added LPCNet torch implementation

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

dnn/torch/lpcnet/print_lpcnet_complexity.py

@@ -0,0 +1,35 @@
+import argparse
+
+import yaml
+
+from models import model_dict
+
+
+debug = False
+if debug:
+    args = type('dummy', (object,),
+    {
+        'setup' : 'setups/lpcnet_m/setup_1_4_concatenative.yml',
+        'hierarchical_sampling' : False
+    })()
+else:
+    parser = argparse.ArgumentParser()
+    parser.add_argument('setup', type=str, help='setup yaml file')
+    parser.add_argument('--hierarchical-sampling', action="store_true", help='whether to assume hierarchical sampling (default=False)', default=False)
+
+    args = parser.parse_args()
+
+with open(args.setup, 'r') as f:
+    setup = yaml.load(f.read(), yaml.FullLoader)
+
+# check model
+if not 'model' in setup['lpcnet']:
+    print(f'warning: did not find model entry in setup, using default lpcnet')
+    model_name = 'lpcnet'
+else:
+    model_name = setup['lpcnet']['model']
+
+# create model
+model = model_dict[model_name](setup['lpcnet']['config'])
+
+gflops = model.get_gflops(16000, verbose=True, hierarchical_sampling=args.hierarchical_sampling)