53 lines
2.1 KiB
Python
53 lines
2.1 KiB
Python
# Copyright (C) 2018-2023 Intel Corporation
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# SPDX-License-Identifier: Apache-2.0
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import pytest
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from common.tf_layer_test_class import CommonTFLayerTest
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class TestOneHot(CommonTFLayerTest):
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@staticmethod
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def create_one_hot_net(shape, depth, on_value, off_value, axis):
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import tensorflow as tf
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tf.compat.v1.reset_default_graph()
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# Create the graph and model
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with tf.compat.v1.Session() as sess:
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indices = tf.compat.v1.placeholder(tf.int32, shape, name='input_indices')
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tf.raw_ops.OneHot(indices=indices,
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depth=depth,
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on_value=on_value,
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off_value=off_value,
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axis=axis,
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name='Operation')
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tf.compat.v1.global_variables_initializer()
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tf_net = sess.graph_def
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return tf_net, None
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test_data_basic = [
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dict(shape=[2], depth=3, on_value=1.0, off_value=-1.0, axis=None),
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dict(shape=[2, 3], depth=4, on_value=5.0, off_value=10.0, axis=1),
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]
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@pytest.mark.parametrize("params", test_data_basic)
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@pytest.mark.precommit_tf_fe
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@pytest.mark.nightly
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def test_one_hot_basic(self, params, ie_device, precision, ir_version, temp_dir, use_new_frontend,
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use_old_api):
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self._test(*self.create_one_hot_net(**params),
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ie_device, precision, ir_version, temp_dir=temp_dir,
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use_new_frontend=use_new_frontend, use_old_api=use_old_api)
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test_data_complex = [
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dict(shape=[3, 4], depth=1, on_value=1.0, off_value=-5.0, axis=-2),
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dict(shape=[3, 4, 2, 1], depth=4, on_value=3.0, off_value=5.0, axis=2),
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]
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@pytest.mark.parametrize("params", test_data_basic)
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@pytest.mark.nightly
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def test_one_hot_complex(self, params, ie_device, precision, ir_version, temp_dir, use_new_frontend,
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use_old_api):
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self._test(*self.create_one_hot_net(**params),
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ie_device, precision, ir_version, temp_dir=temp_dir,
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use_new_frontend=use_new_frontend, use_old_api=use_old_api)
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