44 lines
1.7 KiB
Python
44 lines
1.7 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 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 TestExpandDims(CommonTFLayerTest):
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def _prepare_input(self, inputs_info):
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# generate elements so that the input tensor may contain repeating elements
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assert 'input' in inputs_info, "Test error: inputs_info must contain `input`"
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x_shape = inputs_info['input']
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inputs_data = {}
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inputs_data['input'] = np.random.randint(-10, 10, x_shape).astype(np.float32)
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return inputs_data
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def create_expand_dims_net(self, input_shape, axis):
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tf.compat.v1.reset_default_graph()
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with tf.compat.v1.Session() as sess:
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input = tf.compat.v1.placeholder(tf.float32, input_shape, 'input')
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axis = tf.constant(axis, dtype=tf.int32)
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tf.raw_ops.ExpandDims(input=input, axis=axis)
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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_basic = [
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dict(input_shape=[], axis=0),
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dict(input_shape=[2, 3], axis=1),
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dict(input_shape=[2, 3, 5], axis=-2),
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]
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@pytest.mark.parametrize("params", test_basic)
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@pytest.mark.nightly
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@pytest.mark.precommit_tf_fe
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def test_expand_dims_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_expand_dims_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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