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class UniformQuantization:
# TODO: add more types of activations and matmuls
self.support_act_types = ['Relu', 'Relu6', 'Crelu', 'Elu', 'Selu', 'Softplus',
'Softsign', 'Sigmoid', 'Tanh']
self.support_mul_types = ['Conv2D', 'MatMul', 'DepthwiseConv2dNative']
a common problem, we want do quantization on conv layer, not only on active layer. Worst
case is a full Conv Net(no active layer), how this method work?
The text was updated successfully, but these errors were encountered:
class UniformQuantization:
# TODO: add more types of activations and matmuls
self.support_act_types = ['Relu', 'Relu6', 'Crelu', 'Elu', 'Selu', 'Softplus',
'Softsign', 'Sigmoid', 'Tanh']
self.support_mul_types = ['Conv2D', 'MatMul', 'DepthwiseConv2dNative']
a common problem, we want do quantization on conv layer, not only on active layer. Worst
case is a full Conv Net(no active layer), how this method work?
The text was updated successfully, but these errors were encountered: