59 lines
2.1 KiB
Python
59 lines
2.1 KiB
Python
# Copyright (C) 2022 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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from common.tf_layer_test_class import CommonTFLayerTest
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# Testing Fill operation (Initial Implementation)
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# Documentation: https://www.tensorflow.org/api_docs/python/tf/raw_ops/Fill
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class TestFillOps(CommonTFLayerTest):
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stored_shape = []
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# Overload inputs generation to fill dummy input
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def _prepare_input(self, inputs_dict):
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for input in inputs_dict.keys():
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inputs_dict[input] = np.ndarray([len(self.stored_shape)], buffer=np.array(self.stored_shape), dtype=np.int32)
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# Return shape as is
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return inputs_dict
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# input_shape - should be an array
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# value - value which should be set to tensor
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# ir_version - common parameter
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# use_new_frontend - common parameter
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def create_fill_ops_placeholder_const_net(self, input_shape, value, ir_version, use_new_frontend):
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self.stored_shape = input_shape
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import tensorflow as tf
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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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tf_input = tf.compat.v1.placeholder(tf.int32, [len(input_shape)], 'Input')
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tf.raw_ops.Fill(dims = tf_input, value = value)
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tf.compat.v1.global_variables_initializer()
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tf_net = sess.graph_def
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ref_net = None
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return tf_net, ref_net
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test_data = [
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dict(input_shape=[2, 3], value=123),
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dict(input_shape=[2, 3, 3, 4], value=123),
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]
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@pytest.mark.parametrize("params", test_data)
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@pytest.mark.precommit_tf_fe
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@pytest.mark.nightly
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def test_fill_ops_placeholder_const(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_fill_ops_placeholder_const_net(**params, ir_version=ir_version,
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use_new_frontend=use_new_frontend),
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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) |