* [TF FE] Refactor Unpack and add layer test Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com> * Update tests/layer_tests/tensorflow_tests/test_tf_Unpack.py --------- Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>
56 lines
2.1 KiB
Python
56 lines
2.1 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 TestUnpack(CommonTFLayerTest):
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def _prepare_input(self, inputs_info):
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assert 'x' in inputs_info, "Test error: inputs_info must contain `x`"
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x_shape = inputs_info['x']
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inputs_data = {}
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inputs_data['x'] = np.random.randint(-10, 10, x_shape).astype(self.input_type)
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return inputs_data
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def create_unpack_net(self, input_shape, num, axis, input_type):
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self.input_type = input_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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type_map = {
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np.float32: tf.float32,
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np.int32: tf.int32,
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}
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assert input_type in type_map, "Test error: need to update type_map"
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tf_type = type_map[input_type]
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x = tf.compat.v1.placeholder(tf_type, input_shape, 'x')
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if axis is not None:
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unpack = tf.raw_ops.Unpack(value=x, num=num, axis=axis)
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else:
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unpack = tf.raw_ops.Unpack(value=x, num=num)
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for ind in range(num):
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tf.identity(unpack[ind], name="output_" + str(ind))
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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=[2, 3, 4], num=3, axis=1, input_type=np.float32),
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dict(input_shape=[3, 4], num=3, axis=None, input_type=np.int32),
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dict(input_shape=[4, 2, 3], num=2, axis=-2, input_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_unpack_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_unpack_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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