reformat layers-conv1d-transpose

Author: Ajay6601

ivy/functional/backends/numpy/layers.py

@@ -181,6 +181,41 @@ def conv1d_transpose(
     bias: Optional[np.ndarray] = None,
     out: Optional[np.ndarray] = None,
 ) -> np.ndarray:
+    """Compute a 1-D transpose convolution given 3-D input x and filters arrays.
+
+    Parameters
+    ----------
+    x
+        Input image *[batch_size,w,d_in]* or *[batch_size,d_in,w]*.
+    filters
+        Convolution filters *[fw,d_out,d_in]*.
+    strides
+        The stride of the sliding window for each dimension of input.
+    padding
+        Either 'SAME' (padding so that the output's shape is the same as the
+        input's), or 'VALID' (padding so that the output's shape is `output_shape`).
+    output_shape
+        Shape of the output (Default value = None)
+    filter_format
+        Either "channel_first" or "channel_last". "channel_first" corresponds
+        to "IOW",input data formats, while "channel_last" corresponds to "WOI".
+    data_format
+        The ordering of the dimensions in the input, one of "NWC" or "NCW". "NWC"
+        corresponds to input with shape (batch_size, width, channels), while "NCW"
+        corresponds to input with shape (batch_size, channels, width).
+    dilations
+        The dilation factor for each dimension of input. (Default value = 1)
+    bias
+        Bias array of shape *[d_out]*.
+    out
+        optional output array, for writing the result to. It must have a shape that the
+        inputs broadcast to.
+
+    Returns
+    -------
+    ret
+        The result of the transpose convolution operation.
+    """
     if data_format == "NCW":
         x = np.transpose(x, (0, 2, 1))
     if filter_format == "channel_last":