39 lines
1.4 KiB
Python
39 lines
1.4 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 TestShapeN(CommonTFLayerTest):
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def create_shape_n_net(self, input_shapes, out_type):
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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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inputs = []
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for ind, input_shape in enumerate(input_shapes):
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inputs.append(tf.compat.v1.placeholder(tf.float32, input_shape, 'input_{}'.format(ind)))
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shapen = tf.raw_ops.ShapeN(input=inputs, out_type=out_type)
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tf.raw_ops.ConcatV2(values=shapen, axis=0)
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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(input_shapes=[[2, 3], [1]], out_type=tf.int32),
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dict(input_shapes=[[3], [3, 2, 1], [], [4, 3, 1, 1]], out_type=tf.int64),
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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_shape_n_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_shape_n_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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