45 lines
1.7 KiB
Python
45 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 TestMatrixDiag(CommonTFLayerTest):
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def _prepare_input(self, inputs_info):
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assert 'diagonal' in inputs_info
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diagonal_shape = inputs_info['diagonal']
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inputs_data = {}
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inputs_data['diagonal'] = np.random.randint(-50, 50, diagonal_shape).astype(self.diagonal_type)
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return inputs_data
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def create_matrix_diag_net(self, diagonal_shape, diagonal_type):
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self.diagonal_type = diagonal_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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diagonal = tf.compat.v1.placeholder(diagonal_type, diagonal_shape, 'diagonal')
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tf.raw_ops.MatrixDiag(diagonal=diagonal)
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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(diagonal_shape=[5], diagonal_type=np.float32),
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dict(diagonal_shape=[3, 1], diagonal_type=np.int32),
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dict(diagonal_shape=[2, 1, 4, 3], diagonal_type=np.float32),
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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_matrix_diag_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_matrix_diag_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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