Created
November 29, 2017 12:05
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#!/usr/bin/env python3.5 | |
from common.base import Base | |
import tensorflow as tf | |
class ClassName(Base): | |
""" | |
Add description about class | |
""" | |
""" Declare input, output, parameter names | |
class Input: | |
X = "x" | |
class Output: | |
RESULT = "result" | |
class Params: | |
NAME = "name" | |
""" | |
def __init__(self, tf_session, name): | |
Base.__init__(self, tf_session=tf_session, name=name) | |
""" Create all inputs, outputs, parameters | |
Example: | |
self.add_input(self.Input.X, desc="A Tensor or SparseTensor of type float32, float64, int32, int64, complex64 or complex128", important=True) | |
self.add_output(self.Output.RESULT, desc="A Tensor or SparseTensor the same size and type as x with absolute values.") | |
self.add_param(self.Params.NAME, desc="abs", value=name, important=False) | |
""" | |
def init(self): | |
""" Init tensorflow objects and return it as a dictionary | |
Example: | |
res = tf.abs(x=self.get_input(self.Input.X), | |
name=self.get_param(self.Params.NAME) | |
) | |
self.set_output(self.Output.RESULT, res) | |
return {self.Output.RESULT: res} | |
""" | |
pass | |
def run(self): | |
""" This section is not used at the moment and will never be launched | |
""" | |
pass | |
def stop(self): | |
""" This section is not used at the moment and will never be launched | |
""" | |
pass | |
def create_summary(self): | |
"""Attach a lot of summaries to a Tensors (for TensorBoard visualization).""" | |
pass |
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