forked from mindspore-Ecosystem/mindspore
62 lines
2.1 KiB
Python
62 lines
2.1 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 numpy as np
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import pytest
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import mindspore.context as context
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from mindspore import Tensor
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from mindspore.nn import Cell
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import mindspore.ops.operations as P
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class NetFloatStatusAddN(Cell):
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def __init__(self):
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super(NetFloatStatusAddN, self).__init__()
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self.status = P.FloatStatus()
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self.addn = P.AddN()
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self.square = P.Square()
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def construct(self, x, y, z):
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res0 = self.square(x)
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res1 = self.status(res0)
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res2 = self.status(y)
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res3 = self.status(z)
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res4 = self.addn((res1, res2, res3))
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return self.square(res4)
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def run_floatstatus_addn():
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np.random.seed(0)
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input_x = np.random.normal(0, 1, [2, 3, 4, 3]).astype(np.float32)
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input_y = np.random.normal(0, 1, [2, 3, 4, 3]).astype(np.float32)
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input_z = np.random.normal(0, 1, [2, 3, 4, 3]).astype(np.float32)
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net = NetFloatStatusAddN()
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result = net(Tensor(input_x), Tensor(input_y), Tensor(input_z))
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res = np.allclose(0, result.asnumpy(), rtol=1.e-4, atol=1.e-7)
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assert res
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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_floatstatus_addn():
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"""
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Feature: graph kernel testcase for floatstatus addn fusion
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Description: random input when using graph_kernel in graph mode
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Expectation: the result is 0
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"""
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context.set_context(mode=context.GRAPH_MODE, enable_graph_kernel=True, device_target="GPU")
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run_floatstatus_addn()
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