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Diffstat (limited to 'dlstuff/seven.py')
-rwxr-xr-x | dlstuff/seven.py | 64 |
1 files changed, 64 insertions, 0 deletions
diff --git a/dlstuff/seven.py b/dlstuff/seven.py new file mode 100755 index 0000000..12cab94 --- /dev/null +++ b/dlstuff/seven.py @@ -0,0 +1,64 @@ +#!/usr/bin/python3 +# _*_ coding=utf-8 _*_ + +import argparse +import code +import readline +import signal +import sys +import keras +from keras import layers +from keras.datasets import imdb +from keras.preprocessing import sequence + +def SigHandler_SIGINT(signum, frame): + print() + sys.exit(0) + +class Argparser(object): + def __init__(self): + parser = argparse.ArgumentParser() + parser.add_argument("--string", type=str, help="string") + parser.add_argument("--bool", action="store_true", help="bool", default=False) + parser.add_argument("--dbg", action="store_true", help="debug", default=False) + self.args = parser.parse_args() + +# write code here +def premain(argparser): + signal.signal(signal.SIGINT, SigHandler_SIGINT) + #here + callbacks = [keras.callbacks.TensorBoard(log_dir="logfiles", histogram_freq=1, embeddings_freq=1,)] + max_features = 2000 + max_len = 500 + (x_train, y_train), (x_test, y_test) = imdb.load_data(num_words=max_features) + x_train = sequence.pad_sequences(x_train, maxlen=max_len) + x_test = sequence.pad_sequences(x_test, maxlen=max_len) + model = keras.models.Sequential() + model.add(layers.Embedding(max_features, 128, input_length=max_len, name="embed")) + model.add(layers.Conv1D(32, 7, activation="relu")) + model.add(layers.MaxPooling1D(5)) + model.add(layers.Conv1D(32, 7, activation="relu")) + model.add(layers.GlobalMaxPooling1D()) + model.add(layers.Dense(1)) + summary = model.summary() + print(summary) + model.compile(optimizer="rmsprop", loss="binary_crossentropy", metrics=["acc"]) + history = model.fit(x_train, y_train, epochs=20, batch_size=128, validation_split=0.2, callbacks=callbacks) + +def main(): + argparser = Argparser() + if argparser.args.dbg: + try: + premain(argparser) + except Exception as e: + print(e.__doc__) + if e.message: print(e.message) + variables = globals().copy() + variables.update(locals()) + shell = code.InteractiveConsole(variables) + shell.interact(banner="DEBUG REPL") + else: + premain(argparser) + +if __name__ == "__main__": + main() |