forked from mindspore-Ecosystem/mindspore
84 lines
2.4 KiB
Python
84 lines
2.4 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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""" test_parser_operator """
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import pytest
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import numpy as np
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from mindspore import context
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from mindspore.nn import ReLU
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from mindspore.nn import Cell
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from mindspore.common.tensor import Tensor
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def setup_module():
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context.set_context(mode=context.PYNATIVE_MODE)
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@pytest.mark.level1
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@pytest.mark.platform_arm_ascend_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_parser_operator_floor_div():
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class Net(Cell):
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def __init__(self):
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super(Net, self).__init__()
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self.relu = ReLU()
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def construct(self, x):
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x = self.relu(x)
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x = 3 // x
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return x
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input_np_x = np.array(2).astype(np.float32)
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input_me_x = Tensor(input_np_x)
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net = Net()
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out_me = net(input_me_x)
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assert np.allclose(out_me.asnumpy(), 3 // input_np_x, 0.001, 0.001)
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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_tensor_pow():
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"""
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Feature: tensor pow
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Description: Test tensor pow in pynative
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Expectation: No exception.
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"""
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x = (2, 2)
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y_np = np.array([8.0, 8.0]).astype(np.float32)
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y = Tensor(y_np)
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out_me = x ** y
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out_np = np.array(x) ** y_np
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assert np.allclose(out_me.asnumpy(), out_np, rtol=0.01, atol=0.01)
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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_tensor_matmul():
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"""
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Feature: tensor matmul
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Description: Test tensor matmul in pynative
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Expectation: No exception.
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"""
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x_np = np.arange(2*3*4).reshape(2, 3, 4).astype('float32')
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y_np = np.arange(4*5).reshape(4, 5).astype('float32')
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x = Tensor(x_np)
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y = Tensor(y_np)
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out_me = x @ y
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out_np = x_np @ y_np
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assert np.allclose(out_me.asnumpy(), out_np, rtol=0.01, atol=0.01)
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