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@@ -75,7 +75,7 @@ class TQT(_FakeQuantize, QParamsModuleMixin): |
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for Accurate and Efficient Fixed-Point Inference of Deep Neural Networks. |
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:param dtype: a string or :class:`~.QuantDtypeMeta` indicating the target |
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quantization dtype of input. |
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quantization dtype of input. |
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:param enable: whether do ``normal_forward`` or ``fake_quant_forward``. |
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""" |
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@@ -106,7 +106,7 @@ class FakeQuantize(_FakeQuantize): |
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A module to do quant and dequant according to observer's scale and zero_point. |
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:param dtype: a string or :class:`~.QuantDtypeMeta` indicating the target |
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quantization dtype of input. |
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quantization dtype of input. |
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:param enable: whether do ``normal_forward`` or ``fake_quant_forward``. |
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""" |
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