50 lines
1.5 KiB
Python
50 lines
1.5 KiB
Python
################################################################################
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# Copyright (c) 2015-2018 Skymind, Inc.
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#
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# This program and the accompanying materials are made available under the
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# terms of the Apache License, Version 2.0 which is available at
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# https://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, WITHOUT
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# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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# License for the specific language governing permissions and limitations
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# under the License.
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#
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# SPDX-License-Identifier: Apache-2.0
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################################################################################
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import pytest
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import jumpy as jp
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import numpy as np
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from numpy.testing import assert_allclose
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def _test_reduction_op(op, shape):
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for axis in range(len(shape)):
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x_np = np.random.random(shape)
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y_np = getattr(np, op)(x_np, axis=axis)
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x_jp = jp.array(x_np)
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y_jp = getattr(jp, op)(x_jp, axis=axis)
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x_jp = x_jp.numpy()
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assert_allclose(x_jp, x_np)
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def test_reduction_ops():
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shapes = [(2, 3), (2, 3, 4), (2, 3, 4, 5)]
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reduction_ops = ['max', 'min', 'sum', 'prod', 'mean',
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'std', 'var', 'argmax', 'argmin']
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for op in reduction_ops:
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for shape in shapes:
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_test_reduction_op(op, shape)
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if __name__ == '__main__':
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pytest.main([__file__])
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