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test_tf_SelectV2.py
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# Copyright (C) 2018-2023 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
import numpy as np
import pytest
import tensorflow as tf
from common.tf_layer_test_class import CommonTFLayerTest
class TestSelectV2(CommonTFLayerTest):
def _prepare_input(self, inputs_info):
assert 'cond' in inputs_info, "Test error: inputs_info must contain `cond`"
assert 'x' in inputs_info, "Test error: inputs_info must contain `x`"
assert 'y' in inputs_info, "Test error: inputs_info must contain `y`"
cond_shape = inputs_info['cond']
x_shape = inputs_info['x']
y_shape = inputs_info['y']
inputs_data = {}
inputs_data['cond'] = np.random.randint(0, 2, cond_shape).astype(bool)
inputs_data['x'] = np.random.randint(-100, 100, x_shape).astype(np.float32)
inputs_data['y'] = np.random.randint(-100, 100, y_shape).astype(np.float32)
return inputs_data
def create_select_v2_net(self, cond_shape, x_shape, y_shape):
tf.compat.v1.reset_default_graph()
# Create the graph and model
with tf.compat.v1.Session() as sess:
cond = tf.compat.v1.placeholder(tf.bool, cond_shape, 'cond')
x = tf.compat.v1.placeholder(tf.float32, x_shape, 'x')
y = tf.compat.v1.placeholder(tf.float32, y_shape, 'y')
tf.raw_ops.SelectV2(condition=cond, t=x, e=y, name='select_v2')
tf.compat.v1.global_variables_initializer()
tf_net = sess.graph_def
return tf_net, None
test_data_basic = [
dict(cond_shape=[3, 1], x_shape=[3, 1], y_shape=[3, 1]),
dict(cond_shape=[], x_shape=[2], y_shape=[3, 2]),
dict(cond_shape=[4], x_shape=[3, 2, 1], y_shape=[2, 4]),
]
@pytest.mark.parametrize("params", test_data_basic)
@pytest.mark.precommit_tf_fe
@pytest.mark.nightly
def test_select_v2_basic(self, params, ie_device, precision, ir_version, temp_dir,
use_new_frontend, use_old_api):
if not use_new_frontend:
pytest.skip("Select tests are not passing for the legacy frontend.")
self._test(*self.create_select_v2_net(**params),
ie_device, precision, ir_version, temp_dir=temp_dir,
use_new_frontend=use_new_frontend, use_old_api=use_old_api)