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Keval Morabia
cb8f9efa50
Signed-off-by: Keval Morabia <28916987+kevalmorabia97@users.noreply.github.com>
33 lines
1.3 KiB
Python
33 lines
1.3 KiB
Python
# SPDX-FileCopyrightText: Copyright (c) 2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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# SPDX-License-Identifier: Apache-2.0
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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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import pytest
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import torch
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from _test_utils.torch.export.utils import ToyModel, partial_fp8_config, partial_w4a8_config
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import modelopt.torch.quantization as mtq
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from modelopt.torch.export.layer_utils import get_quantization_format
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from modelopt.torch.export.model_config import QUANTIZATION_FP8, QUANTIZATION_W4A8_AWQ
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@pytest.mark.parametrize(
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("config", "expected"),
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[(partial_fp8_config, QUANTIZATION_FP8), (partial_w4a8_config, QUANTIZATION_W4A8_AWQ)],
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)
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def test_get_quantization_format(config, expected):
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model = ToyModel()
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mtq.quantize(model, config, lambda x: x(torch.randn(1, 4, 10)))
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assert get_quantization_format(model) == expected
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