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How to use _activate method in pyatom

Best Python code snippet using pyatom_python

Layers.py

Source:Layers.py

...5    def __init__(self, shape):6        self.shape = shape7    def activate(self, x, w, bias=None, predict=False):8        if bias is None:9            return self._activate(tf.matmul(x, w), predict)10        return self._activate(tf.matmul(x, w) + bias, predict)11    @abstractmethod12    def _activate(self, x, predict):13        pass14# Activation Layers15class Tanh(Layer):16    def _activate(self, x, predict):17        return tf.tanh(x)18class Sigmoid(Layer):19    def _activate(self, x, predict):20        return tf.nn.sigmoid(x)21class ELU(Layer):22    def _activate(self, x, predict):23        return tf.nn.elu(x)24class ReLU(Layer):25    def _activate(self, x, predict):26        return tf.nn.relu(x)27class Softplus(Layer):28    def _activate(self, x, predict):29        return tf.nn.softplus(x)30class Identical(Layer):31    def _activate(self, x, predict):32        return x33class CF0910(Layer):34    def _activate(self, x, predict):35        return tf.minimum(tf.maximum(x, 0), 6)36# Cost Layers37class CostLayer(Layer):38    def _activate(self, x, y):39        pass40    def calculate(self, y, y_pred):41        return self._activate(y.astype(np.float32), y_pred)42class CrossEntropy(CostLayer):43    def _activate(self, x, y):44        return tf.reduce_mean(tf.nn.softmax_cross_entropy_with_logits(logits=x, labels=y))45class MSE(CostLayer):46    def _activate(self, x, y):...

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