forked from mindspore-Ecosystem/mindspore
33 lines
1.2 KiB
Python
33 lines
1.2 KiB
Python
# Copyright 2020 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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"""Resnet test."""
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import numpy as np
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from mindspore.common.api import _executor
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import mindspore.context as context
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from mindspore import Tensor
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from ..train_step_wrap import train_step_with_loss_warp
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from .resnet_example import resnet50
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context.set_context(mode=context.GRAPH_MODE)
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def test_train_step():
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net = train_step_with_loss_warp(resnet50())
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net.set_train()
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inp = Tensor(np.ones([1, 3, 224, 224], np.float32))
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label = Tensor(np.zeros([1, 10], np.float32))
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_executor.compile(net, inp, label)
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