c8ac7c9b82
* [CPU] Infer_request crashes for SpaceToBatch operation. * Fixes as per comments. * Fixes as per comments 2.
69 lines
2.9 KiB
Python
69 lines
2.9 KiB
Python
# Copyright (C) 2018-2023 Intel Corporation
|
|
# SPDX-License-Identifier: Apache-2.0
|
|
|
|
import pytest
|
|
|
|
from common.tf_layer_test_class import CommonTFLayerTest
|
|
|
|
|
|
class TestSpaceToBatch(CommonTFLayerTest):
|
|
def create_space_to_batch_net(self, in_shape, pads_value, block_shape_value):
|
|
import tensorflow as tf
|
|
|
|
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, in_shape, 'Input')
|
|
pads = tf.constant(pads_value, dtype=tf.int32)
|
|
block_shape = tf.constant(block_shape_value, dtype=tf.int32)
|
|
tf.space_to_batch_nd(x, block_shape, pads, name='Operation')
|
|
|
|
tf.compat.v1.global_variables_initializer()
|
|
tf_net = sess.graph_def
|
|
|
|
return tf_net, None
|
|
|
|
test_data_basic = [
|
|
dict(in_shape=[4, 1, 1, 3], block_shape_value=[1], pads_value=[[0, 0]]),
|
|
dict(in_shape=[2, 3, 6, 5], block_shape_value=[2, 3, 3], pads_value=[[1, 0], [0, 0], [2, 2]])
|
|
]
|
|
|
|
@pytest.mark.parametrize("params", test_data_basic)
|
|
@pytest.mark.precommit_tf_fe
|
|
@pytest.mark.nightly
|
|
def test_space_to_batch_basic(self, params, ie_device, precision, ir_version, temp_dir,
|
|
use_new_frontend, use_old_api):
|
|
self._test(*self.create_space_to_batch_net(**params),
|
|
ie_device, precision, ir_version, temp_dir=temp_dir,
|
|
use_new_frontend=use_new_frontend, use_old_api=use_old_api)
|
|
|
|
test_data_4D = [
|
|
dict(in_shape=[1, 2, 2, 3], block_shape_value=[2, 2], pads_value=[[0, 0], [0, 0]]),
|
|
dict(in_shape=[1, 2, 9, 1], block_shape_value=[4, 3], pads_value=[[1, 1], [2, 4]]),
|
|
dict(in_shape=[1, 2, 1, 4], block_shape_value=[3, 2, 2], pads_value=[[1, 0], [0, 1], [1, 1]])
|
|
]
|
|
|
|
@pytest.mark.parametrize("params", test_data_4D)
|
|
@pytest.mark.nightly
|
|
def test_space_to_batch_4D(self, params, ie_device, precision, ir_version, temp_dir,
|
|
use_new_frontend, use_old_api):
|
|
self._test(*self.create_space_to_batch_net(**params),
|
|
ie_device, precision, ir_version, temp_dir=temp_dir,
|
|
use_new_frontend=use_new_frontend, use_old_api=use_old_api)
|
|
|
|
test_data_5D = [
|
|
dict(in_shape=[3, 3, 4, 5, 2], block_shape_value=[3, 4, 2],
|
|
pads_value=[[1, 2], [0, 0], [3, 0]]),
|
|
dict(in_shape=[3, 3, 4, 5, 2], block_shape_value=[3, 4, 2, 2],
|
|
pads_value=[[1, 2], [0, 0], [3, 0], [0, 0]]),
|
|
]
|
|
|
|
@pytest.mark.parametrize("params", test_data_5D)
|
|
@pytest.mark.nightly
|
|
def test_space_to_batch_5D(self, params, ie_device, precision, ir_version, temp_dir,
|
|
use_new_frontend, use_old_api):
|
|
self._test(*self.create_space_to_batch_net(**params),
|
|
ie_device, precision, ir_version, temp_dir=temp_dir,
|
|
use_new_frontend=use_new_frontend, use_old_api=use_old_api)
|