127 lines
4.3 KiB
Python
127 lines
4.3 KiB
Python
# Copyright 2019 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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from mindspore import Tensor
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from mindspore.ops import operations as P
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def reshape(nptype):
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context.set_context(mode=context.GRAPH_MODE, device_target="GPU")
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reshape_op = P.Reshape()
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data = np.array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11]).astype(nptype)
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input_tensor = Tensor(np.array(data))
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new_shape = (2, 6)
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output_tensor = reshape_op(input_tensor, new_shape)
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assert new_shape == output_tensor.shape
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np.testing.assert_array_equal(output_tensor.asnumpy().flatten(), data)
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new_shape = (6, 2)
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output_tensor = reshape_op(input_tensor, new_shape)
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assert new_shape == output_tensor.shape
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np.testing.assert_array_equal(output_tensor.asnumpy().flatten(), data)
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new_shape = (3, 4)
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output_tensor = reshape_op(input_tensor, new_shape)
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assert new_shape == output_tensor.shape
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np.testing.assert_array_equal(output_tensor.asnumpy().flatten(), data)
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new_shape = (4, 3)
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output_tensor = reshape_op(input_tensor, new_shape)
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assert new_shape == output_tensor.shape
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np.testing.assert_array_equal(output_tensor.asnumpy().flatten(), data)
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new_shape = (1, 12)
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output_tensor = reshape_op(input_tensor, new_shape)
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assert new_shape == output_tensor.shape
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np.testing.assert_array_equal(output_tensor.asnumpy().flatten(), data)
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new_shape = (12, 1)
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output_tensor = reshape_op(input_tensor, new_shape)
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assert new_shape == output_tensor.shape
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np.testing.assert_array_equal(output_tensor.asnumpy().flatten(), data)
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def reshape_bool():
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context.set_context(mode=context.GRAPH_MODE, device_target="GPU")
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reshape_op = P.Reshape()
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data = np.array([True, True, False, True, False, False, True, False, False, False, False, False])
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input_tensor = Tensor(np.array(data))
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new_shape = (2, 6)
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output_tensor = reshape_op(input_tensor, new_shape)
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assert new_shape == output_tensor.shape
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np.testing.assert_array_equal(output_tensor.asnumpy().flatten(), data)
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new_shape = (6, 2)
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output_tensor = reshape_op(input_tensor, new_shape)
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assert new_shape == output_tensor.shape
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np.testing.assert_array_equal(output_tensor.asnumpy().flatten(), data)
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new_shape = (3, 4)
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output_tensor = reshape_op(input_tensor, new_shape)
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assert new_shape == output_tensor.shape
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np.testing.assert_array_equal(output_tensor.asnumpy().flatten(), data)
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new_shape = (4, 3)
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output_tensor = reshape_op(input_tensor, new_shape)
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assert new_shape == output_tensor.shape
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np.testing.assert_array_equal(output_tensor.asnumpy().flatten(), data)
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new_shape = (1, 12)
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output_tensor = reshape_op(input_tensor, new_shape)
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assert new_shape == output_tensor.shape
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np.testing.assert_array_equal(output_tensor.asnumpy().flatten(), data)
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new_shape = (12, 1)
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output_tensor = reshape_op(input_tensor, new_shape)
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assert new_shape == output_tensor.shape
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np.testing.assert_array_equal(output_tensor.asnumpy().flatten(), data)
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@pytest.mark.level1
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@pytest.mark.platform_x86_gpu_training
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@pytest.mark.env_onecard
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def test_reshape_float():
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reshape(np.float32)
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@pytest.mark.level1
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@pytest.mark.platform_x86_gpu_training
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@pytest.mark.env_onecard
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def test_reshape_float16():
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reshape(np.float16)
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@pytest.mark.level1
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@pytest.mark.platform_x86_gpu_training
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@pytest.mark.env_onecard
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def test_reshape_int32():
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reshape(np.int32)
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@pytest.mark.level1
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@pytest.mark.platform_x86_gpu_training
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@pytest.mark.env_onecard
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def test_reshape_uint8():
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reshape(np.uint8)
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@pytest.mark.level1
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@pytest.mark.platform_x86_gpu_training
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@pytest.mark.env_onecard
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def test_reshape_bool():
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reshape_bool()
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