forked from mindspore-Ecosystem/mindspore
49 lines
1.8 KiB
Python
49 lines
1.8 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 as ms
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import mindspore.nn as nn
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from mindspore import context, Tensor, Parameter
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from mindspore.experimental import MapParameter
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from mindspore.common.initializer import initializer
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@pytest.mark.level0
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@pytest.mark.platform_x86_gpu_training
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@pytest.mark.env_onecard
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def test_simple_graph_compile_export():
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"""
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Feature: MapParameter
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Description: Test IR graph compiled with MapParameter, and export api.
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Expectation: IR graph with MapParameter created without exceptions.
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"""
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class MyNet(nn.Cell):
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def __init__(self):
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nn.Cell.__init__(self)
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self.p = Parameter(initializer('ones', (2, 3), ms.float32))
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self.m = MapParameter(key_dtype=ms.int32, value_dtype=ms.float32, value_shape=(3,))
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self.keys = Tensor([1, 2], dtype=ms.int32)
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self.values = Tensor([[11, 11, 11], [22, 22, 22]], dtype=ms.float32)
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def construct(self):
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return self.p, self.m
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context.set_context(mode=context.GRAPH_MODE, device_target="GPU")
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net = MyNet()
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out = net()
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print("out:", out)
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data = net.m.export()
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print("data:", data)
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