54 lines
2.0 KiB
Python
54 lines
2.0 KiB
Python
# 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 TestPack(CommonTFLayerTest):
|
|
def _prepare_input(self, inputs_info):
|
|
inputs_data = {}
|
|
for input_name, input_shape in inputs_info.items():
|
|
inputs_data[input_name] = np.random.randint(-5, 5, input_shape).astype(self.input_type)
|
|
return inputs_data
|
|
|
|
def create_pack_net(self, input_shape, input_num, axis, input_type):
|
|
self.input_type = input_type
|
|
tf.compat.v1.reset_default_graph()
|
|
# Create the graph and model
|
|
with tf.compat.v1.Session() as sess:
|
|
inputs = []
|
|
type_map = {
|
|
np.float32: tf.float32,
|
|
np.int32: tf.int32,
|
|
}
|
|
assert input_type in type_map, "Test error: need to update type_map"
|
|
tf_type = type_map[input_type]
|
|
for ind in range(input_num):
|
|
inputs.append(tf.compat.v1.placeholder(tf_type, input_shape, 'input' + str(ind)))
|
|
if axis is not None:
|
|
tf.raw_ops.Pack(values=inputs, axis=axis)
|
|
else:
|
|
tf.raw_ops.Pack(values=inputs)
|
|
tf.compat.v1.global_variables_initializer()
|
|
|
|
tf_net = sess.graph_def
|
|
|
|
return tf_net, None
|
|
|
|
test_data_basic = [
|
|
dict(input_shape=[2, 4], input_num=2, axis=None, input_type=np.float32),
|
|
dict(input_shape=[3, 1, 2], input_num=3, axis=1, input_type=np.int32),
|
|
]
|
|
|
|
@pytest.mark.parametrize("params", test_data_basic)
|
|
@pytest.mark.precommit_tf_fe
|
|
@pytest.mark.nightly
|
|
def test_pack_basic(self, params, ie_device, precision, ir_version, temp_dir,
|
|
use_new_frontend, use_old_api):
|
|
self._test(*self.create_pack_net(**params),
|
|
ie_device, precision, ir_version, temp_dir=temp_dir,
|
|
use_new_frontend=use_new_frontend, use_old_api=use_old_api)
|