forked from mindspore-Ecosystem/mindspore
32 lines
1.1 KiB
Python
32 lines
1.1 KiB
Python
|
# Copyright 2020 Huawei Technologies Co., Ltd
|
||
|
|
#
|
||
|
|
# Licensed under the Apache License, Version 2.0 (the "License");
|
||
|
|
# you may not use this file except in compliance with the License.
|
||
|
|
# You may obtain a copy of the License at
|
||
|
|
#
|
||
|
|
# http://www.apache.org/licenses/LICENSE-2.0
|
||
|
|
#
|
||
|
|
# Unless required by applicable law or agreed to in writing, software
|
||
|
|
# distributed under the License is distributed on an "AS IS" BASIS,
|
||
|
|
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||
|
|
# See the License for the specific language governing permissions and
|
||
|
|
# limitations under the License.
|
||
|
|
# ============================================================================
|
||
|
|
|
||
|
|
"""Resnet test."""
|
||
|
|
|
||
|
|
# pylint: disable=unused-wildcard-import, wildcard-import
|
||
|
|
|
||
|
|
import numpy as np
|
||
|
|
|
||
|
|
from mindspore import Tensor
|
||
|
|
from ..train_step_wrap import train_step_without_opt
|
||
|
|
from .resnet_example import resnet50
|
||
|
|
from ..vm_impl import *
|
||
|
|
|
||
|
|
def test_resnet50_pynative():
|
||
|
|
net = train_step_without_opt(resnet50())
|
||
|
|
inp = Tensor(np.ones([1, 3, 224, 224]).astype(np.float32))
|
||
|
|
label = Tensor(np.zeros([1, 10]).astype(np.float32))
|
||
|
|
net(inp, label)
|