internal static void activate(layer_t layer, tensor_t <float> in)
{
switch (layer.type)
{
case layer_type.conv:
((conv_layer_t)layer).activate(in.functorMethod);
return;
case layer_type.relu:
((relu_layer_t)layer).activate(in.functorMethod);
return;
case layer_type.fc:
((fc_layer_t)layer).activate(in.functorMethod);
return;
case layer_type.pool:
((pool_layer_t)layer).activate(in.functorMethod);
return;
case layer_type.dropout_layer:
((dropout_layer_t)layer).activate(in.functorMethod);
return;
default:
Debug.Assert(false);
break;
}
}
internal static void calc_grads(layer_t layer, tensor_t <float> grad_next_layer)
{
switch (layer.type)
{
case layer_type.conv:
((conv_layer_t)layer).calc_grads(grad_next_layer.functorMethod);
return;
case layer_type.relu:
((relu_layer_t)layer).calc_grads(grad_next_layer.functorMethod);
return;
case layer_type.fc:
((fc_layer_t)layer).calc_grads(grad_next_layer.functorMethod);
return;
case layer_type.pool:
((pool_layer_t)layer).calc_grads(grad_next_layer.functorMethod);
return;
case layer_type.dropout_layer:
((dropout_layer_t)layer).calc_grads(grad_next_layer.functorMethod);
return;
default:
Debug.Assert(false);
break;
}
}
internal static void fix_weights(layer_t layer)
{
switch (layer.type)
{
case layer_type.conv:
((conv_layer_t)layer).fix_weights();
return;
case layer_type.relu:
((relu_layer_t)layer).fix_weights();
return;
case layer_type.fc:
((fc_layer_t)layer).fix_weights();
return;
case layer_type.pool:
((pool_layer_t)layer).fix_weights();
return;
case layer_type.dropout_layer:
((dropout_layer_t)layer).fix_weights();
return;
default:
Debug.Assert(false);
break;
}
}
