58 lines
2.0 KiB
Python
58 lines
2.0 KiB
Python
# Copyright (C) 2018-2021 Intel Corporation
|
|
# SPDX-License-Identifier: Apache-2.0
|
|
|
|
import pytest
|
|
|
|
from openvino.inference_engine import InputInfoCPtr, DataPtr, IECore, TensorDesc
|
|
from conftest import model_path
|
|
|
|
|
|
test_net_xml, test_net_bin = model_path()
|
|
|
|
|
|
def test_name(device):
|
|
ie = IECore()
|
|
net = ie.read_network(model=test_net_xml, weights=test_net_bin)
|
|
exec_net = ie.load_network(net, device, num_requests=5)
|
|
assert isinstance(exec_net.input_info['data'], InputInfoCPtr)
|
|
assert exec_net.input_info['data'].name == "data", "Incorrect name"
|
|
del exec_net
|
|
|
|
|
|
def test_precision(device):
|
|
ie = IECore()
|
|
net = ie.read_network(model=test_net_xml, weights=test_net_bin)
|
|
exec_net = ie.load_network(net, device, num_requests=5)
|
|
assert isinstance(exec_net.input_info['data'], InputInfoCPtr)
|
|
assert exec_net.input_info['data'].precision == "FP32", "Incorrect precision"
|
|
del exec_net
|
|
|
|
|
|
def test_no_precision_setter(device):
|
|
ie = IECore()
|
|
net = ie.read_network(model=test_net_xml, weights=test_net_bin)
|
|
exec_net = ie.load_network(net, device, num_requests=5)
|
|
with pytest.raises(AttributeError) as e:
|
|
exec_net.input_info['data'].precision = "I8"
|
|
assert "attribute 'precision' of 'openvino.inference_engine.ie_api.InputInfoCPtr' " \
|
|
"objects is not writable" in str(e.value)
|
|
del exec_net
|
|
|
|
|
|
def test_input_data(device):
|
|
ie = IECore()
|
|
net = ie.read_network(model=test_net_xml, weights=test_net_bin)
|
|
exec_net = ie.load_network(net, device, num_requests=5)
|
|
assert isinstance(exec_net.input_info['data'], InputInfoCPtr)
|
|
assert isinstance(exec_net.input_info['data'].input_data, DataPtr), "Incorrect precision for layer 'fc_out'"
|
|
del exec_net
|
|
|
|
|
|
def test_tensor_desc(device):
|
|
ie = IECore()
|
|
net = ie.read_network(model=test_net_xml, weights=test_net_bin)
|
|
exec_net = ie.load_network(net, device, num_requests=5)
|
|
tensor_desc = exec_net.input_info['data'].tensor_desc
|
|
assert isinstance(tensor_desc, TensorDesc)
|
|
assert tensor_desc.layout == "NCHW"
|