45 lines
1.8 KiB
Python
45 lines
1.8 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 TestUnravelIndex(CommonTFLayerTest):
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def _prepare_input(self, inputs_info):
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assert 'indices' in inputs_info
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indices_shape = inputs_info['indices']
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inputs_data = {}
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inputs_data['indices'] = np.random.randint(0, self.num_elements, indices_shape).astype(self.input_type)
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return inputs_data
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def create_unravel_index_net(self, input_shape, input_type, dims_value):
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self.input_type = input_type
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self.num_elements = np.prod(dims_value)
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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(input_type, input_shape, 'indices')
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dims = tf.constant(dims_value, dtype=input_type)
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tf.raw_ops.UnravelIndex(indices=indices, dims=dims)
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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_shape=[10], input_type=np.int32, dims_value=[2, 3, 4]),
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dict(input_shape=[20], input_type=np.int64, dims_value=[5, 5]),
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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_unravel_index_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_unravel_index_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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