added LPCNet torch implementation

Signed-off-by: Jan Buethe <jbuethe@amazon.de>

dnn/torch/lpcnet/test_lpcnet.py

@@ -0,0 +1,60 @@
+import argparse
+
+import torch
+import numpy as np
+
+
+from models import model_dict
+from utils.data import load_features
+from utils.wav import wavwrite16
+
+debug = False
+if debug:
+    args = type('dummy', (object,),
+    {
+        'features'      : 'features.f32',
+        'checkpoint'    : 'checkpoint.pth',
+        'output'        : 'out.wav',
+        'version'       : 2
+    })()
+else:
+    parser = argparse.ArgumentParser()
+
+    parser.add_argument('features', type=str, help='feature file')
+    parser.add_argument('checkpoint', type=str, help='checkpoint file')
+    parser.add_argument('output', type=str, help='output file')
+    parser.add_argument('--version', type=int, help='feature version', default=2)
+
+    args = parser.parse_args()
+
+
+torch.set_num_threads(2)
+
+version = args.version
+feature_file = args.features
+checkpoint_file = args.checkpoint
+
+
+
+output_file = args.output
+if not output_file.endswith('.wav'):
+    output_file += '.wav'
+
+checkpoint = torch.load(checkpoint_file, map_location="cpu")
+
+# check model
+if not 'model' in checkpoint['setup']['lpcnet']:
+    print(f'warning: did not find model entry in setup, using default lpcnet')
+    model_name = 'lpcnet'
+else:
+    model_name = checkpoint['setup']['lpcnet']['model']
+
+model = model_dict[model_name](checkpoint['setup']['lpcnet']['config'])
+
+model.load_state_dict(checkpoint['state_dict'])
+
+data = load_features(feature_file)
+
+output = model.generate(data['features'], data['periods'], data['lpcs'])
+
+wavwrite16(output_file, output.numpy(), 16000)