forked from mindspore-Ecosystem/mindspore
77 lines
2.5 KiB
Python
77 lines
2.5 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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import pytest
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import numpy as np
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from mindspore import context, nn, Tensor
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from mindspore.ops import operations as P
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from mindspore.common.parameter import Parameter
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class NetValueNodeWithDepend(nn.Cell):
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def construct(self, input_x):
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print(input_x[1][1])
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output = input_x[1]
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output[1] = 0
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return output
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class NetSubGraphOutputWithLoad(nn.Cell):
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def __init__(self):
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super(NetSubGraphOutputWithLoad, self).__init__()
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self.bias = Parameter(Tensor(np.ones([10])).astype(np.float32), name="bias1")
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self.biass_add1 = P.BiasAdd()
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self.biass_add2 = P.BiasAdd()
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def construct(self, input_x):
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output = self.biass_add1(input_x, self.bias)
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output = self.biass_add2(output, self.bias)
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return output
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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_value_node_with_depend():
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"""
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Feature: Runtime special output.
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Description: Test the output is the depend with value node, that the value can't be converted the tensor.
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Expectation: Not throw exception.
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"""
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context.set_context(mode=context.GRAPH_MODE)
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x = [[1, 2, 3, 4], [5, 6, 7, 8]]
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net = NetValueNodeWithDepend()
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output = net(x)
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assert output == (5, 0, 7, 8)
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@pytest.mark.level0
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@pytest.mark.platform_x86_gpu_training
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@pytest.mark.platform_x86_ascend_training
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@pytest.mark.env_onecard
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def test_subgraph_output_with_load():
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"""
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Feature: Runtime special subgraph output.
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Description: Test the subgraph output is the load node.
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Expectation: Not throw exception.
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"""
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context.set_context(mode=context.GRAPH_MODE)
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x = Tensor(np.ones([32, 10])).astype(np.float32)
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net1 = NetSubGraphOutputWithLoad()
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output1 = net1(x)
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net2 = NetSubGraphOutputWithLoad()
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net2.biass_add2.add_prim_attr("primitive_target", "CPU")
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output2 = net2(x)
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assert (output1 == output2).all()
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