public static Tensor conv2d(object parameters)
{
var args = Python.ConvertToDict(parameters);
var input = args["input"];
var filter = args["filter"];
var strides = args["strides"];
var padding = args["padding"];
var name = args["name"];
var data_format = args.ContainsKey("data_format") ? args["data_format"] : "NHWC";
var use_cudnn_on_gpu = args.ContainsKey("use_cudnn_on_gpu") ? args["use_cudnn_on_gpu"] : true;
var dilations = args.ContainsKey("dilations") ? args["dilations"] : new int[] { 1, 1, 1, 1 };
var _op = _op_def_lib._apply_op_helper("Conv2D", name: name?.ToString(), args: new
{
input,
filter,
strides,
padding,
use_cudnn_on_gpu,
data_format,
dilations
});
return(_op.outputs[0]);
}
public static Dictionary <string, object> ConvertToDict(object dyn) => Python.ConvertToDict(dyn);
