onnxscript/modified_testcases/loop_test.py

# Copyright (c) Microsoft Corporation.
# Licensed under the MIT License.
import unittest
import numpy as np

# Assuming the following imports are correct based on your requirements
from main import FLOAT, INT64, Identity

class LoopOpTest(unittest.TestCase):
    def validate(self, func):
        """Placeholder for validation logic."""
        # This method should validate the compiled function.
        # Normally, you'll implement this based on your framework requirements.
        pass

    def test_loop(self):
        """Basic loop test."""

        @script()
        def sumprod(x: FLOAT["N"], N: INT64) -> (FLOAT["N"], FLOAT["N"]):
            sum_result = Identity(x)
            prod_result = Identity(x)
            for _ in range(N):
                sum_result = sum_result + x
                prod_result = prod_result * x
            return sum_result, prod_result

        self.validate(sumprod)
        x = np.array([2])
        M = 3
        sum_result, prod_result = sumprod(x, M)
        self.assertTrue(np.array_equal(sum_result, np.array([8])))
        self.assertTrue(np.array_equal(prod_result, np.array([16])))

    def test_loop_bound(self):
        """Test with an expression for loop bound."""

        @script()
        def sumprod(x: FLOAT["N"], N: INT64) -> (FLOAT["N"], FLOAT["N"]):
            sum_result = Identity(x)
            prod_result = Identity(x)
            for _ in range(2 * N + 1):
                sum_result = sum_result + x
                prod_result = prod_result * x
            return sum_result, prod_result

        self.validate(sumprod)


# Ensure the script runs if this module is executed
if __name__ == "__main__":
    unittest.main()