38 lines
1.5 KiB
Python
38 lines
1.5 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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import tensorflow as tf
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from common.tf_layer_test_class import CommonTFLayerTest
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class TestSplit(CommonTFLayerTest):
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def create_split_net(self, value_shape, axis_value, num_split):
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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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axis = tf.constant(axis_value, dtype=tf.int32)
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value = tf.compat.v1.placeholder(tf.float32, value_shape, 'value')
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split = tf.raw_ops.Split(axis=axis, value=value, num_split=num_split)
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for output_ind in range(num_split):
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tf.identity(split[output_ind], name="split_" + str(output_ind))
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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(value_shape=[6], axis_value=0, num_split=2),
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dict(value_shape=[2, 1, 6], axis_value=2, num_split=3),
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dict(value_shape=[4, 3, 2, 7], axis_value=-4, num_split=4),
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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_split_basic(self, params, ie_device, precision, ir_version, temp_dir,
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use_new_frontend, use_old_api):
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self._test(*self.create_split_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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