forked from mindspore-Ecosystem/mindspore
62 lines
1.7 KiB
Python
62 lines
1.7 KiB
Python
import pytest
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from mindspore.nn import Cell
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from mindspore import Tensor
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from mindspore import context
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@pytest.mark.level0
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@pytest.mark.platform_x86_cpu
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@pytest.mark.env_onecard
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def test_pynative_list_slice_tensor_no_step():
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"""
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Feature: List assign
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Description: Test list slice assign with tensor
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Expectation: No exception.
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"""
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class NetInner(Cell):
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def construct(self, start=None, stop=None, step=None):
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a = [1, 2, 3, 4, 5, 6, 7, 8, 9]
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b = Tensor([11, 22, 33])
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a[start:stop:step] = b
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return tuple(a)
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context.set_context(mode=context.PYNATIVE_MODE)
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net = NetInner()
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python_out = (Tensor(11), Tensor(22), Tensor(33), 4, 5, 6, 7, 8, 9)
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pynative_out = net(0, 3, None)
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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(0, 3, None)
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assert graph_out == python_out
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@pytest.mark.level0
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@pytest.mark.platform_x86_cpu
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@pytest.mark.env_onecard
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def test_pynative_list_slice_tensor_with_step():
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"""
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Feature: List assign
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Description: Test list slice assign with tensor
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Expectation: No exception.
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"""
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class NetInner(Cell):
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def construct(self, start=None, stop=None, step=None):
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a = [1, 2, 3, 4, 5, 6, 7, 8, 9]
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b = Tensor([11, 22, 33])
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a[start:stop:step] = b
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return tuple(a)
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context.set_context(mode=context.PYNATIVE_MODE)
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net = NetInner()
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python_out = (Tensor(11), 2, 3, Tensor(22), 5, 6, Tensor(33), 8, 9)
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pynative_out = net(0, None, 3)
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assert python_out == pynative_out
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context.set_context(mode=context.GRAPH_MODE)
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graph_out = net(0, None, 3)
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assert python_out == graph_out
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