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

import os

import subprocess
import tempfile
import unittest

from torch.testing._internal.common_utils import (
    IS_WINDOWS,
    run_tests,
    slowTest,
    TestCase,
)

PYTORCH_COLLECT_COVERAGE = bool(os.environ.get("PYTORCH_COLLECT_COVERAGE"))


# This is a very simple smoke test for the functional autograd benchmarking script.
class TestFunctionalAutogradBenchmark(TestCase):
    def _test_runner(self, model, disable_gpu=False):
        # Note about windows:
        # The temporary file is exclusively open by this process and the child process
        # is not allowed to open it again. As this is a simple smoke test, we choose for now
        # not to run this on windows and keep the code here simple.
        with tempfile.NamedTemporaryFile() as out_file:
            cmd = [
                "python3",
                "../benchmarks/functional_autograd_benchmark/functional_autograd_benchmark.py",
            ]
            # Only run the warmup
            cmd += ["--num-iters", "0"]
            # Only run the vjp task (fastest one)
            cmd += ["--task-filter", "vjp"]
            # Only run the specified model
            cmd += ["--model-filter", model]
            # Output file
            cmd += ["--output", out_file.name]
            if disable_gpu:
                cmd += ["--gpu", "-1"]

            res = subprocess.run(cmd)

            self.assertTrue(res.returncode == 0)
            # Check that something was written to the file
            out_file.seek(0, os.SEEK_END)
            self.assertTrue(out_file.tell() > 0)

    @unittest.skipIf(
        IS_WINDOWS,
        "NamedTemporaryFile on windows does not have all the features we need.",
    )
    @unittest.skipIf(
        PYTORCH_COLLECT_COVERAGE,
        "Can deadlocks with gcov, see https://github.com/pytorch/pytorch/issues/49656",
    )
    def test_fast_tasks(self):
        fast_tasks = [
            "resnet18",
            "ppl_simple_reg",
            "ppl_robust_reg",
            "wav2letter",
            "transformer",
            "multiheadattn",
        ]

        for task in fast_tasks:
            self._test_runner(task)

    @slowTest
    @unittest.skipIf(
        IS_WINDOWS,
        "NamedTemporaryFile on windows does not have all the features we need.",
    )
    def test_slow_tasks(self):
        slow_tasks = ["fcn_resnet", "detr"]
        # deepspeech is voluntarily excluded as it takes too long to run without
        # proper tuning of the number of threads it should use.

        for task in slow_tasks:
            # Disable GPU for slow test as the CI GPU don't have enough memory
            self._test_runner(task, disable_gpu=True)


if __name__ == "__main__":
    run_tests()