forked from huawei/mindspore2022
93 lines
2.7 KiB
Python
93 lines
2.7 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_parse_numpy """
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import os
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import shutil
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import subprocess
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import pytest
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import numpy as np
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import mindspore as ms
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from mindspore import nn
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from mindspore import context
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from mindspore import ms_function
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from mindspore import Tensor
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from tests.security_utils import security_off_wrap
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def find_files(file, para):
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output = subprocess.check_output(
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["grep '%s' %s | wc -l" % (para, file)],
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shell=True)
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out = str(output, 'utf-8').strip()
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return out
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def remove_path(path):
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if os.path.exists(path):
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shutil.rmtree(path)
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@security_off_wrap
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def test_ms_function():
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@ms_function
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def add(x):
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return x + 1
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context.set_context(mode=context.GRAPH_MODE)
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context.set_context(save_graphs=True, save_graphs_path="ir_dump_path")
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input1 = np.random.randn(5, 5)
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add(Tensor(input1, ms.float32))
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result = find_files("./ir_dump_path/*validate*.ir", "test_debug_info.py(46)/ return x + 1/")
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assert result == '2'
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remove_path("./ir_dump_path/")
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context.set_context(save_graphs=False)
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@security_off_wrap
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def test_cell_ms_function():
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class Net(nn.Cell):
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@ms_function
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def construct(self, x):
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return x
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context.set_context(mode=context.GRAPH_MODE)
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context.set_context(save_graphs=True, save_graphs_path="ir_dump_path")
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input1 = np.random.randn(5, 5)
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net = Net()
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net(Tensor(input1, ms.float32))
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result = find_files("./ir_dump_path/*validate*.ir", "test_debug_info.py(64)/ return x/")
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assert result == '1'
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remove_path("./ir_dump_path/")
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context.set_context(save_graphs=False)
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def test_parse_slice_location():
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"""
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Feature: parse location.
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Description: Test Slice node will be parsed with correct location.
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Expectation: TypeError.
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"""
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class Net(nn.Cell):
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def construct(self, x):
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return x[1.2:]
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context.set_context(mode=context.GRAPH_MODE)
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input1 = Tensor((1, 2, 3))
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net = Net()
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with pytest.raises(TypeError) as ex:
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net(input1)
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assert "return x[1.2:]" in str(ex.value)
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