def test_compact_api_onnx(): img = read_image() model = compile_model(test_net_onnx) assert(isinstance(model, CompiledModel)) results = model.infer_new_request({"data": img}) assert np.argmax(results[list(results)[0]]) == 2
# Copyright (C) 2018-2022 Intel Corporation # SPDX-License-Identifier: Apache-2.0 import numpy as np #! [auto_compilation] import openvino.runtime as ov compiled_model = ov.compile_model("model.xml") #! [auto_compilation] #! [properties_example] core = ov.Core() input_a = ov.opset8.parameter([8]) res = ov.opset8.absolute(input_a) model = ov.Model(res, [input_a]) compiled = core.compile_model(model, "CPU") print(model.inputs) print(model.outputs) print(compiled.inputs) print(compiled.outputs) #! [properties_example] #! [tensor_basics] data_float64 = np.ones(shape=(2, 8)) tensor = ov.Tensor(data_float64) assert tensor.element_type == ov.Type.f64