d8dfcac729
* [TF FE] Refactor translators for Reduce ops and add layer tests Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com> * Correct number of inputs * Use already implemented logical operations tests --------- Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>
73 lines
2.8 KiB
Python
73 lines
2.8 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 Logical operations (Initial Implementation)
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# Documentation: https://www.tensorflow.org/api_docs/python/tf/raw_ops/All
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# https://www.tensorflow.org/api_docs/python/tf/raw_ops/Any
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class TestLogicalOps(CommonTFLayerTest):
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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.random.randint(0, 2, inputs_dict[input]).astype(bool)
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return inputs_dict
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# input_shape - should be an array
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# axis - array which points on axis for the operation
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# op_type - type of tested operation
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# ir_version - common parameter
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# use_new_frontend - common parameter
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def create_logical_ops_placeholder_const_net(self, input_shape, axis, op_type, ir_version, use_new_frontend):
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"""
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Tensorflow net IR net
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Placeholder->op_type => Placeholder->ReduceLogicalAnd/Or
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/ /
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Const-------/ Const-------/
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"""
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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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op_type_to_tf = {
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'All': tf.raw_ops.All,
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'Any': tf.raw_ops.Any,
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}
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tf_input = tf.compat.v1.placeholder(tf.bool, input_shape, 'Input')
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tf_axis = tf.constant(axis)
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op_type_to_tf[op_type](input = tf_input, axis = tf_axis)
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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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pytest.param(
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dict(input_shape=[2, 3], axis=[1]), #Simple test
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marks=pytest.mark.precommit_tf_fe),
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dict(input_shape=[2, 3, 3, 4], axis=[2]), #Simple test with possible nchw/nhwc
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]
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@pytest.mark.parametrize("params", test_data)
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@pytest.mark.parametrize("op_type", ['All', 'Any'])
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@pytest.mark.precommit
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@pytest.mark.nightly
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def test_logical_ops_placeholder_const(self, params, op_type, 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_logical_ops_placeholder_const_net(**params, op_type=op_type, 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)
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