test_cpp_api_parity.py

# Owner(s): ["module: cpp"]


import os

from cpp_api_parity import (
    functional_impl_check,
    module_impl_check,
    sample_functional,
    sample_module,
)
from cpp_api_parity.parity_table_parser import parse_parity_tracker_table
from cpp_api_parity.utils import is_torch_nn_functional_test

import torch
import torch.testing._internal.common_nn as common_nn
import torch.testing._internal.common_utils as common


# NOTE: turn this on if you want to print source code of all C++ tests (e.g. for debugging purpose)
PRINT_CPP_SOURCE = False

devices = ["cpu", "cuda"]

PARITY_TABLE_PATH = os.path.join(
    os.path.dirname(__file__), "cpp_api_parity", "parity-tracker.md"
)

parity_table = parse_parity_tracker_table(PARITY_TABLE_PATH)


@torch.testing._internal.common_utils.markDynamoStrictTest
class TestCppApiParity(common.TestCase):
    module_test_params_map = {}
    functional_test_params_map = {}


expected_test_params_dicts = []

if not common.IS_ARM64:
    for test_params_dicts, test_instance_class in [
        (sample_module.module_tests, common_nn.NewModuleTest),
        (sample_functional.functional_tests, common_nn.NewModuleTest),
        (common_nn.module_tests, common_nn.NewModuleTest),
        (common_nn.new_module_tests, common_nn.NewModuleTest),
        (common_nn.criterion_tests, common_nn.CriterionTest),
    ]:
        for test_params_dict in test_params_dicts:
            if test_params_dict.get("test_cpp_api_parity", True):
                if is_torch_nn_functional_test(test_params_dict):
                    functional_impl_check.write_test_to_test_class(
                        TestCppApiParity,
                        test_params_dict,
                        test_instance_class,
                        parity_table,
                        devices,
                    )
                else:
                    module_impl_check.write_test_to_test_class(
                        TestCppApiParity,
                        test_params_dict,
                        test_instance_class,
                        parity_table,
                        devices,
                    )
                expected_test_params_dicts.append(test_params_dict)

    # Assert that all NN module/functional test dicts appear in the parity test
    assert len(
        [name for name in TestCppApiParity.__dict__ if "test_torch_nn_" in name]
    ) == len(expected_test_params_dicts) * len(devices)

    # Assert that there exists auto-generated tests for `SampleModule` and `sample_functional`.
    # 4 == 2 (number of test dicts that are not skipped) * 2 (number of devices)
    assert (
        len([name for name in TestCppApiParity.__dict__ if "SampleModule" in name]) == 4
    )
    # 4 == 2 (number of test dicts that are not skipped) * 2 (number of devices)
    assert (
        len([name for name in TestCppApiParity.__dict__ if "sample_functional" in name])
        == 4
    )

    module_impl_check.build_cpp_tests(
        TestCppApiParity, print_cpp_source=PRINT_CPP_SOURCE
    )
    functional_impl_check.build_cpp_tests(
        TestCppApiParity, print_cpp_source=PRINT_CPP_SOURCE
    )

if __name__ == "__main__":
    common.TestCase._default_dtype_check_enabled = True
    common.run_tests()