public override List <Tensor> Call(List <Array> inputs)
{
var feed_dict = new Dictionary <Variable, Array>();
foreach (var(tensor, value) in Enumerable.Zip(this.placeholders, inputs, (a, b) => (a, b)))
{
Type t = value.GetInnerMostType();
Array v = value;
// cntk only support calculate on float, do auto cast here
if (t != typeof(float) && t != typeof(double))
{
v = MatrixEx.Convert <double>(value);
}
feed_dict[tensor] = v;
}
var updated = new List <Tensor>();
if (this.trainer != null)
{
var input_dict = new UnorderedMapVariableValuePtr();
foreach (Variable argument in this.loss.Arguments)
{
if (feed_dict.ContainsKey(argument))
{
input_dict[argument] = new Value(CNTKBackend.In(feed_dict[argument]));
}
else
{
throw new Exception($"CNTK backend: argument {argument.Name} is not found in inputs. Please double check the model and inputs in 'train_function'.");
}
}
var result = this.trainer.TrainMinibatch(input_dict, this.trainer_output);
foreach (Variable o in this.trainer_output.Keys)
{
updated.Add(c.Out(this.trainer_output[o]));
}
}
if (this.metrics_func != null)
{
var input_dict = new Dictionary <Variable, Value>();
foreach (Variable argument in this.metrics_func.Arguments)
{
if (feed_dict.ContainsKey(argument))
{
input_dict[argument] = new Value(CNTKBackend.In(feed_dict[argument]));
}
else
{
throw new Exception($"CNTK backend: metrics argument {argument.Name} is not found in inputs. Please double check the model and inputs.");
}
}
var output_values = new Dictionary <Variable, Value>();
foreach (Variable variable in this.metrics_outputs)
{
output_values[variable] = null;
}
this.metrics_func.Evaluate(input_dict, output_values, DeviceDescriptor.CPUDevice);
foreach (Variable o in this.metrics_outputs)
{
Value value = output_values[o];
var v = c.Out(value);
updated.Add(v);
}
}
if (this.unrelated_updates != null)
{
var input_dict = new Dictionary <Variable, Value>();
foreach (Variable argument in this.unrelated_updates.Arguments)
{
if (feed_dict.ContainsKey(argument))
{
input_dict[argument] = new Value(CNTKBackend.In(feed_dict[argument]));
}
else
{
throw new Exception($"CNTK backend: assign ops argument {argument.Name} is not found in inputs. Please double check the model and inputs.");
}
}
var output_values = new Dictionary <Variable, Value>();
this.unrelated_updates.Evaluate(input_dict, output_values, DeviceDescriptor.CPUDevice);
}
return(updated);
}