Export: remove torch dynamic qdq

src/brevitas/export/torch/qcdq/handler.py

@@ -15,7 +15,6 @@
 from brevitas.export.common.handler.qcdq import DQCastMixin
 from brevitas.export.common.handler.qcdq import QCDQCastActQuantProxyHandlerMixin
 from brevitas.export.common.handler.qcdq import QCDQCastTruncQuantProxyHandlerMixin
-from brevitas.export.common.handler.qcdq import DynamicQDQActQuantProxyHandlerMixin
 from brevitas.export.common.handler.qcdq import QMixin
 
 
@@ -90,29 +89,6 @@ def quantize_fn(self, x, scale, zero_point, dtype, axis):
         return y.int_repr()
 
 
-class TorchDynamicQDQCastMixin(QMixin, TorchDQCastMixin, ABC):
-
-    @classmethod
-    def int8_dtype(cls):
-        return torch.qint8
-
-    @classmethod
-    def uint8_dtype(cls):
-        return torch.quint8
-
-    @classmethod
-    def int32_dtype(cls):
-        return torch.qint32
-
-    def validate(self, module):
-        super().validate(module)
-        self.validate_8b_bit_width(module.bit_width(), le_then=False)
-        assert module.rounding_mode.upper() == 'ROUND', 'Only round to nearest even supported'
-
-    def quantize_fn(self, x, scale, zero_point, dtype, axis):
-        raise RuntimeError("Currently there is no representation for Dynamic Quantization in Torch")
-
-
 class TorchQCDQHandler(BaseHandler):
 
     def forward(self, *args, **kwargs):
@@ -158,12 +134,6 @@ def int_clip_symbolic_kwargs(cls, narrow, signed, bit_width):
         return _itemize_clip_bounds(clip_args)
 
 
-class StdDynamicQDQCastONNXActQuantProxyHandler(TorchDynamicQDQCastMixin,
-                                                DynamicQDQActQuantProxyHandlerMixin,
-                                                TorchQCDQHandler):
-    pass
-
-
 class TorchCDQCastBiasQuantProxyHandler(TorchDQCastMixin,
                                         CDQCastBiasQuantProxyHandlerMixin,
                                         TorchQCDQHandler):