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openvino/docs/snippets/ov_model_snippets.py
Ilya Churaev 0c9abf43a9 Updated copyright headers (#15124)
* Updated copyright headers

* Revert "Fixed linker warnings in docs snippets on Windows (#15119)"

This reverts commit 372699ec49.
2023-01-16 11:02:17 +04:00

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Python

# Copyright (C) 2018-2023 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
import numpy as np
#! [import]
import openvino.runtime as ov
#! [import]
import openvino.runtime.passes as passes
# ! [ov:create_simple_model]
def create_simple_model():
# This example shows how to create ov::Function
#
# Parameter--->Multiply--->Add--->Result
# Constant---' /
# Constant---'
data = ov.opset8.parameter([3, 1, 2], ov.Type.f32)
mul_constant = ov.opset8.constant([1.5], ov.Type.f32)
mul = ov.opset8.multiply(data, mul_constant)
add_constant = ov.opset8.constant([0.5], ov.Type.f32)
add = ov.opset8.add(mul, add_constant)
res = ov.opset8.result(add)
return ov.Model([res], [data], "model")
# ! [ov:create_simple_model]
# ! [ov:create_advanced_model]
def create_advanced_model():
# Advanced example with multi output operation
#
# Parameter->Split---0-->Result
# | `--1-->Relu-->Result
# `----2-->Result
data = ov.opset8.parameter(ov.Shape([1, 3, 64, 64]), ov.Type.f32)
# Create Constant for axis value
axis_const = ov.opset8.constant(ov.Type.i64, ov.Shape({}), [1])
# Create opset8::Split operation that splits input to three slices across 1st dimension
split = ov.opset8.split(data, axis_const, 3)
# Create opset8::Relu operation that takes 1st Split output as input
relu = ov.opset8.relu(split.output(1))
# Results operations will be created automatically based on provided OutputVector
return ov.Model([split.output(0), relu, split.output[2]], [data], "model")
# ! [ov:create_advanced_model]
def ov_api_examples():
# Doesn't work
# node = ov.opset8.parameter(ov.PartialShape([ov.Dimension.dynamic(), 3, 64, 64]), np.float32)
node = ov.opset8.parameter(ov.PartialShape([ov.Dimension.dynamic(), ov.Dimension(3), ov.Dimension(64), ov.Dimension(64)]), np.float32)
# it doesn't work:
# static_shape = ov.Shape()
# ! [ov:partial_shape]
partial_shape = node.output(0).get_partial_shape() # get zero output partial shape
if not partial_shape.is_dynamic: # or partial_shape.is_static
static_shape = partial_shape.get_shape()
# ! [ov:partial_shape]
# ! [ov:serialize]
def serialize_example(m : ov.Model):
from openvino.runtime import serialize
serialize(m, xml_path='model.xml', bin_path='model.bin')
# ! [ov:serialize]
# ! [ov:visualize]
def visualize_example(m : ov.Model):
# Need import:
# * import openvino.runtime.passes as passes
pass_manager = passes.Manager()
pass_manager.register_pass(pass_name="VisualTree", file_name='image.svg')
pass_manager.run_passes(m)
# ! [ov:visualize]
def model_inputs_outputs(model : ov.Model):
#! [all_inputs_ouputs]
inputs = model.inputs
outputs = model.outputs
#! [all_inputs_ouputs]
if __name__ == '__main__':
ov_api_examples()
create_simple_model()
create_advanced_model()