forked from mindspore-Ecosystem/mindspore
777 lines
21 KiB
Python
777 lines
21 KiB
Python
# Copyright 2020-2022 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 enumerate"""
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import numpy as np
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import pytest
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import mindspore.nn as nn
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from mindspore.nn import Cell
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from mindspore.ops import composite as C
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from mindspore.ops import operations as P
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from mindspore import Tensor, ms_function
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from mindspore import context
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def test_list_index_1d():
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"""
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Feature: List index assign
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Description: Test list assign in pynative mode
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Expectation: No exception.
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"""
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context.set_context(mode=context.PYNATIVE_MODE)
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class Net(nn.Cell):
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def construct(self):
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list_ = [[1], [2, 2], [3, 3, 3]]
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list_[0] = [100]
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return list_
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net = Net()
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out = net()
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assert list(out[0]) == [100]
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assert list(out[1]) == [2, 2]
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assert list(out[2]) == [3, 3, 3]
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context.set_context(mode=context.GRAPH_MODE)
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net = Net()
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out = net()
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assert list(out[0]) == [100]
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assert list(out[1]) == [2, 2]
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assert list(out[2]) == [3, 3, 3]
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def test_list_neg_index_1d():
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"""
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Feature: List index assign
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Description: Test list assign in pynative mode
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Expectation: No exception.
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"""
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context.set_context(mode=context.PYNATIVE_MODE)
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class Net(nn.Cell):
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def construct(self):
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list_ = [[1], [2, 2], [3, 3, 3]]
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list_[-3] = [100]
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return list_
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net = Net()
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out = net()
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assert list(out[0]) == [100]
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assert list(out[1]) == [2, 2]
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assert list(out[2]) == [3, 3, 3]
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context.set_context(mode=context.GRAPH_MODE)
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out = net()
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assert list(out[0]) == [100]
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assert list(out[1]) == [2, 2]
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assert list(out[2]) == [3, 3, 3]
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def test_list_index_2d():
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"""
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Feature: List index assign
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Description: Test list assign in pynative mode
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Expectation: No exception.
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"""
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context.set_context(mode=context.PYNATIVE_MODE)
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class Net(nn.Cell):
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def construct(self):
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list_ = [[1], [2, 2], [3, 3, 3]]
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list_[1][0] = 200
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list_[1][1] = 201
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return list_
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net = Net()
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out = net()
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assert list(out[0]) == [1]
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assert list(out[1]) == [200, 201]
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assert list(out[2]) == [3, 3, 3]
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context.set_context(mode=context.GRAPH_MODE)
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out = net()
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assert list(out[0]) == [1]
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assert list(out[1]) == [200, 201]
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assert list(out[2]) == [3, 3, 3]
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def test_list_neg_index_2d():
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"""
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Feature: List index assign
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Description: Test list assign in pynative mode
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Expectation: No exception.
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"""
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context.set_context(mode=context.PYNATIVE_MODE)
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class Net(nn.Cell):
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def construct(self):
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list_ = [[1], [2, 2], [3, 3, 3]]
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list_[1][-2] = 20
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list_[1][-1] = 21
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return list_
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net = Net()
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out = net()
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assert list(out[0]) == [1]
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assert list(out[1]) == [20, 21]
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assert list(out[2]) == [3, 3, 3]
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context.set_context(mode=context.GRAPH_MODE)
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out = net()
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assert list(out[0]) == [1]
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assert list(out[1]) == [20, 21]
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assert list(out[2]) == [3, 3, 3]
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def test_list_index_3d():
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"""
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Feature: List index assign
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Description: Test list assign in pynative mode
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Expectation: No exception.
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"""
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class Net(nn.Cell):
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def construct(self):
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list_ = [[1], [2, 2], [[3, 3, 3]]]
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list_[2][0][0] = 300
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list_[2][0][1] = 301
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list_[2][0][2] = 302
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return list_
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context.set_context(mode=context.PYNATIVE_MODE)
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net = Net()
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out = net()
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assert list(out[0]) == [1]
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assert list(out[1]) == [2, 2]
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assert list(out[2][0]) == [300, 301, 302]
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context.set_context(mode=context.GRAPH_MODE)
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out = net()
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assert list(out[0]) == [1]
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assert list(out[1]) == [2, 2]
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assert list(out[2][0]) == [300, 301, 302]
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def test_list_neg_index_3d():
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"""
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Feature: List index assign
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Description: Test list assign in pynative mode
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Expectation: No exception.
