forked from mindspore-Ecosystem/mindspore
96 lines
2.5 KiB
Python
96 lines
2.5 KiB
Python
# Copyright 2020-2021 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
|
|
from mindspore.ops import operations as P
|
|
|
|
def sin(nptype):
|
|
if nptype == np.complex64 or np.complex128:
|
|
x_np = np.random.rand(2, 3, 4, 4).astype(nptype) + 2j*np.random.rand(2, 3, 4, 4).astype(nptype)
|
|
x_np = np.random.rand(2, 3, 4, 4).astype(nptype)
|
|
|
|
context.set_context(mode=context.PYNATIVE_MODE, device_target="GPU")
|
|
output_ms = P.Sin()(Tensor(x_np))
|
|
output_np = np.sin(x_np)
|
|
assert np.allclose(output_ms.asnumpy(), output_np)
|
|
context.set_context(mode=context.GRAPH_MODE, device_target="GPU")
|
|
output_ms = P.Sin()(Tensor(x_np))
|
|
output_np = np.sin(x_np)
|
|
assert np.allclose(output_ms.asnumpy(), output_np)
|
|
|
|
|
|
@pytest.mark.level1
|
|
@pytest.mark.platform_x86_gpu_training
|
|
@pytest.mark.env_onecard
|
|
def test_sin_float16():
|
|
"""
|
|
Feature: sin kernel
|
|
Description: test sin float16
|
|
Expectation: just test
|
|
"""
|
|
sin(np.float16)
|
|
|
|
|
|
@pytest.mark.level1
|
|
@pytest.mark.platform_x86_gpu_training
|
|
@pytest.mark.env_onecard
|
|
def test_sin_float32():
|
|
"""
|
|
Feature: sin kernel
|
|
Description: test sin float32
|
|
Expectation: just test
|
|
"""
|
|
sin(np.float32)
|
|
|
|
|
|
@pytest.mark.level1
|
|
@pytest.mark.platform_x86_gpu_training
|
|
@pytest.mark.env_onecard
|
|
def test_sin_float64():
|
|
"""
|
|
Feature: sin kernel
|
|
Description: test sin float64
|
|
Expectation: just test
|
|
"""
|
|
sin(np.float64)
|
|
|
|
|
|
@pytest.mark.level1
|
|
@pytest.mark.platform_x86_gpu_training
|
|
@pytest.mark.env_onecard
|
|
def test_sin_complex64():
|
|
"""
|
|
Feature: sin kernel
|
|
Description: test sin complex64
|
|
Expectation: just test
|
|
"""
|
|
sin(np.complex64)
|
|
|
|
|
|
@pytest.mark.level1
|
|
@pytest.mark.platform_x86_gpu_training
|
|
@pytest.mark.env_onecard
|
|
def test_sin_complex128():
|
|
"""
|
|
Feature: sin kernel
|
|
Description: test sin complex128
|
|
Expectation: just test
|
|
"""
|
|
sin(np.complex128)
|