46 lines
1.1 KiB
Python
46 lines
1.1 KiB
Python
# Copyright (C) 2018-2023 Intel Corporation
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# SPDX-License-Identifier: Apache-2.0
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import numpy as np
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import ngraph as ng
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from tests.runtime import get_runtime
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from tests.test_ngraph.util import run_op_node
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from tests import (xfail_issue_47337,
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xfail_issue_44848)
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def test_onehot():
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runtime = get_runtime()
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param = ng.parameter([3], dtype=np.int32)
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model = ng.one_hot(param, 3, 1, 0, 0)
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computation = runtime.computation(model, param)
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expected = np.eye(3)[np.array([1, 0, 2])]
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input_data = np.array([1, 0, 2], dtype=np.int32)
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result = computation(input_data)
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assert np.allclose(result, expected)
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@xfail_issue_47337
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def test_one_hot():
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data = np.array([0, 1, 2], dtype=np.int32)
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depth = 2
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on_value = 5
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off_value = 10
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axis = -1
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excepted = [[5, 10], [10, 5], [10, 10]]
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result = run_op_node([data, depth, on_value, off_value], ng.one_hot, axis)
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assert np.allclose(result, excepted)
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@xfail_issue_44848
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def test_range():
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start = 5
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stop = 35
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step = 5
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result = run_op_node([start, stop, step], ng.range)
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assert np.allclose(result, [5, 10, 15, 20, 25, 30])
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