: JIT Fallback
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Description: Test bool() in graph mode with tensor input.
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Expectation: No exception.
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"""
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@ms_function
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def foo():
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x = Tensor([0])
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return bool(x)
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assert not foo()
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def test_fallback_bool_with_input_tensor_4():
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"""
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Feature: JIT Fallback
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Description: Test bool() in graph mode with tensor input.
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Expectation: No exception.
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"""
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@ms_function
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def foo():
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x = Tensor([1, 2, 3])
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return bool(x)
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with pytest.raises(ValueError) as ex:
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foo()
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assert "The truth value of an array with" in str(ex.value)
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def test_fallback_bool_with_input_scalar():
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"""
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Feature: JIT Fallback
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Description: Test bool() in graph mode with scalar input.
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Expectation: No exception.
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"""
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@ms_function
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def foo():
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return bool(10.0)
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assert foo()
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def test_fallback_bool_with_input_list():
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"""
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Feature: JIT Fallback
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Description: Test bool() in graph mode with list input.
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Expectation: No exception.
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"""
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@ms_function
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def foo():
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x = [1, 2, 3]
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return bool(x)
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assert foo()
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def test_fallback_bool_with_input_list_2():
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"""
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Feature: JIT Fallback
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Description: Test bool() in graph mode with list input.
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Expectation: No exception.
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"""
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@ms_function
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def foo(a):
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x = [1, 2, 3, a]
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return bool(x)
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assert foo(Tensor([1, 2, 3]))
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def test_fallback_bool_with_input_string():
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"""
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Feature: JIT Fallback
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Description: Test bool() in graph mode with string input.
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Expectation: No exception.
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"""
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@ms_function
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def foo():
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return bool("test")
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assert foo()
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def test_fallback_bool_with_input_string_2():
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"""
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Feature: JIT Fallback
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Description: Test bool() in graph mode with string input.
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Expectation: No exception.
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"""
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@ms_function
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def foo():
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return bool("")
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assert not foo()
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def test_fallback_bool_with_input_numpy():
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"""
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Feature: JIT Fallback
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Description: Test bool() in graph mode with numpy input.
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Expectation: No exception.
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"""
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@ms_function
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def foo():
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x = np.array([1, 2, 3, 4])
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return bool(x)
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with pytest.raises(ValueError) as ex:
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foo()
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assert "The truth value of an array" in str(ex.value)
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def test_fallback_bool_with_input_numpy_2():
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"""
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Feature: JIT Fallback
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Description: Test bool() in graph mode with numpy input.
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Expectation: No exception.
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"""
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@ms_function
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def foo():
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x = np.array([1,])
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return bool(x)
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assert foo()
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def test_fallback_bool_with_no_input():
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"""
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Feature: JIT Fallback
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Description: Test bool() in graph mode with no input.
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Expectation: No exception.
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"""
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@ms_function
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def foo():
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return bool()
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assert not foo()
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def test_fallback_bool_with_type_input():
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"""
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Feature: JIT Fallback
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Description: Test bool() in graph mode with type input.
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Expectation: No exception.
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"""
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@ms_function
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def foo():
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return bool(int)
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assert foo()
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