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fix Issues#44 and add support for dropout layer #45

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fix Issues#44 and add support for dropout layer #45

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9 changes: 5 additions & 4 deletions dump_percepnet.py
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Original file line number Diff line number Diff line change
Expand Up @@ -26,7 +26,7 @@
import torch
import sys
import rnn_train
from torch.nn import Sequential, GRU, Conv1d, Linear
from torch.nn import Sequential, GRU, Conv1d, Linear, Dropout
import numpy as np

def printVector(f, vector, name, dtype='float'):
Expand All @@ -53,7 +53,7 @@ def dump_sequential_module(self, f, name):
self[0].dump_data(f,name,activation)
Sequential.dump_data = dump_sequential_module

def dump_linear_module(self, f, name, activation):
def dump_linear_module(self, f, name, activation='LINEAR'):
print("printing layer " + name)
weight = self.weight
bias = self.bias
Expand Down Expand Up @@ -144,12 +144,13 @@ def dump_conv1d_module(self, f, name, activation):
f.write('#ifdef HAVE_CONFIG_H\n#include "config.h"\n#endif\n\n#include "nnet.h"\n#include "nnet_data.h"\n\n')

for name, module in model.named_children():
module.dump_data(f, name)
if "dropout" not in name:
module.dump_data(f, name)

f.write('extern const RNNModel percepnet_model_orig = {\n')
for name, module in model.named_children():
f.write(' &{},\n'.format(name))
f.write('};\n')

f.close()
print("done")
print("done")