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openvino/inference-engine/ie_bridges/python/tests/test_InputInfoPtr.py
Alexey Lebedev aaa632e8f5 Fix test (#5843)
2021-05-27 17:17:34 +03:00

89 lines
2.3 KiB
Python

# Copyright (C) 2018-2021 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
import pytest
from openvino.inference_engine import InputInfoPtr, PreProcessInfo, DataPtr, IECore, TensorDesc, ColorFormat
from conftest import model_path
test_net_xml, test_net_bin = model_path()
def get_input_info():
ie = IECore()
net = ie.read_network(model=test_net_xml, weights=test_net_bin)
return net.input_info["data"]
def test_input_info():
assert isinstance(get_input_info(), InputInfoPtr)
def test_input_data():
assert isinstance(get_input_info().input_data, DataPtr)
def test_input_data_setter():
ie = IECore()
net = ie.read_network(model=test_net_xml, weights=test_net_bin)
input_info = net.input_info["data"]
other_input_data = net.outputs["fc_out"]
input_info.input_data = other_input_data
assert input_info.input_data.name == "fc_out"
def test_incorrect_input_info_setter():
with pytest.raises(TypeError) as e:
get_input_info().input_data = "dfds"
assert "Argument 'input_ptr' has incorrect type" in str(e.value)
def test_name():
assert get_input_info().name == "data"
def test_precision():
assert get_input_info().precision == "FP32"
def test_precision_setter():
input_info = get_input_info()
input_info.precision = "I8"
assert input_info.precision == "I8", "Incorrect precision"
def test_incorrect_precision_setter():
with pytest.raises(ValueError) as e:
get_input_info().precision = "123"
assert "Unsupported precision 123! List of supported precisions:" in str(e.value)
def test_layout():
assert get_input_info().layout == "NCHW"
def test_layout_setter():
input_info = get_input_info()
input_info.layout = "NHWC"
assert input_info.layout == "NHWC", "Incorrect layout"
def test_incorrect_layout_setter():
with pytest.raises(ValueError) as e:
get_input_info().layout = "123"
assert "Unsupported layout 123! List of supported layouts:" in str(e.value)
def test_preprocess_info():
input_info = get_input_info()
preprocess_info = input_info.preprocess_info
assert isinstance(preprocess_info, PreProcessInfo)
assert preprocess_info.color_format == ColorFormat.RAW
def test_tensor_desc():
tensor_desc = get_input_info().tensor_desc
assert isinstance(tensor_desc, TensorDesc)
assert tensor_desc.layout == "NCHW"