🔒 Tensorflow - tf.clip_by_value splitted in two layers Max and Min

[odd talon]

There is anyway to enforce just tf.clip_by_value? i need to validate the structure.

[runic idol]

@odd talon

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[odd talon]

tf.clip_by_value turns out in tf_op_layer_Minimum_3 and tf_op_layer_Maximum_3

there is no reference/documentation about tf_op_layer_Maximum_3 or tf_op_layer_Minimum_3

[tough plank]

Are you calling it on a Tensor or a Layer?

You probably should use an Activation function instead if you are working with layers

not sure if just Activation(tf.clip_by_value, clip_value_min=-1, clip_value_max=1) works (note: activation docs) or if you need to use an actual activation function like https://www.tensorflow.org/api_docs/python/tf/keras/activations/relu

[runic idol]

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