77b3faeb55
* [TF FE] Refactor translators for Select and SelectV2 and test it It fixes a case when the condition of a smaller rank than operands in Select Separately added tests for Select and SelectV2 Do not mix-up Select with Where, so tests for Where are moved to test_tf_Where.py Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com> * Revert extra changes * Apply code-review feedback: support undefined rank Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com> Co-authored-by: Andrei Kochin <andrei.kochin@intel.com>
54 lines
2.3 KiB
Python
54 lines
2.3 KiB
Python
# Copyright (C) 2018-2022 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 TestSelect(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_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.Select(condition=cond, x=x, y=y, name='select')
|
|
tf.compat.v1.global_variables_initializer()
|
|
|
|
tf_net = sess.graph_def
|
|
|
|
return tf_net, None
|
|
|
|
test_data_basic = [
|
|
dict(cond_shape=[], x_shape=[3, 2, 4], y_shape=[3, 2, 4]),
|
|
dict(cond_shape=[2], x_shape=[2, 4, 5], y_shape=[2, 4, 5]),
|
|
dict(cond_shape=[2, 3, 4], x_shape=[2, 3, 4], y_shape=[2, 3, 4]),
|
|
]
|
|
|
|
@pytest.mark.parametrize("params", test_data_basic)
|
|
@pytest.mark.precommit_tf_fe
|
|
@pytest.mark.nightly
|
|
def test_select_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_net(**params),
|
|
ie_device, precision, ir_version, temp_dir=temp_dir,
|
|
use_new_frontend=use_new_frontend, use_old_api=use_old_api)
|