Function local_conv

Apply N-D convolution with un-shared weights. Arguments: inputs: (N+2)-D tensor with shape (batch_size, channels_in, d_in1, ..., d_inN) if data_format='channels_first', or (batch_size, d_in1, ..., d_inN, channels_in) if data_format='channels_last'.

(inputs,
               kernel,
               kernel_size,
               strides,
               output_shape,
               data_format=None)