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"""
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context.set_context(mode=context.PYNATIVE_MODE)
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class Net(nn.Cell):
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def construct(self):
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list_ = [[1], [2, 2], [[3, 3, 3]]]
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list_[2][0][-3] = 30
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list_[2][0][-2] = 31
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list_[2][0][-1] = 32
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return list_
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net = Net()
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out = net()
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assert list(out[0]) == [1]
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assert list(out[1]) == [2, 2]
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assert list(out[2][0]) == [30, 31, 32]
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context.set_context(mode=context.GRAPH_MODE)
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out = net()
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assert list(out[0]) == [1]
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assert list(out[1]) == [2, 2]
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assert list(out[2][0]) == [30, 31, 32]
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def test_list_index_1D_parameter():
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context.set_context(mode=context.GRAPH_MODE)
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class Net(nn.Cell):
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def construct(self, x):
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list_ = [x]
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list_[0] = 100
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return list_
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net = Net()
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net(Tensor(0))
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def test_list_index_2D_parameter():
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context.set_context(mode=context.GRAPH_MODE)
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class Net(nn.Cell):
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def construct(self, x):
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list_ = [[x, x]]
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list_[0][0] = 100
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return list_
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net = Net()
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net(Tensor(0))
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def test_list_index_3D_parameter():
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context.set_context(mode=context.GRAPH_MODE)
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class Net(nn.Cell):
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def construct(self, x):
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list_ = [[[x, x]]]
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list_[0][0][0] = 100
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return list_
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net = Net()
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net(Tensor(0))
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def test_const_list_index_3D_bprop():
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context.set_context(mode=context.GRAPH_MODE)
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class Net(nn.Cell):
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def __init__(self):
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super(Net, self).__init__()
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self.value = [[1], [2, 2], [[3, 3], [3, 3]]]
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self.relu = P.ReLU()
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def construct(self, input_x):
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list_x = self.value
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list_x[2][0][1] = input_x
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return self.relu(list_x[2][0][1])
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class GradNet(nn.Cell):
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def __init__(self, net):
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super(GradNet, self).__init__()
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self.net = net
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self.grad_all_with_sens = C.GradOperation(get_all=True, sens_param=True)
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def construct(self, x, sens):
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return self.grad_all_with_sens(self.net)(x, sens)
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net = Net()
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grad_net = GradNet(net)
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x = Tensor(np.arange(2 * 3).reshape(2, 3))
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sens = Tensor(np.arange(2 * 3).reshape(2, 3))
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grad_net(x, sens)
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def test_parameter_list_index_3D_bprop():
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context.set_context(mode=context.GRAPH_MODE)
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class Net(nn.Cell):
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def __init__(self):
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super(Net, self).__init__()
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self.value = [[1], [2, 2], [[3, 3], [3, 3]]]
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self.relu = P.ReLU()
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def construct(self, x, value):
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list_value = [[x], [x, x], [[x, x], [x, x]]]
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list_value[2][0][1] = value
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return self.relu(list_value[2][0][1])
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class GradNet(nn.Cell):
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def __init__(self, net):
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super(GradNet, self).__init__()
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self.net = net
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self.grad_all_with_sens = C.GradOperation(get_all=True, sens_param=True)
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def construct(self, x, value, sens):
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return self.grad_all_with_sens(self.net)(x, value, sens)
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net = Net()
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grad_net = GradNet(net)
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x = Tensor(np.arange(2 * 3).reshape(2, 3))
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value = Tensor(np.ones((2, 3), np.int64))
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sens = Tensor(np.arange(2 * 3).reshape(2, 3))
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grad_net(x, value, sens)
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class Net1(Cell):
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def construct(self, a, b, start=None, stop=None, step=None):
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a[start:stop:step] = b[start:stop:step]
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return tuple(a)
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def compare_func1(a, b, start=None, stop=None, step=None):
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a[start:stop:step] = b[start:stop:step]
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return tuple(a)
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def test_list_slice_length_equal():
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"""
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Feature: List assign
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Description: Test list assign the size is equal
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Expectation: No exception.
