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| 1 | +# SPDX-FileCopyrightText: Copyright (c) 2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved. |
| 2 | +# SPDX-License-Identifier: Apache-2.0 |
| 3 | +# |
| 4 | +# Licensed under the Apache License, Version 2.0 (the "License"); |
| 5 | +# you may not use this file except in compliance with the License. |
| 6 | +# You may obtain a copy of the License at |
| 7 | +# |
| 8 | +# http://www.apache.org/licenses/LICENSE-2.0 |
| 9 | +# |
| 10 | +# Unless required by applicable law or agreed to in writing, software |
| 11 | +# distributed under the License is distributed on an "AS IS" BASIS, |
| 12 | +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| 13 | +# See the License for the specific language governing permissions and |
| 14 | +# limitations under the License. |
| 15 | + |
| 16 | +import os |
| 17 | +import tempfile |
| 18 | + |
| 19 | +import pytest |
| 20 | +import torch |
| 21 | + |
| 22 | +import modelopt.torch.opt as mto |
| 23 | + |
| 24 | + |
| 25 | +class TestModeloptStateValidation: |
| 26 | + """Test suite for modelopt state validation.""" |
| 27 | + |
| 28 | + def test_validate_modelopt_state_valid(self): |
| 29 | + """Test validation of a valid modelopt state.""" |
| 30 | + valid_state = { |
| 31 | + "modelopt_state_dict": [], |
| 32 | + "modelopt_version": "0.1.0", |
| 33 | + } |
| 34 | + # Should not raise any exception |
| 35 | + mto.ModeloptStateManager.validate_modelopt_state(valid_state) |
| 36 | + |
| 37 | + def test_validate_modelopt_state_not_dict(self): |
| 38 | + """Test validation fails when state is not a dictionary.""" |
| 39 | + with pytest.raises(TypeError) as exc_info: |
| 40 | + mto.ModeloptStateManager.validate_modelopt_state([1, 2, 3]) |
| 41 | + assert "Expected loaded modelopt state to be a dictionary" in str(exc_info.value) |
| 42 | + |
| 43 | + def test_validate_modelopt_state_missing_keys(self): |
| 44 | + """Test validation fails when required keys are missing.""" |
| 45 | + with pytest.raises(ValueError) as exc_info: |
| 46 | + mto.ModeloptStateManager.validate_modelopt_state({"modelopt_state_dict": []}) |
| 47 | + assert "missing required keys" in str(exc_info.value) |
| 48 | + assert "modelopt_version" in str(exc_info.value) |
| 49 | + |
| 50 | + def test_validate_modelopt_state_invalid_state_dict_type(self): |
| 51 | + """Test validation fails when modelopt_state_dict is not a list.""" |
| 52 | + with pytest.raises(TypeError) as exc_info: |
| 53 | + mto.ModeloptStateManager.validate_modelopt_state({ |
| 54 | + "modelopt_state_dict": "not a list", |
| 55 | + "modelopt_version": "0.1.0", |
| 56 | + }) |
| 57 | + assert "modelopt_state_dict" in str(exc_info.value) |
| 58 | + |
| 59 | + def test_validate_modelopt_state_invalid_entry_not_tuple(self): |
| 60 | + """Test validation fails when state_dict entry is not a tuple.""" |
| 61 | + with pytest.raises(ValueError) as exc_info: |
| 62 | + mto.ModeloptStateManager.validate_modelopt_state({ |
| 63 | + "modelopt_state_dict": [{"mode": "quantize"}], |
| 64 | + "modelopt_version": "0.1.0", |
| 65 | + }) |
| 66 | + assert "tuple of length 2" in str(exc_info.value) |
| 67 | + |
| 68 | + def test_validate_modelopt_state_invalid_entry_wrong_length(self): |
