forked from mindspore-Ecosystem/mindspore
43 lines
1.8 KiB
Python
43 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
|
|
from mindspore import Tensor
|
|
from mindspore.ops import operations as P
|
|
|
|
|
|
@pytest.mark.level0
|
|
@pytest.mark.platform_x86_gpu_training
|
|
@pytest.mark.env_onecard
|
|
def test_data_formata_dim_map_gpu():
|
|
"""
|
|
Feature: DataFormatDimMapNet gpu kernel.
|
|
Description: test the rightness of DataFormatDimMapNet gpu kernel.
|
|
Expectation: Success.
|
|
"""
|
|
x_np_1_gpu = np.array([-4, -3, -2, -1, 0, 1, 2, 3]).astype(np.int32)
|
|
output_1_gpu = P.DataFormatDimMap()(Tensor(x_np_1_gpu))
|
|
output_1_expect_gpu = np.array([0, 2, 3, 1, 0, 2, 3, 1]).astype(np.int32)
|
|
assert np.allclose(output_1_gpu.asnumpy(), output_1_expect_gpu)
|
|
|
|
output_2_gpu = P.DataFormatDimMap(src_format="NHWC", dst_format="NHWC")(Tensor(x_np_1_gpu))
|
|
output_2_expect_gpu = np.array([0, 1, 2, 3, 0, 1, 2, 3]).astype(np.int32)
|
|
assert np.allclose(output_2_gpu.asnumpy(), output_2_expect_gpu)
|
|
|
|
output_3_gpu = P.DataFormatDimMap(src_format="NCHW", dst_format="NHWC")(Tensor(x_np_1_gpu))
|
|
output_3_expect_gpu = np.array([0, 3, 1, 2, 0, 3, 1, 2]).astype(np.int32)
|
|
assert np.allclose(output_3_gpu.asnumpy(), output_3_expect_gpu)
|