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"""
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context.set_context(mode=context.PYNATIVE_MODE)
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a = [1, 2, 3, 4]
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b = [5, 6, 7, 8]
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python_out = compare_func1(a, b, 0, None, 2)
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a = [1, 2, 3, 4]
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b = [5, 6, 7, 8]
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net = Net1()
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pynative_mode_out = net(a, b, 0, None, 2)
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assert pynative_mode_out == python_out
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context.set_context(mode=context.GRAPH_MODE)
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graph_out = net(a, b, 0, None, 2)
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assert graph_out == python_out
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def test_list_slice_length_error():
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"""
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Feature: List assign
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Description: Test list assign the size is not equal
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Expectation: ValueError.
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"""
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context.set_context(mode=context.GRAPH_MODE)
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a = [1, 2, 3, 4, 5]
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b = [5, 6, 7, 8]
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net = Net1()
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with pytest.raises(ValueError) as err:
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net(a, b, 0, None, 2)
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assert "attempt to assign sequence of size 2 to extended slice of size 3" in str(err.value)
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context.set_context(mode=context.PYNATIVE_MODE)
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with pytest.raises(ValueError) as err:
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net(a, b, 0, None, 2)
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assert "attempt to assign sequence of size 2 to extended slice of size 3" in str(err.value)
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def compare_func2(a, b, start=None, stop=None, step=None):
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a[start:stop:step] = b
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return tuple(a)
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class Net2(Cell):
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def construct(self, a, b, start=None, stop=None, step=None):
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a[start:stop:step] = b
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return tuple(a)
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def test_list_slice_shrink():
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"""
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Feature: List assign
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Description: Test list slice shrink assign
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Expectation: No exception.
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"""
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context.set_context(mode=context.PYNATIVE_MODE)
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a = [1, 2, 3, 4, 5, 6, 7, 8, 9]
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b = [11, 22, 33]
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python_out = compare_func2(a, b, 0, 5)
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a = [1, 2, 3, 4, 5, 6, 7, 8, 9]
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b = [11, 22, 33]
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net = Net2()
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pynative_out = net(a, b, 0, 5)
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assert pynative_out == python_out
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a = [1, 2, 3, 4, 5, 6, 7, 8, 9]
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b = [11, 22, 33]
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context.set_context(mode=context.GRAPH_MODE)
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graph_out = net(a, b, 0, 5)
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assert graph_out == python_out
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def test_list_slice_insert():
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"""
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Feature: List assign
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Description: Test list slice insert assign
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Expectation: No exception.
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"""
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context.set_context(mode=context.PYNATIVE_MODE)
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a = [1, 2, 3, 4, 5, 6, 7, 8, 9]
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b = [11, 22, 33, 44, 55]
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python_out = compare_func2(a, b, 0, 1)
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net = Net2()
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a = [1, 2, 3, 4, 5, 6, 7, 8, 9]
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b = [11, 22, 33, 44, 55]
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pynative_out = net(a, b, 0, 1)
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assert pynative_out == python_out
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a = [1, 2, 3, 4, 5, 6, 7, 8, 9]
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b = [11, 22, 33, 44, 55]
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context.set_context(mode=context.GRAPH_MODE)
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graph_out = net(a, b, 0, 1)
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assert graph_out == python_out
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def test_list_slice_assign():
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"""
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Feature: List assign
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Description: Test list slice start and stop is larger than size
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Expectation: No exception.
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"""
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context.set_context(mode=context.PYNATIVE_MODE)
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a = [1, 2, 3, 4, 5, 6, 7, 8, 9]
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b = [11, 22, 33, 44, 55]
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python_out = compare_func2(a, b, -12, 456)
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a = [1, 2, 3, 4, 5, 6, 7, 8, 9]
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b = [11, 22, 33, 44, 55]
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net = Net2()
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pynative_out = net(a, b, -12, 456)
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assert pynative_out == python_out
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context.set_context(mode=context.GRAPH_MODE)
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graph_out = net(a, b, -12, 456)
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assert graph_out == python_out
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def test_list_slice_extend():
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"""
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Feature: List assign
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Description: Test list slice extend
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Expectation: No exception.
