Learning func-27-1-15 ./test/critiquepracticalreason_00_kant_64kb.c2c…

…b-3200 --load-weights=out/func-27-1-15/weights-5160.h5

generator.py

@@ -91,14 +91,20 @@ def generate(self, iteration):
     utils = self.utils
     all_frames = self.all_frames
     seed_seq_len = self.seed_seq_len
-    generate_len = self.generate_len
     framelen = self.config.framelen
     num_frames = self.num_frames
     overlap_sequence = self.config.overlap_sequence
     generate_num_outputs = self.config.generate_num_outputs
     frame_seq_len = self.config.frame_seq_len
     use_short_input = False
 
+    if utils.generate_mode() :
+      generate_len = self.config.one_off_generate_len
+    else:
+      generate_len = self.generate_len
+
+
+
     model_def = utils.model_def
 
     for outi in range(generate_num_outputs):
@@ -134,7 +140,7 @@ def generate(self, iteration):
 
         for i in range(loop_len):
           if utils.generate_mode():
-            print("Generating", i, "of", generate_len)
+            print("Generating", i, "of", loop_len-1)
           # setup seed input
           x = np.zeros((1, seed_seq_len, framelen), dtype=np.float32)
         #   if overlap_sequence != 0:
@@ -156,7 +162,7 @@ def generate(self, iteration):
           else:
             inx = x
 
-          if utils.generate_mode() : utils.log("predicting",i)
+          if utils.generate_mode() : utils.log("predicting", i)
           # run the prediction for the next frame, getting the result
           # from the specified output, outi
           all_predicted_frame_props = model_def.model.predict_on_batch(inx)
@@ -171,7 +177,7 @@ def generate(self, iteration):
 
           predicted_frame_props = all_predicted_frame_props[outi]
 
-          if loop_len > 0:
+          if loop_len > 0 and i < loop_len-1:
             # predicted_frame_props = model_def.model.predict(x,
             # batch_size=self.generate_len, verbose=0)[0]
             # generate a Codec 2 frame from the predicted frame property values

model_utils.py

@@ -113,7 +113,7 @@ def __init__(self):
 
 
     if named_args.get('generate-len', None):
-      self.one_off_generate_len = int(named_args['generate-len'])
+      self.config.one_off_generate_len = int(named_args['generate-len'])
 
     if named_args.get('load-weights', None):
       self.load_weights = named_args['load-weights']
@@ -239,6 +239,8 @@ def log(self, *inargs):
       args = []
       for a in inargs:
         args.append(str(a))
+        print(str(a)),
+      print
       self.buffered_logs.append(str.join(" ", args) + "\n")
       return
     elif len(self.buffered_logs) > 0:

out/func-27-1-15/config.json

@@ -1 +1 @@
-{"start_iteration": 3768, "num_iterations": 15000, "fit_batch_size": 5, "learn_next_step": false, "gen_every_nth": 10, "generate_num_outputs": 2, "save_model_every_nth": 10, "framelen": 13, "frame_seq_len": 200, "overlap_sequence": 1, "seed_seq_len": 200, "seed_start_index": 60, "seq_step": 198, "test_data_fn": "./test/critiquepracticalreason_00_kant_64kb.c2cb-3200", "frame_prop_orig_scale": [1, 127, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31], "frame_prop_loss_scale": [1, 127, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31], "stateful": false, "shuffle": false, "limit_frames": 0, "optimizer": {"name": "SGD", "params": {"lr": 0.005}}, "generate_len": 200, "model_filename": "out/func-27-1-15/model-3768.h5", "frame_len_ms": 20}
+{"start_iteration": 5166, "num_iterations": 15000, "fit_batch_size": 5, "learn_next_step": false, "gen_every_nth": 10, "generate_num_outputs": 2, "save_model_every_nth": 10, "framelen": 13, "frame_seq_len": 400, "overlap_sequence": 1, "seed_seq_len": 400, "seed_start_index": 60, "seq_step": 198, "test_data_fn": "./test/critiquepracticalreason_00_kant_64kb.c2cb-3200", "frame_prop_orig_scale": [1, 127, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31], "frame_prop_loss_scale": [1, 127, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31], "stateful": false, "shuffle": false, "limit_frames": 0, "optimizer": {"name": "SGD", "params": {"lr": 0.005}}, "generate_len": 400, "model_filename": "out/func-27-1-15/model-5166.h5", "frame_len_ms": 20}