Andrey Kashchikhin
62f5bd6570
* add arm as a matrix for build job * uncomment * comment * try inside pipeline * check location * another dirs * try to privide correct action path * use corrected action * use newer commit * use newer commit * use newer commit * use newer action commit * add setting * rm from pipeline, adapt action iteslf * add missing deps * enable samples and debian jobs * correct yml * correct image name * correct syntax, use self-hosted option * enable onnx runtime and c++, use newer action * enable Python and CPU Func tests * add missing deps for arm64 * increase timeout for python tests * disable some tests, add more time * skip failing tests * skip speech sample test on arm * dummy chang * skip mxnet mo on arm, run all tests * rm quotes * separate linux x86 and arm64 workflows * rm unused matrix refs, add timeouts * add skips for c++ tests and some Python tests * correct cache keys, extend timeout * skip more python tests * add more skips: for python and CPU func * extend cpu func list with skips * disable cpu func tests and python api 2.0 tests * rm disable job * styling, rm pr trigger, rm always(), rm unnecessary changes * revert * use ifs instead of comments, provide better wording for skips
60 lines
2.9 KiB
Python
60 lines
2.9 KiB
Python
# Copyright (C) 2018-2023 Intel Corporation
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# SPDX-License-Identifier: Apache-2.0
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import platform
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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 TestTopKV2(CommonTFLayerTest):
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def _prepare_input(self, inputs_info):
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# generate elements so that the input tensor may contain repeating elements
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assert 'input' in inputs_info, "Test error: inputs_info must contain `input`"
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x_shape = inputs_info['input']
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inputs_data = {}
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inputs_data['input'] = np.random.randint(-10, 10, x_shape)
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return inputs_data
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def create_topk_v2_net(self, input_shape, input_type, k, sorted, is_first_output, is_second_output):
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tf.compat.v1.reset_default_graph()
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with tf.compat.v1.Session() as sess:
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input = tf.compat.v1.placeholder(input_type, input_shape, 'input')
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k = tf.constant(k, dtype=tf.int32, shape=[])
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topk = tf.raw_ops.TopKV2(input=input, k=k, sorted=sorted)
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if is_first_output:
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tf.identity(topk[0], name='topk_values')
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if is_second_output:
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tf.identity(topk[1], name='unique_indices')
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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, None
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test_basic = [
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dict(input_shape=[10], input_type=tf.float32, k=5, sorted=True, is_first_output=True, is_second_output=False),
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dict(input_shape=[2, 3, 10], input_type=tf.int32, k=10, sorted=True, is_first_output=True,
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is_second_output=False),
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dict(input_shape=[4, 12], input_type=tf.float32, k=10, sorted=True, is_first_output=True,
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is_second_output=True),
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# Expect stable mode implementation for sort_type=indices in OpenVINO. See 101503
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pytest.param(dict(input_shape=[5, 10], input_type=tf.int32, k=8, sorted=False, is_first_output=True,
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is_second_output=True), marks=pytest.mark.xfail(reason="101503")),
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]
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@pytest.mark.parametrize("params", test_basic)
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@pytest.mark.precommit_tf_fe
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@pytest.mark.nightly
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@pytest.mark.xfail(condition=platform.system() in ('Linux', 'Darwin') and platform.machine() in ('arm', 'armv7l',
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'aarch64',
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'arm64', 'ARM64'),
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reason='Ticket - 126314, 122716')
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def test_topk_v2_basic(self, params, ie_device, precision, ir_version, temp_dir, use_new_frontend,
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use_old_api):
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self._test(*self.create_topk_v2_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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