Merge pull request #17963 from SamuelMarks:keras.layers.convolutional-defaults-to

PiperOrigin-RevId: 536843239

Author: tensorflower-gardener

keras/layers/convolutional/base_depthwise_conv.py

@@ -65,10 +65,10 @@ class DepthwiseConv(Conv):
         `channels_first`.  The ordering of the dimensions in the inputs.
         `channels_last` corresponds to inputs with shape `(batch_size, height,
         width, channels)` while `channels_first` corresponds to inputs with
-        shape `(batch_size, channels, height, width)`. It defaults to the
-        `image_data_format` value found in your Keras config file at
-        `~/.keras/keras.json`. If you never set it, then it will be
-        'channels_last'.
+        shape `(batch_size, channels, height, width)`. If left unspecified,
+        uses `image_data_format` value found in your Keras config file at
+        `~/.keras/keras.json` (if exists) else 'channels_last'.
+        Defaults to 'channels_last'.
       dilation_rate: An integer or tuple/list of 2 integers, specifying the
         dilation rate to use for dilated convolution. Currently, specifying any
         `dilation_rate` value != 1 is incompatible with specifying any `strides`

keras/layers/convolutional/conv1d_transpose.py

@@ -54,7 +54,7 @@ class Conv1DTranspose(Conv1D):
       kernel_size: An integer length of the 1D convolution window.
       strides: An integer specifying the stride of the convolution along the
         time dimension. Specifying a stride value != 1 is incompatible with
-        specifying a `dilation_rate` value != 1. Defaults to 1.
+        specifying a `dilation_rate` value != 1. Defaults to `1`.
       padding: one of `"valid"` or `"same"` (case-insensitive).
         `"valid"` means no padding. `"same"` results in padding with zeros
         evenly to the left/right or up/down of the input such that output has

keras/layers/convolutional/conv2d.py

@@ -101,11 +101,11 @@ class Conv2D(Conv):
         `channels_first`.  The ordering of the dimensions in the inputs.
         `channels_last` corresponds to inputs with shape `(batch_size, height,
         width, channels)` while `channels_first` corresponds to inputs with
-        shape `(batch_size, channels, height, width)`. It defaults to the
-        `image_data_format` value found in your Keras config file at
-        `~/.keras/keras.json`. If you never set it, then it will be
-        `channels_last`. Note that the `channels_first` format is currently not
-        supported by TensorFlow on CPU.
+        shape `(batch_size, channels, height, width)`. If left unspecified, it
+        uses the `image_data_format` value found in your Keras config file at
+        `~/.keras/keras.json` (if exists) else 'channels_last'.
+        Note that the `channels_first` format is currently not
+        supported by TensorFlow on CPU. Defaults to 'channels_last'.
       dilation_rate: an integer or tuple/list of 2 integers, specifying the
         dilation rate to use for dilated convolution. Can be a single integer to
         specify the same value for all spatial dimensions. Currently, specifying