36 lines
1.5 KiB
Python
36 lines
1.5 KiB
Python
# Copyright (C) 2018-2023 Intel Corporation
|
|
# SPDX-License-Identifier: Apache-2.0
|
|
|
|
import pytest
|
|
import tensorflow as tf
|
|
from common.tf_layer_test_class import CommonTFLayerTest
|
|
|
|
|
|
class TestBatchToSpaceND(CommonTFLayerTest):
|
|
def create_batch_to_space_nd_net(self, input_shape, block_shape, crops):
|
|
tf.compat.v1.reset_default_graph()
|
|
# Create the graph and model
|
|
with tf.compat.v1.Session() as sess:
|
|
x = tf.compat.v1.placeholder(tf.float32, input_shape, 'x')
|
|
tf.raw_ops.BatchToSpaceND(input=x, block_shape=block_shape, crops=crops)
|
|
tf.compat.v1.global_variables_initializer()
|
|
tf_net = sess.graph_def
|
|
|
|
return tf_net, None
|
|
|
|
test_data_basic = [
|
|
dict(input_shape=[4, 1, 1, 3], block_shape=[1], crops=[[0, 0]]),
|
|
dict(input_shape=[6, 14, 13, 3], block_shape=[1, 2], crops=[[1, 5], [4, 1]]),
|
|
dict(input_shape=[72, 2, 1, 4, 2], block_shape=[3, 4, 2],
|
|
crops=[[1, 2], [0, 0], [3, 0]]),
|
|
]
|
|
|
|
@pytest.mark.parametrize("params", test_data_basic)
|
|
@pytest.mark.precommit_tf_fe
|
|
@pytest.mark.nightly
|
|
def test_batch_to_space_nd_basic(self, params, ie_device, precision, ir_version, temp_dir,
|
|
use_new_frontend, use_old_api):
|
|
self._test(*self.create_batch_to_space_nd_net(**params),
|
|
ie_device, precision, ir_version, temp_dir=temp_dir,
|
|
use_new_frontend=use_new_frontend, use_old_api=use_old_api)
|