ce961ed06c22bf7c1178162450a88174fb401c14,tensorforce/core/preprocessing/normalize.py,Normalize,process,#Normalize#Any#,31

Before Change

    def process(self, state):
        state = state.astype(np.float32)
        return (state - state.min()) / (state.max() - state.min() + util.epsilon)

After Change

    def process(self, state):
        // Min/max across every axis except batch dimension.
        min = tf.reduce_min(input_tensor=state, axis=np.arange(1, util.rank(state)))
        max = tf.reduce_max(input_tensor=state, axis=np.arange(1, util.rank(state)))

        return (state - min) / (max - min + util.epsilon)

Instances