| # Copyright (c) Meta Platforms, Inc. and affiliates. |
| # All rights reserved. |
| # |
| # This source code is licensed under the BSD-style license found in the |
| # LICENSE file in the root directory of this source tree. |
| |
| import unittest |
| |
| import torch |
| from executorch.backends.xnnpack.test.tester import Tester |
| |
| |
| class TestFloor(unittest.TestCase): |
| class Floor(torch.nn.Module): |
| def __init__(self): |
| super().__init__() |
| |
| def forward(self, x): |
| z = torch.floor(x) |
| return z |
| |
| def _test_floor(self, inputs): |
| ( |
| Tester(self.Floor(), inputs) |
| .export() |
| .check_count({"torch.ops.aten.floor.default": 1}) |
| .to_edge_transform_and_lower() |
| .check_count({"torch.ops.higher_order.executorch_call_delegate": 1}) |
| .check_not(["executorch_exir_dialects_edge__ops_aten_floor_default"]) |
| .to_executorch() |
| .serialize() |
| .run_method_and_compare_outputs() |
| ) |
| |
| def test_fp16_floor(self): |
| inputs = ( |
| torch.Tensor( |
| [ |
| [0.0, 0.1, 0.5, 0.499], |
| [-0.6, -0.4, 100.1, -1000.1], |
| ], |
| ).to(torch.float16), |
| ) |
| self._test_floor(inputs) |
| |
| def test_fp32_floor(self): |
| inputs = ( |
| torch.Tensor( |
| [ |
| [0.0, 0.1, 0.5, 0.499], |
| [-0.6, -0.4, 100.1, -1000.1], |
| ], |
| ), |
| ) |
| self._test_floor(inputs) |