forked from mindspore-Ecosystem/mindspore
49 lines
1.8 KiB
Python
49 lines
1.8 KiB
Python
# Copyright 2022 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.
|
|
# ============================================================================
|
|
|
|
import numpy as np
|
|
import pytest
|
|
import mindspore.context as context
|
|
from mindspore import Tensor
|
|
|
|
|
|
def test_addr_tensor_api(nptype):
|
|
"""
|
|
Feature: test addr tensor api.
|
|
Description: test inputs given their dtype.
|
|
Expectation: the result match with expected result.
|
|
"""
|
|
x = Tensor(np.array([[2., 2.], [3., 2.], [3., 4.]]).astype(nptype))
|
|
vec1 = Tensor(np.array([2., 3., 2.]).astype(nptype))
|
|
vec2 = Tensor(np.array([3., 4.]).astype(nptype))
|
|
output = x.addr(vec1, vec2)
|
|
expected = np.array([[8., 10.], [12., 14.], [9., 12.]]).astype(nptype)
|
|
np.testing.assert_array_almost_equal(output.asnumpy(), expected)
|
|
|
|
|
|
@pytest.mark.level1
|
|
@pytest.mark.platform_x86_gpu_training
|
|
@pytest.mark.env_onecard
|
|
def test_addr_float32_tensor_api():
|
|
"""
|
|
Feature: test addr tensor api.
|
|
Description: test float32 inputs.
|
|
Expectation: the result match with expected result.
|
|
"""
|
|
context.set_context(mode=context.GRAPH_MODE, device_target="GPU")
|
|
test_addr_tensor_api(np.float32)
|
|
context.set_context(mode=context.PYNATIVE_MODE, device_target="GPU")
|
|
test_addr_tensor_api(np.float32)
|