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1# Copyright 2021 Huawei Technologies Co., Ltd
2#
3# Licensed under the Apache License, Version 2.0 (the "License");
4# you may not use this file except in compliance with the License.
5# You may obtain a copy of the License at
6#
7# http://www.apache.org/licenses/LICENSE-2.0
8#
9# Unless required by applicable law or agreed to in writing, software
10# distributed under the License is distributed on an "AS IS" BASIS,
11# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12# See the License for the specific language governing permissions and
13# limitations under the License.
14# ============================================================================
15import numpy as np
16import pytest
17import mindspore.context as context
18import mindspore.nn as nn
19from mindspore import Tensor
20from mindspore.ops import operations as P
21
22
23class Net(nn.Cell):
24    def __init__(self, data_format="NCHW"):
25        super(Net, self).__init__()
26        self.bias_add = P.BiasAdd(data_format)
27
28    def construct(self, x, b):
29        return self.bias_add(x, b)
30
31
32def get_output(x, b, data_format, enable_graph_kernel):
33    context.set_context(enable_graph_kernel=enable_graph_kernel)
34    net = Net(data_format)
35    output = net(x, b)
36    return output
37
38
39def test_bias_add(shape1, shape2, data_format, dtype):
40    np.random.seed(0)
41    x = Tensor(np.random.normal(0, 10, shape1).astype(dtype))
42    b = Tensor(np.ones(shape2).astype(dtype))
43    expect = get_output(x, b, data_format, False)
44    output = get_output(x, b, data_format, True)
45
46    expect_np = expect.asnumpy().copy()
47    output_np = output.asnumpy().copy()
48
49    assert np.allclose(expect_np, output_np, 0.0001, 0.0001)
50
51
52@pytest.mark.level0
53@pytest.mark.platform_x86_gpu_training
54@pytest.mark.env_onecard
55def test_bias_add_gpu():
56    context.set_context(mode=context.GRAPH_MODE, device_target="GPU")
57    test_bias_add((2, 3), (3,), "NCHW", np.float32)
58    test_bias_add((2, 3, 4, 5), (3,), "NCHW", np.float32)
59    test_bias_add((2, 3, 4, 5), (5,), "NHWC", np.float32)
60