[TF FE] Refactor ListDiff translator and add layer test (#15499)

Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>
This commit is contained in:
Roman Kazantsev authored and GitHub committed 2023-02-06 11:08:36 +04:00
1 parent 8ed71a22fa
commit 3d0a6a1d04
2 files changed
+71 -22

No files matched your search

@@ -0,0 +1,48 @@
# 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 TestListDiff(CommonTFLayerTest):
def _prepare_input(self, inputs_info):
assert 'x' in inputs_info, "Test error: inputs_info must contain `x`"
assert 'y' in inputs_info, "Test error: inputs_info must contain `y`"
x_shape = inputs_info['x']
y_shape = inputs_info['y']
inputs_data = {}
inputs_data['x'] = np.random.randint(-5, 5, x_shape)
inputs_data['y'] = np.random.randint(-5, 5, y_shape)
return inputs_data
def create_list_diff_net(self, x_shape, y_shape, out_idx):
tf.compat.v1.reset_default_graph()
# Create the graph and model
with tf.compat.v1.Session() as sess:
x = tf.compat.v1.placeholder(tf.int32, x_shape, 'x')
y = tf.compat.v1.placeholder(tf.int32, y_shape, 'y')
listdiff = tf.raw_ops.ListDiff(x=x, y=y, out_idx=out_idx)
tf.identity(listdiff[0], name='out')
tf.identity(listdiff[1], name='idx')
tf.compat.v1.global_variables_initializer()
tf_net = sess.graph_def
return tf_net, None
test_data_basic = [
dict(x_shape=[7], y_shape=[2], out_idx=tf.int32),
dict(x_shape=[4], y_shape=[8], out_idx=tf.int64),
]
@pytest.mark.parametrize("params", test_data_basic)
@pytest.mark.precommit_tf_fe
@pytest.mark.nightly
def test_list_diff_basic(self, params, ie_device, precision, ir_version, temp_dir,
use_new_frontend, use_old_api):
self._test(*self.create_list_diff_net(**params),
ie_device, precision, ir_version, temp_dir=temp_dir,
use_new_frontend=use_new_frontend, use_old_api=use_old_api)