Docstring nits
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@ -50,10 +50,10 @@ class BaseSeparableConv(Layer):
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activation: Activation function. If `None`, no activation is applied.
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use_bias: bool, if `True`, bias will be added to the output.
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depthwise_initializer: An initializer for the depthwise convolution
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kernel. If None, then the default initializer ('"glorot_uniform"')
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kernel. If None, then the default initializer (`"glorot_uniform"`)
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will be used.
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pointwise_initializer: An initializer for the pointwise convolution
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kernel. If None, then the default initializer ('"glorot_uniform"')
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kernel. If None, then the default initializer (`"glorot_uniform"`)
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will be used.
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bias_initializer: An initializer for the bias vector. If None, the
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default initializer ('"zeros"') will be used.
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@ -48,10 +48,10 @@ class SeparableConv1D(BaseSeparableConv):
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activation: Activation function. If `None`, no activation is applied.
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use_bias: bool, if `True`, bias will be added to the output.
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depthwise_initializer: An initializer for the depthwise convolution
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kernel. If None, then the default initializer ('"glorot_uniform"')
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kernel. If None, then the default initializer (`"glorot_uniform"`)
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will be used.
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pointwise_initializer: An initializer for the pointwise convolution
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kernel. If None, then the default initializer ('"glorot_uniform"')
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kernel. If None, then the default initializer (`"glorot_uniform"`)
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will be used.
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bias_initializer: An initializer for the bias vector. If None, the
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default initializer ('"zeros"') will be used.
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@ -48,10 +48,10 @@ class SeparableConv2D(BaseSeparableConv):
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activation: Activation function. If `None`, no activation is applied.
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use_bias: bool, if `True`, bias will be added to the output.
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depthwise_initializer: An initializer for the depthwise convolution
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kernel. If None, then the default initializer ('"glorot_uniform"')
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kernel. If None, then the default initializer (`"glorot_uniform"`)
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will be used.
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pointwise_initializer: An initializer for the pointwise convolution
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kernel. If None, then the default initializer ('"glorot_uniform"')
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kernel. If None, then the default initializer (`"glorot_uniform"`)
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will be used.
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bias_initializer: An initializer for the bias vector. If None, the
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default initializer ('"zeros"') will be used.
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