forked from mindspore-Ecosystem/mindspore
352 lines
8.9 KiB
Python
352 lines
8.9 KiB
Python
# Copyright 2021-2022 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 """
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import os
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import sys
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import time
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import tempfile
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from contextlib import contextmanager
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import pytest
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import numpy as np
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import mindspore.nn as nn
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from mindspore import Tensor, ms_function, context
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from tests.security_utils import security_off_wrap
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context.set_context(mode=context.GRAPH_MODE, device_target="Ascend")
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class Capture():
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def __init__(self):
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self._old_stdout = sys.stdout
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self._stdout_fd = sys.stdout.fileno()
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self._saved_stdout_fd = os.dup(sys.stdout.fileno())
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self._file = tempfile.TemporaryFile(mode='w+t')
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self.output = ''
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def start(self):
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os.dup2(self._file.fileno(), self._stdout_fd)
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def stop(self):
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os.dup2(self._saved_stdout_fd, self._stdout_fd)
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os.close(self._saved_stdout_fd)
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sys.stdout = self._old_stdout
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self._file.seek(0)
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self.output = self._file.read()
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self._file.close()
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@contextmanager
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def capture(cap):
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cap.start()
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try:
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yield cap
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finally:
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cap.stop()
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def check_output(output, patterns):
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assert output, "Capture output failed!"
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for pattern in patterns:
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assert output.find(pattern) != -1, "Unexpected output:\n" + output + "\n--- pattern ---\n" + pattern
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@security_off_wrap
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def test_np_print_1():
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"""
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Feature: JIT Fallback
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Description: Support print.
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Expectation: No exception.
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"""
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@ms_function
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def np_print():
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x = np.array([1, 2, 3, 4, 5])
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print("x: ", x)
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return Tensor(x)
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cap = Capture()
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with capture(cap):
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res = np_print()
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assert np.all(res.asnumpy() == np.array([1, 2, 3, 4, 5]))
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time.sleep(0.1)
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patterns = {'x: [1 2 3 4 5]'}
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check_output(cap.output, patterns)
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@security_off_wrap
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def test_np_print_2():
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"""
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Feature: JIT Fallback
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Description: Support print.
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Expectation: No exception.
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"""
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class PrintNet(nn.Cell):
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def construct(self):
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x = np.array([1, 2, 3, 4, 5])
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print("x: ", x)
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return Tensor(x)
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cap = Capture()
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with capture(cap):
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net = PrintNet()
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res = net()
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assert np.all(res.asnumpy() == np.array([1, 2, 3, 4, 5]))
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time.sleep(0.1)
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patterns = {'x: [1 2 3 4 5]'}
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check_output(cap.output, patterns)
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@security_off_wrap
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def test_tensor_print_1():
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"""
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Feature: JIT Fallback
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Description: Support print.
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Expectation: No exception.
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"""
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@ms_function
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def np_print():
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x = np.array([1, 2, 3, 4, 5])
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print("Tensor(x): ", Tensor(x))
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return Tensor(x)
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cap = Capture()
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with capture(cap):
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res = np_print()
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assert np.all(res.asnumpy() == np.array([1, 2, 3, 4, 5]))
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time.sleep(0.1)
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patterns = {'Tensor(x): \nTensor(shape=[5], dtype=Int64, value=[1 2 3 4 5])\n\n'}
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check_output(cap.output, patterns)
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@security_off_wrap
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def test_print_cnode_1():
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"""
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Feature: JIT Fallback
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Description: Support print.
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Expectation: No exception.
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"""
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@ms_function
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def print_func(x, y):
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res_sum = x + y
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print("res_sum: ", res_sum)
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return res_sum
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cap = Capture()
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with capture(cap):
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x = Tensor(np.array([1, 2, 3, 4, 5]))
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y = Tensor(np.array([1, 2, 3, 4, 5]))
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res = print_func(x, y)
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assert (res.asnumpy() == [2, 4, 6, 8, 10]).all()
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time.sleep(0.1)
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patterns = {'res_sum: \nTensor(shape=[5], dtype=Int64, value=[ 2 4 6 8 10])\n\n'}
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check_output(cap.output, patterns)
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@security_off_wrap
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def test_print_cnode_2():
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"""
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Feature: JIT Fallback
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Description: Support print.
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Expectation: No exception.
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"""
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@ms_function
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def print_func():
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x = Tensor(np.array([1, 2, 3, 4, 5]))
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y = Tensor(np.array([1, 2, 3, 4, 5]))
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res_sum = x + y
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print("res_sum: ", res_sum)
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return res_sum
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cap = Capture()
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with capture(cap):
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res = print_func()
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assert (res.asnumpy() == [2, 4, 6, 8, 10]).all()
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time.sleep(0.1)
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patterns = {'res_sum: \nTensor(shape=[5], dtype=Int64, value=[ 2 4 6 8 10])\n'}
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check_output(cap.output, patterns)
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@security_off_wrap
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def test_print_cnode_3():
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"""
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Feature: JIT Fallback
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Description: Support print.
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Expectation: No exception.
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"""
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@ms_function
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def print_func():
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x = np.array([1, 2, 3, 4, 5])
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y = np.array([1, 2, 3, 4, 5])
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res_sum = x + y
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print("res_sum: ", res_sum)
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return Tensor(res_sum)
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cap = Capture()
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with capture(cap):
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res = print_func()
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assert (res.asnumpy() == [2, 4, 6, 8, 10]).all()
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time.sleep(0.1)
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patterns = {'res_sum: [ 2 4 6 8 10]'}
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check_output(cap.output, patterns)
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@security_off_wrap
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def test_print_validate_tuple():
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"""
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Feature: JIT Fallback
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Description: Support print.
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Expectation: No exception.
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"""
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@ms_function
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def print_func():
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x = Tensor(np.array([1, 2, 3, 4, 5]))
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y = Tensor(np.array([1, 2, 3, 4, 5]))
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tensor_sum = x + y
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print("tensor_sum: ", tensor_sum)
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np_x = np.array([1, 2, 3, 4, 5])
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np_y = np.array([1, 2, 3, 4, 5])
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np_sum = np_x + np_y
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print("np_sum: ", np_sum)
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return tensor_sum, np_sum
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with pytest.raises(RuntimeError) as err:
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res1, res2 = print_func()
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print("res1: ", res1)
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print("res2: ", res2)
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assert "Should not use Python object in runtime" in str(err.value)
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@security_off_wrap
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def test_print_validate():
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"""
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Feature: JIT Fallback
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Description: Support print.
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Expectation: No exception.
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"""
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@ms_function
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def print_func():
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np_x = np.array([1, 2, 3, 4, 5])
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np_y = np.array([1, 2, 3, 4, 5])
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np_sum = np_x + np_y
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print("np_sum: ", np_sum)
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return np_sum
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with pytest.raises(RuntimeError) as err:
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res = print_func()
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print("res: ", res)
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assert "Should not use Python object in runtime" in str(err.value)
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@security_off_wrap
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def test_print_format_np():
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"""
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Feature: JIT Fallback
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Description: Support print.
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Expectation: No exception.
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"""
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@ms_function
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def print_func():
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np_x = np.array([1, 2, 3, 4, 5])
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np_y = np.array([1, 2, 3, 4, 5])
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np_sum = np_x + np_y
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print("np_sum: {}".format(np_sum))
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return Tensor(np_sum)
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cap = Capture()
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with capture(cap):
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res = print_func()
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assert (res.asnumpy() == [2, 4, 6, 8, 10]).all()
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time.sleep(0.1)
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patterns = {'np_sum: [ 2 4 6 8 10]'}
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check_output(cap.output, patterns)
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@security_off_wrap
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def test_print_format_tensor():
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"""
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Feature: JIT Fallback
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Description: Support print.
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Expectation: No exception.
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"""
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@ms_function
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def print_func():
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x = Tensor(np.array([1, 2, 3, 4, 5]))
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y = Tensor(np.array([1, 2, 3, 4, 5]))
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tensor_sum = x + y
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print("tensor_sum: {}".format(tensor_sum))
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return tensor_sum
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cap = Capture()
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with capture(cap):
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res = print_func()
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assert (res.asnumpy() == [2, 4, 6, 8, 10]).all()
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time.sleep(0.1)
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patterns = {'tensor_sum: Tensor(shape=[5], dtype=Int64, value=[ 2 4 6 8 10])\n'}
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check_output(cap.output, patterns)
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@security_off_wrap
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def test_print_string_format():
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"""
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Feature: JIT Fallback
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Description: Support print(string % var).
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Expectation: No exception.
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"""
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@ms_function
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def print_func():
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print("I'm %s. I'm %d years old." % ('MindSpore', 3))
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return 0
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cap = Capture()
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with capture(cap):
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res = print_func()
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assert res == 0
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time.sleep(0.1)
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patterns = {"I'm MindSpore. I'm 3 years old.\n"}
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check_output(cap.output, patterns)
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@security_off_wrap
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def test_print_string_add_string():
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"""
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Feature: JIT Fallback
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Description: Support print(string + string).
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Expectation: No exception.
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"""
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def name():
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return "MindSpore"
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@ms_function
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def print_func():
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print("I'm " + name() + ". I'm 3 years old.")
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return 0
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cap = Capture()
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with capture(cap):
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res = print_func()
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assert res == 0
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time.sleep(0.1)
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patterns = {"I'm MindSpore. I'm 3 years old.\n"}
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check_output(cap.output, patterns)
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