(test_traced_module)
| 66 | |
| 67 | @pytest.mark.parametrize("test_traced_module", [True, False]) |
| 68 | def test_module_api(test_traced_module): |
| 69 | m = MyModule() |
| 70 | if test_traced_module: |
| 71 | buff = m.buff |
| 72 | param = m.param |
| 73 | m = trace_module(m, Tensor(np.random.random((1, 4, 16, 16)))) |
| 74 | assert "buff" not in m.__dict__ |
| 75 | assert "param" not in m.__dict__ |
| 76 | m.buff = buff |
| 77 | m.param = param |
| 78 | |
| 79 | assert list(m.children()) == [m.bn, m.i] |
| 80 | assert list(m.named_children()) == [("bn", m.bn), ("i", m.i)] |
| 81 | assert list(m.modules()) == [m, m.bn, m.i, m.i.bn] |
| 82 | assert list(m.named_modules()) == [ |
| 83 | ("", m), |
| 84 | ("bn", m.bn), |
| 85 | ("i", m.i), |
| 86 | ("i.bn", m.i.bn), |
| 87 | ] |
| 88 | assert list(m.named_modules(prefix="x")) == [ |
| 89 | ("x", m), |
| 90 | ("x.bn", m.bn), |
| 91 | ("x.i", m.i), |
| 92 | ("x.i.bn", m.i.bn), |
| 93 | ] |
| 94 | assert list(m.buffers()) == [ |
| 95 | m.bn.running_mean, |
| 96 | m.bn.running_var, |
| 97 | m.buff, |
| 98 | m.i.bn.running_mean, |
| 99 | m.i.bn.running_var, |
| 100 | ] |
| 101 | assert list(m.buffers(recursive=False)) == [m.buff] |
| 102 | assert list(m.named_buffers()) == [ |
| 103 | ("bn.running_mean", m.bn.running_mean), |
| 104 | ("bn.running_var", m.bn.running_var), |
| 105 | ("buff", m.buff), |
| 106 | ("i.bn.running_mean", m.i.bn.running_mean), |
| 107 | ("i.bn.running_var", m.i.bn.running_var), |
| 108 | ] |
| 109 | assert list(m.parameters()) == [ |
| 110 | m.bn.bias, |
| 111 | m.bn.weight, |
| 112 | m.i.bn.bias, |
| 113 | m.i.bn.weight, |
| 114 | m.param, |
| 115 | ] |
| 116 | assert list(m.named_parameters()) == [ |
| 117 | ("bn.bias", m.bn.bias), |
| 118 | ("bn.weight", m.bn.weight), |
| 119 | ("i.bn.bias", m.i.bn.bias), |
| 120 | ("i.bn.weight", m.i.bn.weight), |
| 121 | ("param", m.param), |
| 122 | ] |
| 123 | assert list(m.tensors()) == [ |
| 124 | m.bn.bias, |
| 125 | m.bn.running_mean, |
nothing calls this directly
no test coverage detected