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This commit is contained in:
Francois Chollet 2023-05-11 16:07:59 -07:00
parent 7e8a4e5590
commit e56c7650e2
3 changed files with 6 additions and 6 deletions
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4
keras_core/layers/convolutional/base_separable_conv.py
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@ -50,10 +50,10 @@ class BaseSeparableConv(Layer):
activation: Activation function. If `None`, no activation is applied. activation: Activation function. If `None`, no activation is applied.
use_bias: bool, if `True`, bias will be added to the output. use_bias: bool, if `True`, bias will be added to the output.
depthwise_initializer: An initializer for the depthwise convolution depthwise_initializer: An initializer for the depthwise convolution
kernel. If None, then the default initializer ('"glorot_uniform"') kernel. If None, then the default initializer (`"glorot_uniform"`)
will be used. will be used.
pointwise_initializer: An initializer for the pointwise convolution pointwise_initializer: An initializer for the pointwise convolution
kernel. If None, then the default initializer ('"glorot_uniform"') kernel. If None, then the default initializer (`"glorot_uniform"`)
will be used. will be used.
bias_initializer: An initializer for the bias vector. If None, the bias_initializer: An initializer for the bias vector. If None, the
default initializer ('"zeros"') will be used. default initializer ('"zeros"') will be used.

4
keras_core/layers/convolutional/separable_conv1d.py
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@ -48,10 +48,10 @@ class SeparableConv1D(BaseSeparableConv):
activation: Activation function. If `None`, no activation is applied. activation: Activation function. If `None`, no activation is applied.
use_bias: bool, if `True`, bias will be added to the output. use_bias: bool, if `True`, bias will be added to the output.
depthwise_initializer: An initializer for the depthwise convolution depthwise_initializer: An initializer for the depthwise convolution
kernel. If None, then the default initializer ('"glorot_uniform"') kernel. If None, then the default initializer (`"glorot_uniform"`)
will be used. will be used.
pointwise_initializer: An initializer for the pointwise convolution pointwise_initializer: An initializer for the pointwise convolution
kernel. If None, then the default initializer ('"glorot_uniform"') kernel. If None, then the default initializer (`"glorot_uniform"`)
will be used. will be used.
bias_initializer: An initializer for the bias vector. If None, the bias_initializer: An initializer for the bias vector. If None, the
default initializer ('"zeros"') will be used. default initializer ('"zeros"') will be used.

4
keras_core/layers/convolutional/separable_conv2d.py
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@ -48,10 +48,10 @@ class SeparableConv2D(BaseSeparableConv):
activation: Activation function. If `None`, no activation is applied. activation: Activation function. If `None`, no activation is applied.
use_bias: bool, if `True`, bias will be added to the output. use_bias: bool, if `True`, bias will be added to the output.
depthwise_initializer: An initializer for the depthwise convolution depthwise_initializer: An initializer for the depthwise convolution
kernel. If None, then the default initializer ('"glorot_uniform"') kernel. If None, then the default initializer (`"glorot_uniform"`)
will be used. will be used.
pointwise_initializer: An initializer for the pointwise convolution pointwise_initializer: An initializer for the pointwise convolution
kernel. If None, then the default initializer ('"glorot_uniform"') kernel. If None, then the default initializer (`"glorot_uniform"`)
will be used. will be used.
bias_initializer: An initializer for the bias vector. If None, the bias_initializer: An initializer for the bias vector. If None, the
default initializer ('"zeros"') will be used. default initializer ('"zeros"') will be used.