MRuby binding for TensorFlow Lite
interface to TensorFlow Lite for mruby
model = TfLite::Model.from_file "xor_model.tflite"
interpreter = TfLite::Interpreter.new(model)
interpreter.allocate_tensors
input = interpreter.input_tensor(0)
output = interpreter.output_tensor(0)
[[0,0], [1,0], [0,1], [1,1]].each do |x|
input.data = x
interpreter.invoke
puts output.data[0].round
endMIT
Yasuhiro Matsumoto (a.k.a. mattn)
-model.fit(X, y, verbose=True, batch_size=1, nb_epoch=1000)
+model.fit(X, y, verbose=True, batch_size=1, epochs=1000)$python maketflite.py
Traceback (most recent call last):
File "maketflite.py", line 2, in <module>
import tensorflow.contrib.lite as lite
ModuleNotFoundError: No module named 'tensorflow.contrib'$ python --version
Python 3.8.10
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