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"""
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context.set_context(mode=context.PYNATIVE_MODE)
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a = [1, 2, 3, 4, 5, 6, 7, 8, 9]
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b = [11, 22, 33, 44, 55]
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net = Net2()
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python_out = compare_func2(a, b, 1234, 0)
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a = [1, 2, 3, 4, 5, 6, 7, 8, 9]
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b = [11, 22, 33, 44, 55]
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pynative_out = net(a, b, 1234, 0)
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assert pynative_out == python_out
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a = [1, 2, 3, 4, 5, 6, 7, 8, 9]
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b = [11, 22, 33, 44, 55]
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context.set_context(mode=context.GRAPH_MODE)
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graph_out = net(a, b, 1234, 0)
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assert graph_out == python_out
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def test_list_slice_extend_front():
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"""
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Feature: List assign
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Description: Test list slice extend
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Expectation: No exception.
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"""
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a = [1, 2, 3, 4, 5, 6, 7, 8, 9]
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b = [11, 22, 33, 44, 55]
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python_out = compare_func2(a, b, 0, 0)
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context.set_context(mode=context.PYNATIVE_MODE)
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net = Net2()
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a = [1, 2, 3, 4, 5, 6, 7, 8, 9]
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b = [11, 22, 33, 44, 55]
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pynative_out = net(a, b, 0, 0)
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assert pynative_out == python_out
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a = [1, 2, 3, 4, 5, 6, 7, 8, 9]
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b = [11, 22, 33, 44, 55]
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context.set_context(mode=context.GRAPH_MODE)
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graph_out = net(a, b, 0, 0)
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assert graph_out == python_out
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def test_list_slice_extend_inner():
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"""
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Feature: List assign
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Description: Test list slice extend
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Expectation: No exception.
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"""
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a = [1, 2, 3, 4, 5, 6, 7, 8, 9]
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b = [11, 22, 33, 44, 55]
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python_out = compare_func2(a, b, 5, 5)
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context.set_context(mode=context.PYNATIVE_MODE)
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a = [1, 2, 3, 4, 5, 6, 7, 8, 9]
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b = [11, 22, 33, 44, 55]
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net = Net2()
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pynative_out = net(a, b, 5, 5)
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assert pynative_out == python_out
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a = [1, 2, 3, 4, 5, 6, 7, 8, 9]
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b = [11, 22, 33, 44, 55]
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context.set_context(mode=context.GRAPH_MODE)
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graph_out = net(a, b, 5, 5)
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assert graph_out == python_out
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def test_list_slice_erase():
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"""
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Feature: List assign
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Description: Test list slice erase
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Expectation: No exception.
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"""
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a = [1, 2, 3, 4, 5, 6, 7]
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python_out = compare_func2(a, [], 1, 3)
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context.set_context(mode=context.PYNATIVE_MODE)
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a = [1, 2, 3, 4, 5, 6, 7]
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net = Net2()
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pynative_out = net(a, [], 1, 3)
|
|
assert pynative_out == python_out
|
|
|
|
context.set_context(mode=context.GRAPH_MODE)
|
|
a = [1, 2, 3, 4, 5, 6, 7]
|
|
graph_out = net(a, [], 1, 3)
|
|
assert graph_out == python_out
|
|
|
|
|
|
def test_list_slice_tuple_without_step():
|
|
"""
|
|
Feature: List assign
|
|
Description: Test list slice assign with tuple
|
|
Expectation: No exception.
|
|
"""
|
|
a = [1, 2, 3, 4, 5, 6, 7, 8, 9]
|
|
b = (11, 22, 33)
|
|
python_out = compare_func2(a, b, 0, 4, None)
|
|
|
|
context.set_context(mode=context.PYNATIVE_MODE)
|
|
a = [1, 2, 3, 4, 5, 6, 7, 8, 9]
|
|
b = (11, 22, 33)
|
|
net = Net2()
|
|
pynative_out = net(a, b, 0, 4, None)
|
|
assert pynative_out == python_out
|
|
|
|
a = [1, 2, 3, 4, 5, 6, 7, 8, 9]
|
|
b = (11, 22, 33)
|
|
context.set_context(mode=context.GRAPH_MODE)
|
|
graph_out = net(a, b, 0, 4, None)
|
|
assert graph_out == python_out
|
|
|
|
|
|
def test_list_slice_tuple_with_step():
|
|
"""
|
|
Feature: List assign
|
|
Description: Test list slice assign with tuple
|
|
Expectation: No exception.
