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| 1 | +# Copyright 2025 Arm Limited and/or its affiliates. |
| 2 | +# |
| 3 | +# This source code is licensed under the BSD-style license found in the |
| 4 | +# LICENSE file in the root directory of this source tree. |
| 5 | + |
| 6 | +from typing import Tuple |
| 7 | + |
| 8 | +import torch |
| 9 | + |
| 10 | +from executorch.backends.arm.test import common |
| 11 | +from executorch.backends.arm.test.tester.test_pipeline import ( |
| 12 | + EthosU55PipelineINT, |
| 13 | + EthosU85PipelineINT, |
| 14 | + TosaPipelineFP, |
| 15 | + TosaPipelineINT, |
| 16 | + VgfPipeline, |
| 17 | +) |
| 18 | + |
| 19 | +aten_op = "torch.ops.aten.logit.default" |
| 20 | +exir_op = "executorch_exir_dialects_edge__ops_aten__logit_default" |
| 21 | + |
| 22 | +input_t1 = Tuple[torch.Tensor] |
| 23 | + |
| 24 | +test_data_suite = { |
| 25 | + "zeros": [torch.zeros((10, 10, 10)), None], |
| 26 | + "ones": [torch.ones((10, 10, 10)), None], |
| 27 | + "uniform_valid": [torch.rand((10, 10, 10)), None], |
| 28 | + "near_zero": [torch.full((10, 10), 1e-8), None], |
| 29 | + "near_one": [torch.full((10, 10), 1 - 1e-8), None], |
| 30 | + "mixed": [torch.tensor([0.0, 1e-5, 0.5, 1 - 1e-5, 1.0]), None], |
| 31 | + "multi_dim": [torch.rand((2, 3, 4)), None], |
| 32 | + "eps": [torch.zeros((10, 10, 10)), 1e-6], |
| 33 | + "invalid_neg": [torch.full((5,), -0.1), 1e-6], |
| 34 | + "invalid_gt1": [torch.full((5,), 1.1), 1e-6], |
| 35 | +} |
| 36 | + |
| 37 | + |
| 38 | +class Logit(torch.nn.Module): |
| 39 | + |
| 40 | + def forward(self, x: torch.Tensor, eps: torch.float32): |
| 41 | + return torch.logit(x, eps=eps) |
| 42 | + |
| 43 | + |
| 44 | +@common.parametrize("test_data", test_data_suite) |
| 45 | +def test_logit_tosa_FP(test_data: Tuple): |
| 46 | + pipeline = TosaPipelineFP[input_t1]( |
| 47 | + Logit(), |
| 48 | + (*test_data,), |
| 49 | + aten_op=aten_op, |
| 50 | + exir_op=exir_op, |
| 51 | + ) |
| 52 | + pipeline.run() |
| 53 | + |
| 54 | + |
| 55 | +@common.parametrize("test_data", test_data_suite) |
| 56 | +def test_logit_tosa_INT(test_data: Tuple): |
| 57 | + pipeline = TosaPipelineINT[input_t1]( |
| 58 | + Logit(), |
| 59 | + (*test_data,), |
| 60 | + aten_op=[], |
| 61 | + exir_op=exir_op, |
| 62 | + ) |
| 63 | + pipeline.run() |
| 64 | + |
| 65 | + |
| 66 | +@common.XfailIfNoCorstone300 |
| 67 | +@common.parametrize("test_data", test_data_suite) |
| 68 | +def test_logit_u55_INT(test_data: Tuple): |
| 69 | + pipeline = EthosU55PipelineINT[input_t1]( |
| 70 | + Logit(), |
| 71 | + (*test_data,), |
| 72 | + aten_ops=[], |
| 73 | + exir_ops=exir_op, |
| 74 | + ) |
| 75 | + pipeline.run() |
| 76 | + |
| 77 | + |
| 78 | +@common.XfailIfNoCorstone320 |
| 79 | +@common.parametrize("test_data", test_data_suite) |
| 80 | +def test_logit_u85_INT(test_data: Tuple): |
| 81 | + pipeline = EthosU85PipelineINT[input_t1]( |
| 82 | + Logit(), |
| 83 | + (*test_data,), |
| 84 | + aten_ops=[], |
| 85 | + exir_ops=exir_op, |
| 86 | + ) |
| 87 | + pipeline.run() |
| 88 | + |
| 89 | + |
| 90 | +@common.parametrize( |
| 91 | + "test_data", |
| 92 | + test_data_suite, |
| 93 | +) |
| 94 | +@common.SkipIfNoModelConverter |
| 95 | +def test_logit_vgf_FP(test_data: input_t1): |
| 96 | + pipeline = VgfPipeline[input_t1]( |
| 97 | + Logit(), |
| 98 | + (*test_data,), |
| 99 | + [], |
| 100 | + [], |
| 101 | + tosa_version="TOSA-1.0+FP", |
| 102 | + ) |
| 103 | + pipeline.run() |
| 104 | + |
| 105 | + |
| 106 | +@common.parametrize( |
| 107 | + "test_data", |
| 108 | + test_data_suite, |
| 109 | +) |
| 110 | +@common.SkipIfNoModelConverter |
| 111 | +def test_logit_vgf_INT(test_data: input_t1): |
| 112 | + pipeline = VgfPipeline[input_t1]( |
| 113 | + Logit(), |
| 114 | + (*test_data,), |
| 115 | + [], |
| 116 | + [], |
| 117 | + tosa_version="TOSA-1.0+INT", |
| 118 | + ) |
| 119 | + pipeline.run() |
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