forked from huawei/mindspore2022
116 lines
3.4 KiB
Python
116 lines
3.4 KiB
Python
# Copyright 2021 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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import numpy as np
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import pytest
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import mindspore.context as context
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import mindspore.nn as nn
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import mindspore.ops.operations.array_ops as P
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from mindspore import Tensor
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from mindspore.common.api import ms_function
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from mindspore.common.initializer import initializer
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from mindspore.common.parameter import Parameter
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context.set_context(mode=context.GRAPH_MODE, device_target='CPU')
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class DepthToSpaceNet(nn.Cell):
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def __init__(self, nptype, block_size=2, input_shape=(1, 12, 1, 1)):
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super(DepthToSpaceNet, self).__init__()
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self.DepthToSpace = P.DepthToSpace(block_size)
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input_size = 1
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for i in input_shape:
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input_size = input_size*i
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data_np = np.arange(input_size).reshape(input_shape).astype(nptype)
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self.x1 = Parameter(initializer(Tensor(data_np), input_shape), name='x1')
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@ms_function
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def construct(self):
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y1 = self.DepthToSpace(self.x1)
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return y1
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def DepthToSpace(nptype, block_size=2, input_shape=(1, 12, 1, 1)):
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input_size = 1
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for i in input_shape:
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input_size = input_size*i
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expect = np.array([[[[0, 3],
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[6, 9]],
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[[1, 4],
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[7, 10]],
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[[2, 5],
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[8, 11]]]]).astype(nptype)
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dts = DepthToSpaceNet(nptype, block_size, input_shape)
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output = dts()
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assert (output.asnumpy() == expect).all()
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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_depthtospace_graph_float32():
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DepthToSpace(np.float32)
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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_depthtospace_graph_float16():
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DepthToSpace(np.float16)
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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_depthtospace_graph_int32():
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DepthToSpace(np.int32)
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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_depthtospace_graph_int64():
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DepthToSpace(np.int64)
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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_depthtospace_graph_int8():
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DepthToSpace(np.int8)
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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_depthtospace_graph_int16():
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DepthToSpace(np.int16)
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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_depthtospace_graph_uint8():
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DepthToSpace(np.uint8)
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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_depthtospace_graph_uint16():
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DepthToSpace(np.uint16)
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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_depthtospace_graph_uint32():
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DepthToSpace(np.uint32)
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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_depthtospace_graph_uint64():
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DepthToSpace(np.uint64)
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