|
|
"""
|
|
|
|
a = [1, 2, 3, 4, 5, 6, 7, 8, 9]
|
|
b = (11, 22, 33)
|
|
python_out = compare_func2(a, b, 1, None, 3)
|
|
|
|
context.set_context(mode=context.PYNATIVE_MODE)
|
|
a = [1, 2, 3, 4, 5, 6, 7, 8, 9]
|
|
b = (11, 22, 33)
|
|
net = Net2()
|
|
pynative_out = net(a, b, 1, None, 3)
|
|
assert pynative_out == python_out
|
|
|
|
context.set_context(mode=context.GRAPH_MODE)
|
|
graph_out = net(a, b, 1, None, 3)
|
|
assert graph_out == python_out
|
|
|
|
|
|
def test_list_double_slice():
|
|
"""
|
|
Feature: List assign
|
|
Description: Test list double slice assign
|
|
Expectation: ValueError
|
|
"""
|
|
context.set_context(mode=context.PYNATIVE_MODE)
|
|
@ms_function
|
|
def foo(a, b, start1, stop1, step1, start2, stop2, step2):
|
|
a[start1:stop1:step1][start2: stop2: step2] = b
|
|
return a
|
|
|
|
class NetInner(Cell):
|
|
def construct(self, a, b, start1, stop1, step1, start2, stop2, step2):
|
|
a[start1:stop1:step1][start2: stop2: step2] = b
|
|
return tuple(a)
|
|
|
|
net = NetInner()
|
|
a = [1, 2, 3, 4, 5, 6, 7, 8, 9]
|
|
b = [11, 22, 33]
|
|
assert foo(a, b, 0, None, 1, 0, None, 3) == net(a, b, 0, None, 1, 0, None, 3)
|
|
|
|
|
|
def convert_tuple(a):
|
|
result = tuple()
|
|
for i in a:
|
|
if isinstance(i, list):
|
|
result += (tuple(i),)
|
|
continue
|
|
result += (i,)
|
|
return result
|
|
|
|
|
|
def test_list_in_list_slice():
|
|
"""
|
|
Feature: List assign
|
|
Description: Test high dimension list slice assign
|
|
Expectation: No exception.
|
|
"""
|
|
|
|
class TestNet(Cell):
|
|
def construct(self, a, b, index, start=None, stop=None, step=None):
|
|
a[index][start:stop:step] = b
|
|
return tuple(a)
|
|
|
|
def com_func3(a, b, index, start=None, stop=None, step=None):
|
|
a[index][start:stop:step] = b
|
|
return convert_tuple(a)
|
|
|
|
a = [1, 2, [1, 2, 3, 4, 5, 6, 7], 8, 9]
|
|
b = [1111, 2222]
|
|
python_out = com_func3(a, b, 2, 1, None, 3)
|
|
|
|
context.set_context(mode=context.PYNATIVE_MODE)
|
|
net = TestNet()
|
|
a = [1, 2, [1, 2, 3, 4, 5, 6, 7], 8, 9]
|
|
b = [1111, 2222]
|
|
pynative_out = convert_tuple(net(a, b, 2, 1, None, 3))
|
|
assert pynative_out == python_out
|
|
|
|
context.set_context(mode=context.GRAPH_MODE)
|
|
graph_out = convert_tuple(net(a, b, 2, 1, None, 3))
|
|
assert graph_out == python_out
|
|
|
|
|
|
def test_list_slice_negative_step():
|
|
"""
|
|
Feature: List assign
|
|
Description: Test negative step list slice assign
|
|
Expectation: No exception.
|
|
"""
|
|
a = [1, 2, 3, 4, 5, 6, 7, 8, 9]
|
|
b = [33, 44, 55]
|
|
python_out = compare_func2(a, b, -1, -9, -3)
|
|
|
|
context.set_context(mode=context.PYNATIVE_MODE)
|
|
net = Net2()
|
|
a = [1, 2, 3, 4, 5, 6, 7, 8, 9]
|
|
b = [33, 44, 55]
|
|
pynative_out = net(a, b, -1, -9, -3)
|
|
assert pynative_out == python_out
|
|
|
|
context.set_context(mode=context.GRAPH_MODE)
|
|
a = [1, 2, 3, 4, 5, 6, 7, 8, 9]
|
|
b = [33, 44, 55]
|
|
graph_out = net(a, b, -1, -9, -3)
|
|
assert graph_out == python_out
|
|
|
|
|
|
def test_graph_list_slice_assign_extended_number():
|
|
"""
|
|
Feature: List assign
|
|
Description: Test negative step list slice assign
|
|
Expectation: No exception.
