Extenting uses

src/nf/nf_layer_constructors.f90

@@ -8,7 +8,7 @@ module nf_layer_constructors
   implicit none
 
   private
-  public :: conv2d, dense, flatten, input, maxpool2d, reshape
+  public :: conv2d, dense, flatten, input, maxpool2d, reshape, rnn
 
   interface input
 

src/nf/nf_layer_constructors_submodule.f90

@@ -8,6 +8,7 @@
   use nf_input3d_layer, only: input3d_layer
   use nf_maxpool2d_layer, only: maxpool2d_layer
   use nf_reshape_layer, only: reshape3d_layer
+  use nf_rnn_layer, only: rnn_layer
   use nf_activation, only: activation_function, relu, sigmoid
 
   implicit none

src/nf/nf_layer_submodule.f90

@@ -8,6 +8,7 @@
   use nf_input3d_layer, only: input3d_layer
   use nf_maxpool2d_layer, only: maxpool2d_layer
   use nf_reshape_layer, only: reshape3d_layer
+  use nf_rnn_layer, only: rnn_layer
   use nf_optimizers, only: optimizer_base_type
 
 contains
@@ -292,6 +293,8 @@ elemental module function get_num_params(self) result(num_params)
         num_params = 0
       type is (reshape3d_layer)
         num_params = 0
+      type is (rnn_layer)
+        num_params = this_layer % get_num_params()
       class default
         error stop 'Unknown layer type.'
     end select

src/nf/nf_network_submodule.f90

@@ -7,8 +7,11 @@
   use nf_input3d_layer, only: input3d_layer
   use nf_maxpool2d_layer, only: maxpool2d_layer
   use nf_reshape_layer, only: reshape3d_layer
+  use nf_rnn_layer, only: rnn_layer
+  use nf_io_hdf5, only: get_hdf5_dataset
+  use nf_keras, only: get_keras_h5_layers, keras_layer
   use nf_layer, only: layer
-  use nf_layer_constructors, only: conv2d, dense, flatten, input, maxpool2d, reshape
+  use nf_layer_constructors, only: conv2d, dense, flatten, input, maxpool2d, reshape, rnn
   use nf_loss, only: quadratic
   use nf_optimizers, only: optimizer_base_type, sgd
   use nf_parallel, only: tile_indices