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https://github.com/PaddlePaddle/FastDeploy.git
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354ddc8bc5
* add unnitest for activation, native_paddle_backend, w4a8, w4afp8, platforms/utils * Remove activation function retrieval tests Removed tests for valid and unsupported activation function retrieval. * move w4a8, w4afp8 to quantization * fix code style
32 lines
1.2 KiB
Python
32 lines
1.2 KiB
Python
import unittest
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from unittest.mock import patch
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import numpy as np
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import paddle
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from fastdeploy.platforms.utils import convert_to_npu_dequant_scale
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class TestConvertToNpuDequantScale(unittest.TestCase):
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def test_npu_not_available(self):
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with patch("paddle.is_compiled_with_custom_device", return_value=False):
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x = paddle.to_tensor([1.0, 2.0, 3.0], dtype=paddle.float32)
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out = convert_to_npu_dequant_scale(x)
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self.assertTrue((out.numpy() == x.numpy()).all())
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def test_npu_available(self):
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with patch("paddle.is_compiled_with_custom_device", return_value=True):
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x = paddle.to_tensor([1, 2, 3], dtype=paddle.float32)
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out = convert_to_npu_dequant_scale(x)
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self.assertEqual(out.dtype, paddle.int64)
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# Verify scaled output matches expected NPU dequantization format
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arr = x.numpy()
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new_deq_scale = np.stack([arr.reshape(-1, 1), np.zeros_like(arr).reshape(-1, 1)], axis=-1).reshape(-1)
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expected = np.frombuffer(new_deq_scale.tobytes(), dtype=np.int64)
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self.assertTrue((out.numpy() == expected).all())
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if __name__ == "__main__":
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unittest.main()
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