|
|
"""
|
|
a = [1, 2, 3, 4, 5, 6]
|
|
b = 1
|
|
|
|
net = Net2()
|
|
context.set_context(mode=context.PYNATIVE_MODE)
|
|
with pytest.raises(TypeError) as err:
|
|
net(a, b, 0, None, 2)
|
|
assert "must assign iterable to extended slice" in str(err.value)
|
|
|
|
context.set_context(mode=context.GRAPH_MODE)
|
|
with pytest.raises(TypeError) as err:
|
|
net(a, b, 0, None, 2)
|
|
assert "must assign iterable to extended slice" in str(err.value)
|
|
|
|
|
|
def test_graph_list_slice_assign_number():
|
|
"""
|
|
Feature: List assign
|
|
Description: Test negative step list slice assign
|
|
Expectation: No exception.
|
|
"""
|
|
a = [1, 2, 3, 4, 5, 6]
|
|
b = 1
|
|
net = Net2()
|
|
context.set_context(mode=context.PYNATIVE_MODE)
|
|
with pytest.raises(TypeError) as err:
|
|
net(a, b, 0, None, 1)
|
|
assert "can only assign an iterable" in str(err.value)
|
|
|
|
context.set_context(mode=context.GRAPH_MODE)
|
|
with pytest.raises(TypeError) as err:
|
|
net(a, b, 0, None, 1)
|
|
assert "can only assign an iterable" in str(err.value)
|
|
|
|
|
|
def test_list_slice_negetive_error():
|
|
"""
|
|
Feature: List assign
|
|
Description: Test negative step list slice assign
|
|
Expectation: ValueError
|
|
"""
|
|
a = [1, 2, 3, 4, 5, 6, 7, 8, 9]
|
|
b = [33, 44, 55]
|
|
net = Net2()
|
|
context.set_context(mode=context.PYNATIVE_MODE)
|
|
with pytest.raises(ValueError) as err:
|
|
net(a, b, -1, -3, -3)
|
|
assert "attempt to assign sequence of size 3 to extended slice of size 1" in str(err.value)
|
|
|
|
context.set_context(mode=context.GRAPH_MODE)
|
|
with pytest.raises(ValueError) as err:
|
|
net(a, b, -1, -3, -3)
|
|
assert "attempt to assign sequence of size 3 to extended slice of size 1" in str(err.value)
|
|
|
|
|
|
def test_list_slice_negetive_step():
|
|
"""
|
|
Feature: List assign
|
|
Description: Test negative step list slice assign
|
|
Expectation: ValueError
|
|
"""
|
|
@ms_function
|
|
def ms_func():
|
|
a = [1, 2, 3, 4, 5]
|
|
b = [11, 22, 33, 44, 55]
|
|
a[-1:-4:-1] = b[-1:-4:-1]
|
|
return a
|
|
|
|
def py_func():
|
|
a = [1, 2, 3, 4, 5]
|
|
b = [11, 22, 33, 44, 55]
|
|
a[-1:-4:-1] = b[-1:-4:-1]
|
|
return tuple(a)
|
|
|
|
x = py_func()
|
|
y = ms_func()
|
|
assert x == y
|
|
|
|
|
|
def test_list_double_slice_assign_error():
|
|
"""
|
|
Feature: List assign
|
|
Description: Test negative step list slice assign
|
|
Expectation: ValueError
|
|
"""
|
|
@ms_function
|
|
def ms_func():
|
|
a = [1, 2, 3, 4, 5, 6, 7, 8, 9]
|
|
b = [11, 22, 33, 44]
|
|
a[::2][:3:2] = b
|
|
return a
|
|
|
|
with pytest.raises(ValueError) as err:
|
|
ms_func()
|
|
assert "attempt to assign sequence of size 4 to extended slice of size 2" in str(err.value)
|
|
|
|
|
|
def test_list_slice_only_with_step():
|
|
"""
|
|
Feature: List assign
|
|
Description: Test negative step list slice assign
|
|
Expectation: ValueError
|
|
"""
|
|
|
|
@ms_function
|
|
def ms_func():
|
|
a = [1, 2, 3, 4]
|
|
b = [11, 22]
|
|
a[::2] = b
|
|
return a
|
|
|
|
def py_func():
|
|
a = [1, 2, 3, 4]
|
|
b = [11, 22]
|
|
a[::2] = b
|
|
return tuple(a)
|
|
|
|
assert ms_func() == py_func()
|