| 69 | + """Test validation fails when tuple has wrong length.""" |
| 70 | + with pytest.raises(ValueError) as exc_info: |
| 71 | + mto.ModeloptStateManager.validate_modelopt_state({ |
| 72 | + "modelopt_state_dict": [("quantize",)], |
| 73 | + "modelopt_version": "0.1.0", |
| 74 | + }) |
| 75 | + assert "tuple of length 2" in str(exc_info.value) |
| 76 | + |
| 77 | + def test_validate_modelopt_state_invalid_mode_name_type(self): |
| 78 | + """Test validation fails when mode name is not a string.""" |
| 79 | + with pytest.raises(TypeError) as exc_info: |
| 80 | + mto.ModeloptStateManager.validate_modelopt_state({ |
| 81 | + "modelopt_state_dict": [(123, {})], |
| 82 | + "modelopt_version": "0.1.0", |
| 83 | + }) |
| 84 | + assert "mode name" in str(exc_info.value) |
| 85 | + assert "string" in str(exc_info.value) |
| 86 | + |
| 87 | + def test_validate_modelopt_state_invalid_mode_state_type(self): |
| 88 | + """Test validation fails when mode state is not a dictionary.""" |
| 89 | + with pytest.raises(TypeError) as exc_info: |
| 90 | + mto.ModeloptStateManager.validate_modelopt_state({ |
| 91 | + "modelopt_state_dict": [("quantize", "not a dict")], |
| 92 | + "modelopt_version": "0.1.0", |
| 93 | + }) |
| 94 | + assert "mode state" in str(exc_info.value) |
| 95 | + assert "dictionary" in str(exc_info.value) |
| 96 | + |
| 97 | + def test_load_modelopt_state_valid_file(self): |
| 98 | + """Test loading a valid modelopt state from file.""" |
| 99 | + valid_state = { |
| 100 | + "modelopt_state_dict": [], |
| 101 | + "modelopt_version": "0.1.0", |
| 102 | + } |
| 103 | + with tempfile.NamedTemporaryFile(suffix=".pt", delete=False) as f: |
| 104 | + temp_file = f.name |
| 105 | + try: |
| 106 | + torch.save(valid_state, temp_file) |
| 107 | + loaded_state = mto.load_modelopt_state(temp_file) |
| 108 | + assert loaded_state == valid_state |
| 109 | + finally: |
| 110 | + os.remove(temp_file) |
| 111 | + |
| 112 | + def test_load_modelopt_state_invalid_file(self): |
| 113 | + """Test loading an invalid modelopt state from file.""" |
| 114 | + invalid_state = [1, 2, 3] |
| 115 | + with tempfile.NamedTemporaryFile(suffix=".pt", delete=False) as f: |
| 116 | + temp_file = f.name |
| 117 | + try: |
| 118 | + torch.save(invalid_state, temp_file) |
| 119 | + with pytest.raises(TypeError) as exc_info: |
| 120 | + mto.load_modelopt_state(temp_file) |
| 121 | + assert "Expected loaded modelopt state to be a dictionary" in str(exc_info.value) |
| 122 | + finally: |
| 123 | + os.remove(temp_file) |
| 124 | + |
| 125 | + def test_load_modelopt_state_with_valid_entries(self): |
| 126 | + """Test loading modelopt state with valid mode entries.""" |
| 127 | + valid_state = { |
| 128 | + "modelopt_state_dict": [ |
| 129 | + ("quantize", {"config": {}, "metadata": {}}), |
| 130 | + ], |
| 131 | + "modelopt_version": "0.1.0", |
| 132 | + } |
| 133 | + with tempfile.NamedTemporaryFile(suffix=".pt", delete=False) as f: |
| 134 | + temp_file = f.name |
| 135 | + try: |
| 136 | + torch.save(valid_state, temp_file) |
| 137 | + loaded_state = mto.load_modelopt_state(temp_file) |
| 138 | + assert loaded_state == valid_state |
| 139 | + finally: |
| 140 | + os.remove(temp_file) |
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