mirror of
https://github.com/PaddlePaddle/FastDeploy.git
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79 lines
3.1 KiB
Python
79 lines
3.1 KiB
Python
"""
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# Copyright (c) 2025 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License"
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""
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import unittest
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from unittest import mock
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from fastdeploy.model_executor.layers.quantization.w4a8 import W4A8Config
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from fastdeploy.platforms import current_platform
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class TestW4A8Config(unittest.TestCase):
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def setUp(self):
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self.config = W4A8Config(is_permuted=False, hadamard_block_size=128)
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def test_name(self):
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"""Test name() method"""
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self.assertEqual(self.config.name(), "w4a8")
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def test_from_config_defaults(self):
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"""Test from_config with empty dict uses defaults"""
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cfg = W4A8Config.from_config({})
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self.assertTrue(cfg.is_permuted)
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self.assertEqual(cfg.hadamard_block_size, 128)
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def test_from_config_full(self):
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"""Test from_config with full dict"""
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cfg = W4A8Config.from_config({"is_permuted": False, "hadamard_block_size": 64})
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self.assertFalse(cfg.is_permuted)
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self.assertEqual(cfg.hadamard_block_size, 64)
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def test_get_quant_method_cuda(self):
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"""Test get_quant_method returns CUDA method when on CUDA platform"""
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with (
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mock.patch.object(current_platform, "is_cuda", return_value=True),
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mock.patch(
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"fastdeploy.model_executor.layers.moe.fused_moe_cutlass_backend.CutlassW4A8MoEMethod"
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) as mock_cuda,
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):
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layer = mock.Mock()
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method = self.config.get_quant_method(layer)
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mock_cuda.assert_called_once_with(self.config)
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self.assertEqual(method, mock_cuda.return_value)
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@unittest.skipIf(not hasattr(current_platform, "is_xpu") or not current_platform.is_xpu(), "No XPU, skip test")
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def test_get_quant_method_xpu(self):
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"""Test get_quant_method returns XPU method when on XPU platform"""
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with mock.patch("fastdeploy.model_executor.layers.backends.xpu.moe.fused_moe.XPUW4A8MoEMethod") as mock_xpu:
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layer = mock.Mock()
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method = self.config.get_quant_method(layer)
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mock_xpu.assert_called_once_with(self.config)
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self.assertEqual(method, mock_xpu.return_value)
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def test_get_quant_method_unsupported(self):
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"""Test that unsupported platform raises ValueError"""
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with (
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mock.patch.object(current_platform, "is_cuda", return_value=False),
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mock.patch.object(current_platform, "is_xpu", return_value=False),
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):
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layer = mock.Mock()
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with self.assertRaises(ValueError):
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self.config.get_quant_method(layer)
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if __name__ == "__main__":
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unittest.main()
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