60 lines
2.0 KiB
Python
60 lines
2.0 KiB
Python
# Copyright 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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import pytest
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import mindspore.nn as nn
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from mindspore import context, Tensor, Parameter, jit
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import mindspore.ops.operations as P
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import mindspore.common.dtype as mstype
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from mindspore.ops import functional as F
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context.set_context(mode=context.GRAPH_MODE)
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@pytest.mark.level1
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@pytest.mark.platform_x86_gpu_training
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@pytest.mark.env_onecard
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def test_monad_vmap():
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"""
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Feature: Auto monad feature:auto monad eliminate.
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Description: If exist special node, should not replace update_state for the load node.
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Expectation: No exception.
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"""
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class AssignNet(nn.Cell):
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def __init__(self):
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super(AssignNet, self).__init__()
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self.assign = P.Assign()
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self.value = Tensor([3, 4], mstype.int32)
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def construct(self, x):
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x = self.assign(x, self.value)
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return x
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vampfunc = F.vmap(AssignNet())
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@jit
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def test_monad(a):
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c = Tensor([[1, 2], [3, 4], [5, 6]], mstype.int32)
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out = vampfunc(a)
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c = a + c
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P.AssignAdd()(a, c)
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out2 = a
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return out, out2
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a = Parameter(Tensor([[1, 2], [3, 4], [5, 6]], mstype.int32), name='param_a')
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out = test_monad(a)
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assert (out[0].asnumpy() == [[3, 4], [3, 4], [3, 4]]).all()
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assert (out[1].asnumpy() == [[7, 10], [9, 12], [11, 14]]).all()
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