onnxscript/tests/models/graph_attr.py

# Copyright (c) Microsoft Corporation.
# Licensed under the MIT License.

from onnxscript import graph, script
from onnxscript.onnx_opset import opset15 as op
from onnxscript.onnx_types import BOOL, INT64


@script()
def cumulative_sum(X: INT64["N"]):
    """Test use of a nested-function as a graph-attribute, using the Scan operator."""

    @graph()
    def Sum(sum_in, next):
        sum_out = sum_in + next
        scan_out = op.Identity(sum_out)
        return sum_out, scan_out

    zero = op.Constant(value_int=0)
    _, result = op.Scan(zero, X, body=Sum, num_scan_inputs=1)
    return result


@script()
def sum_to(X: INT64):
    """Test use of a nested-function as a graph-attribute, using the Loop operator."""

    @graph()
    def LoopBody(i: INT64, cond: BOOL, sum_in: INT64):
        cond_out = op.Identity(cond)
        sum_out = sum_in + i
        scan_out = op.Identity(sum_out)
        return cond_out, sum_out, scan_out

    zero = op.Constant(value_int=0)
    _, result = op.Loop(X, None, zero, body=LoopBody)
    return result


@script()
def sum_to_error(X: INT64):
    """Test omitted @graph annotation error."""

    def LoopBody(i: INT64, cond: BOOL, sum_in: INT64):
        cond_out = op.Identity(cond)
        sum_out = sum_in + i
        scan_out = op.Identity(sum_out)
        return cond_out, sum_out, scan_out

    zero = op.Constant(value_int=0)
    _, result = op.Loop(X, None, zero, body=LoopBody)
    return result


@script()
def loop_add(X: INT64["N"], M: INT64):
    """Test use of a nested-function as a graph-attribute, with references to
    outer scope variables."""

    @graph()
    def LoopBody(i: INT64, cond: BOOL, sum_in: INT64["N"]):
        cond_out = op.Identity(cond)
        sum_out = sum_in + X
        return cond_out, sum_out

    result = op.Loop(M, None, X, body=LoopBody)
    return result