forked from mindspore-Ecosystem/mindspore
161 lines
3.7 KiB
Python
161 lines
3.7 KiB
Python
# Copyright 2021 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 """
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import math
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import numpy as np
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from mindspore import ms_function, context, Tensor, nn
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context.set_context(mode=context.GRAPH_MODE)
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def test_fallback_abs_integer():
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"""
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Feature: JIT Fallback
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Description: Test abs(int) in graph mode
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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
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return abs(x)
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assert foo() == 1
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def test_fallback_abs_float():
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"""
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Feature: JIT Fallback
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Description: Test abs(float) in graph mode
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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 = -1.0
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return abs(x)
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assert math.isclose(foo(), 1.0, abs_tol=1e-5)
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def test_fallback_abs_complex():
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"""
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Feature: JIT Fallback
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Description: Test abs(complex) in graph mode
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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 = complex(-1, 2)
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return abs(x)
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assert math.isclose(foo(), abs(-1 + 2j), abs_tol=1e-5)
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def test_fallback_abs_numpy():
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"""
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Feature: JIT Fallback
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Description: Test abs(np.array) in graph mode
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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 = abs(np.array([1, -2, 3])) + 1
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return Tensor(x)
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assert np.all(foo().asnumpy() == abs(np.array([-1, 2, -3]))) + 1
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def test_fallback_abs_cell_construct_tensor():
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"""
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Feature: JIT Fallback
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Description: Test abs(Tensor) the tensor is construct in construct function in graph mode
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Expectation: No exception
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"""
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class TestCell(nn.Cell):
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def construct(self):
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x = Tensor([-1, 2])
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return abs(x)
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test_cell = TestCell()
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assert np.all(test_cell().asnumpy() == np.array([1, 2]))
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def test_fallback_abs_cell_init_tensor():
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"""
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Feature: JIT Fallback
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Description: Test abs(Tensor) the tensor is construct in construct function in graph mode
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Expectation: No exception
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"""
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class TestCell(nn.Cell):
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def __init__(self):
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super(TestCell, self).__init__()
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self.x = Tensor([-1, 2])
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def construct(self):
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return abs(self.x)
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test_cell = TestCell()
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assert np.allclose(test_cell().asnumpy(), np.array([1, 2]))
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def test_fallback_abs_ms_function_tensor():
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"""
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Feature: JIT Fallback
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Description: Test abs(Tensor) the tensor is construct in ms_function
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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 = abs(Tensor(np.array([1, -2, 3])))
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return x
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assert np.allclose(foo().asnumpy(), abs(np.array([-1, 2, -3])))
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def test_fallback_isolated_node():
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"""
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Feature: JIT Fallback
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Description: Test abs(Tensor) the tensor is construct in ms_function
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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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a = abs(-1)
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abs(2)
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return a
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assert foo() == 1
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def test_fallback_tensor_one_element():
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"""
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Feature: JIT Fallback
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Description: Test abs(Tensor) the tensor is construct in ms_function
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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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a = abs(Tensor(-1))
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return a
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assert foo() == 1
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