1# Copyright (c) Meta Platforms, Inc. and affiliates. 2# All rights reserved. 3# 4# This source code is licensed under the BSD-style license found in the 5# LICENSE file in the root directory of this source tree. 6 7import unittest 8 9import torch 10from executorch.backends.xnnpack.test.tester import Tester 11 12 13class TestNegate(unittest.TestCase): 14 class Negate(torch.nn.Module): 15 def __init__(self): 16 super().__init__() 17 18 def forward(self, x): 19 z = torch.neg(x) 20 return z 21 22 def _test_negate(self, inputs): 23 ( 24 Tester(self.Negate(), inputs) 25 .export() 26 .check_count({"torch.ops.aten.neg.default": 1}) 27 .to_edge_transform_and_lower() 28 .check_count({"torch.ops.higher_order.executorch_call_delegate": 1}) 29 .check_not(["executorch_exir_dialects_edge__ops_aten_neg_default"]) 30 .to_executorch() 31 .serialize() 32 .run_method_and_compare_outputs() 33 ) 34 35 def test_fp16_negate(self): 36 inputs = ( 37 torch.Tensor( 38 [ 39 [0.0, 0.1, 0.5, 0.499], 40 [-0.6, -0.4, 100.1, -1000.1], 41 ], 42 ).to(torch.float16), 43 ) 44 self._test_negate(inputs) 45 46 def test_fp32_negate(self): 47 inputs = ( 48 torch.Tensor( 49 [ 50 [0.0, 0.1, 0.5, 0.499], 51 [-0.6, -0.4, 100.1, -1000.1], 52 ], 53 ), 54 ) 55 self._test_negate(inputs) 56